WEBVTT 1 00:00:00.000 --> 00:00:01.000 It's it's it's 2 00:00:01.180 --> 00:00:02.710 Jim Donlon | NSF: it fills up a bit. 3 00:00:03.900 --> 00:00:04.980 Jim Donlon | NSF: Pigs, 4 00:00:26.000 --> 00:00:32.760 Jim Donlon | NSF: hey? Welcome, everybody! We're just going to give the the room a chance to fill up as people join coming out of the waiting room 5 00:00:35.940 --> 00:00:53.069 Jim Donlon | NSF: while people are joining. I'll just call your attention to the procedure we're going to use for Q. And A. I'll mention this once. We're well up to, but just give you an idea. So as always, if you're wondering about the the program and Haven't yet had time to see the the solicitation. You'll find 6 00:00:53.080 --> 00:00:57.440 Jim Donlon | NSF: everything that we've published so far on the program page. Here 7 00:00:58.950 --> 00:01:01.339 Jim Donlon | NSF: we will be posting the slides 8 00:01:01.660 --> 00:01:11.450 Jim Donlon | NSF: and the recording of the Webinar for everybody to reference. Later on, if you have colleagues who are unable to attend, or if you want to revisit the Webinar, 9 00:01:12.620 --> 00:01:16.220 Jim Donlon | NSF: the room still filling up, would just give up just a few more beats. 10 00:01:34.920 --> 00:02:01.940 Jim Donlon | NSF: Good afternoon, everybody, and thank you for joining. I'm Jim Donlan, program director and Nsf. Information and Intelligence Systems, and the program Director for the National Ai Research Institute's program on behalf of the entire working group. I'm: pleased to present you this webinar. The Webinar is scheduled to begin now at one thirty, and we're going to end it between two hundred and thirty and three, depending on how long. It takes us to exhaust all questions. We're going to present for approximately fifty minutes, and then we'll begin taking questions for the remainder of the time. 11 00:02:01.950 --> 00:02:31.640 Jim Donlon | NSF: So here you can see the procedure for Q. And A. You may submit your questions through the Q. And A. Module. So if you've never been on a zoom webinar you should find on your little toolbar there a button, as illustrated, called Q. A. Um. There's place there where you can type your questions in, and you'll also be able to see and even upload, if you like, the questions of other people. So we're going to be answering the questions that accumulate in there. As many of them live as we can. Some of them will answer directly in the module, if they're sort of straight, 12 00:02:31.650 --> 00:02:46.660 Jim Donlon | NSF: so we're going to answer as many program-wide questions as we can. If your question is about a particular proposing scenario we're likely to defer that to one on one contact between you. And the program leads one hundred and one. 13 00:02:52.560 --> 00:02:54.110 Jim Donlon | NSF: There we go. 14 00:02:54.120 --> 00:02:55.230 Jim Donlon | NSF: Two 15 00:02:55.240 --> 00:03:23.230 Jim Donlon | NSF: Ai research Institutes is a multi-section program represented by program directors across Nsf. As well as by program contacts representing the artificial prior artificial intelligence priorities of our partners. Several program contacts are attending the Webinar today. You're going to hear from the contacts listed here. These are the principal coordinators of their respective themes. We're also joined by representatives from partner organizations in the program solicitation. You'll find a full list of program contacts for the themes and their organization affiliations 16 00:03:23.240 --> 00:03:42.190 Jim Donlon | NSF: before we get into all that, i'm very honored to uh to uh introduce Dr. Catherine ponch ponchen often. Uh Dana Sep directors. Uh joined us to give you a welcome and and some encouragement about the program. So for that i'm going to drop the slides, and uh and hand it over to Dr. Bonf, sir. 17 00:03:42.480 --> 00:03:46.390 Sethuraman Panchanathan: Thank you, Jim, and it's truly a pleasure to be with all of you today, 18 00:03:46.400 --> 00:03:52.290 Sethuraman Panchanathan: and welcome to Nsf. And welcome to this Webinar. This is a very, very important 19 00:03:52.300 --> 00:04:10.469 Sethuraman Panchanathan: Webinar, as you can imagine, because Ai, as you all know very well already is a very important hot topic right now, and this is something that I take a lot of pride in talking about. Nsf. Which has made what is possible today. 20 00:04:10.480 --> 00:04:23.919 Sethuraman Panchanathan: We have investments have been consistent over the last several decades, and what you hear and see about Ai today is because of the investments that Nsf has made over the last several decades. 21 00:04:23.930 --> 00:04:31.289 Sethuraman Panchanathan: I mean, if you look at Nsfs investments in computing eighty percent of the non-defense related research in computing 22 00:04:31.300 --> 00:04:50.140 Sethuraman Panchanathan: and Ai is made by Nsf. And that has made possible significant discoveries, innovations, outcomes, and many of you, i'm sure have been part of that, and we're excited to have you here to again talk to you about the Ai Institute's program when a kid Nsf: one 23 00:04:50.150 --> 00:04:57.389 Sethuraman Panchanathan: uh this, about three years ago. Now you know one of the you know pioneering programs that are being thought about to be launched, 24 00:04:57.400 --> 00:05:07.309 Sethuraman Panchanathan: what the Ai institutes, and I said that Ai Institute should be configured such that it is something that impacts every part of our nation, 25 00:05:07.320 --> 00:05:22.100 Sethuraman Panchanathan: and that makes possibilities to unleash talent and ideas which all of you agree is democratizing is everywhere. How do we unleash that possibility through this vehicle of Ai institutes through public private partnerships, 26 00:05:22.130 --> 00:05:30.789 Sethuraman Panchanathan: and as well as context, that are embedded in each of these locations that the Ai institutes are, so that we might unleash those innovations, 27 00:05:30.800 --> 00:05:46.089 Sethuraman Panchanathan: not only in terms of the Col. Ai activities, but also Ai related to many of the disciplinary innovations and as well as solving problems, grand challenge problems for society and humanity and national security. And of course, the economy. 28 00:05:46.100 --> 00:06:04.789 Sethuraman Panchanathan: Now you look at the first. Ah, seven Ai Institute that launched um, You know I had ah employed folks to make sure that you know we see partnerships while, and Nsf. Is investing close to one hundred million dollars. Ah, you know, to tune of twenty million dollars and institute. You know five of them that Nsf. Had funding, for 29 00:06:04.800 --> 00:06:07.189 I wanted to make sure that it was not limited by that. 30 00:06:07.200 --> 00:06:17.479 Sethuraman Panchanathan: We want to make sure that we are not with other entities to be able to bring resources, and therefore expand the scale of what Ai Institutes can do; and in the first situation we are two of them 31 00:06:17.490 --> 00:06:35.470 Sethuraman Panchanathan: fully funded by the Us. Department I'm. A country in addition to other partnerships we had with the other Ai Institutes, and the seven of them were the first tranche of the Ai Institute, and in the second cycle we were able to bring six additional institutes. In addition to the Five Nsf. Was going to invest in a total of eleven, 32 00:06:35.480 --> 00:06:56.040 Sethuraman Panchanathan: and again, two more of that was Usda funded. In fact, one of them was made possible through an investment that was made by a collection of industry, a consortium of industry, intellectual and Amazon, bringing together that scale of investment of twenty million dollars. So, as you can see through partnerships with the part of transportation. 33 00:06:56.200 --> 00:07:03.789 Sethuraman Panchanathan: You know a Nasa and and I age and Deal, e and and Nist, and no one others 34 00:07:03.800 --> 00:07:09.790 Sethuraman Panchanathan: clear this room for us to do some amazing things as we think about Ai Institutes and what it can do for the future. 35 00:07:09.980 --> 00:07:19.489 Sethuraman Panchanathan: Thanks to all of you and your work, and your interest is why we will be able to ensure success of this program as they continue into the future. 36 00:07:19.500 --> 00:07:21.190 Sethuraman Panchanathan: The third iteration again, 37 00:07:21.200 --> 00:07:39.829 Sethuraman Panchanathan: we had one of the seven institutes to probably now they're keeping count seven plus eleven, plus seven, the twenty-five institutes that i'm, pleased to say spans almost forty states or plus forty prostates, or even more, and then in Washington, Dc. One 38 00:07:39.840 --> 00:08:00.619 Sethuraman Panchanathan: and poured on others. So i'm so excited by the fact that the reach of this clearly meets the original mission and goals of what we want to accomplish is that it touches many parts of our great nation, and unleashes possibilities everywhere, but also takes advantage of the context of the Ai expertise that resides all across our nation. 39 00:08:00.630 --> 00:08:30.179 Sethuraman Panchanathan: Now we are here launching the next iteration, and again, the partnerships are tremendous. When you look at the new solicitation that you're building for my initial network of Ai Institutes, we are focused on three exciting new areas where Ai will be a powerful tool for progress. One of them is with assignments foundation, where we can bring the Ai in its approach to analyzing the immense volume of high quality astronomical data coming from major astronomical, 40 00:08:30.190 --> 00:08:37.329 Sethuraman Panchanathan: you know. Not too long ago I was there in Hawaii, in Maui, launching the deepest that a sword telescope. 41 00:08:37.340 --> 00:08:58.289 Sethuraman Panchanathan: And when you look at these telescopes and look at the amount of data that comes in, there is so much possibilities there to be able to use Ai tools and techniques to be able to achieve the kinds of discoveries that is made possible because of the fact that you're able to bring in these advanced tools to analyzing the big data 42 00:08:58.480 --> 00:09:11.280 Sethuraman Panchanathan: that comes from these telescopes, whether it's in Chile or Hawaii, and and other other locations. So even achievements like the image of the Black Hole just a few years ago, or the recent Nano Grab announcement. 43 00:09:11.290 --> 00:09:27.060 Sethuraman Panchanathan: You know that that that we that we sort of brought out a few weeks ago to check gravitational waves. This is a great time to be an astronomer, and the new Ai tools are going to power, exciting new discoveries. Now, likewise, we are partnering with intel corporation 44 00:09:27.210 --> 00:09:41.689 Sethuraman Panchanathan: to personal new discoveries in materials, research powered by Ai. This is a very exciting area of research and new materials with special properties, are going to be the building blocks of amazing new products and technological capabilities. 45 00:09:42.010 --> 00:10:04.050 Sethuraman Panchanathan: We are also proud to partner with capital one for the very first time to tackle what are shooting Today's most pressing research issues for the future of Ai. How to improve the fundamental design and understanding of rapidly advancing Ai models, so that we can guide and prioritize development of Ai capabilities that reflect the true understanding of the world, 46 00:10:04.220 --> 00:10:10.810 Sethuraman Panchanathan: respond to human instruction and remain aligned with human and societal values. The 47 00:10:10.950 --> 00:10:16.610 Sethuraman Panchanathan: in July I participate in a briefing for senators on the state of Ai innovation. 48 00:10:16.700 --> 00:10:22.090 Sethuraman Panchanathan: We have a fantastic bipartisan engagement from from Congress on this issue. 49 00:10:22.100 --> 00:10:26.279 Sethuraman Panchanathan: As I said in the beginning, this is a critical time for Ai research. 50 00:10:26.600 --> 00:10:36.309 Sethuraman Panchanathan: This has always been an important area of research innovation. We all know that you're all part of it. You're all making possible amazing things, and you're going to make possible even greater things. 51 00:10:36.540 --> 00:10:48.840 Sethuraman Panchanathan: So now we are seeing new attention from the public and from lawmakers who want to know more about what Ai needs for how we work for our economy and for our national competitiveness. 52 00:10:48.930 --> 00:11:04.870 Sethuraman Panchanathan: So that is why this national imperative to advance Ai is such a development, and the Ai Institutes are a vital part of how we fulfill that mission and carry out Nss promise to advance science and technology for the benefit of society. 53 00:11:05.360 --> 00:11:24.559 Sethuraman Panchanathan: So I will tell you categorically that these institutes build on a rich foundation of us leadership in Ai research innovation. They are showing how important it is to build large collaborative communities to advance Ai on how important convergent research is to solving major challenges. 54 00:11:24.570 --> 00:11:36.680 Sethuraman Panchanathan: So all these institutes, we know, are essential to how we prepare students at the end of the day. It's about talent and ideally, and we at full force and full scale all across our nation. 55 00:11:36.710 --> 00:11:44.089 Sethuraman Panchanathan: How do we educate your future workforce and strengthen our nation's capacity for ai powered productivity. The 56 00:11:44.100 --> 00:11:48.709 Sethuraman Panchanathan: so i'm very excited to be here with all of you. I want to thank the colleagues 57 00:11:48.860 --> 00:11:49.990 Sethuraman Panchanathan: from any cell 58 00:11:50.000 --> 00:12:07.549 Sethuraman Panchanathan: the amazing book that is being done by Jim Donnelly, Michael Littman, Andreas, Berlin, Hector Munoz, Avalia, and Saddam Hussein, who's working really hard to make sure that they are providing you those opportunities that surely is going to transform 59 00:12:07.570 --> 00:12:09.540 Sethuraman Panchanathan: the discipline of Ai 60 00:12:09.900 --> 00:12:13.560 Sethuraman Panchanathan: and the impact of Ai in every aspect. 61 00:12:13.650 --> 00:12:24.100 Sethuraman Panchanathan: Our daily lives. So thank you for joining us. Thank you for the fact that you are part of this potential for transformational progress in Ai research. 62 00:12:24.110 --> 00:12:39.230 Sethuraman Panchanathan: The Ai Institutes are the bedrock of a prosperous future, enabled by Ai capabilities that you are envisioning, designing, developing, and implementing. And we cannot wait to see the creative partnerships you build to make all that possible. 63 00:12:40.190 --> 00:12:53.260 Sethuraman Panchanathan: Michael and Um and Andreas, Hector Sedar and Jim thank you for the opportunity for being with all of you today, and I let you do the real work and and get out of the way. So thank you all, 64 00:12:53.270 --> 00:13:00.770 Jim Donlon | NSF: Dr. Punch, and often thank you for your encouragement and your leadership. We really appreciate the environment that makes us possible. Thanks so much for joining us. 65 00:13:01.080 --> 00:13:31.019 Jim Donlon | NSF: So to start the webinar I'd like to introduce. Now Dr. Michael Litman, who's the division director for the division of Intelligent and information systems in slice. That's the Home Division for the program. Um, and he's going to convey some observations on Ai strategy, and where the program fits in Michael is going to be representing not only this the home division for the program, but also representing Dr. Margaret Martin Nosey. She's our Nsf. Assistant director, Precise. Unfortunately, Margaret was called away just the last few minutes, and Michael 66 00:13:31.030 --> 00:13:40.049 Jim Donlon | NSF: gladly agreed to step in and present some remarks on Margaret's behalf. So with that i'm gonna pass it off to Michael, sir. 67 00:13:40.290 --> 00:13:51.790 Michael Littman: Yeah, thanks so much, Jim. So just to be clear. The remarks were prepared for uh, Margaret, and and by Margaret, i'm going to be trying to fill in at the last moment. But I will add a little bit of my own kind of 68 00:13:51.800 --> 00:14:10.350 Michael Littman: angle on some of this as well, so I am really happy to join and welcome you, not only representing the A. D. For the program's Home Director and the Assistant Director, but on behalf of all the other assistant directors of all the different directorates in Nsf, each of which is a partner in this nsf-wide initiative. 69 00:14:10.460 --> 00:14:17.729 Michael Littman: So, as a quick aside I personally am delighted to be part of this process as a lifelong Ai researcher at a year-long Nsf: 70 00:14:17.810 --> 00:14:27.629 Michael Littman: This solicitation is actually the first i've gotten to be a part of at Nsf. And I'm. Very excited by the themes and by the opportunities, and to see what everyone's going to do with it. 71 00:14:28.160 --> 00:14:29.290 Michael Littman: All right. 72 00:14:29.300 --> 00:14:50.719 Michael Littman: So as Dr. Punch Nathan emphasized, this program is a joint effort between the National Science Foundation partners in the interagency and the research community to establish Ai institutes that serve as national nexus points for collaborative ai efforts, spanning institutions of higher education, federal agencies, industry and nonprofits and foundations. 73 00:14:50.790 --> 00:15:02.140 Michael Littman: The program and the institutes funded by it, aligned in some significant way with each of the objectives in the National Ai R. And D Strategic plan that originally inspired the Ai Institutes 74 00:15:04.090 --> 00:15:14.979 Michael Littman: i'll re-emphasize that we're immensely proud of the twenty five institutes funded to date in this program over the previous three rounds, and continuing with this new funding opportunity, 75 00:15:14.990 --> 00:15:27.940 Michael Littman: each institute is a multidisciplinary multi-stakeholder team focused on advancing our understanding of Ai and developing the future Ai workforce. While addressing some of society's grand challenges. 76 00:15:29.540 --> 00:15:37.229 Michael Littman: In this new solicitation, you will see that there are that the funding opportunities span new institutes to be created over the coming two years 77 00:15:37.880 --> 00:15:55.669 Michael Littman: First and Nsf. Is partnering with the Simon's foundation with a goal to fund two institutes in two thousand and twenty four that advance ai and the astronomical sciences together to unlock new discoveries from the high volume of high-quality and multi-spectral data that is coming from major astronomical facilities. 78 00:15:56.280 --> 00:16:06.079 Michael Littman: Second Intel Corporation has joined and nsf to fund an institute in two thousand and twenty five focused on Ai advances and discovery in materials research. 79 00:16:06.090 --> 00:16:20.470 Michael Littman: Today's materials, research opportunities can push our quest for the advancement of Ai knowledge and methods for scientific discovery, while Ai has great potential to help us discover the building blocks for beneficial new products and technological capabilities, 80 00:16:20.870 --> 00:16:37.520 Michael Littman: and in strengthening Ai, we're pleased to partner with capital one and potentially with one or more federal agencies to fund two, or maybe even more institutes in two thousand and twenty five to tackle. What will certainly be a continuing and long-range project in Ai research. 81 00:16:37.530 --> 00:16:50.010 Michael Littman: And that is, how do we improve the fundamental design and understanding of rapidly advancing Ai models, so that we guide and prioritize development of Ai capabilities in the most desirable directions. 82 00:16:50.030 --> 00:16:58.989 Michael Littman: So this is going to require ai that is grounded in a true understanding of the world, meaning that it understands the concepts that it reasons over 83 00:16:59.000 --> 00:17:14.410 Michael Littman: it's instructible in that it responds appropriately to human feedback or instruction, and that we can ensure we'll operate consistently with human values and societal expectations, or what is referred to in the ai community as the alignment imperative. 84 00:17:14.800 --> 00:17:22.640 Michael Littman: This theme is explicitly aligned with the ever-present imperative that we attain high levels of trust in the technologies that we develop 85 00:17:22.740 --> 00:17:29.090 Michael Littman: the theme aspires to trust via these principles of grounding instructibility and alignment with our values. 86 00:17:29.270 --> 00:17:42.849 Michael Littman: Such strong and robust Ai can be better made to implement more effective and trustworthy assistance to humans. For example, in instruction, tutoring and training, or in explaining their understanding or recommendations as quoted from the solicitation. 87 00:17:43.430 --> 00:17:48.119 You'll hear all about these themes in greater detail from the program contacts. 88 00:17:48.550 --> 00:17:53.210 Michael Littman: So i'll hand the microphone back to the program team. But I would like to leave you with this, thought. 89 00:17:53.470 --> 00:18:09.019 Michael Littman: I'm really proud of how our Ai Institutes and other federally. Funded research projects lead in laying the groundwork for a government priority in trustworthy and beneficial Ai. So we hope to continue to see the effects continue to grow as the program expands. 90 00:18:09.100 --> 00:18:18.959 Michael Littman: Thank you to the whole program team contacts and thank you to our partners for your work towards this ideal. And of course, thank all of you for joining us today. 91 00:18:20.140 --> 00:18:39.509 Jim Donlon | NSF: Thank you, Michael, for your leadership as well. Making this a program possible in Iis. This Webinar is intended to familiarize participants with the new solicitation in the program, and to help you prepare to submit proposals that are consistent with the goals of the program. We'll continue with the overview and structure of the program as in the sequence. You see here. 92 00:18:39.640 --> 00:18:56.739 Jim Donlon | NSF: Um, one of the things I want to. Um. I want to emphasize here is that you should be referencing both the solicitation and the program. I'm sorry the Nsf. Proposal and award policies and procedures can either the Phdpg as you consider submitting to the program. 93 00:18:56.750 --> 00:19:07.939 Jim Donlon | NSF: Once we get through all this material, then the remaining time is going to be spent in Q. And A. As we cover it up front. So as we as we begin here, let's just take another look at the program at a glance. It's important 94 00:19:07.950 --> 00:19:27.870 Jim Donlon | NSF: to emphasize, and as you heard in the welcome that the program seeks to deliver on a national strategy to make sustained investments in Ai research in areas with the potential for long term payoff and national competitiveness and Ai. The emphasis on convergence foundational and use inspired. Research is clear. Each Institute has a clear role. 95 00:19:27.930 --> 00:19:34.730 Jim Donlon | NSF: I'm sorry has a critical goal, the significant advancement in the methods and understanding and foundational Ai. 96 00:19:34.740 --> 00:19:53.499 Jim Donlon | NSF: The concept of the ai institutes is that these Ai advances are sought in a use-inspired context, that is, with an emphasis on convergent research focused on important application areas, on scientific discovery and societal challenges which leads not only to foundational advances, but also ai-powered innovation for those centers. 97 00:19:53.790 --> 00:20:02.190 Jim Donlon | NSF: Ai institutes also leverage their scale and leadership position to nurture and grow the next generation of talent for our Ai power Future 98 00:20:02.960 --> 00:20:14.320 Jim Donlon | NSF: and Ai Institutes can be seen to lead in their chosen areas of Ai research and innovation, as they establish themselves in what we call nexus points for continuous growth in their collaborative efforts. 99 00:20:14.950 --> 00:20:23.730 Jim Donlon | NSF: We're now in our fourth issuance of the solicitations in this program, and this is for the next two rounds of awards to be made in two thousand and twenty, four and two thousand and twenty five 100 00:20:23.800 --> 00:20:33.260 Jim Donlon | NSF: in all. Previous rounds in the program we've been intentional in maintaining a consistent definition of what it is to be an Ai institute, and the solicitation continues that, 101 00:20:33.270 --> 00:20:43.990 Jim Donlon | NSF: however, while the identity of the program remains largely constant things do change over time, and you must be attentive to the solicitation, especially if you previously engaged the program 102 00:20:44.180 --> 00:21:01.789 Jim Donlon | NSF: in the revision notes for the solicitation. We call your attention to several notable changes. There will also be small revisions to solicitation text throughout, so as always, even if you're returning to the program, and have been familiar with previous solicitations. It's vital that you take the time to read the solicitation carefully 103 00:21:01.880 --> 00:21:05.790 this way. You can be most assured to be compliant and responsive you 104 00:21:05.800 --> 00:21:16.430 Jim Donlon | NSF: to highlight the most notable changes. First, as usual, we solicit proposals guided by several theme descriptions, and you've seen there are three, and we're going to expand on those in detail later in the Webinar 105 00:21:16.440 --> 00:21:23.949 Jim Donlon | NSF: second in each theme, and a step is joined by some funding partners, as you saw highlighted, and we'll get into more detail on that later. 106 00:21:23.960 --> 00:21:43.950 Jim Donlon | NSF: Third, we call your attention to some expansion we've added to the way we describe use-inspired research. This is to again attempt to amplify this idea. That use-inspired research is a fundamental mode or means by which we and we achieve our foundational ai and other research interests. 107 00:21:44.050 --> 00:21:58.679 Jim Donlon | NSF: And finally, as I mentioned up front, the solicitation covers the next two rounds, the next two years of anticipated awards. That means there's two different submission, and timelines and review timelines, and I'm going to cover that right now. Kind of at a glance one hundred and fifty 108 00:21:58.960 --> 00:22:16.069 Jim Donlon | NSF: mit ctl, and in the solicitation at the end of the program description. You're going to find a program, timeline reflected, divided into two groups, according to the year in which we're intending to make the awards. This timeline reflects the review, and so the election process as presented in that section of the solicitation, one 109 00:22:16.080 --> 00:22:24.290 Jim Donlon | NSF: in both groups, all themes. There is a requirement to submit preliminary proposals. October the Thirty first for astronomy, January the twelfth for the others. 110 00:22:24.300 --> 00:22:30.680 Jim Donlon | NSF: The intent is to return the results of preliminary proposal. Review for you within a month's time, as you can see here, 111 00:22:30.810 --> 00:22:49.590 Jim Donlon | NSF: full proposal due dates are February sixteenth, for astronomy, May seventeenth, for others Merit Review takes place, and either in either one of these timelines after proposal submission, Of course, during that period the program is likely to continue the practice of inviting some proposing teams for a reverse Site visit prior to final selection of institutes. 112 00:22:49.600 --> 00:23:01.590 Jim Donlon | NSF: Such teams are asked to choose key personnel to meet with the program officials via a video teleconference reflected. Here are the anticipated timelines for scheduling and conduct of these Rsvs. If there are changes to the schedule, two 113 00:23:01.600 --> 00:23:05.689 Jim Donlon | NSF: all the lead. Pis, who have submitted to the program will be notified by email 114 00:23:06.490 --> 00:23:15.939 Jim Donlon | NSF: awards made in astronomy are anticipated. October the first two thousand and twenty four, and the other themes have awards anticipated. To start June the first two thousand and twenty five. 115 00:23:17.550 --> 00:23:28.520 Jim Donlon | NSF: We now turn our attention to the activities that constitute an Ai Research Institute in this program. This is what we think of as the global scope of the program. The vision for the program is broad and ambitious. 116 00:23:28.530 --> 00:23:41.359 Jim Donlon | NSF: It is expected that each Ai Institute will pursue this vision in a unique way. But it's critical that you understand that every Ai Institute is selected for and evaluated on their impact in this full range of activities. 117 00:23:42.650 --> 00:23:56.580 Jim Donlon | NSF: The first function of institutes and critical to all proposals in this program is that Ai research Institutes must advance foundational Ai research. This means adding significant new knowledge and understanding to the Ai Research Central to your Institute's Vision 118 00:23:56.830 --> 00:24:18.039 Jim Donlon | NSF: Institutes might address new foundational Ai research priorities that arise from rapid advances in Ai, and the increasing ubiquity of Ai enabled technology or challenged disciplinary divisions that result from the current state of specialization, or promote the establishment of new science, engineering, and educational communities that better reflect the long term research needs for future Ai. 119 00:24:18.560 --> 00:24:29.739 Jim Donlon | NSF: It's very important to emphasize that the Institute proposals that do not describe a clear plan to achieve ambitious advances in foundational Ai research are not likely to be responsive to the program 120 00:24:30.480 --> 00:24:44.789 Jim Donlon | NSF: to understand the foundational Ai research that is in the scope of this program. We summarize here the definition of Ai that's provided in the solicitation. This definition helps to scope what the program is looking for. In seeking to quote significantly advanced research in Ai. 121 00:24:45.680 --> 00:25:04.239 Jim Donlon | NSF: In a broad sense, Ai is concerned with understanding the mechanisms underlying thought and intelligent behavior and their implementation of machines. What we often refer to as Core Ai research at Nsf. Are methods pertaining to the learning, abstraction, and inference considered essential for the implementation of intelligent behavior and machines. 122 00:25:04.370 --> 00:25:15.719 Jim Donlon | NSF: Corey Ah, Research also includes the study of architectures intended to directly manifest that behavior, including general architectures for intelligence, integrated intelligent agents, and multi-agent systems. 123 00:25:17.150 --> 00:25:24.220 Jim Donlon | NSF: The modeling and implementation of intelligent behavior and machines, began as and has continued to be a multidisciplinary endeavor. 124 00:25:24.430 --> 00:25:33.869 Jim Donlon | NSF: Many computational models of intelligence have drawn inspiration from living systems, drawing from biologically inspired computational neuroscience and behavioral and cognitive science 125 00:25:34.220 --> 00:25:44.130 Jim Donlon | NSF: computer vision and human language. Technologies have a high overlap with artificial intelligence, and as much as they provide methods for the perceptual and communications, capabilities critical to intelligent systems. 126 00:25:45.020 --> 00:25:53.400 Jim Donlon | NSF: Robotics is closely related to, but not identical to Ai. Robotics can provide the environment critical for intelligence systems to be able to act upon the world 127 00:25:53.410 --> 00:26:09.330 Jim Donlon | NSF: while an embodied Ai may be a robot. The solicitation focuses on the Ai aspect of that research. For example, the solicitation does not include in its scope development that is mainly focused on tele-operated robots or robots that repeat programmed instructions in controlled environments 128 00:26:11.330 --> 00:26:19.519 Jim Donlon | NSF: moving on in this list of six to zero. The second is that Ai research institutes will continue, or will conduct use-inspired research 129 00:26:19.530 --> 00:26:32.110 Jim Donlon | NSF: in the Ai Institute's program this means that a use-inspired context. Both informs the foundational ai research that we just discussed and drives innovations in related sectors through focus on use cases or applications. 130 00:26:32.490 --> 00:26:41.689 Jim Donlon | NSF: The solicitation emphasizes that this should be conveyed in terms of clear and compelling bottles can enhance knowledge, transfer, and create the potential for shared community infrastructure. 131 00:26:41.700 --> 00:26:57.989 Jim Donlon | NSF: It is important to understand that Use-inspired research is a means of achieving the first goal of foundational Ai, further expanding the context and value of the Institute's vision and the foundational Ai goals are a means for achieving transformative advances in the use inspired sector. 132 00:26:58.000 --> 00:27:06.510 Jim Donlon | NSF: A compelling use inspired context should balance the application of Ai with the advancement of foundational Ai in a way that is appropriate to your institute's vision, 133 00:27:08.130 --> 00:27:26.939 Jim Donlon | NSF: use-inspired research refers to basic research that has use for society in mind. The conceptual depiction on the right shows the broad potential for a range of use Inspired invertibles, if you will, to inform and benefit from a wide range of potential foundational ai priorities. 134 00:27:27.130 --> 00:27:40.870 Jim Donlon | NSF: Institutes established in the program to date have found many unique intersections in this conceptual space. As before. We've taken inspiration from partners and the larger community to invite you. The proposing community to come at this from different directions 135 00:27:40.880 --> 00:27:49.280 Jim Donlon | NSF: in the astronomy and materials themes. In the solicitation we'll soon see that their intended domains of scientific discovery are largely defined in the scope of the theme. 136 00:27:49.370 --> 00:27:54.439 Jim Donlon | NSF: Yet consider, there might be room for more institute specific visioning within those pursuits 137 00:27:54.580 --> 00:28:02.919 Jim Donlon | NSF: in strengthening Ai, where the theme scope is strict only in terms of Ai goals. You'll see that the potential for use inspire and inspiration and impact is limitless. 138 00:28:06.480 --> 00:28:13.740 Jim Donlon | NSF: The goal in this program is that each institute conducts foundational research within uses by our context in a deeply integrated way. 139 00:28:13.790 --> 00:28:19.690 Jim Donlon | NSF: So ideally the results from use. Inspired application areas are generalized and even made foundational. 140 00:28:19.700 --> 00:28:36.959 Jim Donlon | NSF: Um! But before we leave this ah, this notion of foundational Ai, and you suspended, I want to address a question we're sometimes asked about how to select an appropriate balance in an institute set of goals between foundational Ai and other domains. 141 00:28:36.970 --> 00:28:45.750 Jim Donlon | NSF: We want to warn against inappropriately putting these concepts in opposition to one another, and instead recall the virtuous cycle we aspire to. 142 00:28:45.760 --> 00:28:50.789 Jim Donlon | NSF: Not likely competitive, for the program is a proposal in which Ai is merely applied to the domain, 143 00:28:50.800 --> 00:28:55.780 Jim Donlon | NSF: or even in which Ai goals are foundationally yet seem not well integrated with the domain. 144 00:28:56.080 --> 00:29:13.020 Jim Donlon | NSF: In the introduction to the solicitation we identified the preferred convergent approach as being at the very heart of the program's identity. Use-inspired research is, quote an expected modality of or means by which we wish to see you propose the foundational Ai advances one. 145 00:29:14.290 --> 00:29:17.700 Jim Donlon | NSF: The program description expands on the program. Requirement 146 00:29:17.950 --> 00:29:21.380 Jim Donlon | NSF: defining the virtuous cycle in a non-superficial way 147 00:29:21.420 --> 00:29:31.959 Jim Donlon | NSF: the use-inspired context reveals the opportunities for foundational Ai advances, and those quote foundational Ai advances in term contribute to the domain. 148 00:29:32.740 --> 00:29:38.180 Jim Donlon | NSF: Finally, keep in mind that Nsf. And reviewers will evaluate proposals and later institutes. 149 00:29:38.200 --> 00:29:46.200 Jim Donlon | NSF: How well the activity leverages, this use inspired context consistent with your program, with your Institute vision in the program vision 150 00:29:48.890 --> 00:29:55.169 Jim Donlon | NSF: moving on further with these sixties that are out, and the third is to grow the next generation of talent. 151 00:29:55.250 --> 00:30:06.649 Jim Donlon | NSF: Ai Researcher. A research institutes are expected to maximize their unique position to grow the next generation of talent for a diverse, well-trained workforce that will provide new discoveries and leadership. 152 00:30:07.100 --> 00:30:29.449 Jim Donlon | NSF: Specifically, these institutes should leverage the visionary nature of their research book guide to drive new and innovative education and development tailored toward the nation's, undergraduates, graduate students and post-doctoral researchers as well as through community colleges and skilled technical workforce, training, and other opportunities that advance knowledge and education of Ai, including public understanding of Ai. 153 00:30:29.970 --> 00:30:42.569 Jim Donlon | NSF: This could include an innovative pedagogy in structural materials, advanced learning technologies, project-driven training, cross-disciplinary and collaborative research industry partnerships new career pathways, 154 00:30:42.630 --> 00:30:59.770 Jim Donlon | NSF: institutes should offer broad, deep and diverse experiences to build the next generation of the Ai workforce, with a focus on broadening participation among groups that are starkly underrepresented in science and engineering, including women and people with disabilities and people from other minority minorities. Groups, 155 00:31:00.560 --> 00:31:12.770 Jim Donlon | NSF: institutes must propose meaningful plans for these activities, and the solicitation describes required sections on education and workforce development, and the broadly participation plan that focus on education and workforce development. 156 00:31:12.790 --> 00:31:25.270 Jim Donlon | NSF: The caution proposals, however, are again seeing these as separate from the other proposed activities. Rather education, training, and inclusion plans should be well integrated with the other research and coordination activities described in the proposal 157 00:31:25.460 --> 00:31:28.640 Jim Donlon | NSF: forming a hole that is greater than the sum of its parts. 158 00:31:29.950 --> 00:31:35.549 Jim Donlon | NSF: Fourth desitteratom. We shorthand here as institutes should be multi-disciplinary 159 00:31:35.560 --> 00:31:47.290 Jim Donlon | NSF: ai research institutes are coherent, multidisciplinary groups of scientists engineers and educators appropriate for a large-scale long-term research agenda for the advancement of Ai and the field ended. Ai. 160 00:31:47.940 --> 00:31:56.530 Jim Donlon | NSF: The multi-disciplinary nature of these institutes will catalyze foresight and adaptability beyond what is possible in the single research projects 161 00:31:56.900 --> 00:32:13.430 Jim Donlon | NSF: this objective echoes of program's observation that Ai itself has traditionally been highly multidisciplinary, and that use inspired research requires synergy among a group of researchers enabling transformative advances in Ai related sectors and the interfaces between those areas. 162 00:32:13.880 --> 00:32:21.769 Jim Donlon | NSF: In reviewing institute proposals, reviewers and panels look for signs that the individual projects of an institute will be meaningfully integrated, 163 00:32:22.000 --> 00:32:31.450 Jim Donlon | NSF: resulting in contributions beyond the some of the individual projects. Significant integration of multidisciplinary research can be a significant basis of confidence in this regard. 164 00:32:33.790 --> 00:32:40.980 Jim Donlon | NSF: Ai. Research institutes are expected to be comprised of multiple organizations working together to create new research capabilities. 165 00:32:40.990 --> 00:32:53.740 Jim Donlon | NSF: Nsf. And partner organizations seek to grow the network of National Ai Research institutes and lead organizations distributed throughout the country to grow new centers of Ai leadership. Leveraging existing centers of excellence as appropriate 166 00:32:54.020 --> 00:33:01.190 Jim Donlon | NSF: institutes are strongly encouraged to include organizations that can directly contribute to Nsf's commitment to broadening participation 167 00:33:01.200 --> 00:33:14.050 Jim Donlon | NSF: by engaging a diverse globally engaged research community integrating research with education and building capacity and expanding efforts to broaden participation from underrepresented groups in diverse institutions across all geographic regions. 168 00:33:14.570 --> 00:33:25.399 Jim Donlon | NSF: We going to draw your attention to the importance of demonstrating that your proposal be greater than the sum of its parts here, by meaningfully leveraging and integrating diverse organizations. 169 00:33:26.080 --> 00:33:33.939 Jim Donlon | NSF: In addition to a lead pi suitable to lead an institute, and each institute must also be staffed with a managing director or a project manager. 170 00:33:34.220 --> 00:33:50.630 Jim Donlon | NSF: And finally, it's important to emphasize, while an external advisory board will be required for an institute. Please do not contact, invite, or identifying your proposal, any potential eab members. The step should be taken after the merit, review, and selection process for the sake of coi management. 171 00:33:52.100 --> 00:33:58.240 Jim Donlon | NSF: Sixth and final one is that all Ai institutes are expected to be nexus points for collaborative efforts. 172 00:33:58.250 --> 00:34:10.069 Jim Donlon | NSF: By nexus point we refer to the role that an institute can play in creating an organization that encourages the continuing growth of collaborations, especially with external partners that can further enhance the impact of the Institute. 173 00:34:10.409 --> 00:34:21.880 Jim Donlon | NSF: The nexus point function of the program is not a mere state of being. In other words. When you have assembled your multi-organizational Ai institute you, don't point to it and say, look at our nexus point, one 174 00:34:21.889 --> 00:34:28.820 Jim Donlon | NSF: being an access point is an active set of priorities, programs, mechanisms that are aware of an Ai research institute. 175 00:34:28.830 --> 00:34:48.220 Jim Donlon | NSF: Several things establishes itself as a thought leader and research leader in their chosen area and pursues the continuing growth of collaborations with external partners to bring together people ideas, problems, and technical approaches for maximum and and and extended impact beyond the members and the boundaries of the Institute itself. 176 00:34:48.929 --> 00:35:00.500 Jim Donlon | NSF: Consider even a proposal. Time, what kinds of priorities, programs, and mechanisms your Institute could use to connect with new partners and create organizational collaborations and linkages with a range of organizations. 177 00:35:03.190 --> 00:35:14.310 Jim Donlon | NSF: Having emphasized the essential nature of all Ai institutes, we are now ready to turn our attention to the three specific themes or high priority areas in which proposals are solicited. For the next two rounds of awards 178 00:35:14.320 --> 00:35:26.799 Jim Donlon | NSF: there are themes representing a subset of research areas that an Asf and partner support, and which were determined to be both an immediate priority for funding partners, and for which the resource community was judged to be ready to be responsive this year, 179 00:35:26.830 --> 00:35:31.470 Jim Donlon | NSF: and a seps estimating approximately five rewards, as shown here. 180 00:35:32.230 --> 00:35:46.390 Jim Donlon | NSF: And so we'll let the theme leads. Say more about this. Ah, but before I invite the theme leads to expand on these, let me just address a question that comes up about submitting a proposal that might respond to multiple themes, one hundred and fifty. 181 00:35:46.400 --> 00:35:50.910 Jim Donlon | NSF: Our answer here is, while it's possible, of course, to scope your proposal this way. 182 00:35:50.920 --> 00:36:03.129 Jim Donlon | NSF: Your proposal must be submitted to one theme as the primary one you're submitting to. So such overlaps may not hurt your responsiveness. If you've done nothing to compromise or focus on that primary theme you submitted to. 183 00:36:03.610 --> 00:36:18.709 Jim Donlon | NSF: However, consider each theme to be an independent funding pool. As you think about the relevance to multiple thieves. Viewed that way. You can see that it's not necessarily the case. That special effort to make the proposal relate to the goals of another theme will make it more likely to succeed overall. 184 00:36:18.720 --> 00:36:36.030 Jim Donlon | NSF: It's most effective to respond as fully as possible to the scope of the theme you address. Relevance to other themes might be identified in the proposal text for Keywords section of the project. Summary, if you like, and where such level relevance is particularly strong and assessment partners may co-review such proposals in those secondary themes 185 00:36:36.710 --> 00:36:53.689 Jim Donlon | NSF: as always. It's a good idea to consult with the respective program contacts for each theme to get advice about your specific situation. So with that bit of preamble out of the way i'd like to present. Ah, turn the presentation over to my colleagues. I want to start with Andreas Berlin from the division of astronomy who is going to describe the one 186 00:36:53.700 --> 00:36:54.759 Jim Donlon | NSF: press. 187 00:36:55.070 --> 00:36:56.489 Andreas Berlind (NSF/AST): Thank you, Jim. 188 00:36:56.500 --> 00:37:13.020 Andreas Berlind (NSF/AST): Hi, Everyone uh I'm Andreas Berlin. I'm. A program director in the Astronomy Division here at the Nsf. Ah, and I'm. Leading the astronomy theme of the solicitation. This is the first time that that our division has participated in this program, and and we're very excited to be part of it. 189 00:37:13.300 --> 00:37:21.009 Andreas Berlind (NSF/AST): So as as a Dr. Punch said earlier, astronomy is a research field that is extraordinarily data rich. 190 00:37:21.020 --> 00:37:34.039 Andreas Berlind (NSF/AST): Our data is coming in rapidly from lots of telescopes around the world, and future experiments will accelerate this dramatically. The data cover a wide range of wavelengths of light will come at high temporal cadence. 191 00:37:34.360 --> 00:37:40.799 Andreas Berlind (NSF/AST): Addition, theoretical models that are attempting to simulate the data are themselves producing massive volumes of data. 192 00:37:41.840 --> 00:37:51.179 Andreas Berlind (NSF/AST): Ai technology is rapidly entering our research field, and more and more will be essential for mining, analyzing, and extracting knowledge from these data. 193 00:37:51.360 --> 00:37:58.259 Andreas Berlind (NSF/AST): But solving the biggest challenges will require advances in foundational ai that are inspired by them. The 194 00:37:58.430 --> 00:38:05.480 Andreas Berlind (NSF/AST): this is a challenge in our field, because there isn't enough interdisciplinary collaboration between astronomers and Ai researchers 195 00:38:05.490 --> 00:38:08.629 Andreas Berlind (NSF/AST): in this, in the realm of education, 196 00:38:08.640 --> 00:38:14.899 Andreas Berlind (NSF/AST): Ai. Education within our astronomy community is not done uniformly, and is not always informed, vested in the art. 197 00:38:15.150 --> 00:38:23.270 Andreas Berlind (NSF/AST): So to address these challenges. The Nsf. In partnership with the Simon's foundation. Aim to fund up to two Institutes, 198 00:38:23.280 --> 00:38:35.830 Andreas Berlind (NSF/AST): and our hope is that these institutes will tackle important and research challenges in astronomy through multidisciplinary disciplinary collaboration, and will serve as hubs of knowledge and education and ai for the broader community 199 00:38:36.320 --> 00:38:37.950 Andreas Berlind (NSF/AST): next slide, please. 200 00:38:39.550 --> 00:38:58.689 Andreas Berlind (NSF/AST): So. Ah, i'd like to just go over. Ah sort of our themes version of the desirado that the gym I went over earlier. Ah! Competitive proposals to this theme will identify important challenges in astronomy research that that will be addressed by the proposed institute. One, 201 00:38:58.700 --> 00:39:07.759 Andreas Berlind (NSF/AST): as I'll say again, later, the solicitation is broad, so many areas are possible. 202 00:39:07.770 --> 00:39:12.450 Andreas Berlind (NSF/AST): But the research plan should be appropriately ambitious. Given the skill of these grants, 203 00:39:13.260 --> 00:39:26.869 Andreas Berlind (NSF/AST): Equally important is the proposals should should describe the advances in the Foundational Ai that will be needed to tackle these challenges, and the Foundational Ai and astronomy. Research should be well integrated with each other 204 00:39:27.510 --> 00:39:37.279 Andreas Berlind (NSF/AST): in this vein. Proposals that describe application of off-the-shelf Ai models to astronomy problems are not likely to be responsive to the solicitation 205 00:39:38.610 --> 00:39:57.170 Andreas Berlind (NSF/AST): competitive proposals will also present a plan for the proposed Institute to serve as a hub of Ai knowledge and education for the broader astronomical community. We would really like to see these two institutes that emerge from this competition have a broad impact and elevate the level of Ai research with an astronomy, 206 00:39:57.290 --> 00:40:07.509 Andreas Berlind (NSF/AST): and we encourage proposals to include activity that reaches researchers and institutions that do not have easy access to cutting edge data on methods. 207 00:40:08.270 --> 00:40:18.289 Andreas Berlind (NSF/AST): And finally, proposals should clearly describe the organization and management structure of the Institute, including the roles of different organizations and team members, 208 00:40:18.300 --> 00:40:28.710 Andreas Berlind (NSF/AST): and the proposed collaborations that come forth should be motivated by the science and Education goals of the Institute, and should add up to more than the sum of their parts, as as Jim mentioned before. 209 00:40:31.870 --> 00:40:33.429 Andreas Berlind (NSF/AST): So um 210 00:40:33.910 --> 00:40:39.720 Andreas Berlind (NSF/AST): i'd like to just go over Briefly, a few commonly asked questions that we've encountered so far, 211 00:40:39.740 --> 00:40:44.710 Andreas Berlind (NSF/AST): So the most common question we've gotten is, what areas of astronomy are eligible? 212 00:40:45.320 --> 00:41:04.989 Andreas Berlind (NSF/AST): And The answer is, it's very broad. All areas of astronomy that that we support in our division are are eligible, and and that really covers the whole range from planetary solar, stellar, Galactic Extra Galactic Cosmology, interdisciplinary areas like multi messenger astronomy and theory. 213 00:41:05.000 --> 00:41:14.550 Andreas Berlind (NSF/AST): So this is the station is on purpose intended to be broad and we want to see the best ideas from all parts of the field. 214 00:41:15.400 --> 00:41:19.199 Andreas Berlind (NSF/AST): What about research that touches on neighboring fields like physics? 215 00:41:19.270 --> 00:41:27.639 Andreas Berlind (NSF/AST): Um, research, activity and other fields. Is Okay, as long as the main focus is on on uh on astronomy. 216 00:41:28.500 --> 00:41:31.069 Andreas Berlind (NSF/AST): What about space-based astronomy 217 00:41:31.080 --> 00:41:32.390 Andreas Berlind (NSF/AST): Because this is something that 218 00:41:32.400 --> 00:41:39.890 Andreas Berlind (NSF/AST): the Nsf. And past and other solicitations has not supported as much as ground basis 219 00:41:39.900 --> 00:41:42.550 Andreas Berlind (NSF/AST): in this elicitation. This is not restricted 220 00:41:42.740 --> 00:41:48.199 Andreas Berlind (NSF/AST): The proposed ai work can involve space-based as well as ground-based research and data. 221 00:41:48.440 --> 00:41:54.049 Andreas Berlind (NSF/AST): The main thing is that the proposed research is sufficiently ambitious. Given the size and scale of the awards, 222 00:41:55.550 --> 00:42:01.169 Andreas Berlind (NSF/AST): Is it better for a proposal to tackle one astronomy challenge in depth or touch on a broad set of topics. 223 00:42:01.440 --> 00:42:11.909 Andreas Berlind (NSF/AST): The solicitation does not restrict this. What's important is that the research is sufficiently impactful, whatever it is, and is well integrated with foundational Ai work. The 224 00:42:12.210 --> 00:42:19.219 Andreas Berlind (NSF/AST): and finally do. The Nsf. And the Simon's foundation have different priorities that need to be balanced somehow. 225 00:42:19.230 --> 00:42:26.999 Andreas Berlind (NSF/AST): The answer is, no. The theme, again, is intended to be broad. Both funding partners welcome all ideas from the research community. 226 00:42:30.940 --> 00:42:37.650 Andreas Berlind (NSF/AST): So there are a couple of specific things that relate to the partnership with Simons that we should. We should address 227 00:42:37.700 --> 00:42:54.169 Andreas Berlind (NSF/AST): mit ctl and um. So in terms of the budget. Half of the proposed budget, which is up to ten million dollars, needs to be prepared for the Simon's foundation, following instructions from the science foundation, and one 228 00:42:54.180 --> 00:42:59.600 Andreas Berlind (NSF/AST): that part of the budget will be submitted as a supplementary document in the Nsf. Proposal. 229 00:42:59.750 --> 00:43:10.159 Andreas Berlind (NSF/AST): So the budget will be split into with activities clearly delineated as on the on the left side and on the Simon side, in order to prepare the budget. 230 00:43:10.640 --> 00:43:22.429 Andreas Berlind (NSF/AST): Um keep. Keep in mind that the Simon's foundation has a different indirect rate policy than the Nsf. And you need to look at that to adhere to it. 231 00:43:23.290 --> 00:43:29.089 Andreas Berlind (NSF/AST): Um. Another uh Another result of the partnership with Simon is that, 232 00:43:29.370 --> 00:43:38.440 Andreas Berlind (NSF/AST): in addition to the Nsfpi meetings that will happen, the Silence Foundation will organize and found annual Api meetings at the Simon's foundation in New York City. 233 00:43:38.890 --> 00:43:42.900 Andreas Berlind (NSF/AST): Um. And we'll have reporting requirements. 234 00:43:43.660 --> 00:43:47.709 Andreas Berlind (NSF/AST): The review of proposals will be conducted by the Nsf. 235 00:43:48.330 --> 00:43:57.539 Andreas Berlind (NSF/AST): But Simon's foundation personnel may observe panels and participate in the review process, and we expect to make a word decisions together. 236 00:43:58.280 --> 00:44:06.040 Andreas Berlind (NSF/AST): Uh one thing I really want to emphasize is that, uh, despite the fact that the budget will will have these two components; 237 00:44:06.190 --> 00:44:14.529 Andreas Berlind (NSF/AST): that both agencies, both the Msf. And the Simons foundation will evaluate the proposal as a whole, and the budget as a whole. 238 00:44:14.550 --> 00:44:24.290 Andreas Berlind (NSF/AST): The way in which the the budget is split will have bookkeeping and project management implications, but is not intended to affect proposal. Review. 239 00:44:25.120 --> 00:44:26.390 Andreas Berlind (NSF/AST): It's A. 240 00:44:28.270 --> 00:44:31.359 Andreas Berlind (NSF/AST): And finally, 241 00:44:31.530 --> 00:44:42.190 Andreas Berlind (NSF/AST): I want to address the issue of including people who are affiliated with Simon's foundation on the proposal. For example, people who are affiliated with a flattering institute. 242 00:44:42.260 --> 00:45:00.309 Andreas Berlind (NSF/AST): And um first of all, Ah! The participation of these people has some restrictions. First of all, you should check with the silence, foundation, and ensure compliance with their policy on eligibility of Simon's employees for external funding one hundred and fifty. 243 00:45:00.330 --> 00:45:19.960 Andreas Berlind (NSF/AST): But as the solicitation solicitation, states, people affiliate with Simons may not participate in a proposal to this theme in their capacity, as Ah Simon's employees however, if they have an appointment at a non-signments, and indeed, for example, a university. 244 00:45:20.530 --> 00:45:24.459 Andreas Berlind (NSF/AST): They may participate in a proposal in that capacity. 245 00:45:24.510 --> 00:45:25.779 Andreas Berlind (NSF/AST): It's 246 00:45:26.280 --> 00:45:29.879 Andreas Berlind (NSF/AST): in an unfunded basis, meaning they cannot draw a salary. 247 00:45:29.930 --> 00:45:31.240 Andreas Berlind (NSF/AST): Ah, 248 00:45:31.540 --> 00:45:38.989 Andreas Berlind (NSF/AST): you have questions about this, or you know, some specific case, or any of the other 249 00:45:39.000 --> 00:45:50.079 Andreas Berlind (NSF/AST): things I mentioned, I feel free to put a question in the in the Q. And A. I'm. Also happy to meet with you separately to discuss your proposal. Thank you. 250 00:45:55.630 --> 00:46:03.040 Jim Donlon | NSF: Yeah. With that we're going to hand straight over to Senator, who's going to speak for Ai for discovering materials. Research. 251 00:46:03.050 --> 00:46:04.889 Serdar Ogut: Thanks very much, Jim. 252 00:46:04.910 --> 00:46:20.529 Serdar Ogut: Hello, everyone. I'm uh Sara. I'm a program director in the condensed matter and material security program of the division of materials research at Nsf. And one of the contacts along with Sylvia Spangler from size for theme. Two of the soil station, 253 00:46:20.560 --> 00:46:34.920 Serdar Ogut: Um, as Jim already mentioned earlier. This is the fourth round of it. Ni. A research is useful stations, and the first one like astronomy, in which the vision of materials, research will directly participate. 254 00:46:34.930 --> 00:46:56.980 Serdar Ogut: Dmr's participation in this solicitation is based on the recognition that Ai has been playing an increasingly important role in materials research as more and more material scientists, physicists, chemists are realizing the power of Ai technologies to revolutionize materials, discovery and understanding. 255 00:46:56.990 --> 00:47:14.060 Serdar Ogut: This team builds on the umr's, current impactful efforts on the material genome initiative, Mgi and expands the scale and integration of scientific challenges to enable ai-based transformative advances in materials research. 256 00:47:14.130 --> 00:47:35.410 Serdar Ogut: Ah, We We expect that a successful um material of Ai Institute will make breakthrough advances in materials. The story and understanding enable new ai-based capabilities, push the boundaries of foundational Ai. While being responsive to societal challenges and industrial needs, 257 00:47:35.750 --> 00:47:45.809 Serdar Ogut: as mentioned earlier, Intel will be providing partial support for this Institute theme, and i'll be talking about that briefly, in a little while, 258 00:47:45.820 --> 00:47:59.060 Serdar Ogut: overall proposals that advance both foundational Ai and fundamental materials. Research in domains that are supported by Dmr will be most responsive to this theme 259 00:47:59.070 --> 00:48:27.700 Serdar Ogut: I emphasize fundamental materials research to distinguish it from areas that are typically within the engineering domains. In in a sense, if you would, uh for the materials portion of this, if you would normally uh submit this proposal to programs. Uh in the engineering directorate. Um. That may not be. Uh, they may not be the best for this. Uh the next slide, please. 260 00:48:31.790 --> 00:48:57.539 Serdar Ogut: Um. As I mentioned earlier, we envisioned the materials. Ai Institute to expand Themr's ongoing efforts in Mgi. To those who may not be familiar material Genome initiative is a Federal multi-agency, initiative launched in two thousand and eleven for discovering manufacturing and deploying advanced materials twice as fast and at a fraction of the cost compared to a traditional method 261 00:48:57.550 --> 00:49:18.679 Serdar Ogut: uh the Dmrf program, short for uh designing materials to revolutionize and engineer. Our future has been running for the last ten years, as Dmr's primary response to Mgi. I should also mention here, in passing, that Bmr. Is a major partner in the Mrf. But there are other directories and programs at Nasa that participate in it as well 262 00:49:19.280 --> 00:49:38.779 Serdar Ogut: in the two thousand and twenty one mgi strategic plan, harnessing the power of materials. Data has been identified as one of the primary goals. The objectives and the skull are centered on ai-driven materials R. And D. For retur of discovery and manufacturers. 263 00:49:38.790 --> 00:49:50.240 Serdar Ogut: The new materials Ai. Institute that will be funded in this, so station can be viewed as part of the Emr's continued efforts in advancing the Mgi approach and Bishop 264 00:49:50.520 --> 00:49:52.029 Serdar Ogut: next slide, please. 265 00:49:53.770 --> 00:50:06.119 Serdar Ogut: So if you look at the description of the material steam in the Solar station. You'll realize that it is material and application, domain agnostic, and this is by design, 266 00:50:06.130 --> 00:50:34.520 Serdar Ogut: by specifically not focusing on some subset of material problems or resource models or tools. We wanted to solicit ideas from the entire materials research community on what burning materials, research problems, they think would benefit the most from recent advances in foundational Ai, and in turn push the boundaries of Foundational Ai to address challenges and opportunities in materials. Research, 267 00:50:34.530 --> 00:51:04.199 Serdar Ogut: however, we wanted to provide some guidance here actually more towards stimulating thought from research at the intersection of Ai and materials. Hence we provided the list that you so. Ah! That you probably saw in the association of five potential lines of research, and these are globally multi-moral. Ah, data integration and data set development foundational Ai denses driven by materials research 268 00:51:04.510 --> 00:51:13.390 Serdar Ogut: first synthesis to synthesis at scale human augmented materials, design and interpretable materials. Ai: 269 00:51:13.740 --> 00:51:36.410 Serdar Ogut: The proposals that will be responsive to this theme can focus on any area or areas of fundamental materials. Research aligned with the division of materials, research and employ various research models from a practical perspective, even though a particular institute may focus on some subset of material problems or modes of research. 270 00:51:36.420 --> 00:51:49.519 Serdar Ogut: The potential generalizability of this focus choice to other materials, problems and research modes is likely to align it with the Ai ambition to generalize from data 271 00:51:50.360 --> 00:51:51.979 Serdar Ogut: next slide, please. 272 00:51:54.130 --> 00:52:11.460 Serdar Ogut: So here I want to thank again on the industry funding partner intel for joining Nsf. In this important Ai research. Ah, priority, this slide summarizes the the nature of Intel's participation. You can find more details in the source station. 273 00:52:11.470 --> 00:52:28.759 Serdar Ogut: Um. The proposals that are respond to this theme should be careful not to add conflicts of interest with this partner in the ways shown here in particular. Ah! I know that Intel will not participate in world zero panels, or may not review. 274 00:52:28.770 --> 00:52:40.670 Individuals affiliated with Intel are not allowed to participate in proposals to them to in their capacity at Intel, but they may be able to do so in their capacity, and and another organization 275 00:52:40.680 --> 00:52:51.530 Serdar Ogut: proposers should not contact intel about proposals to the scene, or make any prior arrangements for collaborations in the scheme during the proposal, 276 00:52:51.760 --> 00:53:06.160 Serdar Ogut: after the award is processed in town may offer collaboration opportunities to the Funding Institute in the theme, including software datasets, other computing of infrastructure and or researchers in residents. 277 00:53:06.650 --> 00:53:36.640 Serdar Ogut: Ah, it is um ah discussing one of the common questions that we have received so far that pertains to whether the involvement of Intel Ah! As an industry ah funding partner would mean that the proposed research should be um, or have a projection on semiconductor research. As I mentioned earlier, this is not the case at all. Partnership of Intel does not restrict the materials. Research themes of this Ah Institute proposal. As I mentioned 278 00:53:36.650 --> 00:53:52.200 Serdar Ogut: earlier, We're interested in soliciting ideas from the entire materials, community for research that is aimed at advancing materials, discovery, and understanding while advancing the frontiers of foundation of they are. And with that that's the two hectares. 279 00:53:54.050 --> 00:54:01.059 Hector Munoz-Avila | NSF: So good afternoon, everyone. My name is Sector Minosavira. I am a program director in size, and the team lead fourteen three. 280 00:54:01.130 --> 00:54:15.769 Hector Munoz-Avila | NSF: Let's go over the motivation for this theme. Ai assistance. Build with the layer architecture strain in massive, massive datasets, have become increasingly capable of producing useful and impressing outlets 281 00:54:26.360 --> 00:54:28.950 Hector Munoz-Avila | NSF: for them. More decisions can be brutal. 282 00:54:39.470 --> 00:54:54.230 Hector Munoz-Avila | NSF: Mit Ctl and the Isis of the future will need to be a strengthened if they are to be as robust as we would like. And if we are to keep such technology well aligned with societal intended uses nexus 283 00:54:58.760 --> 00:55:02.300 Hector Munoz-Avila | NSF: basic requirements for team. Three 284 00:55:02.320 --> 00:55:16.099 Hector Munoz-Avila | NSF: Institute funded under this theme, mostly not lead advances in theory methods, or iterative approaches that are stranded. Ai. In all three of the goals listed below, Grounding 285 00:55:16.230 --> 00:55:17.790 Hector Munoz-Avila | NSF: instructibility 286 00:55:17.800 --> 00:55:18.899 Hector Munoz-Avila | NSF: in alignment. 287 00:55:26.230 --> 00:55:32.919 Hector Munoz-Avila | NSF: Grounding means that sisters must understand the concepts they reason over and operate with 288 00:55:33.200 --> 00:55:41.079 Hector Munoz-Avila | NSF: rounding allows Ai systems to demonstrate connection between yourself and the after concert, that they operate with 289 00:55:53.550 --> 00:56:07.060 Hector Munoz-Avila | NSF: instructibility enable systems that can be proven experimentally to change their behavior appropriately in response to explicit feedback provided by even non expert users. 290 00:56:14.330 --> 00:56:15.799 Hector Munoz-Avila | NSF: Next a slide, please. 291 00:56:19.320 --> 00:56:34.699 Hector Munoz-Avila | NSF: By alignment we mean that sisters must be judged by how well their operations align with expectations of objective truth in a domain, and correspond to societal expectations and human intentions in their operations. 292 00:56:35.300 --> 00:56:36.879 Hector Munoz-Avila | NSF: Next slide, please 293 00:57:08.010 --> 00:57:09.429 Hector Munoz-Avila | NSF: next slide, please. 294 00:57:23.360 --> 00:57:38.329 Hector Munoz-Avila | NSF: This is like summarize the nature of the partners of participation. More details are in the solicitation in a nutshell Proposal responding to this team should be careful not to have conflict of interest with these partners in the way shown here. One 295 00:57:38.340 --> 00:57:44.980 Hector Munoz-Avila | NSF: seriously situation for full details and contact us with any questions You may have next a slide, please. 296 00:57:50.270 --> 00:58:02.899 Hector Munoz-Avila | NSF: As we mentioned earlier, the office of the Undersecretary of Defense of Research and engineering at least have partnered with Nsf to potentially contribute funding to institutions funded under this award one. 297 00:58:11.120 --> 00:58:15.580 Hector Munoz-Avila | NSF: They are to where you can communicate with Nsf. And partners about this. 298 00:58:15.750 --> 00:58:34.720 Hector Munoz-Avila | NSF: If you wish to identify aspects of the your team. Free proposal that you believe are relevant to one or more partners job. The option to submit a supplementary document, both preliminary and proposal and stages to indicate relevance to your of your proposal to one or more. 299 00:58:34.730 --> 00:58:37.969 Hector Munoz-Avila | NSF: See solicitation for full instruction details. 300 00:58:38.050 --> 00:58:48.889 Hector Munoz-Avila | NSF: If you wish to indicate an objection to receiving funding in a team three proposal that are the units. From one of these two partners you may submit an optional single copy document. 301 00:59:01.800 --> 00:59:17.169 Hector Munoz-Avila | NSF: Finally, We know that here that either type of document, the strive here submitted with a proposal either preliminary or full, pertains only to that proposal. Documents submitted with the preliminary proposal, do not pertain to the full proposal 302 00:59:17.180 --> 00:59:26.329 Hector Munoz-Avila | NSF: that you may change or clarify your position to these issues at the full proposal stage, and with that head back to Gene. Thank you 303 00:59:26.950 --> 00:59:39.299 Jim Donlon | NSF: mit Ctl: and thank you, Hector. Thank you, colleagues. So now that we've finished looking at the individual themes, we're almost ready for Q. And A. We've been typing some answers in the module, so please continue to submit your questions there two hundred and fifty 304 00:59:39.310 --> 01:00:08.710 Jim Donlon | NSF: Um. Where the themes are concerned. Our program context will advise you on questions and responsiveness to the theme. In compliance with the solicitation. If you make contact with them, we can't give you any judgments or advice about the competitiveness of your idea. However, we encourage you to make contact with us prior to submitting your preliminary proposal, especially if you have questions about the response of this and your idea, we prefer that you email your theme-specific questions to all program contacts listed for that theme, so that we can give you a coordinated and complete response 305 01:00:08.830 --> 01:00:14.739 Jim Donlon | NSF: for feedback on the responsiveness of a proposal idea. You should include a project summary of up to two pages 306 01:00:14.870 --> 01:00:42.299 Jim Donlon | NSF: after the preliminary proposal. Deadline. It's more awkward to give you a really targeted advice because we've sent you. We've sent you feedback on the response responsiveness of your preliminary. So those program specific inquiries should be limited to request for clarification of that feedback that you received on the prelim these requests for clarification must be submitted to the theme contacts. And again, please address all the theme. Contacts that are listed in Solicitation 307 01:00:43.080 --> 01:00:56.809 Jim Donlon | NSF: institute awards are going to be in a form of cooperative agreements up to twenty million dollars, for up to five years, with an average yearly budget of around four million dollars do not submit total budgets outside the specified range, and the solicitation 308 01:00:56.820 --> 01:01:11.920 Jim Donlon | NSF: in addition, some specific ah, some special instructions pertain to the way budgets and team one are to be structured, as you heard in the ah alluded to in the Webinar um theme description, and we'll cover that a little bit more later. 309 01:01:12.210 --> 01:01:26.320 Jim Donlon | NSF: Solicitation does require that you plan for travel budgets for your personnel. This will be key to enabling effective multi-organizational synergy. So plan, according to what fits your proposal at a minimum. The solicitation requires that you plan for site visits and for pi meetings. 310 01:01:26.410 --> 01:01:44.590 Jim Donlon | NSF: Please also anticipate that institute operations require a significant investment in administration. The solicitation anticipates this with a requirement that a managing director or a project manager who is distinct from the leap I be provided for. In addition to this role you might wish to plan for supporting administrative roles of various times. 311 01:01:44.600 --> 01:01:50.339 Jim Donlon | NSF: What is appropriate depends on your proposal and the resources available to you at your local institutions. 312 01:01:50.410 --> 01:01:56.210 Jim Donlon | NSF: Be sure to account for these costs in your proposal, and demonstrate how this will facilitate your Institute's effectiveness. 313 01:01:57.190 --> 01:02:10.629 Jim Donlon | NSF: Now let's turn to the proposal steps and we'll start with the first major milestone in the preliminary proposal. Preliminary proposals are required as a condition for submitting a full proposal. The prelim consists mainly of a six-page project description. 314 01:02:11.480 --> 01:02:18.189 Jim Donlon | NSF: The description is intentionally very short, and within it we ask that you focus on the intended scope of the proposed research activities. 315 01:02:18.200 --> 01:02:28.620 Jim Donlon | NSF: Therefore we require these sections. Please read carefully the description of these sections and submission instructions, and what we're looking for. You see them listed here A. Through E. 316 01:02:28.790 --> 01:02:32.209 Jim Donlon | NSF: The section headers are mandatory and must be in that order 317 01:02:32.740 --> 01:02:48.930 Jim Donlon | NSF: the page limit and suggested, Ah! Section lengths are intended to keep the focus of your preliminary proposals on your intended research code and the suitability of the proposal personnel to carry out those activities. This is not the stage where we expect to review detailed plans for research and other activities. 318 01:02:49.140 --> 01:03:02.770 Jim Donlon | NSF: The submission guidelines also list sections not to include this includes The section results from Prior and a self-support and the project. Description as well as standard proposal. Sections, you see, excluded here on the right do not include those in a preliminary proposal. One 319 01:03:03.990 --> 01:03:13.620 Jim Donlon | NSF: again, we emphasize that the preliminary proposal is required, meaning a full proposal will not be accepted, if not following a preliminary proposal reviewed under the solicitation 320 01:03:13.890 --> 01:03:21.380 Jim Donlon | NSF: you will submit it to a theme, and the full proposal will be submitted to this by the same lead organization to the same theme. 321 01:03:21.830 --> 01:03:31.339 Jim Donlon | NSF: Preliminary proposals will be internally reviewed by program officers who are primarily looking for responsiveness and the likelihood that the concept is is going to be competitive. 322 01:03:31.350 --> 01:03:39.419 Jim Donlon | NSF: After just a few weeks we'll send an advisory determination by email to the P. I. And the authorized organizational represented listed in the proposal. 323 01:03:39.920 --> 01:03:45.259 Jim Donlon | NSF: In addition, narrative feedback may also be sent by email directly to the lead. Pi. 324 01:03:45.280 --> 01:04:01.530 Jim Donlon | NSF: This advisory type of determination indicates whether we encourage or discourage the submission of a full proposal. This is a non-binding determination, meaning even if you've received the determination of discourage, you may submit a full proposal that further develops the preliminary, 325 01:04:02.380 --> 01:04:17.520 Jim Donlon | NSF: and Nsf. Intends to provide these determination within a month's time to provide you this feedback as early as possible in your continuing proposal development. Our experience with the same process in the last round showed the stage to be beneficial in proposal, preparation, and review. 326 01:04:17.730 --> 01:04:21.589 Jim Donlon | NSF: The prelim stage allows you to propose early plans for Nsf. 327 01:04:21.600 --> 01:04:39.229 Jim Donlon | NSF: Builds in more time for proposal development, and allows proposals to adjust plans based on feedback received, whether that be toward improvement of the preliminary idea, or to avoid the effort of preparing proposals unlikely to succeed in a competition such as this, in which there are very few expected awards that are 328 01:04:39.240 --> 01:04:41.620 announced. You in the sole citation 329 01:04:43.870 --> 01:04:56.090 Jim Donlon | NSF: we want to re-emphasize that preliminary decisions are non-binding. In any case, the decision to prepare and submit a full proposal. Should be taken. Carefully. Please Note that the proposal i'm sorry that the program 330 01:04:56.100 --> 01:05:07.339 Jim Donlon | NSF: may provide discouraged determinations to help members of the research community to make informed decisions about whether expending effort preparing proposals Unlikely to succeed is the right thing to do, 331 01:05:07.350 --> 01:05:23.820 Jim Donlon | NSF: and to undertake that significant revision; or if those ah personnel might wish to allocate the reference to other proposals. So remember to consult the Pa. Pg. Guide, and some preliminary proposals. If you have any questions about the um about the rules around this 332 01:05:24.400 --> 01:05:30.169 Jim Donlon | NSF: other questions arise about how your plans may change between preliminary and the full proposal. 333 01:05:30.180 --> 01:05:46.169 Jim Donlon | NSF: The full proposal must be submitted by the same lead organization that must be submitted to the same theme. Aside from that is expected that a great many things might change when you submit the full proposal, including scope of activities, personnel organizations, collaborations, and 334 01:05:46.390 --> 01:05:57.429 Jim Donlon | NSF: mit Ctl and a required single copy document in the full proposal provides a place for you to identify significant changes since the preliminary proposal, and we'll look at that requirement more closely when we discuss the full submission. One 335 01:05:58.560 --> 01:06:04.690 Jim Donlon | NSF: Another question that might arise is whether an individual may be listed as senior personnel on a preliminary proposal, 336 01:06:04.700 --> 01:06:09.409 Jim Donlon | NSF: and then later listed as senior personnel on a full proposal from another submitter. 337 01:06:09.510 --> 01:06:13.630 Jim Donlon | NSF: That is a submission based on a different preliminary proposal. 338 01:06:13.640 --> 01:06:20.100 Jim Donlon | NSF: Yes, this is allowable as long as the individual listed is on at most one proposal at each stage. 339 01:06:22.110 --> 01:06:35.220 Jim Donlon | NSF: We now turn our attention briefly to the highlights of ah proposal. Preparation for full proposals. Here let me preface by reminding everyone that the proposal preparation in the guidelines in the Pappt apply 340 01:06:35.230 --> 01:06:45.710 Jim Donlon | NSF: the solicitation, addresses, special instructions, or deviations from that procedure. So be sure to consult the Phpg. Where the solicitation does not have such special instructions. 341 01:06:46.160 --> 01:06:56.949 Jim Donlon | NSF: Among those special instructions is this twenty five page project description. That's a key element of your proposal. And here, at a very high level, we're showing you the required sections of the project description. 342 01:06:56.960 --> 01:06:59.190 Jim Donlon | NSF: Please include these headings, as shown. 343 01:06:59.320 --> 01:07:12.720 Jim Donlon | NSF: Note that we ask you to address several desirata that we group together as the strategic impact of the Institute to address under the Pa. Ppg required section Broader impacts. This is a convenience for you to group them under the required heading. 344 01:07:13.350 --> 01:07:26.280 Jim Donlon | NSF: So we think this Ah! High-level organization is a sensible order for those major sections. It's up to you in this case how you order a number any of these headings, and you can add other sections as you see fit. 345 01:07:26.700 --> 01:07:40.149 Jim Donlon | NSF: In the solicitation you may include the required results of You'll see that we allow for you to include the results of prior and a supplementary document rather than squeeze it in into the project description. 346 01:07:40.330 --> 01:07:47.890 Jim Donlon | NSF: There are several other important instructions related to other required or optional supplementary and single copy. Documents. So please take a look at those 347 01:07:48.470 --> 01:07:57.180 Jim Donlon | NSF: as with all proposal, submission, instructions. Read carefully all the instructions in the papp, and the solicitation, so you submit a complete and compliant proposal, 348 01:07:59.860 --> 01:08:15.979 Jim Donlon | NSF: as mentioned in the discussion on preliminary proposals, the full proposal will require that you submit a single copy document to help you link your full proposal submission to your preliminary proposal and call program officers attention to the significant changes. 349 01:08:16.720 --> 01:08:28.470 Jim Donlon | NSF: Um! I put an asterisk there under, so on. Single copy to emphasize to that single copy, and in a set parlance means it's one that's seen only by an asset program officials and not by reviewers. 350 01:08:28.490 --> 01:08:42.160 Jim Donlon | NSF: This document is going to identify the elements you see here in terms of Here's how it links to a prelim, and what changes are. You know You want us to know about that you made since the review of your preliminary proposal. 351 01:08:42.380 --> 01:09:03.770 Jim Donlon | NSF: You'll see that this um summary significant changes is meant to be brief. Two hundred and fifty words. So you know. Here, again, the brevity is an indicator of what we're looking for. Naturally, the full proposal is going to be a significant development beyond what was in your preliminary here. We just wish for you to summarize at a very high level the changes that department, noticeably from what had originally been envisaged in your preliminary 352 01:09:07.439 --> 01:09:20.769 Jim Donlon | NSF: letters of collaboration, so they are allowed for the full proposal. These letters are most helpful for you to substantiate the broader range of partners you intend to engage in your institute, and are therefore appropriate for such things. 353 01:09:20.779 --> 01:09:39.399 Jim Donlon | NSF: They're not necessary from the organizations that are in your proposal as awardy and sub-worthy organizations, because their roles and commitments are clear in your proposal they're self- evident, including too many of those can distract from the ones that are truly um value, added collaborations beyond those funded personnel. 354 01:09:39.920 --> 01:09:59.069 Jim Donlon | NSF: We emphasize here that letters of collaboration are encouraged, but letters of support are not allowed. This distinction is covered in the Ppg. So the inclusion of endorsements of so, or statements of enthusiasm from the project for the project or its personnel from your letter writer that's going to make your letter non-compliant. 355 01:09:59.130 --> 01:10:03.930 Jim Donlon | NSF: The letter should also not contain a description of the partners organization and personnel. 356 01:10:03.980 --> 01:10:09.370 Jim Donlon | NSF: Finally, do not include letters from any of the funding organizations listed at the top of the proposal. 357 01:10:12.420 --> 01:10:27.119 Jim Donlon | NSF: Okay, in short, the Ppg provides this as a recommended format for a letter of collaboration. We do check for this and flag for your bowl submission. If you've got non-compliant letters, so stick to this, and they'll be both easy to collect and avoid compliance issues one hundred and fifty. 358 01:10:27.130 --> 01:10:37.890 Jim Donlon | NSF: Um. This letter to keep in mind and maybe inform your collaborators. So this is for proposal. Documentation only serves to demonstrate that you have a substantive potential to collaborate. 359 01:10:37.950 --> 01:10:47.980 Jim Donlon | NSF: Sometimes proposers have difficulty getting a letter writer to stick to this brief form, because the letter writer has the mistaken understanding that the letter could obligate them to do a thing. 360 01:10:48.040 --> 01:11:04.639 Jim Donlon | NSF: Ah! Over such concerns they might wish to state additional limitations on the letter of collaboration, specifying the nature of the agreement to collaborate. We can tolerate that if the statements are brief, and if they refer only to activity that's otherwise fully described in the proposal as required. 361 01:11:04.980 --> 01:11:17.319 Jim Donlon | NSF: If the letter describes plans and capabilities that are not otherwise found in your proposal in the proper place, such as project description, or even the facilities and equipment and other resources document. It'll be considered non-compliant 362 01:11:17.730 --> 01:11:25.670 Jim Donlon | NSF: if the letter contains statements from the letter writer regarding their organization and their capabilities, the letter will be non-compliant. 363 01:11:25.720 --> 01:11:29.790 Jim Donlon | NSF: So any And again, letters of support are not allowed. 364 01:11:32.340 --> 01:11:54.110 Jim Donlon | NSF: Okay on submission and eligibility. Here we'd emphasize some of the important submission and eligibility requirements in the solicitation. You can see them listed here on the slide. They're documented more fully in the full solicitation. So there are two types of institutions who can apply as lead organization. But other types of organizations can be similarities. 365 01:11:54.150 --> 01:12:10.469 Jim Donlon | NSF: Um. Where submission limits are concerned. You'll notice that it's two per organization at each stage, and that there's a limit on the number of proposals that you can participate on at senior personnel. It's one preliminary proposal, or one full proposal that is, at each stage One 366 01:12:10.480 --> 01:12:27.189 Jim Donlon | NSF: and Api's and copies are our senior personnel, but senior personnel is a broader definition that's included in the Pa. Pg: You should look that up. Basically, if you're a faculty, level person or equivalent in your organization, your senior personnel 367 01:12:29.480 --> 01:12:56.929 Jim Donlon | NSF: questions about the application of organizational submissions limits based on the uh uh campuses of the same university system. So here's the guidelines for that. If you happen to be from such a university system. There's a Pa. Pg. Faq. That addresses this eligibility Uh: a distinct organization for the purpose of uh separate proposals has these kinds of uh features here. These organizations tend to have their own duns. Number separate sponsor project offices 368 01:12:56.940 --> 01:13:08.890 Jim Donlon | NSF: uh, and therefore can submit up to two proposals. Uh, see the full text of this in the link on the slide and contact us. Have your Aor contact us. If there are further questions about it. 369 01:13:10.560 --> 01:13:20.989 Jim Donlon | NSF: Okay. And now we're ready for your questions, and we have plenty to start with. We've been answering some in the module. We'll take; others live if they still 370 01:13:21.000 --> 01:13:36.209 Jim Donlon | NSF: and exist. Continue to submit questions to the Q. And A. Module. We'll address as many as we can also want to make you aware again that we are going to post these webinar materials, including this recording to the program page within just a few days to this one hundred and fifty. 371 01:13:36.310 --> 01:13:50.000 Jim Donlon | NSF: When I post the slides, you'll also find that there are some bonus slides at the end here that address some other frequently asked questions. This will just be for your later reference. Just a Ah, a handy. Ah list of 372 01:13:50.080 --> 01:13:58.079 Jim Donlon | NSF: popular Faqs. So with that let's turn our attention to the Faq. To the Q. And A. Module, and I thank everyone for your attention. 373 01:13:59.120 --> 01:14:00.980 Jim Donlon | NSF: So, um 374 01:14:01.370 --> 01:14:11.770 Jim Donlon | NSF: colleagues, let me know if you have anything teed up you want to answer live. I know Sylvia has volunteered to address a few of them that are still pending. Sylvia, 375 01:14:16.730 --> 01:14:22.389 Sylvia Spengler: I have some of these I want. I would like the group to be clear about. 376 01:14:22.400 --> 01:14:23.929 Sylvia Spengler: So 377 01:14:24.740 --> 01:14:31.949 Sylvia Spengler: the classic. The classic question is particularly in themes, two and three 378 01:14:31.970 --> 01:14:33.370 Sylvia Spengler: um. 379 01:14:33.870 --> 01:14:45.240 Sylvia Spengler: Should a proposal be driven by a single application versus a single foundational advance put in multiple application areas. 380 01:14:45.710 --> 01:14:48.569 Sylvia Spengler: My answer is that 381 01:14:48.860 --> 01:15:08.580 Sylvia Spengler: your Institute proposal is an integrated handshake between use, inspired and foundational Ai, and the best way you and your team do that is the answer to that question. There is not a preferred way of doing it. 382 01:15:11.180 --> 01:15:29.460 Jim Donlon | NSF: Thank you. So you know um. And by the way, theme lease, if you see anything, pop into the q and a module that's a theme specific, please, just but in and and we'll address that. Meanwhile, let me just take a look at some of these other program-wide ones. We have one are all key personnel expected to be funded 383 01:15:29.470 --> 01:15:34.830 Jim Donlon | NSF: uh if unfunded, should they not be listed as unfunded collaborators. Okay, 384 01:15:35.020 --> 01:15:37.590 Sylvia Spengler: that's a free proposal. 385 01:15:37.600 --> 01:15:43.639 Sylvia Spengler: It's at the pre-proposal stage. I was going to say things change a lot between cup and lip 386 01:15:44.330 --> 01:15:45.290 Sylvia Spengler: okay, 387 01:15:45.300 --> 01:15:47.089 Sylvia Spengler: just put it in 388 01:15:47.470 --> 01:16:08.099 Jim Donlon | NSF: so. Um the a a key distinction. So nsf doesn't have a term key personnel per se, but they they've got the in the term senior personnel. Um, don't put any don't. Put any senior personnel in your in in your Budget submission. If they're not actually receiving budget. Okay, uh talk to us about any other questions you have about that. 389 01:16:08.280 --> 01:16:10.139 Jim Donlon | NSF: I hope that helps 390 01:16:10.270 --> 01:16:11.570 Jim Donlon | NSF: it's 391 01:16:14.870 --> 01:16:24.199 Jim Donlon | NSF: somebody's asked a question about the one-page supplementary document that can be used for results of prior 392 01:16:24.270 --> 01:16:30.829 Jim Donlon | NSF: prior Nsf. Support. Right? That's one page in total, not one page per personnel. 393 01:16:32.460 --> 01:16:33.700 Jim Donlon | NSF: It's 394 01:16:33.920 --> 01:16:45.970 Sylvia Spengler: are all key personnel expected to have active or past and F, and as a funds the Solicitation doesn't make any mention of that it's there's no restriction like that in the Solicitation 395 01:16:48.240 --> 01:17:04.309 Jim Donlon | NSF: our ffrdc is eligible submit the proposals. No, they're not an eligible organization. Type Institutes, fire, education and nonprofits are eligible organization types, but we do have maybe let's say it might even be in my slides here. 396 01:17:05.540 --> 01:17:25.460 Jim Donlon | NSF: No. So the the thing about F therdc's is Go to the papp and find the guidance on ah funding to Federal organizations, and you'll find that Nsf. Usually does not directly fund other Federal organizations. But if you include them as a funded organization, or you 397 01:17:25.470 --> 01:17:40.539 Jim Donlon | NSF: tend to, I recommend that you obtain one of these letters that's described in the Pa. Pg. Of the unique capabilities of the Ffrdc. And how those unique capabilities relate to your proposal. 398 01:17:40.630 --> 01:17:45.600 You have questions about doing that. Please email the program box, and we'll help you with it. 399 01:17:55.830 --> 01:17:58.100 Sylvia Spengler: The bailout of two of them. 400 01:18:03.100 --> 01:18:12.130 Jim Donlon | NSF: Well, the preliminary proposal be provided to the review panel, together with the full proposal. No. When we convene a review panel, they are there 401 01:18:12.140 --> 01:18:29.699 Jim Donlon | NSF: reviewing the proposal. Ah, in question, and in addition i'll reiterate that. Ah, they don't even see the single copy document in which you describe what your changes were since the prelim they're just Ah! Evaluating the proposal as it stands at that at that submission. 402 01:18:29.830 --> 01:18:45.929 Hector Munoz-Avila | NSF: Um gema. An additional point regard related to that. There was a question about whether you know the the panel will know that this proposal was not invited or was invited, and the answer is, no, the panel will not know that information. 403 01:18:45.940 --> 01:18:47.920 So it's like roly- the ice again. 404 01:18:48.470 --> 01:18:49.559 Jim Donlon | NSF: It yeah 405 01:18:49.570 --> 01:18:59.100 Jim Donlon | NSF: um. We have a theme to question, sonar. I don't know if you had a chance to um to notice that last one submitted. I'll give you a chance to read it if you like. 406 01:19:00.530 --> 01:19:03.989 Jim Donlon | NSF: Oh, okay, This just got submitted. It looks like, 407 01:19:06.030 --> 01:19:11.290 Jim Donlon | NSF: and I want to make sure to clear the way for any theme specific things. The 408 01:19:11.300 --> 01:19:14.780 Serdar Ogut: yeah, this is this is, you know what I 409 01:19:14.870 --> 01:19:20.290 Serdar Ogut: when I meant research tools or modes, you know 410 01:19:20.420 --> 01:19:37.349 Serdar Ogut: it could involve any one of those different modes There's not one preferred, or this combination is ideal. It's to address the problems and materials 411 01:19:37.360 --> 01:19:46.110 Serdar Ogut: advancing foundation. Why active? So there's no we wanted to keep it very agnostic in that sense. 412 01:19:49.450 --> 01:19:57.900 Jim Donlon | NSF: Good. Uh. If there's any, follow up to that just type it into the Q. And A. Module. And thank you, sir. Um, there's A. Let's see. 413 01:20:02.520 --> 01:20:16.859 Jim Donlon | NSF: So an early submission here in the Q. And A. Module. I'm sorry that we skipped past it. I wonder how the innovations and Ai in the Institutes would relate to, or be encouraged to converge with the Ai advances in industry. 414 01:20:17.290 --> 01:20:18.580 Jim Donlon | NSF: Um! 415 01:20:18.590 --> 01:20:41.619 Jim Donlon | NSF: So the solicitation doesn't say anything about that right? Um. Ah! Depending on your submission and what it is you're trying to do. It might be a good idea to describe that in as much as it pertains to your Institute strategy. But we don't have any kind of expected to, or encourage to language in the solicitation where we don't restrict things or encourage things. 416 01:20:41.630 --> 01:20:54.130 Jim Donlon | NSF: We don't have a We don't have a sort of um definitive answers on such questions. I hope I know that's a non-committal answer. But that gives you all the all the running field you need to write your proposal. 417 01:21:01.650 --> 01:21:02.290 Jim Donlon | NSF: Stay! 418 01:21:02.300 --> 01:21:08.769 Jim Donlon | NSF: Have some people offering to collaborate with one another. That's fun. Talked about that one 419 01:21:10.460 --> 01:21:11.920 Jim Donlon | NSF: about the 420 01:21:12.920 --> 01:21:17.289 Jim Donlon | NSF: and it's a results of Nsf. Support right one page total right. 421 01:21:17.440 --> 01:21:40.859 Jim Donlon | NSF: The rationale for this is we don't need twenty-five pages of this from you right, and you you, you weren't going to write twenty-five pages of it. If you had to squeeze it in the project description as the Ppg required. We're giving you a full page much more space than you would like to have allocated in your in your project. Description right to, uh, briefly, briefly, describe your results of prior an assessment. 422 01:21:44.520 --> 01:21:54.350 Jim Donlon | NSF: Are there best practices or lessons learned from the existing Ai Research institutes that can be shared with the scientific community and potential applicants. Yes, 423 01:21:54.360 --> 01:22:13.529 Jim Donlon | NSF: we have baked a lot of those lessons into this webinar places where we've been kind of reiterating and and and encouraging emphasis on certain aspects of the desirata, and talking about us aspired research, and how not only proposals, but institutes are evaluated on. How well they do this integrated practice. 424 01:22:13.540 --> 01:22:26.699 Jim Donlon | NSF: This is all lessons that are kind of confirmed in our experience with Institute so as much as possible. We've been trying to reflect that through both in the revisions to the solicitation and throughout the Webinar, 425 01:22:29.640 --> 01:22:34.629 Jim Donlon | NSF: should the order of the pre proposal subsections be followed strictly. Yes, the 426 01:22:38.350 --> 01:22:41.089 Jim Donlon | NSF: how many senior personnel are appropriate! 427 01:22:41.100 --> 01:22:56.100 Jim Donlon | NSF: There's no restriction to that. There is, of course, a restriction to the number of pis that can be listed just by virtue of the practicalities of the asset. Cover page that that cover page will allow for one of the Api and four other other copies, 428 01:22:56.330 --> 01:23:15.949 Jim Donlon | NSF: but you will list all of your senior personnel in a supplementary document as described in the solicitation Um, The number of senior personnel are enough so that you are covering all of the disciplines and activities and anticipated projects, full scope of what it is you intend to do at Institute scale. 429 01:23:16.330 --> 01:23:23.359 Jim Donlon | NSF: So sorry I know that's non-committal. It's. But it's better to give you open field than this to give you a number. 430 01:23:24.270 --> 01:23:26.190 Jim Donlon | NSF: Ah! What's up? Historical 431 01:23:26.200 --> 01:23:28.219 Jim Donlon | NSF: over subscription rate. 432 01:23:28.290 --> 01:23:57.739 Jim Donlon | NSF: Oh, you want to know about um about proposal pressure or funding rate? Unfortunately, we didn't really come prepared to talk about that. We only really came prepared the Webinar to talk about the current solicitation. Um. But just bear in mind that we identify specifically a number of awards anticipated in each theme, and where that number is one, or where that number is two. That's highly selective for the number of proposals sent in. This is part of the reason why we build in the preliminary proposal, 433 01:23:57.750 --> 01:24:12.400 Jim Donlon | NSF: so that you have an opportunity to describe to us briefly your prospective proposal, and we can give you feedback on that. And if you receive a discourage with remarks that you know really can't realistically be addressed and be competitive. 434 01:24:12.410 --> 01:24:35.620 Jim Donlon | NSF: That's our early sign to you uh about how you might economize that effort. That's the best we can do for you. Funding rates are very funny thing in a in a program where number of submissions is highly variable and expected awards is sometimes one. So think of it that way, and we've tried to give you all the conditions we can to help You make informed decisions about that hope that helps 435 01:24:39.450 --> 01:24:46.150 Jim Donlon | NSF: again. Theme leads. If you see something popping in here that needs answering, please just jump in! 436 01:24:47.660 --> 01:24:50.810 Jim Donlon | NSF: Was a Sarah Sharif, already addressed that one. 437 01:24:52.430 --> 01:24:53.589 Serdar Ogut: I'm looking at it. 438 01:24:53.600 --> 01:24:54.599 Jim Donlon | NSF: Okay? 439 01:25:01.890 --> 01:25:14.349 Jim Donlon | NSF: Why, you're reading the Sudar. Let me just take a look at in the pre-proposal page limit very tight. Yes, intentionally. Should we identify the role of every senior personnel listed? 440 01:25:14.360 --> 01:25:25.290 Jim Donlon | NSF: My best advice to you is read the proposal preparation instructions for preliminary proposals. It indicates to you what should be addressed, and even 441 01:25:25.300 --> 01:25:54.000 Jim Donlon | NSF: even pretty much signals The rationale for what we want you to address a really significant aspect of the preliminary proposals for us to see. Here's your intended research scope, and the personnel you have that are meant to deliver on that right to imagine. It's easy to write a preliminary proposal with all the right goals, but without the personnel to back that plan up. So you you want to describe 442 01:25:54.010 --> 01:25:57.810 Jim Donlon | NSF: that linkage to the extent that it helps you make that case 443 01:25:57.820 --> 01:25:59.240 Jim Donlon | NSF: that helps. 444 01:25:59.250 --> 01:26:09.459 Jim Donlon | NSF: Ah, so there um is asking. Can materials, research use for designing a hardware 445 01:26:09.930 --> 01:26:21.650 Serdar Ogut: design, or the theme means only I had to be used for materials. Design Ai to be used for materials. Design is certainly one aspect of it. I didn't quite understand 446 01:26:21.890 --> 01:26:30.300 Serdar Ogut: the other part materials research used for designing Ai hardware sign. Maybe, 447 01:26:30.470 --> 01:26:38.480 Serdar Ogut: Sahart, I'm: assuming this is safer. You can send me an email on that. I'll be happy to Okay, 448 01:26:40.620 --> 01:26:59.740 Jim Donlon | NSF: So here's a question: is the evaluation of the pre-proposal based on compliance with the call or is it based on the strength of what is proposed. I hope we've made clear both in this um recent answer to a related question, and in the Webinar that the preliminary proposal is evaluated for its um 449 01:26:59.750 --> 01:27:13.499 Jim Donlon | NSF: for its responsiveness to the solicitation, including the theme to which it's submitted, and our judgment of the likelihood of a full proposal based on that prelim to be competitive in the theme. 450 01:27:14.070 --> 01:27:25.240 Jim Donlon | NSF: So it's very much about the content of what you um of what you submitted there. Not just a sort of mechanical compliance. If you will hope that helps 451 01:27:26.960 --> 01:27:32.229 Jim Donlon | NSF: Hector, do you want to address theme? Three lives since I see you, you're toiling away there? 452 01:27:32.850 --> 01:27:39.170 Hector Munoz-Avila | NSF: It was a question about tool a string to the Ib: Very soon a specific Nsf: 453 01:27:39.440 --> 01:27:48.900 Hector Munoz-Avila | NSF: Yeah. In Cpu's teams, tool or tools and no it doesn't It doesn't have to be a specific to to exist in Nsfa Institutes. 454 01:27:51.390 --> 01:27:53.779 Hector Munoz-Avila | NSF: Thank you, Hector. I hope that helps 455 01:27:55.320 --> 01:28:08.050 Jim Donlon | NSF: somebody has a noted Thank you. Everybody for helping me to manage the Q. And a module here. Thanks for cleaning up. I see this. Ah! Recent question are a ipis required to be part of the proposal or 456 01:28:08.060 --> 01:28:20.979 Jim Donlon | NSF: two domain experts suffice. So let me say a few things, one I previously stated, and I will restate where the solicitation doesn't require or restrict a thing we don't require or restrict a thing. 457 01:28:21.800 --> 01:28:40.419 Jim Donlon | NSF: Having said that, please note the very, very serious goal of an Ai Institute to advance Ai in its knowledge and methods and understanding of artificial intelligence. So how you select personnel ought to reflect the full range of the six desirata and the solicitation. 458 01:28:46.400 --> 01:28:56.259 Jim Donlon | NSF: Okay, we're out of questions. I see like we can see, three o'clock is ticking down really fast. Last chance to type something into the Q. And A. Module. 459 01:28:59.290 --> 01:29:22.409 Jim Donlon | NSF: I see people dropping off because you have meetings here at the top of the hour. Thank you, everybody for joining us. I'll remind you we're going to post these materials to include a few. Ah Bootleg Faq at the end. Here two slides worth of other questions that sometimes come up. Please feel free to consult that. Get in touch with the program contacts with any questions. We're very happy that you joined us. We look forward to your proposals, 460 01:29:22.420 --> 01:29:23.599 Jim Donlon | NSF: bye, everybody.