| NSF Org: |
OCE Division Of Ocean Sciences |
| Recipient: |
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| Initial Amendment Date: | June 30, 2020 |
| Latest Amendment Date: | June 30, 2020 |
| Award Number: | 2038846 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Elizabeth Rom
elrom@nsf.gov (703)292-7709 OCE Division Of Ocean Sciences GEO Directorate for Geosciences |
| Start Date: | August 1, 2020 |
| End Date: | August 31, 2021 (Estimated) |
| Total Intended Award Amount: | $7,423.00 |
| Total Awarded Amount to Date: | $7,423.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
60 BIGELOW DR EAST BOOTHBAY ME US 04544-5700 (207)315-2567 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
ME US 04544-0380 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): | EDUCATION/HUMAN RESOURCES,OCE |
| Primary Program Source: |
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| Program Reference Code(s): | |
| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.050 |
ABSTRACT
Computational and data science skills have become essential in making scientific discoveries, especially in fields where the integration of diverse sources of observational and modeled data is required to understand the mechanisms and functions of complex systems, such as the Earth?s ocean. However, conventional ocean sciences education focuses predominantly on domain-specific knowledge and often falls short in explicitly incorporating these operational skills into the curriculum. The PIs will plan and host several workshops, a virtual workshop in 2020 and two in-person workshops in 2021, that aim to address this urgent need by combining immersive tutorials on state-of-the-art data science methodologies, peer-learning, and on-site collaborative hack project work in a 5-day intensive workshop. This is a domain-specific adaptation of the ?hackweek? model, which has emerged in the computational data science community as a powerful model for educating new users, sharing technical expertise, and building an inclusive and cohesive community. The focus of the workshops is the use of ocean data, and specifically the use of data from the NSF-funded Ocean Observatories Initiative.
The workshops, called "OceanHackWeek2020-2021", provide an avenue for expediting the adoption of data science methodologies and computational tools for data-intensive research in the ocean sciences community. These skills are indispensable for modern-day oceanographers to tackle complex scientific questions by harnessing the data revolution. OceanHackWeek differs from traditional academic conferences and one-off hackathons by its immersive curriculum, collaborative learning environment, and a set of carefully crafted participant selection criteria that helps promote diversity and inclusivity. These designs help spur collaborative interdisciplinary ideas and help promote best data science practices in ocean sciences. OceanHackWeek focuses not only on promoting data science literacy but also on building an inclusive and cohesive community of oceanographers for learning and sharing. The organizers encourage and empower participants to bring the skills gained and the sense of community formed during the hackweek back to their own labs and institutions. Beyond the intensive in-person workshop, OceanHackWeek tutorials will be maintained as persistent open online resources to allow anyone to partake and self-learn. By facilitating and catalyzing the growth and change of individuals through grassroot efforts that promote and embrace a diverse community, OceanHackWeek drives cultural change in the field of oceanography.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
OceanHackWeek is a collaborative learning experience with two aims:
1. To promote data and software proficiency in ocean scientists - Provide oceanographers with computational and data science skills to advance modern oceanographic research, which often requires the integration and manipulation of diverse sources of big data and models.
2. To facilitate inclusive community building - Connect oceanographers across disciplines, career stages and trajectories, as well as diversity of experience and identity to cultivate an inclusive, open and sharing culture that catalyzes data-intensive research.
OceanHackWeek includes tutorials, data exploration, software development, collaborative projects and community networking. Participants learn computational and data science skills with a focus on the integration and manipulation of diverse sources of data and models. We encourage participation across disciplines and career stages so we can connect oceanographers with a diversity of experience and identity and cultivate an inclusive, open and sharing culture that catalyzes data-intensive research. Further information can be found on our website: https://oceanhackweek.github.io/
OceanHackWeek was successfully conducted for the first time as a virtual event in 2020, on August 10-14, with optional pre-event sessions on August 6 & 7 (https://oceanhackweek.github.io/ohw-resources/ohw20/ ). It brought together 46 participants (50% international), 15 organizers and 18 additional presenters and helpers. Participants, helpers and organizers were located in 21 countries and all continents except for Antarctica. Participants and tutorials reflected the interdisciplinary nature of oceanography, from genomics to global surface temperature. The event also embraced the two most widely used open-source programming languages in data science and oceanography, Python and R. Despite the novel challenges of moving the hackweek entirely online and working around a wide span of time zones, feedback from the participants was overwhelmingly positive in the post-event survey (see testimonials at https://escience.washington.edu/OHW2020-reflections/ ).
OceanHackWeek 2021 (https://oceanhackweek.github.io/ohw-resources/ ) was held on August 3-6, 2021. Building on the success of the virtual event and previous in-person events, OceanHackWeek 2021 was designed as a hybrid event made up of three highly coordinated groups: an in-person gathering at Bigelow Laboratory for Ocean Sciences, the larger ?main? virtual event spanning time zones from the US West Coast to Israel, and a smaller virtual ?Oceania? event for time zones from Australia to India. It brought together 70 participants, 16 organizers and 13 additional presenters and helpers, also spread out globally from every continent except Antarctica.
Last Modified: 12/29/2021
Modified by: Nicholas Record
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