| NSF Org: |
IIS Division of Information & Intelligent Systems |
| Recipient: |
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| Initial Amendment Date: | June 3, 2022 |
| Latest Amendment Date: | June 3, 2022 |
| Award Number: | 2223561 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Hector Munoz-Avila
hmunoz@nsf.gov (703)292-4481 IIS Division of Information & Intelligent Systems CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | June 15, 2022 |
| End Date: | May 31, 2024 (Estimated) |
| Total Intended Award Amount: | $25,000.00 |
| Total Awarded Amount to Date: | $25,000.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
ONE CASTLE POINT ON HUDSON HOBOKEN NJ US 07030-5906 (201)216-8762 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
1 Castle Point Ter Hoboken NJ US 07030-5906 |
| 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): | Info Integration & Informatics |
| Primary Program Source: |
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| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.070 |
ABSTRACT
This grant provides support for 25 U.S.-based graduate students to participate in the 28th ACM SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2022), which will be held in Washington D.C. from August 14 -18, 2022. KDD is an annual conference that presents the world's premier research in data mining. In the past, the total number of KDD participants has been in excess of 3000. The conference covers topics in the data mining lifecycle, including algorithms, software and systems, and applications. The conference will also focus on related areas such as artificial intelligence, machine learning, data management, and information retrieval. The selection committee will select recipients of the support based on merit and need and place particular emphasis on diversity in the selection process.
As an interdisciplinary conference, KDD brings together researchers and practitioners from academia, industry, and governments who work on all aspects of data mining and data science problems. The conference is highly competitive and focuses on training and mentoring students. It includes a technical program with regular peer-reviewed papers in the form of oral and poster presentations, as well as panel discussions and invited talks by leading experts in academia and industry. Besides the technical program, the conference features activities such as workshops, tutorials, panels, posters, project showcases. These will provide a comprehensive multi-facet learning experience to students at all levels. The award will be advertised and the results will be announced at the KDD 2022 website (https://www.kdd.org/kdd2022/) as well as various data mining mailing lists.
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.
The goal of this grant was to provide domestic travel support for US-based students to attend the 28th ACM SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2022), which was held in Washington D.C. from August 14 -18, 2022.
KDD is an annual conference that presents the world's premier research in data mining. As an interdisciplinary conference, it brings together researchers and practitioners from academia, industry, and governments who work on all aspects of data mining and data science problems. The conference is highly competitive and focuses on training and mentoring students. It includes regular peer-reviewed papers in the form of oral and poster presentations, as well as panel discussions and invited talks by leading experts in academia and industry. The KDD conference provides an international forum for the presentation of original research outcomes, as well as the exchange and dissemination of innovative and practical development experiences. The conference covers topics in the data mining lifecycle, including algorithms, software and systems, and applications. The conference will also focus on related areas such as artificial intelligence, machine learning, data management, and information retrieval.
In 2022, the fund was used to support 31 students to attend 2022 KDD in Washington DC. Each student received up to $800 to cover travel expenses. These 31 students were from 29 US institutions. Among them, 13 (42%) were self-identified as women and 5 were from minority groups. At the time of applications, 3 were undergraduate students, 1 was master student, and the rest were doctoral students.
Supported students attended the KDD conference, where they actively engaged in paper presentations, workshops, and keynote talks. In addition to attending these events, students also had the chance to showcase their own research, refine their presentation skills, foster meaningful connections with their peers, and expand their knowledge about leading industry companies.
Last Modified: 09/21/2024
Modified by: Yue Ning
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