HDR PI meeting organization #4

Friday 5 Aug 2022, 09:00 → 10:10 US/Pacific

We are planning to convene an in-person meeting of Principal Investigators (or your designated representative) for all three categories of awards across the Harnessing the Data Revolution ecosystem:

• Institutes for Data-Intensive Research in Science and Engineering
• Transdisciplinary Research in Principles of Data Science (TRIPODS)
• Data Science Corps (DSC).

The meeting will be held in the The Westin Alexandria Old Town on October 26-27, 2022.

Organization Committee:

• Shih-Chieh Hsu (co-chair), UW, http://faculty.washington.edu/schsu -- A3D3 representative
• Philip Harris (co-chair), MIT, https://physics.mit.edu/faculty/philip-harris/ -- A3D3 representative
• Valerie Barr, Bard College, https://vbarr4.github.io/ -- DSC representative
• Jennifer Blach, UC Boulder, https://www.colorado.edu/geography/jennifer-balch-0 — DSC representative
• Jane Greenberg, Drexel, https://drexel.edu/cci/about/directory/G/Greenberg-Jane/ --  ID4 representative
• Paula Mabee, NEON, https://www.linkedin.com/in/paula-mabee-08b45a42/ -- Imageomics representative
• Anand Padmanabhan, UIUC, https://ggis.illinois.edu/directory/profile/apadmana -- I-GUIDE representative
• Barna Saha, UCSD, https://barnasaha.net/  --  TRIPODS representative
• Ambuj Singh, UCSB, https://www.cs.ucsb.edu/index.php/people/faculty/ambuj-k-singh -- DSC representative
• Jianwu Wang, UMBC, https://userpages.umbc.edu/~jianwu/ -- iHARP representative

NSF HDR Program Officers:

• Amy Walton <awalton@nsf.gov>
• Vyacheslav (Slava) Lukin <VLUKIN@nsf.gov>
• Sylvia J. Spengler <sspengle@nsf.gov>
• Christopher Stark <cstark@nsf.gov>

proposed topics

1 Plenary Speaker

Speakers: Ambuj Singh (UCSB), Shih-Chieh Hsu (University of Washington Seattle (US))

2 Data and Cyberinfrastructure: panel and breakout sessions

Speakers: Anand Padmanabhan (UIUC), Jane Greenberg (Drexel University), Jianwu Wang (University of Maryland, Baltimore County)

3 Education panel and breakout sessions

Speakers: Jennifer Balch (CU Boulder), Paula Mabee (NEON), Valerie Barr (Bard)

HDR MTG Education Panel proposal .pdf

4 Research panel and breakout sessions

Speakers: Barna Saha (UCSD), Philip Coleman Harris (Massachusetts Inst. of Technology (US))

1. A talk on machine learning methods with inductive bias

2. A Panel with 2 Scientists using ML and. 2 Computer scientist from the HDR community

       => Suggested Question topic: When computing beats scientific thinking? 

              => We could do meta learning (but I think thats too far in the future for most)

3. Open discussion after the panel 20'

4. For the breakout topics : 

      a. Adapting to data equity

      b. Meta Learning

      c. Multi-Modal data