HDR PI meeting organization #1

Wednesday 22 Jun 2022, 07:00 → 08:00 US/Pacific

61/1-007 - Room B (CERN)

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>

1. There is support to help :

   • Put together PI meetings
   • Work towards a re-branding of the HDR towards an outward looking project

2. Covering : 

   • TRIPOD: Underlying math and statistics for data analysis

   • Collaborations (institutes) focus on various domains with new computational tools

     • Goal to increase the overall scope and deployment of advanced data usage

   • Transition activity towards engaging more people in datas science techniques

3. Year 1: Work on how we can connect the various funded awards, and understand the scope of each of the programs

   • How can we engage greater scientific community? 

   • Establish cross Institute/TRIPOD/DSC works?

4. For PI meeting we should keep 3 things in mind:

   1. We should meet and know each other, establish boundary conditions

   2. Talk about the cross-activity initiatives and how can we use additional resources

   3. Ensure that these activities benefit the whole ecosystem

5. Deliversables

   • Coming up with a deliverable of a collective voice? 

     • What key advances are the goals of the work? 

     • What are the key barriers? 

   • Perhaps a panel on institutional barriers to data science?

6. It's too early to engage students into the PI meeting. However, we will have other activities in the near future to engage students

7. Assign the agenda and list of people within 1 week?

   • Plan to meet at this time slot next week

 

Actions and actvities:
 

1. Surveying people’s interests before the meeting

   • Use the Survey’s as a guide to drive the discussion

   • In the survey, we get a list of what people are interested in and define the session subjects

2. Lightning talks 

   • 1 ming lightening talk in the PI meeting

   • In addition, we can request 3 minute lighting talk video 

     • Videos can be posted  in advance of the meeting

     • We can  also run the videos during the breaks 

   • This can help stimulate discussions and match collaborations in the poster session

     • Poster session should be staggered

     • Stack of post notes to link poster

07:00 → 07:10 Introduction

Speakers: Philip Coleman Harris (Massachusetts Inst. of Technology (US)), Shih-Chieh Hsu (University of Washington Seattle (US))

gslide

07:10 → 07:30 Topical discussions