HDR²

Alexandria

Oct 26-27 2022

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To Harvesting �the Data Revolution

�From Harnessing �the Data Revolution

NSF HDR PI Meeting

https://indico.cern.ch/event/1174814/

Zoom

Welcome to the NSF HDR PI meeting

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• Yellow sticker in the back of your badge is the table assignment
• Speakers - please contact us (Hsu, Harris) to upload your slide

Welcome

Community and Safety

Code of Conduct

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• Be welcoming and open minded
• Communicate with empathy
• Respect each other
• Recognize that intent does not equate to impact
• Strive to make informal activities relating to HDR inclusive to all
• Actively work to better our community

Bringing us closer

COVID-19 Prevention Plan

• Face coverings are strongly recommended
• Quarantine is no longer required after close contact with a person who has COVID-19.
• Self-monitoring for symptoms required daily (no reporting): Do not come to work or class, and follow instructions on the flowchart if you experience COVID-19 symptoms that are not attributable to another condition.
• Reporting a positive test result to the meeting organizer is required.
• Testing: Get tested if you develop symptoms

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Venue

All activities are in the �Edison ABC of�The Westin Alexandria Old Town �

Goal of the meeting

• How can we work together and eventually go from Harnessing the Data Revolution to Harvesting the Data Revolution or HDR²?
• To build a strong and sustainable HDR Ecosystem

Deliverables

• We would like to come up with ideas of community activities or proposals of work forces should be formulated in order to achieve the goal

Harnessing the Data Revolution (HDR)

Engaging NSF's research community in the pursuit of

• fundamental research in data science and engineering,
• the development of a cohesive, federated, national-scale approach to research data infrastructure, and
• the development of a 21st-century data-capable workforce

NSF HDR Award Category

Institutes for Data-Intensive Research in Science and Engineering

Transdisciplinary Research in Principles of Data Science

Data Science Corps

HDR Ecosystem supplement grant

• Supplemental funding ($1.25M) awarded to A3D3 toward efforts to grow and strengthen HDR Ecosystem
• Three Core initiatives in this supplement grant
• HDR PI meetings
• We are organizing this meeting, and 2024 edition
• Machine Learning challenges
• We are planning on initiating a series of ML challenges
• Postbac enhancement
• We would like to build on our existing program
• Connect our work across the HDR community

NSF HDR PI meeting series

1st A3D3

Oct 2022

2nd ID4

2023

3rd A3D3�2024

4th

2025

5th�2026

• 2023 HDR PI meeting organized by ID4 to review progress
• 2024 Big HDR Conference Meeting UIUC

• 2022 Start from a core meeting within HDR community to formulate consensus of the HDR Ecosystem

Organization Committee for the First PI Meeting

Valerie Barr, �Bard C.(DSC)

Paula Mabee, �NEON (Imageomics)

Phil Harris, MIT

(A3D3, co-chair)

Shih-Chieh Hsu, UW

(A3D3, co-chair)

Jianwu Wang, UMBC (iHARP)

Nathan A. Quarderer, �CU Boulder (DSC)

Ambuj Singh, UCSB (DSC)

Jane Greenberg, Drexel U. (ID4)

Anand Padmanabhan,�UIUC (I-GUIDE)

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Barna Saha, UCSD�(TRIPODS)

NSF Advisory Committee

Amy Walton

Vyacheslav Lukin

Sylvia J. Spengler

Agenda

7:30pm Breakout session

12pm Breakout Summary

4:30pm Poster session I

9:30am Poster session II

11am NSF welcome

• Two Keynote talks: Juliana Freire and Sarah Stone

Activities in this PI meeting

• Panel discussions on three principle components:
• Research
• Education & Outreach
• Data & Cyberinfrastructure
• Lightning talk
• 1 min for DSC or TRIPODS Phase I
• 2 min for Institutes or TRIPODS Phase II
• Poster sessions
• This is a great opportunity to know more about each representative and their efforts
• Breakout sessions
• Propose activities or formulation of working groups
• Each proposal should include a coordination plan (candidate coordinators, milestone, timeline, anticipated deliverables).
• Progress on each activity will be reported in the future PI meeting

Breakout sign-up

• Sign-up sheet will be open during afternoon poster session
• Policy of member compositions:
• at least one member from each award category
• maximum number of people is 8
• Results will be summarized in the Day 2 plenary session

[Link]

Enjoy the meeting!

Breakout session sign-up (7:30pm~8:30pm)

https://tinyurl.com/3vfk2znm

Research Breakout

• Breakout Session 1: Inductive Bias
• How to impose scientific constraints on our ML algorithm to achieve optimal learning
• Breakout Session 2: Complex Data Structure
• How do you combine data sets from different origins and types into one single learning goal
• Breakout Session 3: ML Challenges
• What sort of ML challenges can we make to get the community excited? What do we need to do to launch the challenge?

Education & Outreach Breakout Session

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Tonight 19:30 - 20:30

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Discussion Topics:

• Undergraduate data science education including pedagogy, project-based learning, and data science ethics

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• Sustainable and reproducible data science research, including open source code, collaborative shared community building, and training programs

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We hope to see you there! :)

Data & Cyberinfrastructure Breakout Session

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Discussion Topics:

• Data incompleteness, missing data
• Lead: Eric Toberer
• Computational Reproducibility
• Lead: Anand Padmanabhan
• Data and code scalability
• Lead: Jianwu Wang

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