HDR² From Harnessing the Data Revolution to Harvesting the Data Revolution

from Wednesday 26 October 2022 (10:00) to Thursday 27 October 2022 (15:00)


        : Sessions
    /     : Talks
        : Breaks
26 Oct 2022
27 Oct 2022
AM
10:20 Welcome and Intro - Shih-Chieh Hsu (University of Washington Seattle (US))  
10:30 Welcome and HDR Update from NSF - Amy Walton (NSF)  
11:00
Education and Outreach - CARE & FAIR principles - Nathan Quarderer (University of Colorado Boulder) Valerie Barr (Bard College) Paula Mabee (University of South Dakota & NEON) (until 12:00)
11:00 Intro - Nate Quarderer (University of Colorado Boulder)  
11:20 Scenario discussion  
11:40 Report out and Closing  
09:00
Keynote Speakers - Ambuj Singh (University of California, Santa Barbara) (until 09:30)
09:00 Keynote Speaker - An integrative, university-wide approach to data science - Sarah Stone (e-Science Institute, University of Washington)  
09:30 Lightening talk  
10:00 --- group picture ---
10:10
Poster session I (until 11:10)
10:10 A3D3: Community Engagement, Education, Outreach - Mark Stephen Neubauer (Univ. Illinois at Urbana-Champaign) Mark Neubauer (Univ. Illinois at Urbana Champaign (US))  
10:10 Collaborative Research: HDR DSC: Building Capacity in Data Science through Biodiversity, Conservation, and General Education - Prof. Kathleen Prudic (University of Arizona)  
10:10 Convergence Curriculum for Geospatial Data Science - Dr Anand Padmanabhan (University of Illinois at Urbana Champaign)  
10:10 DATA INSPIRE: Morse Graphs can effectively estimate the Regions of Attraction (RoAs) of dynamical systems, including closed-box ones. - Ewerton Rocha Vieira (Rutgers)  
10:10 Data Science Career Pathways in the Inland Empire (DS-PATH) - Paea LePendu (UC Riverside)  
10:10 Data science training and practices: preparing a diverse workforce via academic and industrial partnership - Babak Shahbaba  
10:10 DIMACS DATA-INSPIRE at Rutgers: Conditioned Weiner Processes and a Rigorous Probabilistic Analysis of Dynamics - Dr Cameron Thieme (DIMACS, Rutgers University)  
10:10 Drift vs Shift: Decoupling Trends and Changepoint Analysis - Prof. David Matteson (Cornell University)  
10:10 Engaging Undergraduates in Data and Decisions Research at the Engineering/Biology Interface - Dr David Schmale (Virginia Tech)  
10:10 Establishing the Metropolitan Chicago Data Science Corps (MCDC) - Suzan van der Lee (Northwestern University)  
10:10 Infusion of data science and computation into engineering curricula - Rebecca Napolitano (Penn State University) Prof. Wesley Reinhart  
10:10 Institute for Data-Driven Dynamical Desgin - Prof. Jane Greenberg (Drexel U.) Prof. Steven Lopez (Northeastern) Eric Toberer (Colorado School of Mines)  
10:10 Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE) - Prof. Shaowen Wang (University of Illinois Urbana-Champaign)  
10:10 Multiscale Basis Dictionaries on Higher-Order Networks - Naoki Saito (University of California, Davis)  
10:10 The Earth Data Science Corps: a model for teaching & learning environmental data science skills - Dr Nathan Quarderer (CU Boulder/CIRES/Earth Lab/ESIIL)  
10:10 The I-GUIDE Cyberinfrastructure Platform - X. Carol Song (Purdue University)  
10:10 The National Data Mine Network - Dr Mark Daniel Ward (Purdue University)  
10:10 TRIPODS Phase II: Institute for Data, Econometrics, Algorithms, and Learning (IDEAL) - Lev Reyzin (University of Illinois at Chicago)  
11:10 --- Working Lunch ---
PM
12:00
Poster session I - Philip Coleman Harris (Massachusetts Inst. of Technology (US)) (until 12:30)
12:00 Lightning talks  
12:30 --- Working Lunch ---
13:30
Keynote Speakers - Ambuj Singh (University of California, Santa Barbara) (until 14:00)
13:30 Keynote talk: Let's make Data Science more like Science - Juliana Freire (New York University)  
14:00
Research Panel - Barna Saha (UCSD & TRIPODS) Philip Coleman Harris (Massachusetts Inst. of Technology (US)) (until 15:00)
14:00 Intro Talk - AI expert (Adam Smith BU) - Prof. Adam Smith (Boston Univeristy)  
14:20 Panel Board - Prof. Tanya Berger-Wolf (Ohio State University) Prof. Hamed Hassani (University of Pennsylvania) Prof. Eric Torberer (Colorado School of Mines) Prof. Adam Smith (Boston Univeristy)  
14:40 Open Mic  
15:00 --- Coffee ---
15:30
Data and Cyberinfrastructure Panel - Jianwu Wang (University of Maryland, Baltimore County) Jane Greenberg (Drexel University) Anand Padmanabhan (University of Illinois Urbana-Champaign) (until 16:50)
15:30 MLCommons Research: An Open-Source Machine Learning Ecosystem Linking Industry, Government and Academia to Democratize AI Technologies for Everyone - Geoffrey Fox (Indiana University)  
15:40 Data and Cyberinfrastructure around the HDR ecosystem - the I-GUIDE perspective - Carol X. Song (Purdue University)  
15:50 Data and Cyberinfrastructure Panel: HDR Institute Imageomics - Charles Stewart (Rensselaer Polytechnic Institute)  
16:00 Open mic  
16:30
Poster session I (until 18:30)
16:30 A3D3: Accelerating AI Algorithms - Philip Coleman Harris (Massachusetts Inst. of Technology (US))  
16:30 AI Across the Statewide Curriculum - Dr Satyanarayan Dev (Florida Agricultural and Mechanical University) Dr Jennifer Drew (University of Florida)  
16:30 Central Coast Data Science Partnership: Training a New Generation of Data Scientists - Alex Franks  
16:30 Cost-aware Generalized alpha-investing for Multiple Hypothesis Testing - Patrick Flaherty (University of Massachusetts Amherst)  
16:30 D4 (Dependable Data Driven Discovery) Institute - Prof. Hridesh Rajan (Iowa State University)  
16:30 DAMAD Science CorpsThe Delaware And MiD-Atlantic Data Science Corps - Prof. Jing Gao (University of Delaware)  
16:30 Data Science Corps: Wrangle, Analyze, Visualize – Experiential Learning in Local Community Organizations - Valerie Barr  
16:30 Deletion Resilient Group Testing - Venkata Gandikota (Syracuse University)  
16:30 HDR DSC: Collaborative Research: Transforming Data Science Education through a Portable and Sustainable Anthropocentric Data Analytics for Community Enrichment (ADACE) Program - Dr Yu Liang (University of Tennessee at Chattanooga)  
16:30 HDR DSC: Data Science for Social Good in Urban Areas - Dr Aryya Gangopadhyay (UMBC)  
16:30 HDR IDEAL - The Institute for Data, Econometrics, Algorithms, and Learning - Varun Gupta  
16:30 iHARP- Harnessing Data and Model Revolution in the Polar Regions - Dr Vandana Janeja (UMBC)  
16:30 Imageomics: Images as the Source of Information about Life - Tanya Berger-Wolf (Ohio State University)  
16:30 Interdisciplinary Traineeship for Socially Responsible and Engaged Data Scientists (iTREDS) - Thomas Mustillo (University of Notre Dame) Kristin Kuter (Saint Mary's College)  
16:30 Modernizing Water and Wastewater Treatment Through Data Science Education and Research - Prof. Amanda Hering (Baylor University)  
16:30 Professor - Jeffrey Errington  
16:30 T-Tripods: Supporting the Foundation of a Data Intensive Studies Center - Prof. Lenore J Cowen (Tufts University)  
16:30 Training next generation data scientists for Energy Transition - Mikyoung Jun  
18:00 --- Working Dinner ---
19:30 Breakout Session  
12:00
Breakout session Summaries - Philip Coleman Harris (Massachusetts Inst. of Technology (US)) (until 14:00)
12:00 Breakout Session #1: Research ML Challgnes - Philip Coleman Harris (Massachusetts Inst. of Technology (US))  
12:10 Research: Inductive Bias in Learning - Jeremias Sulam (Johns Hopkins University)  
12:20 Breakout Session #2: Education and Outreach - Valerie Barr  
12:20 Complex Data Structures - Vandana Janeja (UMBC)  
12:40 Breakout Session #3: Data and Cyberinfrastructure - Anand Padmanabhan Jianwu Wang  
13:00
Closeout - Shih-Chieh Hsu (University of Washington Seattle (US)) (until 13:40)
13:00 Open Mic Session+Discussion  
13:30 Concluding Remarks - Shih-Chieh Hsu (University of Washington Seattle (US))