Continental Breakfast (provided)

Shaowen Wang, University of Illinois Urbana-Champaign

Chair: Michael Goodchild, University of California Santa Barbara

Presenter: Shaowen Wang, University of Illinois Urbana-Champaign

Chair: Mohan Ramamurthy, Unidata/UCAR

• • From Manual GIS Workflows to Reproducible Dam-Failure Risk Analytics: a PostGIS REST API and Dashboard Reference Implementation. Jungha Woo (Purdue University), Xiao Liu (Purdue University), Erick Li (University of Illinois Urbana-Champaign), Michael Englert (Utah State University), Furqan Baig (University of Illinois Urbana-Champaign), Carol Song (Purdue University), Anand Padmanabhan (University of Illinois Urbana-Champaign), and Courtney Flint (Utah State University)
  • Evaluating Alternative Designs of Land-Based Conservation Targets in a Spatially Explicit Global Economic Model.  Iman Haqiqi (Purdue University), Jonathan Doelman (PBL Netherlands Environmental Assessment Agency), and Thomas Hertel (Purdue University)
    
  • Evaluating Storage and I/O Efficiency of Geospatial Data Formats. Fangzheng Lyu (Virginia Tech University)
  • TBA. Hao Fang (University of Washington)

Chair: Diana Sinton, University Consortium for Geographic Information Science

• • MURD-ViT: Urban Retrofitting Detection with Vision Transformer. Raj Bhattarai (Virginia Tech University) and Fangzheng Lyu (Virginia Tech University)
  • GeoLocate: Spatial Modeling of Market Entry Viability. Jaiany Rocha Trindade (Federal University of Rio Grande do Sul, Brazil & Harvard University), Vinicius Andrade Brei (Federal University of Rio Grande do Sul & MIT Media Lab), and Devika Jain (Harvard University)
  • From Mobility Intensity to Market Infrastructure: A Spatial AI Framework for Recovering Hidden Spatial Regimes and Multiscale Variation. Rafael Albuquerque (Federal University of Rio Grande do Sul, Brazil), Jéssica Miranda (Federal University of Rio Grande do Sul, Brazil), Vinicius Andrade Brei (Federal University of Rio Grande do Sul & MIT Media Lab), and Siqin (Sisi) Wang (University of Southern California)

Chair: Efi Foufoula-Georgiou, University of California Irvine

Presenter: Luc Anselin, Stein-Freiler Distinguished Service Professor of Spatial Data Science, University of Chicago

Moderator: Michael Goodchild, University of California Santa Barbara

Panelists: 

Yoonjung Ahn, The University of Kansas

Kelvin Droegemeier, University of Illinois Urbana-Champaign

Peter Kedron, University of California, Santa Barbara

Yue Lin, University of Illinois Urbana-Champaign

Continental Breakfast (provided)

Shaowen Wang, University of Illinois Urbana-Champaign

Chair: Shaowen Wang, University of Illinois Urbana-Champaign

Presenter: Chaitan Baru, Emerging Technologies in the Technology, Innovation, and Partnerships (TIP) Directorate, National Science Foundation (NSF)

Moderator: Mark Neubauer, University of Illinois Urbana-Champaign

Panelists:

• • Budhendra L. Bhaduri, Oak Ridge National Laboratory
  • Devika Jain, Harvard University
  • Jianwu Wang, University of Maryland, Baltimore County

Moderator: Aaron Addison, World Geospatial Industry Council (WGIC)

Panelists:

• • Samantha T. Arundel, Director of USGS Center of Excellence for Geospatial Information Science
  • Elliott Kellner, President of Taylor Geospatial
  • Angela Lee, Director of Esri Education Solutions

Chair: Elif Ertekin, University of Illinois Urbana-Champaign

Guiding question: What should AI-era education and workforce development look like for data-intensive discovery and innovation?

Talk (20 mins)

• • AI Is Changing Geographic Problem Solving; Instruction Must Change Too. Peter Kedron (University of California Santa Barbara), Sarigai Sarigai (University of California Santa Barbara), Heather Baier (Arizona State University), and Andrew Trgovac (Arizona State University)

Position statements (5 mins each)

• • Leverage the National Student Data Corps for Multi-domain HDR AI Workforce Development. Florence Hudson (Columbia University) and Emily Rothenberg (Columbia University)
  • Toward an AI-HPC Skills Inventory: Effectively Assessing Advanced Cyberinfrastructure Upskilling Interventions at Research Institutions. Roy Prouty (University of Maryland, Baltimore County)
  • Education and Workforce Development for AI-enabled Sciences. Amin Sahba (University of Texas at San Antonio)

Breakout groups (45 mins):

• • Group A — Curriculum innovation (Lead: Peter Kedron)
  • Group B — Community & workforce pipelines (Lead: Florence Hudson)
  • Group C — Measuring upskilling impact (Lead: Roy Prouty)
  • Group D — Education & workforce for AI-enabled sciences (Lead: Amin Sahba)

Report backs (20 mins)

Chair: Diana Sinton, University Consortium for Geographic Information Science

Chairs: Diane Boghrat, The Ohio State University
Josephine Namayanja, University of Maryland, Baltimore County

Continental Breakfast (provided)

Tanya Berger-Wolf, The Ohio State University

Elif Ertekin, University of Illinois Urbana-Champaign

Chair: Jianwu Wang, University of Maryland, Baltimore County

Title TBA (A3D3)
Title TBA (ID4)

Chair: Shih-Chieh Hsu, University of Washington

Guiding Question: What does trustworthy AI-enabled science require in practice?

Position Statements (5 minutes each)

• • Rethinking Location Privacy: Cross-Modal Inference in Foundation Models. Yue Lin (University of Illinois Urbana-Champaign)
  • Uncertainty Quantification in Heterogeneous Data Environments. Jun Wu (Michigan State University)
  • Compliance by Design: Embedding Responsibility in AI Cyberinfrastructure. Peter Darch (University of Illinois at Urbana-Champaign)
  • Reproducibility in Scientific Workflows with Artificial Intelligence: Challenges and a Path Forward. Smita Darmora (University of Illinois Chicago & College of DuPage)
  • Ethical and Responsible AI. Ramin Sahba (University of Texas at San Antonio)
    

Breakout Group Discussions (45 minutes)

• • Group A — Privacy & inference risk (Lead: Yue Lin)
  • Group B — Uncertainty & reliability (Lead: Jun Wu)
  • Group C — Accountability & compliance (Leads: Peter Darch, Ramin Sahba)
  • Group D — Reproducibility of AI Workflows (Lead: Smita Darmora )

Report Backs (20 minutes)

Chair:Tanya Berger-Wolf, The Ohio State University

Guiding Question: How do we build AI that generalizes and holds up under real-world scenarios?

Position Statements (5 minutes each)

• • Moving Beyond Correlation: Causal AI for Generalizable Earth Sciences. Emam Hossain (University of Maryland, Baltimore County) and Md Osman Gani (University of Maryland, Baltimore County)
  • Time Critical Mission Support: Opportunities for AI, HPC, Geospatial Digital Twins. Budhendra Bhaduri (Oak Ridge National Laboratory)
  • From Hazard to Opportunity: A Convergence Framework for Wildfire Disaster Prediction and Resilience. Janice Coen (NSF NCAR)
  • Identifying Cryospheric Connectivity: a Graph-Based Framework Linking Sea Ice Retreat to Ice Shelf Melting. Molly Balkan (University of Maryland, Baltimore County), Shanmukhi Gundu (University of Maryland, Baltimore County), Sudip Chakraborty (University of Maryland, Baltimore County) and Vandana Janeja (University of Maryland, Baltimore County)
  • AI for Science and Science for AI: What Happens When the Data Aren't There? Elif Ertekin (University of Illinois Urbana-Champaign)

Breakout Group Discussions (45 minutes)

• • Group A — Causal & generalizable Earth AI (Leads Emam Hossain and Elif Ertekin)
  • Group B — Time-critical & disaster support (Leads: Budhendra Bhaduri and Janice Coen )
  • Group C — Earth system dynamics (Lead: Molly Balkan )

Report Backs (20 minutes)

Chair: Vandana Janeja, University of Maryland, Baltimore County

Guiding question: What makes data genuinely AI-ready and who is responsible for making it happen?

Position Statements (5 minutes each)

• • Rethinking AI Readiness for Multi-Source Geoscience Data Workflows. Chhaya Kulkarni (Towson University)
  • FAIR4AI-Bio: AI-Ready Data Infrastructure for Ecology and Biodiversity. Eric Sokol (NEON, Battelle), Elizabeth Campolongo (The Ohio State University), Matthew Thompson (The Ohio State University), Robert Guralnick (University of Florida), Christine Laney (Battelle), Hilmar Lapp (Neuromatch), Max Tarjan (NatureServe), Alexander White (Smithsonian Institution) and Tanya Berger-Wolf (The Ohio State University)
  • Legibility as Infrastructure: RAG Pipelines for Public Flood Decision Making. Jawwad Shadman Siddique (Oregon State University)
  • Media-Derived Knowledge Graphs for Geospatial Mapping of Illicit Wildlife Trade as Analysis-Ready Convergence Infrastructure. Hashir Tanveer (Worcester Polytechnic Institute), Ashleigh Price (University of Maryland), Kyumin Lee (Worcester Polytechnic Institute), Renata Konrad (Worcester Polytechnic Institute), Meredith Gore (University of Maryland) and Diego Cardeñosa (Florida International University)

Breakout Groups (45 minutes)

• • Group A — Readiness & usability of source data (Lead: Chhaya Kulkarni)
  • Group B — FAIR & bidirectional data infrastructure (Lead: Eric Sokol)
  • Group C — Legibility & decision support (Lead: Jawwad Shadman Siddique)
  • Group D — Knowledge graphs & event extraction (Lead: Hashir Tanveer)

Reporting Back (20 minutes)