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Friday, November 5th, 2021, EST Time
Organizing Committee
Erik Blasch (USAF) Co-chair, Mihai Boicu (GMU) Co-chair
Nathaniel D. Bastian (USMA), Lashon Booker (MITRE), Michael Garris (MITRE), Mark Greaves (PNNL), Michael Majurski (NIST), Kathy McNeill (DoL), Tien Pham (ARL), Alun Preece (Cardiff University),
Ali Raz (GMU), Peter Santhanam (IBM), Jim Spohrer, Frank Stein, Utpal Mangla (IBM)
9:00 - 9:15
Opening Remarks
Opening Remarks
Co-chair: Mihai Boicu (GMU)
Invited Talk: Alun Preece
Introduced by: Mihai Boicu
9:15 - 10:05
Coalition Situational Understanding Via Adaptive, Trusted and Resilient Distributed Artificial Intelligence Analytics
Coalition Situational Understanding Via Adaptive, Trusted and Resilient Distributed Artificial Intelligence Analytics
Alun Preece (Cardiff)
https://dais-legacy.org/1d04/ and https://dais-legacy.org/1c16/
Session: AI Applications 1 (Agriculture, Health, Intelligence)
Session Chair: Mihai Boicu
10:15 - 10:45
Sai Gurrapu, Feras Batarseh, Pei Wang, Md Nazmul Kabir Sikder, Nitish Gorentala and Gopinath Munisamy
DeepAg: Deep Learning Approach for Measuring the Effects of Outlier Events on Agricultural Production and Policy
DeepAg: Deep Learning Approach for Measuring the Effects of Outlier Events on Agricultural Production and Policy
Presented by: Sai Gurrapu, Feras Batarseh (VT)
10:45 - 11:15
Sekou Remy, Aisha Walcott Bryant, Nelson Bore, Charles Wachira and Julian Kuehnert
Overcoming Digital Gravity when using AI in Public Health Decisions
Overcoming Digital Gravity when using AI in Public Health Decisions
Presented by: Sekou Remy (IBM)
11:15 - 11:45
Gheorghe Tecuci, Dorin Marcu, Louis Kaiser and Mihai Boicu
Shared Model of Sense-making for Human-Machine Collaboration
Shared Model of Sense-making for Human-Machine Collaboration
Presented by: Gheorghe Tecuci (GMU)
Invited Talk: Cyntia Rudin
Introduced by: Frank Stein
12:00 - 12:50
Scoring Systems: At the Extreme of Interpretable Machine Learning
Scoring Systems: At the Extreme of Interpretable Machine Learning
Cyntia Rudin (Duke)
Session: AI Policy (Certification, Transparency)
Session Chair: Mihai Boicu
13:00 - 13:30
Erik Blasch, Zheng Liu and Junchi Bin
Certifiable Artificial Intelligence Through Data Fusion
Certifiable Artificial Intelligence Through Data Fusion
http://arxiv.org/abs/2111.02001
Presented by: Erik Blasch (AF)
13:30 - 13:45
Andong Li Zhao, Andrew Paley, Rachel Adler, Harper Pack, Sergio Servantez, Alexander Einarsson, Cameron Barrie, Marko Sterbentz and Kristian Hammond
Requirements for Open Political Information: Transparency Beyond Open Data
Requirements for Open Political Information: Transparency Beyond Open Data
Presented by: Andong Li Zhao (Northwestern)
Session: AI Applications 2 (Energy, Security, Decision Support)
Session Chair: Frank Stein
14:00 - 14:30
Haoran Li, Zhihao Ma, Yang Weng and Erik Blasch
Powerful Use of AI in the Energy Sector: Fast and Intelligent Forecasting of Power System Events
Powerful Use of AI in the Energy Sector: Fast and Intelligent Forecasting of Power System Events
http://arxiv.org/abs/2111.02026
Presented by: Erik Blasch (AF)
14:30 - 15:00
Luke Richards, Andre Nguyen, Ryan Capps, Steven Forsythe, Cynthia Matuszek and Edward Raff
Adversarial Transfer Attacks With Unknown Data and Class Overlap
Adversarial Transfer Attacks With Unknown Data and Class Overlap
https://arxiv.org/abs/2109.11125
Presented by: Luke Richards (BAH)
15:00 - 15:30
Ralph Badinelli
Orchestration of Analytics for Smart Decision Support
Orchestration of Analytics for Smart Decision Support
Presented by: Ralph Badinelli (VT)
Session: AI in Government
Session Chair: Mihai Boicu
15:45 - 16:15
David Bierbrauer, Will Kritzer, Alexander Chang and Nathaniel Bastian
Cybersecurity Anomaly Detection in Adversarial Environments
Cybersecurity Anomaly Detection in Adversarial Environments
https://arxiv.org/abs/2105.06742
Presented by: David Bierbrauer (Westpoint)
16:15 - 16:30
Christos Makridis, Tim Strebel, Rafael Fricks and Gil Alterovitz
Real-time Human-in-the-Loop Decision-making in the Public Sector: Evidence from the Department of Veterans Affairs
Real-time Human-in-the-Loop Decision-making in the Public Sector: Evidence from the Department of Veterans Affairs
Presented by: Christos Makridis (VA)
16:30 - 16:45
Ezekiel Maier
Advancing Artificial Intelligence and Machine Learning in the U.S. Government Through Improved Public Competitions
Advancing Artificial Intelligence and Machine Learning in the U.S. Government Through Improved Public Competitions
Presented by: Ezekiel Maier (BAH)
16:45 - 17:15
Joel Nantais and William Frankenstein
Catalyzing AI-Driven Decision-Making at the Department of State
Catalyzing AI-Driven Decision-Making at the Department of State
Presented by: Joel Nantais and William Frankenstein (DoS)
17:15 - 17:30
Ending Remarks
Ending Remarks
Co-chair: Erik Blasch (AF)
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