Invited Talk Details


Invited Talk 1 (AI for Sustainability and Public Health)

Speakers: Carla Gomes (Cornell University) & Henry Kautz (University of Rochester)
Bio: Carla Gomes is a professor of Computer Science at Cornell University and the director of the Cornell Institute for Computational Sustainability. She is the lead PI of an NSF Expeditions in Computing, establishing and nurturing the new field of Computational Sustainability. Gomes is a Fellow of AAAS and AAAI.
Henry Kautz is the Robin & Tim Wentworth Director of the Goergen Institute for Data Science and Professor in the Department of Computer Science at the University of Rochester. He has served as department head at AT&T Bell Labs in Murray Hill, NJ, and as a full professor at the University of Washington, Seattle. He is a Fellow of the AAAS, ACM, and AAAI.
Abstract of talk : Two real, immediate existential threats facing humanity are, first, the exhaustion of the earth’s physical and biological resources, and second, global contagion. AI will play a major role fighting both threats. In the first part of the talk, we will provide an overview of work in computational sustainability, an interdisciplinary research field with the overarching goal of developing computational models, methods, and tools for sustainable development. We will highlight crosscutting computational themes and research questions that have led to new CS/AI techniques. In the second part, we will describe how the billions of users of social media users unconsciously form a living sensor network, whose information can be datamined in order to track, predict, and prevent disease at a global scale.

Invited Talk 2 (AI for the Social Sciences)

Speakers: Eric Rice (USC School of Social Work) & Sharad Goel (Stanford University)
Bio: Eric Rice is an associate professor at the University of Southern California in the Suzanne Dworak-Peck School of Social Work. He is the founding co-director of the USC Center for Artificial Intelligence in Society, a center which is a joint venture with the Viterbi School of Engineering. Dr. Rice received his PhD in 2002 from Stanford University. He is an expert in social network and community-based research. His primary focus is on youth experiencing homelessness. Since 2002, Dr. Rice has worked closely with homeless youth providers in Los Angeles and in many other communities across the country to develop novel solutions to end youth homelessness and support young people across the nation who experience homelessness.
Sharad Goel is an Assistant Professor at Stanford in the Department of Management Science & Engineering (in the School of Engineering) with courtesy appointments in Sociology and Computer Science. His primary area of research is computational social science, an emerging discipline at the intersection of computer science, statistics, and the social sciences. He is also particularly interested in applying modern computational and statistical techniques to understand and improve public policy.
Abstract of talk : This talk will focus on the potential for AI to bring about social good. While the public frets over a future threat of killer robots or the dream of a driverless car, computer scientists and social scientists can engage in novel solutions to vexing social problems today. There are a vast number of societal challenges that can be addressed using artificial intelligence. We will provide insights into how AI can inform social good and what problems and techniques can used, with a special emphasis on the promise of trans-disciplinary work.





Session Details


Talk Session 1 (Healthcare)
Session Chair: Dr. Eric Horvitz

  1. Lanbo She and Jonathan Connell, Teaching and Checking of Constraints for Surgical Tray Layout
  2. Malay Bhattacharya, In Search of Health Doubles
  3. Arnaud Delaunay and Jean Guerin, Wandering Detection Within an Embedded System for Alzheimer Suffering Patients
  4. Bo Li, Yevgeniy Vorobeychik, Muqun Li and Bradley Malin, Sanitizing Large-Scale Medical Records Before Publishing

Talk Session 2 (Social Welfare)
Session Chair: Dr. Eric Rice

  1. Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice, Milind Tambe, Uncharted but not un-influenced: Influence Maximization with an Uncertain Network
  2. Amulya Yadav, Bryan Wilder, Robin Petering, Eric Rice, Milind Tambe, Influence Maximization in the Field: The Arduous Journey from Emerging to Deployed Application
  3. Debarun Kar, Benjamin Ford, Shahrzad Gholami, Milind Tambe, Andrew Plumptre, Cloudy with a Chance of Poaching: Adversary Behavior Modeling and Forecasting with Real-World Poaching Data
  4. Ayan Mukhopadhyay, Chao Zhang, Yevgeniy Vorobeychik, Milind Tambe, Kenneth Pence and Paul Speer, Optimal Allocation of Police Patrol Resources Using a Continuous-Time Crime Model
  5. Virginia Dignum and Frank Dignum, Societal Challenges need Social Agents

Talk Session 3 (Urban Planning)
Session Chair: Dr. Virginia Dignum

  1. Sujoy Chatterjee, Anirban Mukhopadhyay and Malay Bhattacharyya, Smart-City Planning with Constrained Crowd Judgment Analysis
  2. Syed Ali Asad Rizvi, Elmarie van Heerden, Arnold Salas, Favour Nyikosa, Stephen Roberts, Michael Osborne and Elmer Rodriguez, Identifying Sources of Discrimination Risk in the Life Cycle of Machine Intelligence Applications under New European Union Regulations
  3. Daniela Rosu, Dionne M. Aleman, Christopher Beck, Michael Gruninger, Mark Fox, Mark Chignell, Mariano Consens, Yi Ru, Scott Sanner and Chang Liu, Knowledge-based Provisioning of Goods and Services: Towards a Virtual Social Needs Marketplace
  4. Amin Ghafouri, Aron Laszka, Abhishek Dubey and Xenofon Koutsoukos, Optimal Detection of Faulty Traffic Sensors Used in Route Planning
  5. Karen Judd Smith, The AI Community and the United Nations: A Missing Global Conversation

Talk Session 4 (Computational Sustainability)
Session Chair: Dr. Fei Fang

  1. Jennifer Sleeman, Milton Halem, Tim Finin and Mark Cane, Machine Learning the Temporal Evolution of Climate Change Assessment Research Using Dynamic Topic Models and Cross-Domain Divergence Maps
  2. Jason Parham, Jonathan Crall, Charles Stewart, Tanya Berger-Wolf and Daniel Rubenstein, Animal Population Censusing at Scale with Citizen Science and Photographic Identification
  3. Zhiyu Wan, Yevgeniy Vorobeychik, Weiyi Xia, Ellen Clayton, Murat Kantarcioglu and Bradley Malin, Game Theory Can Expand Access to Genomic Data While Promoting Privacy
  4. Sara Marie Mc Carthy, Milind Tambe and Chris Hallam, PAWS-LITE: Extending the Deployment of Game Theoretic Applications for Environmental Crime Prevention
  5. Neetu Pathak, Michael Henry and Svitlana Volkova, Understanding Social Media’s Take on Climate Change through Large-Scale Analysis of Targeted Opinions and Emotions

Talk Session 5 (Miscellaneous)
Session Chair: Amulya Yadav

  1. Aron Laszka, Waseem Abbas, Shankar Sastry, Yevgeniy Vorobeychik and Xenofon Koutsoukos, Optimal Thresholds for Intrusion Detection Systems
  2. Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic and Kush Varshney, From Data Analyses to Dataflow Graphs
  3. Oliver Bendel, Kevin Schwegler and Bradley Richards, Towards Kant Machines
  4. Oliver Bendel, LADYBIRD: the Animal-Friendly Robot Vacuum Cleaner
  5. Erisa Karafili, Antonis C. Kakas, Nikolaos I. Spanoudakis and Emil C. Lupu, Argumentation-based Security for Social Good
  6. Mahendra Prasad, Back to the Future: A Framework for Modelling Altruistic Intelligence Explosions