AAAI-17 Workshop on AI and OR for Social Good (AIORSocGood-17)


The purpose of the workshop is to explore and promote the application of Artificial Intelligence (AI) and Operations Research (OR) for purposes of social good. There has been strong historical interest from both the AI and OR communities on this topic with a burst of AI activity in recent years in topics such as smart grids and optimized transport systems (both as part of a greater computational sustainability effort) while the OR community has long supported areas such as Public Sector OR (PSOR).

The workshop will place a special emphasis on bringing together members of the AI and OR communities who have been actively involved in addressing challenge problems for social good as well as the AI and OR technologies required to support their approach.

Schedule (Saturday, Feb 4, 2017, Hilton San Francisco, Union Square 17-18)

9:00-9:05 Welcome and Opening Remarks

9:05-10:30 Session on Transport and Crime

9:05-9:40: Invited Talk: Milind Tambe, University of Southern California, "How Can AI be Used for Social Good? Key Techniques, Applications, and Results"

9:40-9:50: Chang Liu, J. Christopher Beck and Dionne Aleman, "The Senior Transportation Problem" (Challenge Problem)

9:50-10:10: Abhinav Jauhri, Brian Foo, Jerome Berclaz, Chih Chi Hu, Radek Grzeszczuk, Vasu Parameswaran and John Shen, "Space-Time Graph Modeling of Ride Requests Based on Real-World Data"

10:10-10:30: David Savage, Xiuzhen Zhang, Pauline Chou, Xinghuo Yu and Qingmai Wang, "Detection of Money Laundering Groups: Supervised Learning on Small Networks"

10:30-10:45 Coffee Break

10:45-12:20 Session on Medicine and Health

10:45-11:20: Invited Talk: Finale Doshi-Velez, Harvard University, "AI for Healthcare"

11:20-11:40: John P. Dickerson, Aleksandr M. Kazachkov, Ariel Procaccia and Tuomas Sandholm, "Small Representations of Big Kidney Exchange Graphs"

11:40-12:00: Gabriele Farina, John P. Dickerson and Tuomas Sandholm, "Inter-Club Kidney Exchange"

12:00-12:20: Cen Chen, Zachary Rubinstein, Stephen Smith, and Hoong Chuin Lau, "Achieving Near-optimal Solutions for Large-scale Home Health Care Scheduling Problem"

12:20-14:00 Lunch Break

14:00-15:35 Session on Environment and Infrastructure

14:00-14:35: Invited Talk: Daniel Sheldon, University of Massachusetts Amherst and Mount Holyoke College, "AI for Ecology and Conservation"

14:35-14:55: Sean Mcgregor, Rachel Houtman, Claire Montgomery, Ronald Metoyer and Thomas Dietterich, "Factoring Exogenous State for Model-Free Monte Carlo"

14:55-15:15: Yiqun Xie, Kwangsoo Yang, Shashi Shekhar, Brent Dalzell and David Mulla, "Spatially Constrained Geodesign Optimization (GOP) for Improving Agricultural Watershed Sustainability"

15:15-15:35: Rui Zhang, Jefferson Huang and Tarun Kumar, "Preventive Leak Detection for High Pressure Gas Transmission Networks"

15:35-15:50 Coffee Break

15:50-17:25 Session on Social Services

15:50-16:25: Invited Talk: Mark Fox, CSSE, University of Toronto, "Measuring Social Good"

16:25-16:45: Daniela Rosu, Dionne Aleman, Christopher Beck, Mark Chignell, Mariano Consens, Mark Fox, Michael Gruninger, Chang Liu, Yi Ru and Scott Sanner, "Knowledge-based Provision of Goods and Services for People with Social Needs: Towards a Virtual Marketplace"

16:45-17:05: Yuan Gao, Sanmay Das and Patrick Fowler, "Homelessness service provision: A data science perspective"

17:05-17:15: Bart Gajderowicz, Mark Fox and Michael Gruninger, "Requirements for Emulating Homeless Client Behaviour"

17:15-17:25: Yetian Wang and Mark Fox, "Households, The Homeless and Slums Towards a Standard for Representing City Shelter Open Data"

Organizing Committee

Scott Sanner, University of Toronto
Thomas G. Dietterich, Oregon State University
Stephen F. Smith, Carnegie Mellon University
Pascal Van Hentenryck, University of Michigan

Important Dates

  • Submission deadline: November 15, 2016
  • Notification date: November 18, 2016
  • Camera-ready to AAAI: December 15, 2016
  • Workshop date: February 4, 2017 (one day)

Call for Submissions (Deadline has passed)

Applications areas include (but are not limited to)
  • sustainable cities
  • smart government and social services
  • public service organizations
  • emergency preparedness
  • disaster response
  • public health
  • humanitarian programs 
along with any AI and OR techniques applied to these areas including (but not limited to)
  • machine learning and data science
  • constraint optimization and constraint programming
  • planning and scheduling (under uncertainty)
  • computational economics

Submission Procedure (Deadline has passed)

We welcome previously unsubmitted work, papers submitted to the main AAAI conference, and papers reporting research already published provided they align well with the workshop topic.  

Three types of submissions are solicited:
  1. full-length papers (up to 6 pages + 1 page for references in AAAI format)
  2. challenge or position papers (2 pages + 1 page for references in AAAI format)
  3. already published papers (1 page: an abstract in AAAI format with a link to the full paper)
Paper Submissions should be made through the workshop EasyChair web site:

Related Links