Algorithmics, Social choice, Market Design, and Other Topics

The 2020 AI 10 to Watch list has been announced. Special congrats to John, Nisarg, and Fei who all work at the intersection of game theory and AI!   This year's 10 to Watch: Tathagata Chakraborti  works on human-AI collaboration and explainable AI. His main invention was to formulate the explanation process of AI systems as one of reconciliation of the mental model of the human with that of the agent model. He is considered to be one of the leading experts in human-aware planning and interpretability of agent behavior. John Dickerson  is working where computer science, economics, and operations research meet. He has developed scalable batch clearing algorithms that were the basis for the kidney exchange plan in the U.S.: a perfect combination of theoretical AI with a life-saving real world application. Fei Fang  has combined machine learning with game theory to address the important problems faced by our society. As an example, in the problem of antipoaching, poacher...

  Pathways Between Social Science and Computational Social Science Theories, Methods, and Interpretations Editors: Rudas, Tamás, Péli, Gábor (Eds.) This volume shows that the emergence of computational social science (CSS) is an endogenous response to problems from within the social sciences and not exogeneous. The three parts of the volume address various pathways along which CSS has been developing from and interacting with existing research frameworks. The first part exemplifies how new theoretical models and approaches on which CSS research is based arise from theories of social science. The second part is about methodological advances facilitated by CSS-related techniques. The third part illustrates the contribution of CSS to traditional social science topics, further attesting to the embedded nature of CSS. The expected readership of the volume includes researchers with a traditional social science background who wish to approach CSS, experts in CSS looking for substantive li...

[Presentation at WAMD@IJCAI]