Spliddit is a not-for-profit academic endeavor. Its mission is twofold:
- To provide easy access to carefully designed fair division methods, thereby making the world a bit fairer.
- To communicate to the public the beauty and value of theoretical research in computer science, mathematics, and economics, from an unusual perspective.
When we say that we guarantee a fairness property, we are stating a mathematical fact. In other words, there are formal proofs showing that each of our algorithms provides rigorous fairness guarantees. The surprising possibility of formulating fairness in mathematical terms is the beauty of the scientific field of fair division, and the force behind Spliddit.
Ariel Procaccia is an Assistant Professor in the Computer Science Department at Carnegie Mellon University. He usually works on problems at the interface of computer science and economics. Besides computational fair divison, some of his current research interests include computational social choice, and its applications to crowdsourcing and human computation; computational game theory, and its applications to physical security and cybersecurity; and computational mechanism design, and its applications to kidney exchange. His distinctions include the IJCAI Computers and Thought Award (2015), the Sloan Research Fellowship (2015), the NSF Faculty Early Career Development Award (2014), and the IFAAMAS Victor Lesser Distinguished Dissertation Award (2009).
Jonathan Goldman received his B.S. in Computer Science from Carnegie Mellon University in 2015. He worked with Ariel as a research assistant from 2012 until his graduation, and developed Spliddit as part of his senior research thesis. Jonathan is currently working for Facebook.
Nisarg Shah is an Assistant Professor in the Department of Computer Science at the University of Toronto. He is broadly interested in algorithmic economics — theory and applications. His research covers topics such as computational social choice, fair division, multi-agent systems, game theory, and incentives in machine learning. His recent research has focused on exploring theoretical definitions of fairness in algorithmic decision making environments. Nisarg is the winner of the IFAAMAS Victor Lesser Distinguished Dissertation Award (2016), the Facebook Graduate Fellowship (2014-15), and the Hima and Jive Graduate Fellowship (2013-14).
David Kurokawa is a Ph.D. candidate in the Computer Science Department at Carnegie Mellon University, advised by Ariel Procaccia. His research focuses on the theory and practice of fair division; he has also worked in game theory and computational advertising. Prior to his CMU enrollment, his research focus was on numerical linear algebra and he worked at Amazon.
Hervé Moulin graduated in 1971 from the École Normale Supérieure in Paris, and received his Ph.D. in mathematics from the Université de Paris in 1975. He has taught at the École Nationale de la Statistique et Administration Économique, University of Paris at Dauphine, Virginia Polytechnic Institute and State University, Duke University and Rice University. He is currently the DJ Robertson Chair in Economics at the University of Glasgow. He has been a Fellow of the Econometric Society since 1983, of the Economic Theory Society since 2012, and of the Royal Society of Edinburgh since 2015. He has written five books and over 100 peer-reviewed articles.