N
At a glance
Research interests
theoretical computer science, game theory & social choice ; computational economics, voting theory, resource allocation, fair algorithmic decision-making, incentives in multi-agent systems including blockchain and machine learning environments
About
Biography
Nisarg Shah is Associate Professor at the University of Toronto, affiliated with Computer Science. This summary considered 2 collected sources. Listed research or teaching areas include theoretical computer science, game theory & social choice ; computational economics, voting theory, resource allocation, fair algorithmic decision-making, incentives in multi-agent systems including blockchain and machine learning environments.