Swaprava Nath is looking for collaboration in the area of Computer Science applied to the social choice problems. These problems often produce large amount of data, and to analyse, economic and computational tools are needed. Some examples are in the area of smart city design (curbing pollution via ridesharing), smart education (via peer grading) etc. Swaprava Nath has graduate students working in this area, who can continue these projects. 

•  Scholars from various disciplines such as economics and computer science have recently started applying insights from markets, algorithms, and mechanism design for significant societal impact. The objective is to not only analyse markets and economic interactions but to actively try and improve design of such institutions, and a key ingredient there is collection and dissemination of large data. For instance, massive open online courses help in bringing education from top institutes to students all across the globe. A major limitation for such large courses with limited teaching staff is to grade students at such a scale. Peer grading is a method that holds much promise in reducing the burden of the instructors (who can now offer such courses more often). But since it involves the students grading each other, it offers challenges in terms of grading quality, ethics, and integrity. To address these challenges, it is necessary to blend ideas of game theory and algorithms, and we have a working paper on this topic. 
• There are large market inefficiencies in agricultural markets in developing nations. One consequence of these inefficiencies are the presence of large number of middlemen in the agricultural sector. The presence of such middlemen leads to both higher prices for the consumers as well as lower prices for the farmers themselves. With the advent of the Internet, it is now possible to design online platforms to bring the farmers and the consumers directly in contact. One such example in the Indian setting is Rashtriya e-Market Services (ReMS) developed by the Karnataka government. However, the participation in such markets is still quite low and they also involve intermediaries as before. In order to improve the functioning of such markets and make it more widespread, it is important to understand how to reduce transaction costs or barriers to entry and improve efficiency, liquidity and participation. Swaprava Nath’s goal is to first develop a model of reputation system taking into account the specific institutional features of the agricultural market. 

• Game Theory and Mechanism Design
• Artificial Intelligence
• Economics
• Computation 

•  Truthful Peer Grading with Limited effort from experts. Anujit Chakraborty, Jatin Jindal, Swaprava Nath, working paper, 2018.
   
• Efficiency and Budget Balance in General Quasi-linear Domains, Swaprava Nath and Tuomas Sandholm, Games and Economic Behavior (GEB), 2019
   
• Surprise in Elections, Palash Dey, Pravesh K. Kothari, and Swaprava Nath, ACM India Joint International Conference on Data Science & Management of Data (CoDS-COMAD), ACM, 2019 
•  Truthful mechanisms for ownership transfer with expert advice
  Ioannis Caragiannis, Aris Filos-Ratsikas, Swaprava Nath, and Alexandros A. Voudouris 
  Workshop on Opinion Aggregation, Dynamics, and Elicitation (WADE)
  In conjunction with ACM Conference on Economics and Computation (EC), 2018. 
•  A Game-Theoretic Formalism of Human Partial Adaptation: Models and Experiments
  Stefanos Nikolaidis, Swaprava Nath, Ariel Procaccia, and Siddhartha Srinivasa 
  ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 323-331. ACM, 2017. 

https://www.cse.iitk.ac.in/users/swaprava/research.html

Address:

KD 224, Dept of CSE
IIT Kanpur
Kanpur, India 208016 

Phone: +91 512 259 2003