Swaprava Nath

Teaching, Research, Student Advising
IIT Kanpur

Swaprava is an Assistant Professor at the Department of Computer Science and Engineering, IIT Kanpur. After finishing his PhD from the Dept. of Computer Science and Automation, Indian Institute of Science, Bangalore, he has held postdoctoral positions in Indian Statistical Institute, New Delhi and Carnegie Mellon University. His research interest lies in the intersection of economics and computation, which has several applications in social, industrial and computational paradigms. Apart from academic positions, Swaprava also has experience in the industry. He has worked at Xerox Research Centre Europe and Cisco Systems India. He has been recipients of Fulbright-Nehru post-doctoral grant, Tata Consultancy Services PhD Fellowship, and the Honorable Mention Award of Yahoo! Key Scientific Challenges Program.

Principal Investigator

Further information

Projects within the Big Data Project/ Supervised students within the Big Data Project/ Anticipated projects
Research interest in relevance of the project
Field of Expertise
Selected publications
Complete list of publications
Contact details

Projects within the Big Data Project/ Supervised students within the Big Data Project/ Anticipated projects

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. 

Research interest in relevance of the project

  •  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. 

Field of Expertise

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

Selected publications

  •  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.

Contact details


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

Phone: +91 512 259 2003 

Maria Barbarossa
Shankar Prawesh