New Delhi: IIT Jodhpur has established a research group for the Center for Mathematical and Computational Economics (CMCE), which is part of the School of Artificial Intelligence and Data Science, to focus on AI applications to economics and economic theories.
The CMCE was formed in 2020 as a specialist section of the interdisciplinary School of Artificial Intelligence and Data Science.
Prof. Santanu Chaudhury, Director, IIT Jodhpur said, “Economics, through the integration of data science, AI and computational techniques, have become more enabled for quantitative analysis of economies and behaviour and interactions of economic agents. This new CoE at IIT Jodhpur will deeply engage itself in knowledge generation and capacity building programs in this area leading to new models of financial transactions, negotiations and market analysis. In the age of digital economy, this CoE, being unique in the country, will definitely make a significant impact in the country’s economic growth and policy outcomes.”
It is an interdisciplinary unit that brings together knowledge from computer science, engineering, mathematics, and statistics. The centre's mission is to increase knowledge of the changing nature of economics in the internet age.
According to the institute, Dr Dweepobotee Brahma, a faculty member associated with the centre, has earned a USD 20,000 scholarship from Google India for her current research works.
Faculty from IIT Delhi, IIM Bangalore, Ashoka University, Shiv Nadar University, Indian Statistical Institute Kolkata, IISER Bhopal, Maastricht University (the Netherlands), and Western Michigan University (US) are among the current CMCE research collaborators.
Dr Dweepobotee Brahma's research efforts at the IIT Jodhpur Center for Mathematical and Computational Economics include the cause and impact of socioeconomic factors on various health outcomes, early warning signals of diseases that might assist policymakers to create screening criteria, and so on.
Dr Ruhi Sonal uses common mathematical methods to examine how individuals make tactical decisions about joining networks and the larger context in which these networks form.
Implications of a minor alteration in an individual's views on a collective group decision. Dr Abhinaba Lahiri is also focusing on generalising current special-case solutions in preference aggregation challenges.
Game Theory, Mechanism Design, Market Design and Auctions, Social Choice, Decision Theory, Network Economics, Experimental Economics, and the application of Artificial Intelligence and Machine Learning techniques to economic issues are among the key research topic of CMCE.
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