Workshop On Environometrics Using AI & Ml

This program aims to provide frameworks to optimize the use of natural resources, impact assessments of environmental changes, such as climate change, and evaluate environmental regulations. The workshop will redefine the field of investigation through critical enquiry, interdisciplinary integration, advanced causal inference methods and discourse complex challenges from local to global.

The Short-term Course aims to provide researchers with the necessary skills to apply environmental data and econometric techniques with advanced computational software practices effectively used in the dynamic fields of Economics and other branches of Social Sciences, emphasizing the importance of data-driven decision-making for impactful policymaking. This training program will aim:

• Through hands-on sessions and applications to recent databases, the workshop will cover fundamental, intermediate and advanced modelling techniques and modus operandi of multi-media, cross-section, time series and panel data analysis.
• Researchers in this field, including those in academia, industries, research bodies, and Government agencies will have a solid understanding of the econometric techniques best suited for analysis of environmental data.
• To introduce participants to the major databases in Ecological Economics, Natural Resource Management and Environmental Economics and other similar Social Science research, EPA, NOAA, USGS, UNEP, EEA, World Bank, IUCN, WRI, EDI, OGC, ecoinvent etc.