Workshops / Seminars

National Seminar Workshop on Advanced Panel Data Analysis Workshop on Time Series and Panel Data

National Seminar on the Role of MSME Exports in Building Viksit Bharat

A National Seminar on “Role of MSME Exports in Building Viksit Bharat” was organized on 10th January 2025. A total of about 75 participants including various Export Promotion Councils, MSME Associations, Corporates, Start-up owners and Research Scholars participated and enriched the discussions in the seminar. The seminar also included a panel discussion on “Potential of MSMEs in Boosting Exports from India” As the country strives towards becoming a developed nation by 2047, it was recognized that enhancing the contribution of MSMEs to exports will be essential for achieving the ambitious export targets set for 2030.

Three-day workshop on 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐏𝐚𝐧𝐞𝐥 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬

The Research Division successfully conducted a three-day workshop on 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐏𝐚𝐧𝐞𝐥 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 from 28𝐭𝐡 – 30th 𝐌𝐚𝐲 2025. Dr. Kaushik Bhattacharjee, Associate Professor, IIFT Gity Campus and Mr. Varunn Kaushik, Manager Accenture provided the hands-on sessions and expert guidance to enhance scholars' and faculty members' capabilities in applying advanced panel data models.

Over 70 participants from reputed institutions such as Indian Institute of Management Amritsar, Indian Institute of Management Jammu, Shiv Nadar University, Birla Institute of Technology and Science, Pilani, NLU Jodhpur, NIT Kurukshetra, Institute of Rural Management (IRM), and more, participated in the workshop.

Five-day workshop on Time Series and Panel Data

The Institute successfully organized a five-day workshop on “Time Series and Panel Data” for its Ph.D. scholars from 28th February to 3rd March 2024 at the IIFT Delhi Campus. The workshop aimed to enhance scholars’ research capabilities by introducing advanced econometric techniques for analyzing temporal and longitudinal data. Through interactive discussions and hands-on sessions, participants deepened their understanding of modern analytical methods.