 |
| ISID conducted the ICSSR-sponsored Ten-Day Research Methodology Course on “Large-Specialised Datasets and Econometric Applications” for MPhil, PhD, and Post-Doctoral research scholars at its premises in New Delhi, from November 10–20, 2025. The programme was conceptualised in response to the growing availability of large public datasets and the need to enhance their effective utilisation. It aimed to strengthen participants’ theoretical foundation and applied research skills through intensive training in quantitative research methods, with particular focus on industrial, labour, household, spatial, and other specialised datasets. The programme also covered advanced econometric techniques, including panel data analysis, productivity estimation, time-series forecasting, and input–output analysis. It comprised 40 in-person sessions delivered by eminent academicians and scholars, complemented by hands-on exercises and participant research presentations. A total of 43 scholars from diverse disciplines and institutions across 23 Indian states participated in the course. The programme was coordinated by Dr Shailender Hooda, Associate Professor, ISID, and Dr Ajit Kumar Jha, Assistant Professor, ISID. The valedictory session of the course presided over by Prof Nagesh Kumar, Director, ISID, and Dr Abhinav Piyush, Deputy Director (Research), ICSSR witnessed encouraging feedback from participants. |
 |
| The Institute for Studies in Industrial Development (ISID), New Delhi is organizing a Ten-Day Research Methodology Course for Social Science (M.Phil./Ph.D./PDF) Research Scholars on “Large-Specialized Datasets and Econometric Applications” sponsored by the Indian Council of Social Science Research (ICSSR), to be conducted physically during November 10-20, 2025 at ISID, New Delhi.
The programme has been designed to cover (i) special thematic lectures; (ii) significance of Indian knowledge systems; (iii) research ethic, design, writings and publications, e-library training; (iv) introduction and application of industrial (ASI, PROWESS, ASUSE, UES), labour force and household survey databases (EUS, PLFS, HCES, CPHS) using statistical software; (v) working with spatial and specialised datasets (SUT, KLEMS, Nightlight, Big Data, Machine Learning); and (vi) quantitative techniques and econometrics applications such as productivity estimation, dynamic panel data analysis, forecasting using time-series, model specification and diagnostic testing, issues of endogeneity, controlled experiment, and input-output analysis. The course will be conducted in physical mode. Outstation candidates will be given to-and-fro AC 3-Tier Train fare travelled by shortest route. All candidates will be provided free accommodation and food and no course fee. |
|
Interested candidate may apply online using the google form (https://forms.gle/9TwgR2rmUwwpnE288) Last Date for submission: on or before October 10, 2025. |
| Also published in the Economic & Political Weekly (EPW) — Vol LX, No 39, 27 Sep 2025, p. 68 |
|
For further details and queries contact: |