Amrita’s Center for Gender Equality and Women’s Empowerment is hosting a unique summer school for social science researchers August 20-27, 2018 at Amrita Vishwa Vidyapeetham, Amritapuri. This week-long summer intensive “Research Methodology with R for the Social Scientist” will equip participants with the critical skills needed to define and develop a finite and “doable” research question. The summer school is coordinated by Amrita Vishwa Vidyapeetham, the University of Groningen, Netherlands and the University of Maryland, U.S.A.

The methodologies will be quantitative and students will learn to use the open source statistical program “R” and RStudio. The session includes a fully immersive field excursion and data collection exercises in Amrita SeRVe rural and tribal villages in Kerala.

The goal of the summer school is to provide researchers in social science and management the skills to define and develop a finite and 'doable' research question.


  • How to match data collection skills and approaches, and overall methodology to a particular research question
  • To use quantitative methodologies using the statistical software program 'R'
  • Data habits that will help us revise our work efficiently and make it replicable

A fully immersive field excursion will be arranged midway through the course where you will practice data collection skills in a rural or tribal village in Kerala.

This summer school will take place on the beautiful Amritapuri campus of Amrita Vishwa Vidyapeetham, Amritapuri situated in the backwaters of Kerala, India. This workshop brings together participants from Europe, the United States, and India.

Venue : Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kerala, India

To Apply Visit Here

Course Info


During this week we will learn ‘data habits’ that will help us revise our work efficiently and make it replicable. Larger teams of researchers, and more complex datasets that are used for multiple projects imply the need for better documentation and better organization of data and analyses. We will learn to implement and interpret some commonly used statistical and econometric techniques. To achieve this, we focus on examples where country, firm level, community or individual level data are common units of analysis. We will also discuss all aspects of data work, for example, well-designed folder structures, good data habits like separating data creation files from analysis files (so that we do not change data while running estimations making our work un-replicable). We will learn how to work efficiently and accurately during the initial stages of the research process when we go from raw data to data that can be analysed. The in-class learning experience includes a field excursion where we will practice data collection skills in a rural setting in a selected area surrounding our host university.


Upon leaving the week, participants will have an increased insight into the research process, the nature of quantitative methodologies, and the tools to help them find and implement the appropriate methodology to their research question. They will have an increased familiarity with the statistical software R. Also, they would gain the experience of field research in a rural setting in India.


Full attendance at all modules is required to obtain the participation certificate.


Mr. Sandeep Pillai

Sandeep is a 4th year Ph.D. student at the Smith School of Business, University of Maryland. His research explores mechanisms that operate during the nascent stages of industries. He currently focuses on employing historical methods and quantitative analysis to examine the evolution of the nascent U.S. automobile industry (1895-1923) using hand-collected data from paper archives housed at the major automotive history museums.

Before joining the Ph.D. program, Sandeep completed his Bachelor of Applied Science (Electrical Engineering) and Master of Engineering degrees from the University of Waterloo (Canada), and the MBA at the Rotman School of Management (University of Toronto, Canada). Sandeep has worked in the electrical utility sector (Canada) for five years.

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Dr. Padma Rao Sahib

Padma Rao Sahib is assistant professor at the Department of Global Economics and Management and research fellow at the SOM research school at the Faculty of Economics and Business at the University of Groningen, the Netherlands.

After graduating from high school from Sardar Patel Vidyalaya in New Delhi, India, she completed her bachelor degree in Statistics and Economics at George Washington University and her master and PhD from Cornell University in the United States. Her main research interests are in merger and acquisition processes but she has also been involved in impact evaluation studies of projects conducted by NGOs in rural parts of India. Padma has been teaching statistics, econometrics and research methods for close to 20 years at the University of Groningen and prior to this at Concordia University in Canada and has taught summer schools like this at the Vienna University of Economics and Business in Austria. Her research has been published in journals such as the Journal of International Business Studies, Strategic Management Journal, Journal of Business Ethics and the Journal of World Business.

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Dr. Padma Rao Sahib
Department of Global Economics and Management
Faculty of Economics and Business
University of Groningen

Mr. Sandeep Pillai
Smith School of Business
University of Maryland
College Park, Maryland

Monday, May 7, 2018 - 10:15
Event Details
2018-08-20 09:00 to 2018-08-27 17:00
Center for Gender Equality and Women Empowerment
NIRF 2018