Impact Evaluation in Practice using R- Cohort 2.0

Impact Evaluation in Practice using R – Cohort 2.0 | An Online International Winter School Program | A Two-Month Immersive Online Introductory Hands-On Certificate Training Course | November-December 2024 | IMPRI #WebPolicyLearning 

#IMPRI Generation Alpha Data Center (GenAlphaDC), IMPRI Impact and Policy Research Institute, New Delhi, invites you to #WebPolicyLearning

An Online International Winter School Program
A Two-Month Immersive Online Introductory Hands-On Certificate Training Course on

Impact Evaluation in Practice using R – Cohort 2.0

Details of the #WebPolicyLearning:
Dates: Nov (16, 23, 30) & Dec (7, 14, 21, 28), 2024
Seven Consecutive Saturdays
Time: 11:30 am – 1:30 pm IST
Platform: Zoom

Key Highlights: Regression Analysis, Randomized Controlled Trials (RCTs), Panel Data Analysis, Difference in Difference (DiD), Regression Discontinuity, and Instrumental Variable (IV) Estimation

Course Fee: Professionals: INR 28000 | Students: INR 22000 (inclusive of GST)
Early Bird Discounted Fee (till Oct 16): Professionals: INR 23,500 | Students: INR 18,500
Special 20 percent discount for IMPRI Alumni.
Bulk Discounts can be availed for groups of more than 5 participants.
Limited Seats are available for partial scholarships. Write to learningatimpri@gmail.com

Registration Form: https://forms.gle/j9DwQXCAhqthoLkn8

Payment of Course Fee: https://pages.razorpay.com/impricoursefee
Alternatively, can use any payment method from here:
https://www.impriindia.com/payment-details/

NOTE: Please don’t proceed to pay without filling out the registration form given above.
For queries, write to: learningatimpri@gmail.com

About

Building on the success of our first cohort, we are excited to present the second edition- “Impact Evaluation in Practice using R.” Organized by the Generation Alpha Data Center (GenAlphaDC) at IMPRI Impact and Policy Research Institute, New Delhi, this advanced course is designed to deepen your understanding of impact evaluation with a focus on practical application using the R programming language. Whether you’re a researcher, policymaker, or professional aiming to enhance your data analysis skills, this course will equip you with the knowledge and tools necessary to conduct rigorous impact evaluations.

Throughout this course, participants will explore key concepts and methodologies used in impact evaluation, including Regression Analysis, Randomized Controlled Trials (RCTs), Panel Data Analysis, Difference in Difference (DiD), Regression Discontinuity, and Instrumental Variable (IV) Estimation. By the end of the course, you’ll have the skills to analyze complex datasets, interpret results accurately, and make evidence-based decisions that contribute to positive social and policy outcomes.

Our expert instructors will guide you through hands-on learning experiences, using real-world datasets to ensure that you gain practical, actionable insights. You’ll learn how to leverage R for data analysis, enabling you to measure the true impact of programs and interventions effectively.

Important Instructions: The first session of the course will be dedicated to downloading and setting up R Studio. Participants who are already familiar with R are encouraged to have it pre-downloaded before the session. Additionally, we will share a set of pre-readings in advance, which cover foundational concepts. We strongly encourage all participants to review these materials before the first session to maximize their learning experience.

For Whom:

Our course is designed for a diverse audience, including nonprofit leaders, government professionals, social entrepreneurs, development practitioners, educators, researchers, consultants, philanthropists, healthcare professionals, environmentalists, entrepreneurs, community leaders, students, and graduates. It caters to individuals across various sectors who aspire to build a foundation in impact assessment, contribute to positive change, and effectively measure and communicate the impact of their initiatives.

Benefits of taking the Course

1. Develop a deep understanding of impact assessment methodologies.
2. Gain knowledge from globally and nationally renowned thematic experts and practitioners.
3. Access valuable insights and build connections with professionals in the field.
4. Receive a course outline and a reading list prepared by experts.
5. Review and reinforce your learning with access to session recordings for 15 days.
6. Earn a certificate upon successful program completion.
7. Have the opportunity to publish their essays on the IMPRI Insights Blog, featuring contributions from eminent global thinkers.
8. Find your name in the Participants’ list published in IMPRI Insights and in the Event Outcome Report.

Program Experts

Mr Rakesh Pandey
Rakesh is a doctoral candidate in the Research, Analysis, and Design stream at the Pardee RAND Graduate School and an assistant policy researcher at the RAND Corporation. His research interests include behavioral economics, empirical development economics, and the political economy of public policy. Prior to joining Pardee RAND, he was a research manager J-PAL South Asia, where he oversaw the projects under the Behavioral Development Lab. He has also worked as a senior research associate on evaluation studies in education and energy markets at J-PAL South Asia and Quest Alliance. Rakesh holds an M.Sc. in economics from Trinity College Dublin.
He is also a Visiting Senior Fellow at Impact and Policy Research Institute (IMPRI), New Delhi

Ms Vasanthi Subramonia Pillai
Vasanthi is a PhD researcher in the Professorship of Behavioral Science for Disease Prevention and Health Care. She works at the intersections of behavioral and development economics. Her doctoral research involves applying behavioral economics to issues in global health and disease prevention. She has experience working with a range of other thematic areas such as poverty and cognition, habit formation in informal labor markets, and dynamics of political communication on WhatsApp. She also enjoys exploring questions in the fields of political economy, and gender and identity economics. Vasanthi holds a Masters in Economics from the University of Warwick.

Ms Ishita Ghai
Ishita Ghai is a fellow at the Pardee RAND Graduate School and an assistant policy researcher at RAND. Over the last ten years, she has worked on a variety of projects focused on health behaviors, as well as education in low and middle income countries (LMICs) spanning Africa and southeast Asia. At RAND, she primarily manages pilot and large-scale randomized control trials (RCTs) focused on testing a variety of interventions geared toward improving uptake of screening services for cervical cancer and HIV, improving uptake and use of ORS and zinc to treat child diarrhea, and improving long-term adherence to anti-retroviral therapy (ART) among people living with HIV/AIDS (PLHIV). She has extensive experience working with network-based data as well as healthcare service utilization datasets.

Program Time Structure

Convenors:

Prof Mukul Asher, Visiting Distinguished Professor, IMPRI
Prof Vibhuti Patel, Visiting Distinguished Professor, IMPRI
Dr Soumyadip Chattopadhyay, Associate Professor, Economics, Visva-Bharati, Santiniketan; Visiting Senior Fellow, IMPRI
Prof Nilanjan Banik, Professor and Program Director (BA, Economics and Finance), Mahindra University, Hyderabad; Visiting Consultant, IMPRI
Prof Nalin Bharti, Visiting Professor, IMPRI; Professor, IIT Patna
Prof Gummadi Sridevi, Visiting Professor, IMPRI; Professor, School of Economics, Hyderabad Central University
Dr Devender Singh, Visiting Senior Fellow, IMPRI
Dr Simi Mehta, CEO & Editorial Director, IMPRI
Dr Arjun Kumar, Director, IMPRI

Previous similar programs:

Power BI Essentials for Impact Assessment | October 2024
DAPRF Data Analytics for Policy Research Fellowship | September 2024
Data, Monitoring and Evaluation- Cohort 2.0 | July 2024
Data Analytics for Policy Research – Cohort 3 | April 2024
Impact Evaluation in Practice | December 2023
Data Analytics for Policy Research – Cohort 2 | November 2023
Data, Monitoring and Evaluation | June-July 2023
Data Analytics for Policy Research | October-November 2022
Exploratory Data Analysis with Categorical Variables Regression Models: Dummy Variables and Logit/Probit using Eviews | December 2022

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Upcoming and Previous IMPRI #WebPolicyLearning Events: See here