DAPRF Data Analytics for Policy Research Fellowship- Cohort 4.0 by IMPRI 5375 5375 people viewed this event. #IMPRI Generation Alpha Data Center (GenAlphaDC), IMPRI Impact and Policy Research Institute, New Delhi, invites you to #WebPolicyLearning DAPRF Data Analytics for Policy Research Fellowship- Cohort 4.0 Apply Now Turn data into insight—lead with analytics in policy and governance. ​Learning, Training, Capacity Building, Interactions​ & Networking with Leading Experts with Flexibility Fellowship Project- Blog, Creative Presentation, ISBN Book Chapter Publication Opportunities Timeline An Online National Summer School ProgramA Four-Month Online Immersive Hands-On Certificate Flexible Training Fellowship Program March-July 2026 Details of the #WebPolicyLearning: The fellowship duration is a total of 4 months. The first 12 weeks comprise weekly two-hour Zoom classes covering both technical and program sessions. The next 3 weeks are dedicated towards the finalisation of the fellowship project. Live Sessions with Experts & Program Team- Dates: March 21 – June 6, 2026Twelve Consecutive Saturdays Time: 11 am – 1 p.m. ISTPlatform: Zoom Fellowship Project Timeline- Blog Article Submission: 11 May, 2026To be published on the IMPRI Insights Blog. Creative Presentation: 30th May & 6th June, 2026To be presented live on IMPRI’s YouTube Channel–Fellows Presentation Playlist. Book Chapter Publication MilestonesA structured pathway for the fellowship project culminating in the final publication to be published by IMPRI Books in an IMPRI ISBN Edited Volume titled the Anthology of Essays. Abstract Submission: 20 April, 2026Fellowship Project Discussion: Throughout the fellowshipExtended Abstract Submission: 25 May, 2026Draft Final Chapter Submission: 13 June, 2026Final Book Chapter (Post-Review): 4 July, 2026 Note: Detailed session dates & time will be shared via the Guidelines Document. Registration & Scholarships Registration form link: https://forms.gle/wMSZ8y2AQm5rQPM89 Course Fee in INR (inclusive of GST): Professionals Students Early Bird Discounted Fee (till March 7th) 30,000 20,000 After Early Bird 35,600 26,400 Special 20 percent discount for IMPRI Alumni. Bulk Discounts can be availed for groups of more than 5 participants. IMPRI Alumni can avail benefits through the IMPRI Referral Policy for Alumni & Friends. Payment of Course Fee: https://pages.razorpay.com/impricoursefeeAlternatively, can use any payment method from here: https://www.impriindia.com/payment-details/ Scholarship Details To apply for the scholarships, please complete theScholarship Form link: https://forms.gle/E6cxBtazpwi5LLrQ7 Category Number of Seats Scholarship Details Fee/Benefit Fellowship Batch Size 28 Total number of participants in the cohort — Merit Scholarship 4 Awarded to top-performing applicants based on merit Join at a nominal token fee of INR 9,600 Partial Scholarship 8 Granted to deserving candidates based on merit and need Up to 40% discount on the course fee Last Date to Apply: March 7th, 2026Notification: Selected candidates will be informed via email. About, Objectives & For Whom The Data Analytics for Policy Research Fellowship (DAPRF) – Cohort 4.0 is an Online International Winter School Program designed to equip emerging researchers, students, and professionals with advanced analytical capabilities for evidence-based policymaking. Organized by the IMPRI Generation Alpha Data Center (GenAlphaDC), this four-month immersive leadership certificate training fellowship offers a dynamic learning environment where participants engage with real-world datasets, applied research methods, and hands-on analytical tools essential for policy analysis. Through expert-led sessions, interactive exercises, and guided data projects, fellows gain the technical proficiency, critical thinking skills, and professional confidence needed to interpret data meaningfully and contribute to impactful public policy research in an increasingly data-driven world. The Data Analytics for Policy Research Fellowship (DAPRF) is an intensive, practice-oriented program designed to equip participants with the analytical skills necessary to drive evidence-based policymaking. Moving beyond theoretical understanding, the fellowship immerses learners in rigorous hands-on training across a wide spectrum of analytical methods, statistical tools, and data visualization techniques essential for policy research. Participants engage with key methodologies such as ANOVA, regression analysis, econometrics, forecasting, and survey data analysis, while gaining proficiency in tools including Stata, EViews, Excel, GIS/ArcGIS, and other data-driven frameworks widely used in public policy, governance, and social research. Throughout the program, participants work on real-world datasets and policy challenges, culminating in a guided data project that each fellow presents at the end of the fellowship—with select projects earning an opportunity for publication in an ISBN-edited volume. Ideal for students, researchers, professionals in government, development sectors, and academia, DAPRF fosters a collaborative learning environment where participants build strong analytical capabilities, enhance their policy research acumen, and join a growing network of practitioners committed to shaping informed, impactful governance through the power of data. Objectives Acquire hands-on training in various data analytics techniques and platforms. Master data visualization and statistical tools for policy research. Perform comprehensive data analysis including ANOVA, regression analysis, and econometrics. Utilize advanced tools like GIS, Arc GIS, EViews for data insights. Develop skills in monitoring, evaluation, and Excel-based data analysis. Engage in a hands-on project to apply learned techniques and tools in real-world scenarios. Key Highlights: Hands-on Data Analytics Learning with Practice Datasets (excel, eviews, stata, R); Statistics & Econometrics in Practice; Monitoring & Evaluation; AI Data Tools; Spatial Data Analysis- GIS; Thematic Curated Interactive Expert Sessions; Fellowship Project Submission (to be published as an ISBN edited book). For Whom Professionals: Practitioners, researchers, policymakers, administrators, and development professionals across sectors.Academia & Subject Experts: Faculty members, scholars, and domain specialists engaged in research or policy work.Civil Society & Community Actors: Individuals working in NGOs, social enterprises, advocacy groups, or grassroots initiatives.Interdisciplinary Thinkers: Those bringing cross-sector perspectives to policy, governance, and societal challenges.Students: UG, PG, MPhil, and PhD learners from any discipline. Applications from participants across disciplines, sectors, and regions are encouraged. IMPRI fellowships promote a multidisciplinary, inclusive learning environment that brings together diverse stakeholders to engage with real-world policy challenges. Program Experts Chair: Dr Soumyadip Chattopadhyay, Associate Professor, Economics, Visva-Bharati, Santiniketan; Visiting Senior Fellow, IMPRICo-Chair: Mr Rakesh Pandey, Doctoral candidate in the Research, Analysis, and Design stream, RAND School of Public Policy and Assistant policy researcher, RAND Corporation (TBC) Session Experts:  Prof Nilanjan Banik, Professor and Program Director (BA, Economics and Finance), Mahindra University, Hyderabad; Visiting Consultant, IMPRIDr Soumyadip Chattopadhyay, Associate Professor, Economics, Visva-Bharati, Santiniketan; Visiting Senior Fellow, IMPRIProf Vibhuti Patel, Visiting Distinguished Professor, IMPRIDr Amar Jesani, Independent Researcher and Teacher (Bioethics and Public Health); Editor, Indian Journal of Medical EthicsDr Radha Ashrit, Deputy Director General (DDG), Development Monitoring & Evaluation Office, NITI Aayog.Dr Ismail Haque, Assistant Professor, Department of Geography, Faculty of Sciences, Jamia Millia Islamia, New Delhi; Visiting Fellow (Honorary), IMPRIDr Prabhu Ponnusamy, Founder/CEO at Iotalytics Research and Analytics Solutions Pvt LtdMr Rakesh Pandey, Doctoral … Continue reading DAPRF Data Analytics for Policy Research Fellowship- Cohort 4.0