Please enter the security password to view the EPIC India research atlas.
EPIC India rebuilds India's elections constituency by constituency, tracks what governments actually delivered, and publishes every table behind every finding. Scroll to begin, or start with a state.
Every card is a result from an EPIC paper or from the Punjab volume, written for a reader with two minutes and traced to the exact table. Filter above or type in the search box.
Each film is rendered frame by frame from the published seat and vote tables and set to its own score.
Sound starts when you press play. Everything on screen is drawn from IJPSG 8(9) and 8(10) and IJRAR 13(2), 2026; the picture is generated entirely from those tables.
Scroll, and the graphic follows the argument. Every number is from the Centre's papers; the seat charts are drawn from the published seat tables.
Each state page carries the complete data behind the Centre's work on it: every published table as a sortable table or an interactive chart, with the source named. States without a page yet are listed so you know what is coming.
Three papers and a forthcoming book. 117 constituencies, three elections on consistent boundaries, five government terms, 23 documented policy initiatives, 23 districts, 18 legislation milestones.
One paper. A verified nine-election state panel (1985–2022), a 68-seat constituency panel across six elections, district-level turnover, and a policy-initiatives dataset with its coverage gaps stated.
Work that is not bound to one state: the law programme and the frameworks that every state volume uses.
Two frameworks run through every publication: governance read as a learning cycle, and a hierarchy that ranks every source. Both are published in full in the Punjab volume so readers can audit the reasoning.
Public problems create demand for evidence; evidence informs policy; policy needs institutional capacity; administration turns it into services; outcomes generate new evidence. Elections are moments in this cycle, not the whole of it.
Every claim is traced to its level. Official and statutory sources anchor the analysis; media and archival material supports but never carries a finding alone.
Each paper ships its datasets and reconstructed index formulae as supplementary files, so results can be replicated and extended.
Rahul Thakur, Mukul Gupta, Sagar Khimani
International Journal of Political Science and Governance
Rahul Thakur, Mukul Gupta, Sagar Khimani
International Journal of Political Science and Governance
Rahul Thakur, Mukul Gupta, Sagar Khimani, Shrey Goel
International Journal of Civil Law and Legal Research
Rahul Thakur, Mukul Gupta, Sagar Khimani
International Journal of Research and Analytical Reviews
Rahul Thakur, Mukul Gupta, Sagar Khimani
International Journal of Political Science and Governance
Rahul Thakur, Mukul Gupta, Sagar Khimani
Twelve chapters and a statistical appendix: five government terms, 23 district profiles, a legislation timeline 1998–2023, comparative state indicators and a governance scorecard. Manuscript in revision; its tables are already in the Punjab explorer above.
Where no public, machine-readable record exists, EPIC assembles its own, states what it does and does not contain, and releases it with the paper.
Independently sourced flagship initiatives across five government terms with launch year, term, sector and source. The full list is in the Punjab explorer under Policy delivery.
All constituencies for 2012, 2017 and 2022 under consistent boundaries: winners, runners-up, margins, verified turnout and nine reconstructed policy-exposure indices (EPIC Policy Exposure Dataset v5).
Six elections from 1998 to 2022 from full Election Commission results, with district horticulture-dependency scores and seat transition matrices.
A verified nine-election panel, 1985–2022, plus schemes and their delivery timing, with coverage stated plainly: strong for 2017–2026, sparse for 1993–2017.
Chemistry and data analytics, business analytics and engineering, forensic science and political analysis. Ideas, evidence and interpretation are developed collectively.
M.S. Nanotechnology, Gujarat/National Forensic Sciences University; doctoral research in Chemistry, Panjab University; DST Fellow; eData Analytics, University of Amsterdam. Formerly Research Director, Canaveral Research Centre, Florida, and Project Director, Ceyone Consultants, Chandigarh.
M.S. Business Analytics, University of Minnesota; B.E. Civil Engineering, PEC Chandigarh. GTM Analytics Lead at Adobe (Acrobat Business), with more than thirteen years in analytics, data science and business intelligence across Fortune 500 technology firms.
M.Sc. Forensic Science (Information Technology), Gujarat/National Forensic Sciences University; B.Sc. Forensic Science, Saurashtra University. Political analyst, strategic affairs researcher and public policy observer. X: @khimanisagar