Rushikesh Jadhav

Gondan Diaries: A Travel Journal App

App that helps you journal and document your travel experiences with photos, notes, and diary entries. The key features include location tagging, photo integration, and AI generated questions that help you reflect on your journey. It also has a photo feed to showcase your adventures to you friends and family.

Global Protest Tracker: Interactive Visualization

An interactive, web-based tool analyzing worldwide protest events from 2017 to 2025, enabling users to explore protest outcomes, motivating factors, and more. Built with D3.js, the tool transforms a simple dataset into an interactive resource for policy researchers and analysts tracking global civil society trends.

Chicago Tax Increment Financing (TIF) Analysis: How do TIFs impact municipal tax bases?

Analyzes how Chicago's TIF districts affect property values and municipal tax levies, using spatial and longitudinal data to assess a financing tool that redirects billions in public revenue. The project maps district boundaries across the city and examines their relationship with local economic outcomes over time.

Originally started during an internship with the Cook County Assessor's Office (CCAO), Jan–Mar 2026. Subsequently developed and extended independently. Not an official CCAO work product.

Aravalli Range Ruling: Investigative Article

Found that over 96% of the historically understood Aravalli range would not qualify for legal protection under the Supreme Court of India’s November 2025 definition, which introduced new prominence and clustering criteria. Applied these criteria to satellite-derived elevation data using a transparent, replicable methodology that integrates GIS, statistical analysis, and data visualization to translate a technical legal standard into concrete spatial outcomes.

Agricultural Insurance Analysis: North East India

A policy analysis of the Pradhan Mantri Fasal Bima Yojana (PMFBY) crop insurance scheme, focusing on implementation challenges and outcomes in India's North Eastern states. Using Python and Altair, this report visualizes coverage gaps, uptake rates, and farmer enrollment trends to inform agricultural policy improvements in underserved regions.

Assessing the Environmental and Economic Impacts of Kenya's Feed-in-Tariff Policy

A quasi-experimental evaluation of Kenya's 2008 renewable energy policy using Difference-in-Differences and synthetic control methods. This study quantifies the policy's dual impact on carbon emissions reduction and economic development, comparing Kenya's outcomes against Ghana and 15 other Sub-Saharan African nations to assess whether green energy incentives can deliver both environmental and growth benefits.

Improving Access to Institutional Credit for India's Agricultural Sector

Addresses systemic barriers to institutional agricultural credit access in India, synthesizing stakeholder analysis, institutional constraints, and credit market dynamics to propose actionable reforms for universal credit access — with mechanisms for monitoring inclusion, reducing delinquency, and directing credit toward agricultural investments.

From Narrative to Action: Fostering Democratic Engagement and Engaged Citizens Through Behavior Change

Gideon Too, Ryan Gem, Rushikesh Jadhav, Maria Milosh, Aby Dwi Prasetya, Mareike Schomerus

Busara, February 2026. This research investigates how stories about democracy translate into actual citizen participation. Using the COM-B framework, the authors examine the capability, opportunity, and motivation factors that determine whether people engage in democratic activities, and propose that effective interventions must simultaneously address all three dimensions rather than relying solely on communication strategies.

Expanding the Coverage and Accuracy of Parcel-Level Land Value Estimates

Miriam Gold, Seth Binder, Christoph Nolte — Research Assistant: Rushikesh Jadhav

PLOS ONE, September 2023. This study demonstrates an enhanced methodology for estimating fair market values of undeveloped parcels across the United States, incorporating agricultural productivity variables and shifting to USDA farm resource region scales to achieve a ~15% improvement in predictive accuracy and extend coverage to 376 previously unmodeled counties.