Harsh is a Program Manager in GIS Analytics and Extractives Policy on the Policy Analysis Unit at AidData. He manages AidData's program with USAID-Cote D'Ivoire to improve data systems for HIV/AIDS tracking throughout the country, as well as AidData's extractives and natural resources portfolio. Previously, he served as a Junior Program Manager on AidData's former Data and Technology team. Harsh obtained his B.A. in Political Science and Philosophy from the University of Missouri-Kansas City and MSc in Development Management from the London School of Economics and Political Science. He has previously served as an independent consultant for AidData, Oxfam Great Britain, and the Overseas Development Institute.
Ties That Bind: Quantifying China's public diplomacy and its "good neighbor" effect
Samantha Custer, Brooke Russell, Matthew DiLorenzo, Mengfan Cheng, Siddhartha Ghose, Jacob Sims, Jennifer Turner, Harsh Desai
Natural resource sector FDI, government policy, and economic growth: Quasi-experimental evidence from Liberia
Jonas B. Bunte, Harsh Desai, Kanio Gbala, Bradley C. Parks, Daniel Miller Runfola
Natural Resource Sector FDI and Growth in Post-Conflict Settings: Subnational Evidence from Liberia
Jonas B. Bunte, Harsh Desai, Kanio Gbala, Brad Parks, Daniel Miller Runfola
An Open-Source Methodology for Tracking Natural Resource Concessions in Liberia: Version 1.0
Harsh Desai, Miranda Zhonghui Lv, Charles Perla, Brad Parks
“Beyond Africa”: A glimpse into AidData’s forthcoming dataset on Chinese financing in ecological hotspots
The forthcoming dataset captures more than 1100 Chinese projects from 2000 to 2014 in 19 countries, totaling $95 billion in total official financing.
What’s new in AidData’s latest Chinese development finance dataset?
Last week, we released our 1.2 dataset and TUFF methodology updates. So, what are the five most important changes to come with these updates?
Introducing the next generation of development innovators: AidData's student Shark Tank makes a splash
Inspired by a similar event held in February of 2015 in which AidData’s staff pitched innovative development ideas, teams of students developed research proposals that leverage sub-national spatial data to address relevant policy and research questions over the course of 8 weeks.
“First data responders?”: Lessons learned from Nepal
In the aftermath of the Nepal earthquake, hyper-local, crowdsourced data functioned as signposts for both national and international organizations as they sought to provide timely relief to those areas in greatest need of assistance.
Looking Back Anew: AidData’s #ChinainAfrica November Launch Event
The dashboard launched at the event attempts to create a space for discussion about China’s role in Africa, opening up a broader conversation where anyone can provide comments and contribute multimedia content on the projects of interest to them.
Unlocking the Black Box: Transparency Matters and the NGO Aid Map
In this post, we spotlight what this mapping tool has to offer and some hopes for how it can be further strengthened to advance open data for development in 2015.
Democratizing Development: Mapping Chinese Investments in Africa
Launching today, AidData’s interactive geospatial dashboard features over 2000 Chinese-backed development projects in Africa, disaggregated to the provincial, municipal, or street-corner level.
Style or Substance?: The BRICS in the Post-Busan World
The arrival of the BRICS had clearly brought about a fresh start in how we perceive development finance.
South-South Cooperation: Providing Context in a Changing Landscape
We’re increasingly aware of the important role that countries in the global South play in development cooperation. But as long as we depend on existing definitions for measuring development cooperation we won’t really understand how big this role is.
How TUFF Is It To Track Chinese Aid? Insights from Beijing’s Latest White Paper on Foreign Aid
China’s State Council published a white paper providing an overview of its funding for overseas development activities. We took this opportunity to test how well AidData has been able to capture Chinese funding with our Tracking Underreported Financial Flows (TUFF) methodology.