Lauren has consulted for AidData on data and policy analysis since 2016, and currently works as an Overseas Development Institute (ODI) Fellow in Rwanda. She previously served as a Junior Program Manager at AidData from 2014-2016, and worked as a student Research Assistant at AidData from 2013-2014 while an undergraduate at William & Mary. She conducted an open source data audit to identify key datasets on HIV/AIDS risk factors in Zambia and Uganda for a DREAMS partnership grant, which aims to improve access to HIV/AIDS prevention and care to women and girls in sub-Saharan Africa. She has also quality-assured and analyzed non-DAC development finance data, with an emphasis on GCC donors. Lauren holds an MSc in International Development and Humanitarian Emergencies from the London School of Economics, and a BA in Economics from William & Mary.
Linking the SDGs with national development planning for better coordination
AidData is piloting a new methodology in Rwanda to connect financing for and progress on the SDGs with national development.
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.
The Great Debate: Fungibility, Citizen Feedback and the Future of Foreign Aid
Debates associated with aid’s effectiveness, or lack thereof, are numerous and divisive, coalescing around a few key issues like fungibility and governance.
Halving Hunger: What Can Burundi and Rwanda Tell Us About Aid, Politics and Health?
Despite sharing a common border, Rwanda and Burundi represent a best and worst case, respectively, in their GHI outcomes according to the 2013 index.
Student Innovators Use "Story Maps" to Network and Collaborate to Solve Development Challenges
Students from different university development labs collaborated to create Story Maps depicting how the work of individual labs could be visualized, both geographically and topically.