Best New Dataset Award for Andreas Fuchs
A team of international scientists, including Professor Andreas Fuchs (Chair of Development Economics) has been honoured with the “Best New Dataset Award” of the International Political Economy Society (IPES).
Axel Dreher of Heidelberg University, Brad Parks of AidData at William & Mary (W&M), Austin Strange of the University of Hong Kong, Mike Tierney of W&M’s Global Research Institute and Andreas Fuchs are the authors of "Banking on Beijing: The Aims and Impacts of China's Overseas Development Program", a book that introduced and analyzed the 1.0 version of AidData's Global Chinese Official Finance Dataset, which took home the IPES award.
The authors developed an innovative, open-source methodology called Tracking Underreported Financial Flows (TUFF). A key feature of the dataset is its comprehensive scope. It covers all regions, all sectors, and all sources and types of financial and in-kind transfers from government and state-owned institutions in China.
IPES presents the Best New Dataset award once every three years. IPES is a global society of scholars of international political economy that provides an annual forum for members to present their best new work in progress to an informed and critical scholarly audience.