AidData’s China data wins 2023 Best Dataset Award from IPESThe International Political Economy Society (IPES) recently announced that its prestigious “Best New Dataset Award” has been given to a team of international researchers. Axel Dreher of Heidelberg University, Andreas Fuchs of Göttingen University, Brad Parks of AidData at William & Mary (W&M), Austin Strange of the University of Hong Kong, and Mike Tierney of W&M’s Global Research Institute 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)- that generates detailed and comprehensive data about Chinese government-financed development projects for low-income and middle-income countries in all major world regions. In September 2021, AidData and its research collaborators published a 2.0 version of the dataset that captured 13,427 Chinese grant-and loan-financed development projects worth $843 billion. The 3.0 version of the dataset is slated for release in late 2023.
Press release: AidData’s China data wins 2023 Best Dataset Award from IPES