Data-Pop Alliance (DPA), in collaboration with Open Data Watch (ODW), was tasked with creating a pioneering gender data framework for urban environments, commissioned by the City Hub and Network for Gender Equity (CHANGE). This framework was intended for implementation across...
DPA developed a four week training on qualitative and quantitative analysis and tools for the members of the Mexican CSO EQUIS Justicia para las Mujeres. The training included different sessions, with online and in-person guided tutorials conducted by DPA facilitators....
EmpoderaData built upon the success of the “Quantitative Step” (Q-Step) program, which was developed as a strategic response to the shortage of quantitatively-skilled social science graduates in the United Kingdom. Together, University of Manchester and Data-Pop Alliance expanded upon the...
“OPAL for Public Data and Good” seeks to merge different “privacy enhancing techniques” (PETs), such as federated learning, differential privacy, and negative databases, to allow trusted third parties such as researchers or official institutions to analyze censuses or national surveys’...
Four research papers were developed in collaboration with and funded by the Agence Française de Développement (AFD) between 2016 and 2019 under a joint program with Data-Pop Alliance and research partners (Cloud to Street, Flowminder, Harvard Humanitarian Initiative, MIT Media...