There are now tens of millions of digital platform workers that live all over the world, doing work that is outsourced via platforms or apps.
Platform work provides essential income and opportunities to many. However, lacking protection from employment law or collective bodies, many platform workers face low pay, precarity, and poor and dangerous working conditions.
Fairwork, at its essence, is a way of imagining a different, and fairer, platform economy than the one we have today. By evaluating platforms against measures of fairness, we hope to not just show what the platform economy is, but also what it can be.
Fairwork draws on the expertise and experience of researchers at Audencia (France), the American University of Cairo (Egypt), the Chinese University of Hong Kong’s Centre for Social Innovation Studies (Hong Kong), CIPPEC (Argentina), De La Salle University (Philippines), the International Institute of Information Technology Bangalore (India), the Centre for Labour Research (Pakistan), FLACSO-Ecuador (Ecuador), Humboldt University of Berlin (Germany), iSocial (Bangladesh), National University of Singapore (Singapore), Public Policy Research Center (Serbia), REPOA (Tanzania), Sapienza University of Rome (Italy), the Technical University of Berlin (Germany), TEDIC (Paraguay), Tu Wien (Austria), Universidad Adolfo Ibáñez (Chile), Universidad del Rosario (Colombia), Universidade do Vale do Rio dos Sinos (Brazil), Universitas Gadjah Mada’s Center for Digital Society (Indonesia), University of California’s Hastings College of the Law (US), the University of Cape Town (South Africa), University of Ghana Business school (Ghana), University of Leuven (Belgium), the University of Manchester (UK), the University of Oxford (UK), the University of the Western Cape (South Africa), Weizenbaum Institut (Germany), WZB Berlin Social Science Center (Germany), and XU Exponential University (Germany).
Project staff works to translate our principles into measurable thresholds, conduct rigorous research to evaluate platforms against those thresholds, and publish our results in a transparent manner.