Data Equity

Digital technologies have made data, ranging from authoritative surveys to user-generated information, more available to the general public. However, data themselves are not neutral representations of societies. Significant inequity remains in terms of who is represented within and by data, how data are created, who has access to and control of data, and who has the competencies and skills to meaningfully use data. We examine how these data biases translate into uneven opportunities for different individuals and communities, and thereby perpetuate existing inequalities and produce new forms of marginalization. This work includes the development of participatory data collection methods; the creation of tools and curricula to intervene in data inequities and improve data cultures; and the co-production of datasets that better reflect the social realities of diverse communities.

  • What data inequities exist, and what are their implications for community and global development?
  • What approaches are effective for building data culture in different social, economic, and political contexts?
  • What methods and technological infrastructures can be effectively designed to ensure that data better reflect local realities and contribute to democratic knowledge production?
  • What roles do public, private, and nonprofit actors play in shaping data, and how can new digital methods enhance their abilities to support data equity?


Featured Outputs

People & Organizations

  • Research Team
  • Partners