Data Science for Social Good Volunteer Motivations and Limitations: An Exploratory Survey

In what is broadly understood as the Data for Good (D4G) movement, coordinated efforts among technologists, domain experts, and mission-driven organizations are using data science and artificial intelligence (AI) applications to address some of the world’s most-pressing challenges. One prominent mode of D4G engagement is skills-based volunteering, such as the work conducted by DataKind, a global nonprofit that pairs pro bono technologists with social sector organizations. DataKind’s global volunteer survey explores the community’s characteristics, motivations, and even limitations that hinder long-term project engagement. As a global data collection and assessment effort of a self-identified D4G community, this study informs the broader community of practice and collaboration opportunities, which seek to advance a more-equitable and ethical D4G ecosystem.

Some content is only viewable by ASA Members. Please login or become an ASA member to gain access.

Tagged as: , , , , , ,