The Harvard Data Science Initiative facilitates a variety of programs on a diverse set of topics for the benefit of the Harvard community and beyond. Activities include funding, fellowships, seminars, and workshops.
Bias2
Using data science to uncover bias and addressing bias in data science through research, seminars, and community engagement.
Causal Inference
Connecting causal inference researchers across departments and schools, and build interdisciplinary collaborations.
Fellowships & Funds
Data science funding opportunities for postdoctoral fellows and faculty.
SPUDS
SPUDS is a ten-week summer program, co-sponsored with Harvard College, that aims to provide a formative and substantive data science research experience and to promote community, creativity, and scholarship amongst Harvard College students.
Trust in Science
The project seeks to illuminate the varied factors that currently impede trusting relations between the producers and users of scientific information. It leverages data science, science and technology studies, and related disciplines to analyze the breakdowns in public trust, and to ask what steps could be taken to promote better mutual understanding.