BITSS collaborates with a number of partners in the open social science ecosystem.

Berkeley Institute for Data Science (BIDS)bids_logo

Founded in 2013, the Berkeley Institute for Data Science (BIDS) is a central hub of research and education at UC Berkeley designed to facilitate and nurture data-intensive science. People are at the heart of BIDS. We are building a community centered on a cohort of talented data science fellows and senior fellows who are representative of the world-class researchers from across campus and are leading the data science revolution within their disciplines.

Center for Open Science (COS)cos_logo

COS is a non-profit technology company providing free and open services to increase inclusivity and transparency of research. COS supports shifting incentives and practices to align more closely with scientific values.

Innovations for Poverty Action (IPA)ipa_logo

Innovations for Poverty Action (IPA) is a research and policy non-profit that discovers and promotes effective solutions to global poverty problems. IPA brings together researchers and decision-makers to design, rigorously evaluate, and refine these solutions and their applications, ensuring that the evidence created is used to improve the lives of the world’s poor.

Meta-Research Innovation Center at Stanford (METRICS)metrics_logo

Launched in April 2014 with a founding grant from the Laura and John Arnold Foundation, the Meta-Research Innovation Center at Stanford (METRICS) is a research to action center focused on transforming research practices to improve the quality of scientific studies in biomedicine and beyond. METRICS, a center within SPECTRUM, fosters multi-disciplinary research collaborations to help produce solutions that increase the effectiveness and value of scientific investigation.

Mozilla Science Labmozilla_logo

The Mozilla Science Lab is helping a global network of researchers, tool developers, librarians and publishers collaborate to further science on the web.

Project TIERProject TIER Logo

For a number of years, Project Tier has been developing a protocol for comprehensively documenting all the steps of data management and analysis that go into an empirical research paper. They teach this protocol every semester to undergraduates writing research papers in introductory statistics classes, and students writing empirical senior theses use their protocol to document their work with statistical data. The protocol specifies a set of electronic files—including data files, computer command files, and metadata—that students assemble as they conduct their research, and then submit along with their papers or theses.