Last Updated:
November 16, 2024
Academic Data Science Alliance
The Academic Data Science Alliance (ADSA) is a professional association of data science initiatives fostering responsible and ethical integration of data science and AI in higher education through community building, resource sharing, and advocacy for inclusive, interdisciplinary approaches across academic institutions.
Type
Professional Network
Tags
Data Science, Ethics, AI Best Practices, Training Resources
Funding Source
Academic Institutions, Private Foundations
Country/Region
United States
Access Model
Tiered Membership
Launch/Establishment
2019
About
The Academic Data Science Alliance (ADSA) supports the integration of data science and AI in university research, education, and training across disciplines, with a mission to empower data scientists to openly engage with the ethical implications of their work. Their community brings together practitioners, educators, leaders, and academic-adjacent colleagues in higher education, building on the foundation established by the Moore-Sloan Data Science Environments partnership.
ADSA promotes working responsibly, ethically, and openly through various initiatives and working groups. They advocate for accessible knowledge, interdisciplinary collaboration, and the inclusion of diverse perspectives in data science. Through their Data Science Ethos initiative and working groups, they help institutions develop ethical frameworks and best practices for data science education.
The organization maintains active communities for knowledge sharing and professional development, while advocating for meaningful recognition of people creating data-intensive workflows in academia. They support academic institutions in developing campus-wide AI strategies and connect their community through events, summits, and online platforms.
Website
50+
Member institutions
10+
Leading universities as Evergreen Members
150+
Individual community members
By the Numbers
Supporting Entity Information
Name
Hopewell Fund
Legal Status
Nonprofit
Registered Address
1828 L Street NW, Suite 300-D, Washington, DC 20036, USA