We invite you and your colleagues to apply to attend this free online workshop on designing a university-based Data for Good program. The workshop will be offered remotely over the course of four 2-hour sessions between January 14 and February 4, 2022.
What is a Data for Good Program?
University-hosted Data for Good (D4G) programs provide research, service, and learning opportunities to students through team-based projects run outside of normal course offerings (typically during the summer). Popular with students, D4G programs provide the opportunity to work directly with data science mentors and subject matter experts from non-profits, government agencies, community organizations, and academia. These programs fill an important niche—supporting the responsible utilization of data science tools and techniques to address social concerns. The mission of a D4G program can be tailored to support different types of students, partners, and projects as envisioned by program and university leadership.
What is the purpose of the workshop?
Those interested in starting a university-hosted Data for Good program are invited to apply to attend the workshop, Creating a University-Based Data for Good Program: A Decision Points Workshop. The workshop draws on the collective experience of organizers running “Data Science for Social Good”, “Data Science for Public Good” and “Data Science for Common Good”programs in the United States, Canada, and UK— experience shared recently in the white paper The Data for Good Growth Map. This workshop is sponsored by the West Big Data Innovation Hub and the University of Washington eScience Institute.
What will the workshop cover?
Each session will include presentations, Q & A panels, and discussion breakouts with representatives from multiple existing D4G programs. Session topics include:
- Why Create a Data for Good Program?
- Project Partnerships and Project Selection
- Selecting and Supporting Students
- Program Structure and Sustainability
Who should attend the Data for Good Growth Map Workshop?
Researchers, educators, and leaders thinking about developing a Data for Good program—or in the early stages of designing or running a Data for Good program—will benefit from this workshop. Multiple collaborators from the same university are encouraged to attend.
This free online workshop will run remotely over four consecutive weeks this winter:
- Friday Jan 14, 2022, 10:00am-12:00pm Pacific (UTC -8)
- Friday Jan 21, 2022, 10:00am-12:00pm Pacific (UTC -8)
- Friday Jan 28, 2022 10:00am-12:00pm Pacific (UTC -8)
- Friday Feb 4, 2022 10:00am-12:00pm Pacific (UTC -8):
Honoraria of $300 will be available to accepted participants who attend all sessions.
Diego Arenas, German Research Center for Artificial Intelligence (DFKI)
Juergen Branke, University of Warwick
Rayid Ghani, Carnegie Mellon University
Gizem Korkmaz, Coleridge Initiative (formerly University of Virginia)
Kevin Lin, University of British Columbia
Jing Liu, University of Michigan
Balasubramanian Narasimhan, Stanford University
Matthew Rattigan, University of Massachusetts Amherst
Christopher Seeger, Iowa State University
Anissa Tanweer, University of Washington
Dan Richard, University of North Florida
Karthikeyan Umapathy, University of North Florida
Applications to attend will be accepted through December 15, 2021. We hope to be able to accommodate all interested participants in this workshop. Please hold the workshop days / times on your calendar and look for a follow up confirmation email the week of December 13th.
CLICK HERE TO APPLY.
For general information and questions please feel free to contact:
Dharma Dailey (firstname.lastname@example.org).