UCB Algorithmic Justice at UC-Berkeley: cultivating PIT scholars and career pathways

The project will work towards building an interdisciplinary PIT undergraduate student cohort through programming including workshops, public lectures, panels, and lunches, as well as career support through a project matchmaking event, internship funding, and shadowing and immersions. The FIAT Justice Scholars program at UC Berkeley was designed to create a pipeline into Public Interest Technology careers for students, connecting multiple units across our campus to deliver quality programming including lectures, workshops, and career pathways events. At the onset of our project, we identified two major problems facing students: difficulty in finding intellectual communities and a marked lack of diverse representation in tech fields. Equity in PIT is especially difficult to develop because of these problems, perpetuated by gatekeeping, the centering of whiteness and masculinity, and overemphasis on technical capacity.
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Date:
2020-04
Primary Material Type:
Report
Institution:
University of California Berkeley
Funding Source:
Network Challenge Grant 2
Subjects:
public interest technology, PIT, Experiential Learning, Data & Algorithms, Curriculum, Career and Workforce, Career Pipeline, Data, Justice Equity Diversity Inclusion, AI, Algorithms, Bootcamp

Industry / Occupation

Industry Sector:
Public Interest Technology -- Career & Workforce -- Data
Occupation:
Computer and Mathematical Occupations (15-0000)

Education / Instructional Information

Instructional Program:
Computer and Information Sciences and Support Services (11)
Credit Type:
  • Credit
Credential Type:
  • Bachelors Degree
Educational Level of Materials:
  • 2nd Year Community College or equivalent
  • Upper division of Bachelors degree or equivalent
Time Required:
academic year
Language:
English (United States)
Quality of Subject Matter was assured by:
  • Other
Quality of Online/Hybrid Course Design assured by:
  • None

Copyright / Licensing

Primary License:
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
 

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