COLU Columbia-Lehman Public Interest Technology Data Science Corps (PIT-DSC)
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Keywords
Curriculum , public interest technology , PIT , Data & Algorithms , Experiential Learning , Data Science , Bootcamp , Community Technology , Technology Community , Educational Opportunities
Project
Authors
Zheng, Tian
Date Submitted
7/1/23
Material Type
Lab Curriculum
Secondary Material Type
Clinic Curriculum
Collection
Data sets
Presentation
Report
Workshop and Training Material
Collection
Data sets
Presentation
Report
Workshop and Training Material
Institution
Columbia University
Industry Partner
License
CC BY-NC-SA
Funding Source
Network Challenge Grant TAACCCT Round 3
Additional Public Access
Abstract
Project objective 1) Strengthen the PIT-DSC program with a fully developed Data Solutions Design Studio. Project objective 2) Expand
partnerships with PIT research teams. Project objective 3) Expand PIT-DSC’s effort on diversity and inclusion in data science pipelines
to include students from other CUNY colleges. Project objective 4)Further develop infrastructures for the PIT-UN community: training
data scientists as mentors, growing a network of non-profit organizations as project sponsors, instituting a design studio for project design and management, and recruiting faculty as collaborators. Project objective 5) Evaluate and develop new knowledge about PIT Data Science URE in terms of learning outcomes, ethics, pipeline diversity & inclusion; identify stakeholders’ interests and curricular elements for PIT education.
Industry (NAISC)
Public Interest Technology -- Data -- Algorithms
Occupation (SOC)
Computer and Mathematical Occupations -- Statisticians (15-2041)
Instructional Program (CIP)
Computer and Information Sciences and Support Services (11)
Credit Type
Credential Type
Bachelors Degree
Other
Other
Educational Level
Upper division of Bachelors degree or equivalent
Skill Level
Advanced Level