Public Interest Technology Clinic

Public policy and civic organizations are increasingly guided by data products such as empirical graphs, statistical analyses, and machine learning predictions. However, no data product can deliver an absolute, unimpeachable truth. Therefore, building these products requires navigating a delicate balance between a) moving forward with identified issues and b) refining and improving the product to address issues. This class will help students develop their intuition for striking that balance — through hands-on experience.

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Student Learning Outcomes

1. Prioritizing improvements to proximate data products
2. Providing constructive advice on distal projects
3. Hone an awareness of internal processes for navigating data product development

Course may be repeated for credit with instructor consent.