INFO 285
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.
Topics
- Prioritizing improvements to proximate data products Providing constructive advice on distal projects Hone an awareness of internal processes for navigating data product development
Official catalogue course objectives and student learning outcomes
Sources
- Course catalogue ↗2026-2027