Intermediate Evidence-based Policymaking and Communication
Intermediate course on translating scientific evidence into policy communications and data visualizations across healthcare, poverty, and climate areas.
Summary
What you’ll be able to do
Identify different types of evidence and evaluate their appropriateness for policy problems, with a focus on research design, data quality, and ethics.
Critique the ways that evidence is used (or not used) in the policy process, including analyzing real world cases and decision-making under uncertainty.
Engage with researchers, policymakers, and the public in informed policy discussions using evidence and strategic communication approaches.
Synthesize evidence about complex policy problems into professional written and visual communications tailored to different audiences.
Source: UW Guide
Grade history
↗No recorded grade history.
All recorded terms · compare terms & instructors
Prerequisites
Course map(ECON 101, 111,A A E 101, or 215 prior to Fall 2024) and (ECON 310,PSYCH 210,SOC/C&E SOC 360,STAT 240, 301, 324, or 371)
This is a best-effort interpretation; check the catalog requirements above.
Professors
Spring 2027No instructors recorded for this selection.
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Calendar & sections
Spring 2027Schedule loads here as you scroll.
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Student experience
the class
Many types of evidence can be incorporated into the policy process. Evidence is interpreted while considering quality and ethics, and effectively translated from scientific sources into useful communications and data visualizations. Evidence is examined from across a wide range of policy areas including healthcare, poverty, climate change, among others - all while considering the current reality of big data and algorithmic information environments. A broad understanding is required to translate evidence meaningfully and ethically into the design, implementation, and evaluation of public policy.
difficulty & workload
No workload feedback recorded.
Topics
- Healthcare, poverty, and climate change policy areas.
- Big data and algorithmic information environments.
- Design, implementation, and evaluation of public policy.
Skills
- Evaluate evidence appropriateness focusing on research design, data quality, and ethics.
- Critique evidence usage in policy processes and analyze decision-making under uncertainty.
- Engage stakeholders in policy discussions using strategic communication approaches.
- Synthesize evidence into professional written and visual communications for various audiences.
Grades
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Catalog & offerings
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Raw records
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Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
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"task_version": "17",
"output_id": "982283a50a95f5225a6b60bf103e47f3ca835974166677edc43fd0ff7ea6741d",
"requirements_status": "needs_review",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}