Quantitative data can provide detailed evidence to complement and support qualitative data research. Stanford offers tremendous quantitative resources, including help in analyzing that data. This workshop introduces the array of resources with specific attention to a Policy Lab case study grounded in quantitative research. This is part of Elements of Policy Analysis (Law 7846) and […]

Virtually every public policy has causes and consequences beyond those that are intended or immediately visible. This is true of criminal law policies that use algorithmic predictions of flight before trial; environmental policies involving greenhouse gas emissions and conventional pollutants; and social and health policies that address homelessness, institutional racism, and the distribution of Covid […]

Researching public policy requires synthesizing information from many different sources and disciplines: legal research; scientific data; economic predictions; findings and recommendations from NGOs and blue-ribbon panels, think tanks, and government agencies. All of these and more guide policymakers. Join this workshop to learn how to identify and access non-legal sources of information and understand techniques […]

Tame the chaos: efficiently move from research overload to targeted first draft with AI. In this session, you'll identify practical ways AI can help organize research materials and pinpoint themes; use AI to generate a working outline from notes, sources, or earlier drafts; and efficiently engage with AI to identify gaps, missing authorities, or areas […]

Learn how to organize research and data for compelling policy memos and briefing papers that illustrate underlying findings and principles. This workshop will highlight examples from past Policy Lab projects with attention to the differences between legal advocacy and policy analysis. You will learn general principles grounded in Robert K. Yin’s foundational works on writing […]