This database collates policy analyses from think tanks and governments around the world, making it a key database for Global Studies students interested in foreign policy. You can filter your searches by organization, area, topic, and publication type, making it a key way to navigate the wide array of grey literature produced in the policy world.

This database collects declassified documents spanning the twentieth and twenty-first centuries from the U.S. government. It is useful for policy analysis because it contains intelligence reports, policy papers, and other diplomatic documents on a range of historic and recent major events in the world.

This database is most helpful for building out your own methodology of policy analysis. Drawing together years of political science scholarship-- where a key method is policy analysis-- this database will help you fine-tune your methodology as you research similar case studies and scholarship from and about the world.

From GlobalPolicy.AI, this custom search features information on the latest AI policy initiatives by the key inter-governmental organizations active in AI policy, including: AI-related analysis and publications; resources and online tools; educational material; data and statistics; and regulatory and self-regulatory initiatives.

The OECD AI Principles promote use of AI that is innovative and trustworthy and that respects human rights and democratic values. Adopted in May 2019, and the first intergovernmental AI standards, they feature guidance and considerations for policymakers and governments considering AI use, laws, and recommendations.

This site features AI policy research taking place in different policy communities across the OECD and beyond. It includes areas such as development, the environment, social issues, and science.

GlobalPolicy.AI aims to help policy makers and the public navigate the international AI governance landscape and access the necessary knowledge, tools, data, and best practices to inform AI policy development. GPAI features about each organization’s work on AI and strengthens cooperation between these organizations. Organizations in GPAI include UNESCO, the World Bank, OECD, and the UN.

The goal of the Observatory is to provide a global resource for policymakers, regulators, academics, the private sector and civil society to find solutions to the most pressing challenges posed by artificial intelligence. It also features a hub of resources, toolkits, case studies, and research focused on how to implement AI policy across the world.

This article from the Journal of European Public Policy discusses evidence-based policy, a subset of the policy analysis literature. Using a case of welfare fraud detection in the Netherlands, the authors show how acknowledging that some evidence is now produced digitally through AI and other data systems can enable a holistic analysis of evidence use in policy making that considers the ethical issues inherent in automated data processing. They argue that such an analysis will enhance the real-world relevance of the evidence-based policy paradigm.

This article from Information delves into the potential benefits of AI-driven policy analysis, such as enhanced decision-making processes, data-driven insights, and improved policy outcomes. It also explores the risks and concerns surrounding AI's influence on policy, including potential biases, privacy implications, and the need for transparency and accountability.

This article from Social Science Computer Review uses the extended Brunswik lens model as a framework to illustrate the distinctions between policy analysis and decision making as we have traditionally understood and practiced them and how they are evolving in the current AI context along with the challenges this poses for the use of trustworthy AI.

This article from IEEE takes a broader view of the intersections between data science and policy analysis before delving into the cross-disciplinary opportunities of the two while examining the effects of scientists' increasing pace of innovation that may leave analysts behind.