PSI Peace Science Infrastructure

Worms eye view photography of ceiling, lights

The Peace Science Infrastructure (PSI) project will provide a comprehensive research infrastructure for the next generation of social science using event data, especially peace science. Photo: Joshua Sortino / Unsplash.

Duration
01.01.2023–31.12.2031

A new infrastructure for recording events and actors is underway with the Peace Science Infrastructure-project, aiming to vastly improve researchers access to quality data.

Contact

  • Scott Gates
    Scott Gates University of Oslo Principle Investigator

About the project

The Research Council of Norway funded Peace Science Infrastructure-project represents one of the most ambitious infrastructure investments ever within social science in Norway. The project is a collaboration between PRIO, Uppsala University, SIPRI, and University of Oslo (Department of Informatics and Department of Political Science).

It will allow social scientists throughout Norway and around the globe to make use of new and unexplored data sources to study in fine-grain detail the dynamics of political processes. The infrastructure developed is broadly applicable to any area of research that attempts to understand the behavior of political actors.

To date, the most widely used datasets in social science register information at the country-year level of analysis. This is problematic. Country-year analysis fails to account for local effects and dynamics. Misidentification also occurs, such as inferring that diamond-fueled armed conflict in Russia because the same sovereign state has both significant diamond deposits (in Siberia) and a civil war (Chechnya). Often, theory is at the micro-level, thus introducing a disturbing gap between micro-level theories and macro-level analysis.

Objectives

Our aim is to develop an infrastructure for automated event coding from news sources. At the core of the system is a large language model that incorporates domain knowledge about political systems and conflict processes. Users of the infrastructure take advantage of the efficiencies of machine learning and execute data collection projects hitherto infeasible. 

The project will also standardize definitions of actors, locations, events, and actions within a particular field, which in turn can be used and expanded by third party users. An increased interdependency between data projects will in turn lead to increased quality and collaboration. Or, in other words, better research for less money.

Participants

Funding

Funded by The Research Council of Norway

Project number: 322425

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Published Nov. 22, 2024 3:28 PM - Last modified May 28, 2025 12:45 PM