Machine Learning for Peace (MLP) brings together machine learning and data analysis to support efforts in strengthening democracy and responding to crises around the world. MLP’s digital tools collect and analyze large amounts of information on political events in over 60 countries. This is done by processing millions of articles from more than 300 local, regional, and international news outlets, published in nearly 40 different languages. Using this infrastructure, MLP provides current and reliable insights on recent and past trends, while also building forecasts that help predict how political and social conditions might change in the near future.
We provide a variety of interactive digital tools that activists, policymakers and researchers can use to explore data and forecasts on areas such as civic space and foreign influence, including the Civic Space Early Warning System (CSEWS), which has provided advanced warning of major political events in recent months. Our tools also provide data on environmental events, offering broader coverage and additional insights.
To contact our team, please email mlpeace-devlab@sas.upenn.edu. You may also subscribe to our mailing list here to receive monthly updates. These updates feature summaries of significant events identified by our system since the previous report, enabling monitoring conditions across countries. We also include reviews of recent forecasts and previous anticipated developments in the coming months. The subscription provides access to timely insights that can guide strategic planning and decision-making.
If you are a researcher or non-profit organization interested in accessing the data behind these digital tools, please complete our data request form. We will respond as promptly as possible.