Machine Learning for Peace
The Machine Learning for Peace (MLP) was featured in the World Bank’s EngageFest webinar a using AI analytics for citizen engagement . Watch the recording to learn about three case studies of projects using AI/ML for civic engagement and to hear a panel discussion of these issues
An interview with MLP’s Jeremy Springman (Director of Civic Research) was featured in the Civil Society Manifesto for Ethical AI, published by Foris International. The manifesto aims to give voice to a diverse group of civic actors working on subjects that are being affected by ongoing advances in AI. The interview focuses on how MLP uses machine learning to provide digital tools designed to help civil society.
The Machine Learning for Peace (MLP) was featured in the Promise and Perils of Data Science for Development webinar as part of the Social Impact Evidence for Impact Webinar Series. The webinar discussed how data science can be used to improve development effectiveness. The presentation concluded with critical reflections from within USAID on the promise and pitfalls of using data science for development.
The Machine Learning for Peace (MLP) project was one of 60 projects hosted at the 2022 Paris Peace Forum in November. Check out our page on the Peace Forum’s website or hear more about MLP and other related work from the Forum’s AI in International Development roundtable discussion.
DevLab launched the Machine Learning for Peace (MLP) project website at the Open Government Partnership Global Summit in December 2021. This event marked the unveiling of the MLP data and forecasts to the general public. Click here to watch the MLP launch event and learn more about the digital tools associated with the project (~1 hour video).
This article, featured in Duke’s online newsletter, describes the MLP launch event and covers how MLP’s data and forecasts are being developed and deployed to benefit donors and civil society around the world.
The Machine Learning for Peace (MLP) project partnered with Catalyst Balkans and USAID Serbia to produce additional data on civic space in Serbia. This event highlighted DevLab’s committed to incorporating local voices into our data production and the innovative work being done by Catalyst Balkans. Click here to learn more about MLP’s work in Serbia (~1 hour video).
The Machine Learning for Peace (MLP) project was featured at the 2022 Global Digital Development Forum in May 2022. This forum focused on showcasing concrete solutions to important development challenges. Click here to watch a brief video describing how the MLP project and online tools can be used by policymakers and practitioners to address important global challenges. (~5 minute video)