Data for peace: how novel data sources and technology can enhance peace?

Abstract In this editorial, we draw insights from a special collection of peer-reviewed papers investigating how new data sources and technology can enhance peace. The collection examines local and global practices that strive towards positive peace through the responsible use of frontier technologies. In particular, the articles of the collection illustrate how advanced techniques—including machine learning, network analysis, specialised text classifiers, and large-scale predictive analytics—can deepen our understanding of conflict dynamics by revealing subtle interdependencies and patterns. Others assess innovative approaches reinterpreting peace as a relational phenomenon. Collectively, they assess ethical, technical, and governance challenges while advocating balanced frameworks that ensure accountability alongside innovation. The collection offers a practical roadmap for integrating technical tools into peacebuilding to foster resilient societies and non-violent conflict transformations.

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Publication Details

Journal
Data & Policy
Published
2025-01-01
DOI
https://doi.org/10.1017/dap.2025.10006
Primary Topic
Peacebuilding and International Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Data for peace: how novel data sources and technology can enhance peace?

Stefaan Verhulst, Evelyne Tauchnitz, Kalypso Nicolaïdis, Innar Liiv et al.
Data & Policy
Peacebuilding and International Security
article

Data for peace: how novel data sources and technology can enhance peace?

Stefaan Verhulst, Evelyne Tauchnitz, Kalypso Nicolaïdis, Innar Liiv, Michele Giovanardi, Martin Wählisch
article en

Abstract

Abstract In this editorial, we draw insights from a special collection of peer-reviewed papers investigating how new data sources and technology can enhance peace. The collection examines local and global practices that strive towards positive peace through the responsible use of frontier technologies. In particular, the articles of the collection illustrate how advanced techniques—including machine learning, network analysis, specialised text classifiers, and large-scale predictive analytics—can deepen our understanding of conflict dynamics by revealing subtle interdependencies and patterns. Others assess innovative approaches reinterpreting peace as a relational phenomenon. Collectively, they assess ethical, technical, and governance challenges while advocating balanced frameworks that ensure accountability alongside innovation. The collection offers a practical roadmap for integrating technical tools into peacebuilding to foster resilient societies and non-violent conflict transformations.

Data & PolicyVol. 7
Tallinn University of Technology (EE), City College of New York (US), University of Lucerne (CH), United States Institute of Peace (US), Statistics Belgium (BE), Government of the United Kingdom (GB), Centre for International Governance Innovation (CA), University for Peace (CR), New York University (US), Lucerne University of Applied Sciences and Arts (CH), European University Institute (IT)
Openalex Percentile: Top 80%
Peacebuilding and International Security
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Data for peace: how novel data sources and technology can enhance peace? — Stefaan Verhulst, Evelyne Tauchnitz, et al. · Data & Policy (2025) | TGRS Research Map | TGRS