Project Details
| Short title | Learning from failure: tackling war recurrence in protracted peace processes |
|---|---|
| Status | Finished |
| Effective start/end date | 1/04/19 → 30/09/22 |
Funding
- UNITED STATES INSTITUTE OF PEACE
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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How to Prevent Civil War Recurrence: Learning from Failure
Fontana, G., Kartsonaki, A., Neudorfer, N. S. & Wolff, S., 12 Mar 2026, Oxford University Press. 272 p.Research output: Book/Report › Book
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The Multi-Stage Mixed Methods Framework: A New Research Design to Combine Hypothesis Development and Hypothesis Testing and to Embed Machine Learning and Practitioner Engagement in the Social Sciences
Fontana, G., Kartsonaki, A., Neudorfer, N. & Wolff, S., 4 Dec 2024, (E-pub ahead of print) In: International Political Science Review.Research output: Contribution to journal › Article › peer-review
Open AccessFile246 Downloads (Pure) -
Mission (im)possible? UN military peacekeeping operations in civil wars
Pushkina, D., Siewert, M. B. & Wolff, S., 1 Mar 2022, In: European Journal of International Relations. 28, 1, p. 158-186 29 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile252 Downloads (Pure)
Datasets
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The Conditions of Recurrence Dataset (CoR-D)
Fontana, G. (Creator), Kartsonaki, A. (Creator), Neudorfer, N. (Creator) & Wolff, S. (Creator), University of Birmingham, 14 Jul 2025
DOI: 10.25500/edata.bham.00001328
Dataset