David Randahl
Postdoctoral position at Department of Peace and Conflict Research
- E-mail:
- david.randahl@pcr.uu.se
- Visiting address:
- Gamla Torget 3, 1tr
753 20 Uppsala - Postal address:
- Box 514
751 20 UPPSALA
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Short presentation
PhD Candidate at the Department of Peace and Conflict Research within the Violence Early Warning System (ViEWS) project. The focus of my dissertation project is the application of Machine Learning techniques in predicting one sided violence against civilians. My research interests also include the causes and effects of terrorism, missing data analysis, and other methodological challenges.
Publications
Recent publications
Could vote buying be socially desirable?: Exploratory analyses of a ‘failed’ list experiment
Part of Quality and quantity, p. 2337-2355, 2024
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Inference with extremes: Accounting for Extreme Values in Count Regression Models
Part of International Studies Quarterly, 2024
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Forecasting fatalities in armed conflict: Forecasts for April 2022-March 2025
2022
Predicting Escalating and De-Escalating Violence in Africa Using Markov Models
Part of International Interactions, p. 597-613, 2022
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2022
All publications
Articles in journal
Could vote buying be socially desirable?: Exploratory analyses of a ‘failed’ list experiment
Part of Quality and quantity, p. 2337-2355, 2024
- DOI for Could vote buying be socially desirable?: Exploratory analyses of a ‘failed’ list experiment
- Download full text (pdf) of Could vote buying be socially desirable?: Exploratory analyses of a ‘failed’ list experiment
Inference with extremes: Accounting for Extreme Values in Count Regression Models
Part of International Studies Quarterly, 2024
- DOI for Inference with extremes: Accounting for Extreme Values in Count Regression Models
- Download full text (pdf) of Inference with extremes: Accounting for Extreme Values in Count Regression Models
Predicting Escalating and De-Escalating Violence in Africa Using Markov Models
Part of International Interactions, p. 597-613, 2022
- DOI for Predicting Escalating and De-Escalating Violence in Africa Using Markov Models
- Download full text (pdf) of Predicting Escalating and De-Escalating Violence in Africa Using Markov Models
ViEWS(2020): Revising and evaluating the ViEWS political Violence Early-Warning System
Part of Journal of Peace Research, p. 599-611, 2021
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ViEWS: A political violence early-warning system
Part of Journal of Peace Research, p. 155-174, 2019
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Part of Terrorism and Political Violence, p. 373-383, 2018