Peder Landsverk
Biographic Data
| ID | 4380357 |
|---|---|
| NAME | Peder Landsverk |
| GIVEN NAMES | Peder |
| FAMILY NAME | Landsverk |
| SIGNATURE | LANDSVERK P |
| AFFILIATIONS | Peace Research Institute Oslo |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 13 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 2 |
Introducing the ETH/PRIO Civil Conflict Ceasefire Dataset
This article introduces the Civil Conflict CeaseFire (CF) dataset. The CF data covers all ceasefires in civil conflict between 1989 and 2020, including multilateral, bilateral and unilateral arrangements, ranging from verbal arrangements to detailed written agreements. In total, the CF data includes 2202 ceasefires across 66 countries and 109 civil conflicts. The data feature information on the actors involved in the ceasefire, and the class, pur…
Predicting (de-)escalation of sub-national violence using gradient boosting: Does it work
This article presents a prediction model of (de-)escalation of sub-national violence using gradient boosting. The prediction model builds on updated data from the PRIO-GRID data aggregator, contributing to the ViEWS prediction competition by predicting changes in violence levels, operationalized using monthly fatalities at the 0.5 × 0.5-degree grid (pgm) level. Our model's predictive performance in terms of mean square error (MSE) is marginally w…
Can We Predict Armed Conflict? How the First 9 Years of Published Forecasts Stand Up to Reality
Can we predict civil war? This article sheds light on this question by evaluating 9 years of, at the time, future predictions made by Hegre et al. (2013) in 2011. We evaluate the ability of this study to predict observed conflicts in the 2010–2018 period, using multiple metrics. We also evaluate the original performance evaluation, i.e., whether the performance measures presented by Hegre et al. hold in this new 9-year window. Overall, we conclud…
Can We Predict Armed Conflict? How the First 9 Years of Published Forecasts Stand Up to Reality
Can we predict civil war? This article sheds light on this question by evaluating 9 years of, at the time, future predictions made by Hegre et al. (2013) in 2011. We evaluate the ability of this study to predict observed conflicts in the 2010–2018 period, using multiple metrics. We also evaluate the original performance evaluation, i.e., whether the performance measures presented by Hegre et al. hold in this new 9-year window. Overall, we conclud…
Introducing the ETH/PRIO Civil Conflict Ceasefire Dataset
This article introduces the Civil Conflict CeaseFire (CF) dataset. The CF data covers all ceasefires in civil conflict between 1989 and 2020, including multilateral, bilateral and unilateral arrangements, ranging from verbal arrangements to detailed written agreements. In total, the CF data includes 2202 ceasefires across 66 countries and 109 civil conflicts. The data feature information on the actors involved in the ceasefire, and the class, pur…
Predicting (de-)escalation of sub-national violence using gradient boosting: Does it work
This article presents a prediction model of (de-)escalation of sub-national violence using gradient boosting. The prediction model builds on updated data from the PRIO-GRID data aggregator, contributing to the ViEWS prediction competition by predicting changes in violence levels, operationalized using monthly fatalities at the 0.5 × 0.5-degree grid (pgm) level. Our model's predictive performance in terms of mean square error (MSE) is marginally w…
Can We Predict Armed Conflict? How the First 9 Years of Published Forecasts Stand Up to Reality
Can we predict civil war? This article sheds light on this question by evaluating 9 years of, at the time, future predictions made by Hegre et al. (2013) in 2011. We evaluate the ability of this study to predict observed conflicts in the 2010–2018 period, using multiple metrics. We also evaluate the original performance evaluation, i.e., whether the performance measures presented by Hegre et al. hold in this new 9-year window. Overall, we conclud…
Predicting (de-)escalation of sub-national violence using gradient boosting: Does it work
This article presents a prediction model of (de-)escalation of sub-national violence using gradient boosting. The prediction model builds on updated data from the PRIO-GRID data aggregator, contributing to the ViEWS prediction competition by predicting changes in violence levels, operationalized using monthly fatalities at the 0.5 × 0.5-degree grid (pgm) level. Our model's predictive performance in terms of mean square error (MSE) is marginally w…
Introducing the ETH/PRIO Civil Conflict Ceasefire Dataset
This article introduces the Civil Conflict CeaseFire (CF) dataset. The CF data covers all ceasefires in civil conflict between 1989 and 2020, including multilateral, bilateral and unilateral arrangements, ranging from verbal arrangements to detailed written agreements. In total, the CF data includes 2202 ceasefires across 66 countries and 109 civil conflicts. The data feature information on the actors involved in the ceasefire, and the class, pur…
Computer Science (2 works) · Econometrics (2 works) · Economics (2 works) · Mathematics (2 works) · Political Conflict and Governance (2 works) · Political science (2 works) · Agricultural risk and resilience (1 works) · Armed conflict (1 works) · Artificial Intelligence (1 works) · Brier score (1 works)