Daniel Racek
dracek.bsky.social
Daniel Racek
@dracek.bsky.social
Head of Data Science for Conflict Research CCEW @CISS
PhD in Statistics from LMU
Pinned
📢 NEW PAPER ALERT
Our paper “Capturing the spatio-temporal diffusion effects of armed conflict: A non-parametric smoothing approach” got published in the Journal of Royal Statistical Society Series A.

Many thanks to my co-authors P. Thurner & G. Kauermann.
academic.oup.com/jrsssa/advan...
[1/5]
Capturing the spatio-temporal diffusion effects of armed conflict: A nonparametric smoothing approach
Abstract. Facilitated by advancements in conflict event databases, studies have moved towards predicting armed conflict and understanding its determinants
academic.oup.com
Reposted by Daniel Racek
📣 Next week: CCEW Symposium (co-hosted with the German Federal Foreign Office)

“The Potential of Data, AI & Interdisciplinary Analysis in Situational Awareness and Decision Making.”

📅 17–18 Sep 2025:📍Berlin

The full program is available here: go.unibw.de/sym25en
Symposium on Crisis Early Warning
go.unibw.de
September 11, 2025 at 12:04 PM
Reposted by Daniel Racek
🚀 We're live!

We’re excited to officially introduce you to the new Bluesky account of the Center for Crisis Early Warning (CCEW)!

We conduct quantitative conflict research and predictive analytics to deliver evidence-based early warning.

👉 Follow us for updates!
September 11, 2025 at 12:00 PM
Reposted by Daniel Racek
🆕 Capturing the Spatio-Temporal Diffusion Effects of Armed Conflict: A Non-parametric Smoothing Approach

💡@dracek.bsky.social‬ Thurner and Kauermann develop a statistical model to capture the spatio-temporal
diffusion effects of armed conflict (@lmumuenchen.bsky.social‬)

doi.org/10.1093/jrss...
Capturing the spatio-temporal diffusion effects of armed conflict: A nonparametric smoothing approach
Abstract. Facilitated by advancements in conflict event databases, studies have moved towards predicting armed conflict and understanding its determinants
doi.org
August 6, 2025 at 3:13 PM
📢 NEW PAPER ALERT
Our paper “Capturing the spatio-temporal diffusion effects of armed conflict: A non-parametric smoothing approach” got published in the Journal of Royal Statistical Society Series A.

Many thanks to my co-authors P. Thurner & G. Kauermann.
academic.oup.com/jrsssa/advan...
[1/5]
Capturing the spatio-temporal diffusion effects of armed conflict: A nonparametric smoothing approach
Abstract. Facilitated by advancements in conflict event databases, studies have moved towards predicting armed conflict and understanding its determinants
academic.oup.com
July 31, 2025 at 1:01 PM
Reposted by Daniel Racek
🚨New Preprint (wish it were less timely)🚨
We map everyday behavioral patterns of authoritarians using smartphone data, providing an updated portrait of authoritarianism in the digital age. w/ Timo Koch, @clemensstachl.bsky.social, @dracek.bsky.social, Ramona Schoedel, et al
osf.io/preprints/ps...
April 16, 2025 at 7:52 PM