@lmumuenchen.bsky.social @jrssa.bsky.social
31.07.2025 13:12 — 👍 0 🔁 0 💬 0 📌 0
Making explicit use of the grid-based structure, model estimation can be carried out efficiently with the R package mgcv, allowing for complex model fits over large sets of areas (e.g. continents). We provide a tutorial on how researchers can apply our method for their own work in our paper. [5/5]
31.07.2025 13:10 — 👍 0 🔁 0 💬 1 📌 0
We demonstrate how conflict is triggered across cells, over both varying distances and time lags. Diffusion is heavily driven by population structures. Conflict generally breaks out in densely populated areas and from there diffuses, disproportionately affecting less populated areas. [4/5]
31.07.2025 13:01 — 👍 0 🔁 0 💬 1 📌 0
We develop a generalized additive model that smooths across the spatio-temporal history of each observation, to capture these diffusion effects. Using conflict data from UCDP & PRIO grid cells across Africa, we analyze diffusion up to 550km in distance and 24 months in the past. [3/5]
31.07.2025 13:01 — 👍 1 🔁 0 💬 1 📌 0
Armed conflict exhibits substantial diffusion, i.e., spreading, across space and time. However, existing statistical models do not analyze nor fully capture these complex transmission processes. [2/5]
31.07.2025 13:01 — 👍 0 🔁 0 💬 1 📌 0
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
📢 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]
31.07.2025 13:01 — 👍 1 🔁 0 💬 1 📌 0
🚨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...
16.04.2025 19:52 — 👍 10 🔁 4 💬 1 📌 1
🌐 CEO & Co-Founder @Omega.AGI & @Omega.Space
🌍 Head of Data Science & Software CCEW @CISS
🇺🇳 Vice Chairman @DGVN.Bayern
Innovative quantitative Krisenforschung für BMVg & Auswärtiges Amt an der Universität der Bundeswehr München.
JRSS-A publishes research showing how statistics play a vital role in life and benefit society l #data l #statistics | #academic | #bayesian | #stochastic
academic.oup.com/jrsssa
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Discover groundbreaking news and research from PNAS Nexus, the sibling journal to @pnas.org - both official journals of the National Academy of Sciences. Visit www.pnasnexus.org for more information.
PostDoc @ LMU Munich
Group Leader CausalFairML
Munich Center for Machine Learning (MCML)
Asst Prof @UTAustin
"Nullius in verba"
Discussion → planetarycausalinference.org/posts
Jobs → aidevlab.org/jobs
Explore groundbreaking news and research from PNAS, one of the world's most-cited scientific journals. Discover its sibling journal, @pnasnexus.org, both official journals of the National Academy of Sciences. Visit www.pnas.org for more info.
Social Scientist, Harvard University
https://www.ryandenos.com/
https://ryandenos.substack.com/
BERD@NFDI is a research data infrastructure dedicated to transforming the way Business, Economic, and Related Data are managed.
https://www.slds.stat.uni-muenchen.de
The MCML is a joint research initiative of LMU München and TU München. It is institutionally funded by the Federal Ministry of Education and Research and the Free State of Bavaria.
PhD Student @ LMU Munich
Munich Center for Machine Learning (MCML)
Research in Interpretable ML / Explainable AI
http://www.julian-rodemann.de | PhD student in statistics @LMU_Muenchen | currently @HarvardStats
Center for Information and Language Processing (CIS): NLP research group at LMU Munich led by Hinrich Schuetze and @barbaraplank.bsky.social
PhD Student @ LMU Munich
Munich Center for Machine Learning (MCML)
Associate Prof @ LMU Munich
PI @ Munich Center for Machine Learning
Ellis Member
Associate Fellow @ relAI
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https://davidruegamer.github.io/ | https://www.muniq.ai/
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BNNs, UQ in DL, DL theory (Overparam, Implicit Bias, Optim), Sparsity
Postdoc | #NLProc researcher | @slds-lmu.bsky.social | @munichcenterml.bsky.social | @berd-nfdi.bsky.social
Assistant Prof at Imperial College London, previously Stanford GSB and UT Psych. I study identity, politics, and technology.
Communications Psychology is a selective, peer reviewed, open access journal in the @natureportfolio.bsky.social, publishing high-quality research, reviews and commentary across psychology.
https://www.nature.com/commspsychol/