Publications

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Top Publications

Sorted chronologically descending
Title	Journal / Conference
Using Natural Language Processing to Analyse Text Data in Behavioural Science	Nature Reviews Psychology
Trust in Scientists and their Role in Society Across 68 Countries	Nature Human Behaviour
AI Machine Translation Tools Must be Taught Cultural Differences Too	Nature
Causal Machine Learning for Predicting Treatment Outcomes	Nature Medicine
Addressing Climate Change with Behavioral Science: A Global Intervention Tournament in 63 Countries	Science Advances
From Scarcity to Abundance: Scholars and Scholarship in an Age of Generative Artificial Intelligence	Academy of Management Journal
Research can Help to Tackle AI-Generated Disinformation	Nature Human Behaviour
Message Framing to promote Solar Panels	Nature Communications
Building Open Source AI	Nature Computational Science
Data-Driven Allocation of Preventive Care With Application to Diabetes Mellitus Type II	Manufacturing & Service Operations Management (MSOM)
Addressing distributional shifts in Operations Management: The case of order fulfillment in customized production	Production and Operations Management
Algorithmic Fairness in Business Analytics: Directions for Research and Practice	Production and Operations Management
Bringing artificial intelligence to business management	Nature Machine Intelligence
Data-driven allocation of development aid towards Sustainable Development Goals: Evidence from HIV/AIDS	Production and Operations Management
Negativity drives online news consumption	Nature Human Behaviour
Monitoring global development aid with machine learning	Nature Sustainability
Monitoring the COVID-19 epidemic with nationwide telecommunication data	Proceedings of the National Academy of Sciences
Using explainable artificial intelligence to improve process quality: Evidence from semiconductor manufacturing	Management Science
I Will Survive: Predicting Business Failures From Customer Ratings	Marketing Science

Further Publications

Sorted chronologically descending
Title	Journal / Conference
Learning Representations of Instruments for Partial Identification of Treatment Effects	ICML 2025
A Brave New World of Human Resources Research: Navigating Perils and Identifying Grand Challenges of the GenAI Revolution	Journal of Management (JOM)
The Role of Social Media Ads for Election Outcomes: Evidence from the 2021 German Election	PNAS Nexus
A New Machine Learning Approach Answers What-If Questions	MIT SMR
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets	ICLR 2025
Model-agnostic Meta-learners for Estimating Heterogeneous Treatment Effects Over Time	ICLR 2025
Stabilized Neural Prediction of Potential Outcomes in Continuous Time	ICLR 2025
Differentially Private Learners for Heterogeneous Treatment Effects	ICLR 2025
Perceptions of Science, Science Communication, and Climate Change Attitudes in 68 Countries – the TISP Dataset	Nature Scientific Data
Analyzing User Characteristics of Hate Speech Spreaders on Social Media	WWW 2025
Explainable AI Improves Task Performance in Human-AI Collaboration	Scientific Reports
A Qualitative Analysis of Remote Patient Monitoring: How a Paradox Mindset Can Support Balancing Emotional Tensions in the Design of Healthcare Technologies	CSCW 2025
Data-Driven Dynamic Police Patrolling: An Efficient Monte Carlo Tree Search	European Journal of Operational Research
DiffPO: A Causal Diffusion Model for Learning Distributions of Potential Outcomes	NeurIPS 2024
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner	NeurIPS 2024
The International Climate Psychology Collaboration: Climate Change-related Data Collected from 63 Countries	Nature Scientific Data
A Fused Large Language Model for Predicting Startup Success	European Journal of Operational Research
Auditing Targeted Political Advertising on Social Media During the 2021 German Election	PNAS Nexus
Comparing the willingness to share for human-generated vs. AI-generated fake news	CSCW 2024
Causal Machine Learning for Cost-Effective Allocation of Development Aid	KDD 2024
HQP: A Human-Annotated Dataset for Detecting Online Propaganda	ACL Findings
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments	ICML 2024
Fair Off-Policy Learning from Observational Data	ICML 2024
Multimodal In-Vehicle Hypoglycemia Warning for Drivers With Type 1 Diabetes: Design and Evaluation in Simulated and Real-World Driving	JMIR Human Factors
Data-driven Subgrouping of Patient Trajectories with Chronic Diseases: Evidence from Low Back Pain	CHIL 2024
Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine	CSCW 2024
Machine Learning to Infer a Health State Using Biomedical Signals — Detection of Hypoglycemia in People with Diabetes while Driving Real Cars	NEJM AI
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework	ICLR 2024
A Neural Framework for Generalized Causal Sensitivity Analysis	ICLR 2024
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation	ICLR 2024
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation	ICLR 2024
A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions	TMLR
Sequential Deconfounding for Causal Inference with Unobserved Confounders	CLeaR 2024
In-Vehicle Voice Warning for Hypoglycemia: A Simulated and Real-Driving Study	JMIR Human Factors
Smartwatches for Non-invasive Hypoglycaemia Detection During Cognitive and Psychomotor Stress	Diabetes, Obesity and Metabolism
Which Linguistic Cues Make People Fall for Fake News? A Comparison of Cognitive and Affective Processing	CSCW 2024
The Virality of Hate Speech on Social Media	CSCW 2024
Designing Electricity Distribution Networks: The Impact of Demand Coincidence	European Journal of Operational Research
DSG: An End-to-End Document Structure Generator	ICDM 2023
Locating Disparities in Machine Learning	IEEE BigData 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis	NeurIPS 2023
Reliable Off-Policy Learning for Dosage Combinations	NeurIPS 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model	NeurIPS 2023
Russian propaganda on social media during the 2022 invasion of Ukraine	EPJ Data Science
Leveraging large language models to monitor climate technology innovation	Environmental Research Letters
Generative AI	Business & Information Systems Engineering (BISE)
Affective Information Processing of Fake News: Evidence from NeuroIS	European Journal of Information Systems (EJIS)
Glycaemic Patterns of Male Professional Athletes With Type 1 Diabetes During Exercise, Recovery and Sleep: Retrospective, Observational Study Over an Entire Competitive Season	Diabetes, Obesity and Metabolism
Normalizing Flows for Interventional Density Estimation	ICML 2023
Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior?	CSCW 2023
New threats to society from free-speech social media platforms	CACM
Machine learning for non-invasive sensing of hypoglycemia while driving in people with diabetes	Diabetes, Obesity and Metabolism (DOM)
Analyzing Social Media Activities at Bellingcat	WebSci'23
Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals with Prediabetes or Diabetes: Retrospective Cohort Study	JMIR
Contrastive Learning for Unsupervised Domain Adaptation of Time Series	ICLR 2023
Estimating individual treatment effects under unobserved confounding using binary instruments	ICLR 2023
Estimating Conditional Average Treatment Effects with Missing Treatment Information	AISTATS 2023
Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving	ACM Conference on Human Factors in Computing Systems 2023
Estimating average causal effects from patient trajectories	AAAI Conference on Artificial Intelligence (AAAI-23)
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation	EMNLP 2022
Selecting Advanced Analytics in Manufacturing: A Decision Support Model	Production Planning & Control
Context-Adaptive Visual Cues for Safe Navigation in Augmented Reality Using Machine Learning	International Journal of Human-Computer Interaction
"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics	CSCW 2022
Machine Learning for Predicting the Risk of Transition from Prediabetes to Diabetes	Diabetes Technology & Therapeutics
The methodologies to assess the effects of non-pharmaceutical interventions during COVID-19: a systematic review	European Journal of Epidemiology
Finding Qs: Profiling QAnon Supporters on Parler	ICWSM 2023
Online Emotions During the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler	ICWSM 2023
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine	MLHC 2022
Data-driven dynamic treatment planning for chronic diseases	European Journal of Operational Research
Generalizing Off-Policy Learning under Sample Selection Bias	UAI 2022
Interpretable Off-Policy Learning via Hyperbox Search	ICML 2022
Causal Transformer for Estimating Counterfactual Outcomes	ICML 2022
A Scalable Risk Scoring System for COVID-19 Inpatients Based on Consumer-grade Wearables: Statistical Analysis and Model Development	JMIR Formative Research
Estimating and explaining cross-country variation in the effectiveness of non-pharmaceutical interventions during COVID-19	Scientific Reports
Mining points-of-interest data to predict urban inequality: Evidence from Germany and France	Conference ICWSM
Web Mining to Inform Locations of Charging Stations for Electric Vehicles	Conference WWW Companion 2022
Augmented Reality for Machine Setups: Task Performance and Usability Evaluation in a Field Test	Procedia CIRP
Detecting False Rumors from Retweet Dynamics on Social Media	TheWebConf 2022
A Deep Markov Model for Clickstream Analytics in Online Shopping	TheWebConf 2022
Emotions explain differences in the diffusion of true vs. false social media rumors	Scientific Reports
Analyzing Patient Trajectories with Artificial Intelligence	Journal of Medical Internet Research (JMIR)
A Latent Customer Flow Model for Interpretable Predictions of Check-In Counts	IEEE International Conference on Big Data
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies	Machine Learning for Health (ML4H)
A network analysis of drug combinations associated with Acute Generalized Exanthematous Pustulosis (AGEP)	Journal of Clinical Medicine (JCM)
Emotions in online rumor diffusion	European Physical Journal Data Science (EPJ)
A Sociotechnical View of Algorithmic Fairness	Information Systems Journal
Contrastive Domain Adaptation for Question Answering using Limited Text Corpora	Conference on Empirical Methods in Natural Language Processing (EMNLP)
Exploring the Effect of Visual Cues on Eye Gaze During AR-Guided Picking and Assembly Tasks	IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
Estimating Average Treatment Effects via Orthogonal Regularization	Conference on Information and Knowledge Management (CIKM)
Estimating the effect of mobility on SARS-CoV-2 transmission during the first and second wave of the COVID-19 epidemic, Switzerland, March to December 2020	Eurosurveillance

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