D. Paulus MSc
D. Paulus MSc
David is a PhD researcher in the Organization & Governance Section since 2018. From 2017-2018 he implemented a project that researched how open humanitarian data (HDX, IATI, Kobo) can inform localized disaster risk reduction (DRR) and climate change adaption (CCA) initiatives. From 2014-2017 he worked for the United Nations University on ICT-supported institutional development and capacity building projects on DRR and CCA. He holds a MSc degree in Information Systems. During his studies he worked at the Fraunhofer Institute for Human Factors and Technology Management and the German Agency for International Cooperation.
David researches how data analysis and decision-making can be improved in humanitarian crisis response. His focus is on cognitive and data biases and possible bias mitigation strategies. He uses an inter-disciplinary approach combining computer science with psychology and organization science. His main research methods are interviews, document analysis, online and workshop experiments, and statistical analysis. His case study is the humanitarian crisis in Yemen.
Reinforcing data bias in crisis information management
The case of the Yemen humanitarian response
David Paulus / Gerdien de Vries / Marijn Janssen / Bartel Van de Walle
On the Interplay of Data and Cognitive Bias in Crisis Information Management
An Exploratory Study on Epidemic Response
David Paulus / Ramian Fathi / Frank Fiedrich / Bartel Van de Walle / Tina Comes
The influence of cognitive bias on crisis decision-making: Experimental evidence on the comparison of bias effects between crisis decision-maker groups
D. Paulus / G. de Vries / M.F.W.H.A. Janssen / Bartel Van de Walle
The Reality of Evidence-based Decision Making in Humanitarian Programming
An Exploratory Study of WASH Programs in Uganda
Milan Khanpour / Kenny Meesters / David Paulus