Comes, T., et al. The Coordination‐Information Bubble in Humanitarian Response: Theoretical Foundations and Empirical Investigations. Production and Operations Management (2020)https://doi.org/10.1111/poms.13236 Abstract: Humanitarian disasters are highly dynamic and uncertain. The shifting situation, volatility of information, and the emergence of decision processes and coordination structures require humanitarian organizations to continuously adapt their operations. In this study,…
Machine Learning for Decision Making under Deep Uncertainty
By Adolfo De Unánue During the last couple of decades we have witnessed an increase of Data Science applications to almost all kinds of practical problems, or at least that’s what we have been told. However, if we look closer to this undeniable accomplishment, we will discover that the most…
From Poverty to Disaster and Back: a Review of the Literature (2020)
Hallegatte, S., Vogt-Schilb, A., Rozenberg, J. et al. From Poverty to Disaster and Back: a Review of the Literature. EconDisCliCha 4, 223–247 (2020). https://doi.org/10.1007/s41885-020-00060-5 Abstract:Poor people are disproportionally affected by natural hazards and disasters. This paper provides a review of the multiple factors that explain why this is the case. It explores the role of…
Vulnerability and risk: climate change and water supply from California’s Central Valley water system (2020)
Ray, P., Wi, S., Schwarz, A. et al. Vulnerability and risk: climate change and water supply from California’s Central Valley water system. Climatic Change 161, 177–199 (2020).https://doi.org/10.1007/s10584-020-02655-z Abstract:Water allocation institutions globally must operate within legal and political contexts established by precedent and codified in operating rules, even as they flex and adjust to climate change….