Marcello Basili & Antonio Nicita, 2020. “The Covid-19/SARS-CoV-2 pandemic outbreak, the risk of institutional failures and a coherent health policy,” Department of Economics University of Siena 838, Department of Economics, University of Siena. Abstract The new coronavirus CoVid-19 (SARS-Cov-2) pandemic outbreak all around theWorld puts in evidence how institutional failures may end…
DMDU Society Leadership Election Results
We are pleased to announce the results of the 2020 DMDU Society Leadership Team elections: Jan Kwakkel, President Nidhi Kalra, Vice President Sadie McEvoy, Membership Antonia Hadjimichael, Communications and Outreach Julie Rozenberg, Career Development Edmundo Molina-Perez, Education and Training Taylor Winchell, Rules and Processes Steven Popper, Fundraising Both amendments to…
Collaboration Opportunity: Robust and adaptive planning under deep uncertainties for space-based solar power
Blog post contributed by Kostas Konstantinidis. The European Space Agency (ESA) recently posted a call on space-based solar power on its idea platform (OSIP), to which I submitted a DMDU-relevant idea titled “Robust and adaptive planning under deep uncertainties for space-based solar power” that might be of interest to DMDU society members. The idea…
DMDU checklist available for comments
The DMDU checklist document is available for comments from Society members. The draft checklist can be downloaded here. The objective of this DMDU checklist is to provide guidance on the basic elements of the process and analyses that need to be followed while making an investment or planning decision in…
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…
Practical challenges in the applications of DMDU
By Tania Lopez-Cantu Throughout progress in scientific discovery and technological advancement, engineers and scientists have learned how to approach modeling of a specific physical phenomena bounded by a set of unknown but well-defined rules or choosing the best alternative out of a constrained set of possible alternatives. Under these and…
Mainstreaming resilience science, approaches, and tools in the water resources sector
By Homero Paltan and Diego Juan Rodriguez Over the last few years, Decision Making Under Deep Uncertainty (DMDU) methodologies and approaches have gained popularity to identify and address uncertainties which may affect the water sector. These uncertainties have ranged from climate change, demographic and demand shifts, or situations where stakeholders…
DMDU applications to energy and infrastructure planning
By Steven Popper The annual meeting of the Society for Decision Making under Deep Uncertainty (DMDU) will feature two panels on applications to energy and infrastructure planning. This is not surprising. These are in many ways the classic sectors in which DMDU concepts and methods first arose. Therefore, these presentations…
DMDU and Critical Infrastructure Systems
By Sibel Eker Infrastructures are critical for the smooth functioning of socioeconomic systems on Earth – “daily life” as we know it. Whether in urban or rural areas, or in the developed or developing world, our ordinary activities — from a phone call to food deliveries, from switching on the…
Adaptive planning and adaptive pathways
By Marjolijn Haasnoot The adaptation pathways approach to decision making under deep uncertainty emerged almost 15 years ago. The approach explores alternative sequences of decisions (adaptation pathways) for multiple futures and illuminates the path dependency of alternative strategies. The Dynamic Adaptive Policy Pathways method provides stepwise guidance to support the…