We recently announced a series of office hours as part of a virtual career mentoring program. We are kicking off this series with two office hours hosted in September, with Nidhi Kalra and Antonia Hadjimichael. If you’d like to volunteer to be a mentor at a future session, please reach…
Announcing a new “office hours” mentoring program for early career members
Dear DMDU members, The leadership team is starting a virtual “office hour” program for early career members who would like to receive career guidance from other members (“mentors”). We will set up meetings every month or twice a month (depending on the number of mentors), during which a mentor will…
Call for Volunteers for the DMDU Society Finance Team
Our Society has prospered since its founding. We have made tangible progress on our goals of communicating and sharing the findings of our research, disseminating knowledge in application and practice, education and training, career development, and building within the Society a sense of community while also creating community with other…
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…