ODD: Optimization under Decision-Dependent uncertainty
In our daily lives, we constantly make decisions without having all the facts, and this uncertainty is present in both personal choices and complex decisions faced by organizations. Mathematicians have played a crucial role in tackling uncertainty through probability and stochastic optimization. Stochastic optimization helps solve decision problems under uncertainty by translating them into mathematical problems. This project will significantly extend the range of decision problems we are able to solve by means of mathematics. Particularly, the project will develop new methods for decision problems where the information available to the decision maker changes with the decision made. The outcome of this project will have a signficant impact in a wide range of applications, including precision medicine, sustainability, epidemiological modeling and renewable energy systems.
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Imported from OpenAIRE | Grant NNF24OC0089770.
Open sourceOverview
Grant agreement NNF24OC0089770
Open sourceIn our daily lives, we constantly make decisions without having all the facts, and this uncertainty is present in both personal choices and complex decisions faced by organizations. Mathematicians have played a crucial role in tackling uncertainty through probability and stochastic optimization. Stochastic optimization helps solve decision problems under uncertainty by translating them into mathematical problems. This project will significantly extend the range of decision problems we are able to solve by means of mathematics. Particularly, the project will develop new methods for decision problems where the information available to the decision maker changes with the decision made. The outcome of this project will have a signficant impact in a wide range of applications, including precision medicine, sustainability, epidemiological modeling and renewable energy systems.