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SRI 'Real-World-Inspired Sequential Decision-Making'

SRI 'Real-World-Inspired Sequential Decision-Making'

Abstract/description

The SRI focuses on establishing a community of researchers with different mathematical backgrounds to advance the development of new solution methods for sequential decision-making problems and prove performance guarantees of those methods, with a special focus on problems that exhibit real-world characteristics such as those found in finance, agriculture, and healthcare. The initiative seeks to address gaps in research and collaboration. It emphasizes methodological development with regard to uncertainty, large-scale systems, and non-stationarity, e.g., due to multiple agents, aiming to bridge theoretical advancements and practical implementations.

This SRI started on 1 January 2025 and aims to reach its goals before 1 January 2027.

Goals

Short-Term Goals:

  1. Build a sustainable mathematical community by fostering collaboration among diverse researchers
  2. Enhance visibility and establish connections with other research communities in related fields.

Long-Term Goals:

  1. Develop educational programs such as a PhD summer school, national Master’s courses, and workshops.
  2. Write joint research proposals to secure funding and ensure the community's sustainability

Timeline

Year 1:

Year 2:

Participants

Contact persons

Other members