SODALab@UofA (May 2022)

We are the System-driven Optimization & Decision Algorithms Lab (SODALab) based in the Department of Computing Science at the University of Alberta (UofA) and the Alberta Machine Intelligence Institute (Amii) in Edmonton, Canada. Our research seeks to address uncertainty and strategic behaviors in decision-making, using tools and insights from computer science, economics, statistics, and operations research.

At the SODALab, we view much of the modern world as systems of interacting, often self-interested, strategic agents who share and compete for limited resources amid varying dynamics and uncertainty. This perspective is particularly relevant to critical systems that significantly impact environmental, social, and economic sustainability, such as electrical grids, transportation, data centers, and the Internet. In these systems, complex interactions among multiple stakeholders are common, and ensuring robustness and resilience against unforeseen disruptions is essential. Moreover, public acceptance of unexplainable results in these contexts is generally low, if not intolerable. This drives our long-term research focus: “developing a systematic framework for decision-making under various forms of uncertainty, with provable guarantees on key metrics such as efficiency, robustness, fairness, and risk.”


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Acknowledgement: We are grateful for the generous support from the following sponsors.

UofA Amii NSERC Alberta Innovates Major Innovation Fund