Making Decisions in a World of Uncertainty 

Pandemic, war, rising oil prices, food shortages, … there is no uncertainty about how uncertain these times are. Yet, we have to make decisions at all scales—from individuals trying to decide how to financially invest to policy-makers trying to curb epidemics with sound public health interventions. Faced with many decision-making complexities, we look to technology with its promise of data-driven insights and artificial intelligence to come to our aid. This talk examines how prescriptive analytics can help with these challenges but also discusses their limitations and what the landscape of computational decision-making looks like.

Speaker
Azza Abouzied, Associate Professor of Computer Science, NYUAD

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