2018 Ulam Lectures — The Limits of Computers in Science and Society

Despite their enormous power, computers have fundamental limits: problems that no program can solve, and thorny issues in fairness and human rights. In a two-part lecture series, SFI Professor Cristopher Moore looks at two sides of computation — the mathematical structures that make problems easy or hard, and the growing debate about fairness in algorithmic predictions.

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Learn agent-based modeling with Bill Rand

Agent-based modeling has been used to study everything from economics to biology to political science to business and management. This July, programmers and non-programmers alike can learn to model by enrolling in Introduction to Agent-based Modeling, Complexity Explorer’s massive open online course (MOOC).

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In memoriam: Alfred Hübler

A teacher, physicist, and all-around “high throughput” individual, SFI External Professor Alfred Hübler passed away Saturday, January 27, at the age of 60.

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What are the limits of scientific understanding?

Exploring the limits of scientific understanding is the query that will drive a three-day workshop at SFI, which itself aims to understand how well scientific and mathematical reasoning can comprehend complex systems.

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New paper answers causation conundrum

In a new paper, SFI's Jessica Flack offers a practical answer to one of the most significant, and most confused questions in evolutionary biology — can higher levels of organization drive the behavior of lower-level components?

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Enroll now for the Dynamics and Chaos MOOC with David Feldman

SFI's free online course, Introduction to Dynamical Systems and Chaos with College of the Atlantic professor David Feldman, begins September 4. Topics to be covered include: phase space, bifurcations, chaos, the butterfly effect, strange attractors, and pattern formation.

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