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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Opening a centuries-old window on innovation

Patents are one of the best sources of data on technology development — an open-ended, historical and adaptive system that shows us how and why inventions have come to be. But is the U.S. patent system broken?

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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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Two SFI faculty elected to AAAS

SFI Professor Cristopher Moore and External Professor John Rundle have been named fellows of the American Association for the Advancement of Science.

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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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