This question of how the collective influences individual performance is central to the work of SFI’s investigation into the limits of human performance. In a workshop that takes place June 25-27, experts from a range of disciplines, including physiology, organizational behavior, sports analytics and applied mathematics, explore how the collective affects the individual.
On June 11, the SFI Press released the second volume in its Seminar Series, The Emergence of Premodern States, edited by Jeremy A. Sabloff and Paula L.W. Sabloff. This project tackles one of the most deceptively simple inquiries in archaeology: How did humans transition from hunter-gatherer societies into states — collective entities that are the movers and shakers of the modern world?
An SFI team led by Professor Mirta Galesic has received a nearly $500,000 grant from the US Department of Agriculture’s National Institute of Food and Agriculture to study how people form beliefs about genetically modified crops.
October 13-16, graduate students can meet with leading scientists to learn about modeling and evaluating the future of human populations and their environments. Free tuition for accepted students. Apply before July 11, 2018.
We humans make social judgments about ourselves and others that can appear contradictory. A new Social Sampling Model, presented by Professor Mirta Galesic and External Professor Henrik Olsson, suggest these apparently conflicting judgments can be explained by a single quantitative theory.
Complexity scientists meet at SFI to examine how collective decisions get made in biological systems and to what degree those systems share a mechanism from one system to the next.
A new proof by SFI Professor David Wolpert sends a humbling message to would-be super intelligences: you can’t know everything all the time.
Researchers analyzed new data on the Chilean elections of the 1970s to understand how economies react to institutional change.
"Algorithmic Information Dynamics: From Networks to Cells," is a new online course that will introduce students to tools that allow them to explore causal relationships in complex datasets. Register online through Complexity Explorer.
Three researchers are spending several months at SFI to tackle some big questions: “Why do we sleep less as we get older?” “What do city pigeons have in common with drug interactions?” and “Is there a trajectory underlying human history?” to name a few.
In a new study, researchers examined just how accurate our collective intelligence is and how individual bias and information sharing skew aggregate estimates. Using their findings, they developed a mathematical correction that takes into account bias and social information to generate an improved crowd estimate.
Science writer Katherine Mast chatted with ASU-SFI Fellow Elizabeth Hobson about her upcoming experiments from a grant received by the Army Research Office to conduct social science research.
New research from an interdisciplinary collaboration among historians, political scientists, and statisticians suggests that rhetorical innovations may have played a significant role in winning acceptance for the new principles of governance that built the French republic’s foundation — and inspired future democracies around the world.
The Social Reactors working group meets April 5-6 to quantify the social processes that could govern both modern and ancient cities.
A workshop at SFI in early April explores questions about scientific value. This event brings together researchers and institutional leaders who will discuss how to measure impact and improve judgment by looking at tools of complexity.