September 19, 2013 - September 21, 2013
Noyce Conference Room
This workshop—a continuation of the dialogue on the development of a "science of cities" which has proceeded through a series of international meetings held over the past three years—will bring together leading researchers, from a variety of disciplines and with differing types of engagement with urban data, to consider the modeling possibilities and scientific limitations of Big Data in the context of studying cities. The central objective is to contribute to the lively debate on the use of data to understand and manage cities by identifying what problems can be successfully addressed with Big Data and which remain stubbornly difficult (and why). The organizers' framing perspective is that we need both scientific understanding and engineering solutions for successfully managing cities in what is fast becoming a planet of cities.
SFI Host: Geoffrey West, Luis Bettencourt, and Jose Lobo
During an October 18 SFI Community Lecture in Santa Fe, mathematician Jordan Ellenberg explored how math can help us think about the seemingly uncertain matters that dominate our lives. Watch ...
In two lectures, Seth Lloyd explores what happens when one system gains an advantage in collecting and processing information – an advantage he believes underlies all creation and destruction in our ...
A team of ecologists met at SFI recently to begin synthesizing an efficient theory that aims toward a more unified understanding of ecology.
During an SFI Community Lecture in Santa Fe, Rosalind Picard reveals some of the surprises she has discovered at the intersection of human emotion and wearable tech. Watch her talk ...
Drawing from network science, decision-making tools with artificial intelligence, and social influence theories, experts gathered at SFI recently to explore new ways to spark large-scale social change.