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 SFI Community Lecture on Tuesday evening, August 30, in Santa Fe, Rosalind Picard reveals some surprises she has discovered at the intersection of human emotion and wearable tech.
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.
To prepare for climate change, urbanization, or antibiotic resistance, we need to know how the microbial world we are immersed in will respond to stress. A recent SFI meeting sought ...
Watch linguist John McWhorter deliver a community lecture in which he rethinks the widely-held belief that the language we speak shapes how we experience life.
During a working group this week at SFI, roughly a dozen ecologists and computer scientists will explore ways emerging technologies might help researchers better understand why and how individuals in ...