Venue: Hilton Garden Inn Austin Downtown, Austin, TX
Program Coordinator: Melanie Mitchell, Professor, Computer Science, Portland State University; External Professor, Santa Fe Institute; author of Complexity: A Guided Tour, winner of Phi Beta Kappa Society's 2010 Book Award in Science.
Summary: This two-and-a-half day introductory course focuses on the science of networks: a new field that studies common principles of complex networks across disciplines. Social and economic networks, food webs, the World Wide Web, and the power grid are examples of the kinds of systems that network science seeks to understand. In this course, taught by prominent Santa Fe Institute faculty and associates, you will learn the basic concepts and tools of this new science, and see several case studies of their application in diverse areas. You will also have the opportunity for discussion with the faculty and other participants about applications within your own areas of interest. You will come away with an understanding and appreciation of the importance of network science for biology, ecology, economics, business, human health, social life, and other pursuits.
Additional information about the course, a detailed schedule, and logistics can be found on our wiki.
We are pleased to offer five Business Network Member tuitions at a 50% discount off the current $1,200 fee. Network members will be responsible for their own meals and housing. Additional slots may be available at regular tuition cost. The five reduced-tuition slots are available on a first-come, first-served basis by return email to Casey Cox.
August 25 - 27, 2015 - Santa Fe Institute - Santa Fe, New Mexico
Social systems are intrinsically complex, whether they are groups of interacting ants, humans, companies, cities, or societies. How do such systems organize themselves to produce sophisticated collective behavior? How do they adapt and learn in the face of changing circumstances? How does group cooperation emerge from social yet selfish individuals, and how can such cooperation be fostered? What causes social systems, including economies, to fail or collapse, and what makes them resilient? By approaching these and other profound questions of social science from a complexity perspective, scientists are beginning to understand and predict social behavior in wholly new ways.
The ability to mathematically model complex systems has become a prerequisite to successful science in any field. Writing a simulation is not enough; career scientists today should be able to analyze results, recognize statistical regularities, formulate conjectures, and pursue possible proofs about why these conjectures are true. This hands-on summer program will give you a toolbox for understanding and using mathematical modeling in complex systems and your discipline.
"The Santa Fe Institute Complex Systems Summer School (CSSS) is world class. Combining the latest thinking from world leading scientists, true multidisciplinary perspectives, and the passion from 50 or more of the best and brightest attendees is inspiring. With the diversity of people, country representation and perspectives, breakthrough research is established in a wide range of new areas."
Economic growth and human development are properties of urbanizing human societies. But cities also concentrate most of the world’s human population and the strongest challenges to local and global sustainability, related to increased resource consumption, pollution, wastes, and many forms of impact on biodiversity, both within and beyond urban areas. Thus, it is often said that the battle for sustainable development will be won or lost in cities.
This accessible three-day executive education course provides an intensive introduction to the field of complexity as it relates to Innovation and Invention. Through lectures, mini projects, exercises, and interactive discussions with prominent SFI faculty and your fellow participants, you will learn how methods and tools at the forefront of complexity science are being applied to modeling, predicting, and impacting the behavior systems across many disciplines.
This course is specifically designed for professionals, faculty, students, and others who are eager to explore and apply ideas from complexity in their own fields. No background in science or mathematics is required. We particularly encourage professionals, managers and policy-makers in business, government, and nonprofit organizations; industrial research and development staff; social work and education professionals; journalists; and university faculty and students to take part in this collaborative opportunity to learn, and apply, the latest approaches to critical problems.
Complexity and healthcare have always gone hand-in-hand, but for today’s medical and health professionals, ensuring that patients receive optimal care is only getting more challenging.
Whether you’re diagnosing symptoms, predicting -- and preventing -- the spread of disease, or building vital healthcare infrastructure, understanding complex systems has never been more important.
This accessible (no math or science background required), three-day course is designed to give healthcare professionals, faculty, policy-makers and students an intensive introduction to complex systems as they apply to health and medicine.
During an SFI Community Lecture on Tuesday evening, August 30, in Santa Fe, Rosalind Picard reveals some surprises she has ...
Drawing from network science, decision-making tools with artificial intelligence, and social influence theories, experts gathered at SFI recently to explore ...
To prepare for climate change, urbanization, or antibiotic resistance, we need to know how the microbial world we are immersed ...
Watch linguist John McWhorter deliver a community lecture in which he rethinks the widely-held belief that the language we speak ...
During a working group this week at SFI, roughly a dozen ecologists and computer scientists will explore ways emerging technologies ...