George Mason University
Register now for the Science of Complexity Short Course
The Santa Fe Institute and the Krasnow Institute for Advanced Study at George Mason University are offering a three day symposium entitled "The Science of Complexity: Understanding the Global Financial Crisis" May 16-18, 2012, at the spectacular new Founders Hall facility at the GMU Arlington campus. Through the lenses of finance, economics, complex systems, neuroeconomics, and computational social science, the symposium will explore the structure and dynamics of the 2008 financial crisis and its reverberations through time, including the current Eurozone crisis. Attendees will come away with a high-level understanding of the tools the sciences of complexity bring to an emerging view of these crises, including cutting-edge insights from the application of non-linear dynamics, social networks, systemic risk, experimental economics, and related approaches.
More information about the course such as an agenda, information about local accommodations, and speaker bios can be found on our.
$1,500 before May 1, 2012
$1,700 May 1, 2012 and after
In the event of a cancellation before May 1, 2012, 50% of the program tuition will be refunded. Beginning May 1, 2012 and after no refunds will be made.
SFI’s REU program provides an opportunity for young scientists from many disciplines to explore what a social science perspective brings to other fields and how traditionally quantitative disciplines can contribute to the social sciences. Each REU participant works with one or more SFI faculty mentors on a specific, mutually selected projects focusing on the computational properties of complex systems with particular, but not exclusive, emphasis on the social sciences.
The Complex Systems Summer School offers an intensive four week introduction to complex behavior in mathematical, physical, living, and social systems for graduate students and postdoctoral fellows in the sciences and social sciences. The school is for participants who seek background and hands-on experience to help them prepare to conduct interdisciplinary research in areas related to complex systems.
The program consists of an intensive series of lectures, laboratories, and discussion sessions focusing on foundational ideas, tools, and current topics in complex systems research. These include nonlinear dynamics and pattern formation, scaling theory, information theory and computation theory, adaptation and evolution, network structure and dynamics, adaptive computation techniques, computer modeling tools and specific applications of these core topics to various disciplines. In addition, participants will formulate and carry out team projects related to topics covered in the program.
The Santa Fe Institute is pleased to announce the 18th annual Graduate Workshop in Computational Social Science Modeling and Complexity. The workshop will bring together a group of advanced graduate students and a small faculty for an intensive two week study of computational social science modeling and complexity. The workshop will consist of lectures by faculty, special topic seminars by members of the Santa Fe Institute, and presentations of work in progress by graduate student participants. The primary goal of the summer workshop is to assist graduate students pursuing research agendas which includes a computational modeling component. A significant portion of the workshop will be devoted to analyzing and improving research being conducted by the graduate student participants.
This two-and-a-half day course is an intensive tour of the sciences of complexity, a broad set of effort that seek to explain how large-scale complex, organized, and adaptive behavior can emerge from simple interactions among myriad individuals. This course, sponsored by the Santa Fe Institute, is specifically designed for professionals, faculty, students and others who are curious to explore and apply this new transdisciplinary scientific approach. This course has no prerequisites and requires no specific math or science background.
More information about the course can be found on our
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.
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