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SFI SHORT COURSE ON COMPLEXITY

Exploring Complexity in Networks and Big Data

July 26-28, 2017 - Venue TBD, New York City, New York
Register Now Here

We are in an age of information, with nearly every scientific field awash in new data. Thus, making sense of large sets of real-world data stands as a preeminent challenge for modern science. Massive data sets, whether they record food web relationships, online friendships, or distributions of utilities like electricity, are often described by mathematical network models that give structure to the data – and help us better understand the relationships hidden within it.

As we seek out the structures, patterns and attributes of large data sets, we also pursue the broader question of how a network’s structure gives rise to its dynamics. In doing so, we hope to understand the similarities and differences between social networks, economies, power grids, and food webs.

This accessible three-day executive education course provides an intensive introduction to the field of complexity as it relates to Networks and Big Data. Through lectures, 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 of 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.