||Professor J. Stephen Lansing co-directs the Complexity Institute, and is also the Faculty Associate Chair for Asian School of the Environment, at Nanyang Technological University, Singapore. He is an external professor at the Santa Fe Institute, birthplace of Complexity Theory, an Emeritus Professor of Anthropology at the University of Arizona, and a senior research fellow at the Stockholm Resilience Centre. |
Before moving to Arizona in 1998, Prof Lansing held joint appointments at the University of Michigan in the School of Natural Resources & Environment and the Department of Anthropology; earlier, he also chaired the Anthropology department of the University of Southern California. In the 1980’s, Prof Lansing and ecologist James Kremer showed that Balinese water temple networks can self-organize. Later research showed that over the centuries, water temple networks have expanded to manage the ecology of rice terraces at the scale of whole watersheds. In 2012, Bali’s water temple networks were recognized as a UNESCO World Heritage, and as the pieces of the water temple story were beginning to fall into place, Prof Lansing became interested in self-organizing processes elsewhere in the Archipelago. In 2000, he began to work with Indonesian geneticists, linguists and public health officials to study the co-evolution of social structure, language change and disease resistance on fourteen Indonesian islands. His recent publications and films are available at www.slansing.org.
Assoc Professor Cheong Siew Ann was born in Singapore in 1969. He studied Physics at the National University of Singapore, graduated in 1997 with a BSc (Hons) degree in Physics, and obtained a PhD in Theoretical Condensed Matter Physics from Cornell University in 2006. Subsequently, Prof Cheong spent 1.5 years as a postdoctoral associate with the Cornell Theory Center, working on biological sequence segmentation; following that, in August 2007, he joined Nanyang Technological University as an Assistant Professor in Physics and Applied Physics.
Prof Cheong's main research interest is in developing data analysis methods and toy models for understanding the dynamics of Complex Systems such as biological macromolecules, the brain, earthquakes, financial markets and infectious diseases. In particular, he works extensively with high-frequency, large-volume time series data - he clusters them, segments them, and also estimates Complex Networks based on significant events in such data. His other research interests are in the areas of Computational Physics and Condensed Matter Physics.