Archive for the ‘Systems and complexity science’ Category

Igor Nikolic graduated in 2009 on his dissertation: co-evolutionary process for modelling large scale socio-technical systems evolution. He received his MSc as a chemical– and bioprocess engineer at the Delft University of Technology. He spent several years as an environmental researcher and consultant at University of Leiden where he worked on life cycle analysis and industrial ecology. In his research he specializes in applying complex adaptive systems theory and agent based modeling.

TEDxRotterdam – Igor Nikolic – Complex adaptive systems

On TEDxRotterdam Igor Nikolic left the audience in awe with his stunning presentation and visualizations, mapping complex systems.

Seth Llyod is a Professor in the Department of Mechanical Engineering at the Massachusetts Institute of Technology MIT. His talk, “Programming the Universe”, is about the computational power of atoms, electrons, and elementary particles.

A highly recommended watch.

Brute computing force alone can’t solve the world’s problems. Data mining innovator Shyam Sankar explains why solving big problems (like catching terrorists or identifying huge hidden trends) is not a question of finding the right algorithm, but rather the right symbiotic relationship between computation and human creativity.

An advocate of human-computer symbiosis, Shyam Sankar looks for clues in big and disparate data sets.

Brute computing force alone can’t solve the world’s problems. Data mining innovator Shyam Sankar explains why solving big problems (like catching terrorists or identifying huge hidden trends) is not a question of finding the right algorithm, but rather the right symbiotic relationship between computation and human creativity.

An advocate of human-computer symbiosis, Shyam Sankar looks for clues in big and disparate data sets.

Artist Neil Harbisson was born completely color blind, but these days a device attached to his head turns color into audible frequencies. Instead of seeing a world in grayscale, Harbisson can hear a symphony of color — and yes, even listen to faces and paintings.

Neil Harbisson’s “eyeborg” allows him to hear colors, even those beyond the range of sight

Life will be much more exciting when we stop creating applications for mobile phones and we start creating applications for our own body.” (Neil Harbisson)

Hannah Fry trained as a mathematician, and completed her PhD in fluid dynamics in early 2011. After a brief period working as an aerodynamicist in the motorsport industry, she came back to UCL to work on a major interdisciplinary project in complexity science. The project spans several departments, including Mathematics and the Centre for Advanced Spatial Analysis, and focuses on understanding global social systems — such as Trade, Migration and Security. Hannah’s research interests revolve around creating new mathematical techniques to study these systems, with recent work including studies of the London Riots and Consumer Behaviour.

Talk: Is life really that complex?
Recently scientists have begun to appreciate that many of the mechanisms inherent in our social systems have analogies in seemingly unrelated problems. The movement of a crowd, for instance, can be understood using techniques traditionally applied to the flow of a fluid, and the uptake of a new technology can be predicted using knowledge of how disease spreads.
By exploiting these analogies, a new field is emerging at the interface between social sciences and mathematics, the potential of which I hope to illustrate using a mathematical model of the London Riots. Our approach can demonstrate why certain areas of the city were at higher risk than others and help determine which policing strategies may have resulted in a swifter resolution to the unrest.
We will discuss how social modelling can provide a greater understanding of our society, and help design better systems for all: from healthcare to policing and policy.

Automation of labor through stunning breakthroughs in robotics and artificial intelligence could strip away much of the unskilled labor available to humans.

Carl Bass, CEO of Autodesk, explores the future of the labor market as part of a recent episode of Singularity University’s Which Way Next.