Freedom and individual responsibility, entrepreneurial spirit and open-mindedness: ETH Zurich stands on a bedrock of true Swiss values. Our university for science and technology dates back to the year 1855, when the founders of modern-day Switzerland created it as a centre of innovation and knowledge.
At ETH Zurich, students discover an ideal environment for independent thinking, researchers a climate which inspires top performance. Situated in the heart of Europe, yet forging connections all over the world, ETH Zurich is pioneering effective solutions to the global challenges of today and tomorrow.
Agile Software Development
Computing: Art, Magic, Science
Computing: Art, Magic, Science - Part II
Introduction to Web Cartography: Part 1
Introduction to Web Cartography: Part 2
Professor, Computational Social Science, ETH Zurich
Dirk Helbing is Professor of Computational Social Science at the Department of Humanities, Social and Political Sciences and affiliate of the Computer Science Department at ETH Zurich. He earned a PhD in physics and was Managing Director of the Institute of Transport & Economics at Dresden University of Technology in Germany. He is internationally known for his work on pedestrian crowds, vehicle traffic, and agent-based models of social systems. Furthermore, he coordinates the FuturICT Initiative (http://www.futurict.eu), which focuses on the understanding of techno-socio-economic systems, using smart data. His work is documented in hundreds of scientific articles, keynote lectures and media reports worldwide. Helbing is an elected member of the prestigious German Academy of Sciences "Leopoldina" and worked for the World Economic Forum’s Global Agenda Council on Complex Systems. He is also co-founder of the Physics of Socio-Economic Systems Division of the German Physical Society and of ETH Zurich’s Risk Center. In 2013, he became a board member of the Global Brain Institute in Brussels. Within the ERC Advanced Investigator Grant "Momentum" he works on social simulations based on cognitive agents. His recent publication in Nature discusses globally networked risks and how to respond. In a further publication in Science, he furthermore contributed to the discovery of the hidden laws of global epidemic spread. On January 10, 2014, he received a honorary PhD from Delft University of Technology, where he is now heading the PhD program "Engineering Social Technologies for a Responsible Digital Future".
Associate Professor, Singapore University of Technology and Design
Bige Tunçer is an associate professor at Singapore University of Technology and Design. She leads the Informed Design Group, which focuses on data collection, information and knowledge modeling and visualization, for informed architectural and urban design. She has led and participated in various research projects in design computation. She currently leads a large multi-disciplinary project, investigating multi-modal data collection on user and usage information of public spaces in residential new towns, and develops a design system for the adaptive redesign of such spaces. She has taught many design computation and studio courses to undergraduate and graduate students. Currently she teaches Capstone, where all engineering and architecture students form groups to work on industry defined and funded design projects and develop prototypes.
Lead, Urban Complexity Project, ETH Future Cities Lab
Markus Schläpfer is currently leading the Urban Complexity project at the ETH Future Cities Lab in Singapore. After receiving his PhD from ETH Zurich in Mechanical Engineering, he conducted postdoctoral fellowships at MIT's Senseable City Lab and at the Santa Fe Institute, USA. His main research goals are the derivation of predictive quantitative models for the spatial organization of cities and its interplay with the optimal layout of urban infrastructure networks such as the energy supply system. To that end, Markus Schläpfer grounds his research on the increasing availability of large-scale data on human activities such as those automatically collected from mobile phone networks. He applies and further develops tools from network theory and complexity science to gain a comprehensive view of the dynamics of various cities worldwide.
Postdoctoral Fellow, Chair of Information Architecture, ETH Zurich
Matthias Standfest is an architect with main interests directed towards understanding the geometric impact on architecture performance models using machine learning methods. As a researcher at ETH Zurich with Dr. Gerhard Schmitt and as a guest at FCL Singapore with Dr. Ludger Hovestadt, he has balanced method development for mesh based deep learning techniques with the application of these tools to predict urban simulation results in real time. His future research plans are aimed at extending these methods in order to use data streams of anthropocentric urban sensing setups to correlate human biofeedback with architectural design patterns. His aim is to establish a data driven workflow for predicting the holistic effects of formal architectural and urban design decisions in various scales.