The deadline for registration has now been extended until Friday 5th January 2018.
To what extent can the tools of complex systems research be extended from the natural to the social domain?
As complex systems perspectives on physics, biology, chemistry, and biochemistry reach increasing maturity, more and more of the big open questions for the field relate to the analysis of complex social systems.
One particularly important issue is the robustness of social institutions, in general, and democracy, in particular. What makes a democracy robust? And which processes potentially lead to instability of a democratic system?
This workshop brings together academics from the fields of mathematics, network science, biology, political studies, economics amongst others to each offer a perspective on this question from their own field of research. Ample time will be given to discussion of the different viewpoints, and to a debate of emerging ideas.
Register to attend
Confirmed speakers
Andrea Migliano – University College London
Andrea Migliano is a Lecturer in Evolutionary Anthropology at the University College London. Her academic interests focus on the evolution of human’s adaptations as well as evolutionary theory applied to the origins of human phenotypic diversity, gene-culture co-evolution, as well as adaptations of hunter-gatherers and small scale societies.
David Garcia – Medical University of Vienna
David Garcia is a computational social scientist. He is a group leader at the Complexity Science Hub Vienna. His research focuses on computational social science, designing models and analysing human behaviour through digital traces. His main work revolves around the topics of emotions, cultures, and political polarization, combining statistical analyses of large datasets of online interaction with agent-based modeling of individual behaviour.
Didier Sornette – ETH Zurich
Didier Sornette is Professor on the Chair of Entrepreneurial Risks at the Swiss Federal Institute of Technology Zurich. He is also a professor of the Swiss Finance Institute, and a professor associated with both the department of Physics and the department of Earth Sciences at ETH Zurich. He is the author of numerous books, amongst them Why Stock Markets Crash? and Critical Phenomena in Natural Sciences.
Don Ross – University College Cork
Don Ross is Professor of Philosophy at University College Cork, Ireland; Professor of Economics at the University of Cape Town, South Africa; and Program Director for Methodology at the Center for Economic Analysis of Risk, Georgia State University, USA. His research focuses on the foundations of economic theory, the experimental economics of addiction, risk, and time preference, philosophy of science, and infrastructure, trade and industry policy in Africa.
Henry Farrell – George Washington University
Henry Farrell is Professor of Political Science and International Affairs at George Washington University. He works on a variety of topics, including trust, the politics of the Internet and international and comparative political economy. He has written articles and book chapters as well as a book, The Political Economy of Trust: Interests, Institutions and Inter-Firm Cooperation, published by Cambridge University Press.
Patricia Palacios – Ludwig-Maximilian University of Munich
Patricia Palacios is a doctoral fellow at the Munich Center for Mathematical Philosophy at LMU Munich. Her areas of interest are general philosophy of science (especially problems concerning explanation, reduction and emergence) and in philosophy of physics (mainly foundations of statistical mechanics). Her current research focuses on philosophical problems raised by phase transitions.
Stephan Lewandowsky – University of Bristol
Stephan Lewandowsky is Professor of Psychology at the University of Bristol. He is a cognitive scientist with an interest in computational modeling. He examines the persistence of misinformation in society, and how myths and misinformation can spread. I has become particularly interested in the variables that determine whether or not people accept scientific evidence, for example surrounding vaccinations or climate science.
Tina Eliassi-Rad – Northeastern University
Tina Eliassi-Rad is an Associate Professor of Computer Science at Northeastern University in Boston, MA. She is also on the faculty of Northeastern’s Network Science Institute. Her research is rooted in data mining and machine learning; and spans theory, algorithms, and applications of massive data from networked representations of physical and social phenomena. Tina’s work has been applied to personalized search on the World-Wide Web, statistical indices of large-scale scientific simulation data, fraud detection, mobile ad targeting, and cyber situational awareness.
How to register
Tickets to attend this event can be purchased via the Universities online shop. Please note that the deadline for registrations is Friday 5 January.
Prices:
Academic fee – £50.00
Postgraduate Student fee – £30.00
Undergraduate Student fee – £10.00
There is the possibility to contribute a short talk (10-15 minutes). To apply, please, send a half-page abstract and links to any relevant publications to maths-conference-administrator@bristol.ac.uk by December 5. Notification of acceptance will be sent by 15 December.
Venue, travel and accommodation
The event will be held at M Shed, located on the harbourside, a five to 10 minute walk from the city centre or a 20 minute walk from Bristol Temple Meads train station. Further travel information can be found here.
For information on the range of accommodation options available, please see the Visit Bristol website.
Programme
Thursday 11 January
9:00 am – Registration, tea and coffee
9:30 am – Welcome
10:00 am – Talk and discussion sessions (full schedule and timings to be confirmed)
5:00 pm – Buffet reception
6:30 pm – Evening public talk
Friday 12 January
9:00 am – Tea and coffee
9:30 am – Talk and discussion sessions (full schedule and timings to be confirmed)
4:30 pm – Closing comments
5:00 pm – Event close
Organising committee
Karoline Wiesner, School of Mathematics, University of Bristol
Karim Thebault, Department of Philosophy, University of Bristol
Alvin Birdi, Department of Economics, University of Bristol
For practical information, please contact the Maths Conference Administrator.
Some problems are easy. Some problems are hard. Some problems seem so hard that they’ve got a bounty to their name. One such problem is a meta-problem: a problem about problems. Or, to give it a name, P vs NP: are problems really as hard as we think they are? If so, what does this mean for maths, computing and even humanity itself? This talk will introduce and explain the problem, hardness and complexity theory. And who knows, maybe you’ll even win a million dollars…
