Complexity Science and Past Complex Systems

TORCH PastNet

How can complexity science help us better understand past and present complex social systems as diverse as the Roman economy and online social networks? This one-day workshop will explore the role complexity science, and in particular its use of network approaches, can play for the study of the human past, and how it enables comparisons between past and present-day complex social systems.
Complexity science is now a thriving field and its application for the study of the human past shows huge potential. This workshop will explore this potential.
A complex system consists of separate entities that interact according to a set of often very simple rules, but together those entities give rise to unexpected properties that are very different from the properties of the entities that produced them. The human brain can be considered a complex system, in which neurons communicate via synapses but collectively give rise to phenomena such as consciousness. Not just individual humans but also entire past, present and future human societies can be conceptualized as such complex systems and studied from the perspective of complexity science. The network approaches that lie at the heart of PastNet make up a big part of the complexity science toolbox to study complex systems.
Keynote speaker: Prof. <A HREF="http://www.diaz-guilera.net/Albert_Diaz-Guilera/index.php" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Albert Diaz Guilera</A> (University of Barcelona, Director of the University of Barcelona Institute for Complex Systems)
Preliminary programme: 9:30 registration and coffee 10:00 <A HREF="https://www.maths.ox.ac.uk/people/renaud.lambiotte" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Renaud Lambiotte</A>: multi-body networks 10:30 <A HREF="http://ubics.ub.edu/people_post.php?id=77" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Tom Brughmans</A>: Exploring visual signalling networks of Medieval strongholds in Garhwal Himalaya, India 11:00 keynote <A HREF="http://www.diaz-guilera.net/Albert_Diaz-Guilera/index.php" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Albert Diaz Guilera</A>: A Complex Systems Perspective of the Human Past<A HREF="http://www.diaz-guilera.net/Albert_Diaz-Guilera/index.php" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer"> </A>12:00 lunch and coffee 13:00 <A HREF="https://www.imperial.ac.uk/people/t.evans" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Tim Evans</A>: Was Thebes Really Necessary? Uncertainty in Spatial Modelling 13:30 <A HREF="https://www.phy.cam.ac.uk/directory/ahnerts" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Sebastian Ahnert</A>: Analysing historical networks of power<A HREF="https://www.phy.cam.ac.uk/directory/ahnerts" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer"> </A>14:00 <A HREF="https://www.inet.ox.ac.uk/people/rita-maria-del-rio-chanona/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Maria del Rio-Chanona</A>: Automation and occupational mobility: A data-driven network model 14:30 <A HREF="http://www.ed.kagawa-u.ac.jp/~aoki/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Takaaki Aoki</A>: Population distribution as pattern formation on landscapes: From ancient roman cites to modern Italy
15:00 pub time
This event is organised by <A HREF="https://www.torch.ox.ac.uk/pastnet-network" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">PastNet</A>, an interdisciplinary research network of Oxford-based researchers with a shared interest in the use of network approaches for the study of social systems and the human past.
PastNet and this workshop are supported by <A HREF="https://www.torch.ox.ac.uk" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">TORCH</A>, the Oxford Research Centre in the Humanities.

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Complexity Science and Past Complex Systems

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