Invited Speakers
Michael Batty
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Laura Alessandretti
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Robin Dunbar
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Andrea Migliano
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Tiago de Paula Peixoto
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Yamir Moreno
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Hiroki Sayama
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Dirk Brockmann
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Adilson Motter
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Clara Granell
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Ciro Cattuto
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Heather Harrington
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Laura Alessandretti
Copenhagen Center for Social Data Science, Denmark Title: Modelling Human Mobility Twitter: @lau_retti TBA ↑ |
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Robin Dunbar
University of Oxford, UK Title: TBD Twitter: @RobinDunbar10 Robin Dunbar gained his MA from the University of Oxford and PhD from Bristol University. He is currently Professor of Evolutionary Psychology at the University of Oxford, and an emeritus Fellow of Magdalen College. He has held Research Fellowships and Professorial Chairs in Psychology, Biology and Anthropology at the University of Cambridge, Stockholm University, University College London, and the University of Liverpool. He is an elected Fellow of the British Academy, and was co-Director of the British Academy’s Centenary Research Project. His principal research interests focus on the evolution of sociality in mammals (with particular reference to ungulates, primates and humans). He is best known for the social brain hypothesis, the gossip theory of language evolution and Dunbar’s Number (the limit on the number of relationships that we can manage). His current project focusses on the mechanisms of social cohesion, and uses a range of approaches from comparative analysis to cognitive experiments to neuroimaging to explore the mechanisms that allow humans to create large scale communities. His popular science books include The Trouble With Science, Grooming, Gossip and the Evolution of Language, The Human Story, How Many Friends Does One Person Need? Dunbar’s Number and Other Evolutionary Quirks, The Science of Love and Betrayal and Human Evolution. ↑ |
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SPRINGER NATURE Invited Speaker
Yamir Moreno University of Zaragoza, Spain Prof. Yamir Moreno got his Ph.D. in Physics (Summa Cum Laude, 2000) from University of Zaragoza. He is the Director of the Institute for Biocomputation and Physics of Complex Systems (BIFI), the head of the Complex Systems and Networks Lab (COSNET) and Professor of Physics at the Department of Theoretical Physics of the Faculty of Sciences, University of Zaragoza. Prof. Moreno is also a Deputy Director of the ISI Foundation in Italy and External Professor of the Complexity Science Hub Vienna, Austria. He received the CSS Senior Scientific Award in 2019 and is an ISI Highly Cited Scientist 2019. Prof. Moreno is the elected President of the Network Science Society and was the President of the Complex Systems Society from 2015 to 2018. His field of research is in the theoretical foundations of complex systems, which he investigates using tools from mathematics, physics and network science. Prof. Moreno is a world expert on disease dynamics, diffusion processes, mathematical biology, nonlinear dynamical processes, and the structure and dynamics of complex systems. He has published more than 200 scientific papers with a total of 18500+ citations and h-index=54 (ISI WoK) or 30500+ and 64 (Google Scholar). At present, Prof. Moreno is a Divisional Associate Editor of Physical Review Letters, Editor of the New Journal of Physics, Chaos, Solitons and Fractals, and Journal of Complex Networks; an Academic Editor of PLoS ONE, and a member of the Editorial Boards of Scientific Reports, Applied Network Science, and Frontiers in Physics. Title: Biodiversity and Structural Stability of Multilayer Ecological Networks Abstract: Relations among species in ecosystems can be represented as complex networks where both negative and positive interactions are concurrently present. In the past years, such representation has spurred many advances –but also many debates– especially around mutualistic communities, whose structural features appear to facilitate mutually beneficial interactions and increase biodiversity, under some given population dynamics. However, current approaches neglect the complexity of inter-species competition by adopting a mean-field perspective that does not deal with competitive interactions properly. In this talk, we show that the information encoded in mutualistic networks can be used to build up a multilayer network that naturally accounts for both mutualism and competition. We then propose a new population dynamics that reveal that the structural stability of the system depends on an intricate relation between competition and mutualism. Finally, by performing a stability analysis, we show that May's hypothesis for the complexity of real ecosystems holds for real mutualistic networks. Twitter: @cosnet_bifi TBA ↑ |
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Hiroki Sayama Binghamton University, State University of New York, USA Waseda University, Japan Title: Diversity and Social Evolution: Theoretical and Experimental Approaches Twitter: @HirokiSayama Hiroki Sayama is a Professor in the Department of Systems Science and Industrial Engineering, and the Director of the Center for Collective Dynamics of Complex Systems (CoCo), at Binghamton University, State University of New York. He received his B.Sc., M.Sc. and D.Sc. in Information Science, all from the University of Tokyo, Japan. He did his postdoctoral work at the New England Complex Systems Institute in Cambridge, Massachusetts. His research interests include complex dynamical networks, human and social dynamics, collective behaviours, artificial life/chemistry, interactive systems, and complex systems education, among others. He is an expert of mathematical/computational modelling and analysis of various complex systems. He has published more than 150 peer-reviewed journal articles and conference proceedings papers and has written or edited 13 books and conference proceedings about complex systems related topics. He currently serves as an elected Council and Executive Committee member of the Complex Systems Society (CSS), the Chief Editor of Complexity (Wiley/Hindawi), an Associate Editor of Artificial Life (MIT Press), and as an editorial board member for several other journals. ↑ |
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Clara Granell
University of Zaragoza, Spain Title: Modeling Epidemic Spreading on multiplex and bipartite networks using MMCA Twitter: @claragranell Clara Granell Martorell is a Juan de la Cierva Postdoctoral Researcher at the Department of Physics of the Condensed Matter at the Universidad de Zaragoza, Spain. She obtained her PhD from Universitat Rovira i Virgili, in Tarragona, Spain. Her past appointments include postdoctoral training at the Department of Mathematics of the University of North Carolina at Chapel Hill and the Universitat de Barcelona Institute of Complex Systems. Her work is devoted to complex systems, with a special focus on problems suited to be represented with networks. She has experience working in Epidemic Spreading, Community Detection, Multiplex Networks as well as applying theoretical methods to real data, such as Neuronal Networks. ↑ |
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Heather Harrington
University of Oxford, UK Twitter: @haharrington Prof Harrington's research focuses on the problem of reconciling models and data by extracting information about the structure of models and the shape of data. To develop these methods, Prof Harrington integrates techniques from a variety of disciplines such as computational algebraic geometry and computational topology, statistics, optimisation, network theory, and systems biology. She is Co-Director of the Centre for Topological Data Analysis and she has been awarded a LMS Whitehead Prize and Adams Prize for her research contributions. Title: Topological data analysis for investigating dynamics on and of biological networks Abstract: Topological data analysis (TDA) allows one to examine features in data across multiple scales in a robust and mathematically principled manner, and it is being applied to an increasingly diverse set of applications. We investigate dynamics of biological networks, models and data using topological data analysis with concrete examples from contagions, neuroscience, and cancer. Time permitting, we will present preliminary results using TDA to analyse biological systems indexed by multiple parameters. ↑ |
