Participants

Professor at Queen Mary University of London, UK
Chairman of EPS Statistical and Nonlinear Physics Division

Associate Prof.Dr. at Istanbul University, Physics Department.
gcyalcin@istanbul.edu.tr

Scientific Coordinator of the Nonlinear Science Working Group
http://www.non-linearscience.org/
http://complexityscience.net/

Satellite: Asian Network of Complexity Scientists Meeting 2020
http://ccs2020.web.auth.gr/satellites

In 2004, she moved to Barcelona to develop her career as a researcher and teacher at the Polytechnic University of Catalonia, where she is a researcher in the Non-Linear Dynamics, Non-Linear Optics and Lasers (DNOLL) group. She has been distinguished twice with the ICREA Academia award in 2009 and 2015, in recognition of excellence in research.

As a DNOLL group researcher, she has participated in the development of a simpler methodology than those previously applied for the identification of an ordered structure in a chaotic system. Masoller has contributed to developing the interest of the scientific community to implement a non-linear methodology in the analysis of complex climatic phenomena, such as El Niño. Between 2012 and 2015 she directed a European project (LINC project, Learning About Interacting Network in Climate) to train 15 young researchers in the study of complex systems applied to the analysis and prediction of climate phenomena. Based on her experience with laser semiconductors, the researcher argues that complex phenomena such as weather can be studied with methodologies similar to those applied to the study of complex networks, such as neural networks, the Internet and the economic system.

She has participated as the author of more than a hundred publications in relevant scientific journals in her area and her work has been cited in other academic papers more than 4500 times.

Professor Li Daqing (Beihang University, China), is a recipient of the National Natural Science Foundation for Excellent Young Scholars. He is now combining the methods from the field of complex systems to the domain of urban science and achieved a series of innovative results. By using real-world traffic data and concept from statistical physics, we proposed an evaluation metric based on percolation theory for determining traffic reliability (2015, PNAS); the spatio-temporal propagation of congestion (Nature Communications, 2016); the existence of a crossover between different percolation patterns in the real traffic of Beijing and Shenzhen (2018, PNAS); the recovery behavior of traffic from congestion is governed by three scaling laws at all scales of congestions (2019, PNAS); urban traffic can show multi-state behavior and hysteresis (2020, PNAS).

Research Interest

Urban science; Complex system; Resilience; Machine learning

PhD student in social sciences at University of Klagenfurt, Austria

PhD, Institute of Physics of La Plata, UNLP-CONICET, Argentina

Brockmann studied physics and mathematics at Duke University and the University of Göttingen where he received his degree in theoretical physics in 1995 and his PhD in 2003. After postdoctoral positions at the Max Planck Institute for Dynamics and Self-Organization, Göttingen he became Associate Professor in the Department of Engineering Sciences and Applied Mathematics at Northwestern University in 2008. In 2013 he returned to Germany where he became Professor at the Institute for Biology at Humboldt University of Berlin. Brockmann worked on a variety of topics ranging from computational neuroscience, anomalous diffusion, Levy flights, human mobility, computational epidemiology, and complex networks.

Brockmann pioneered the scientific use of mass data collected in online games in a 2006 study in which he and his colleagues analyzed the geographic circulation of millions of dollar-bills registered at the online bill tracking website Where's George? This study lead to the discovery of universal scaling laws in human mobility, the forecast of spreading routes of the 2009 flu pandemic in the United States and effective geographic borders in the United States. Brockmann also pioneered the development of computational models and forecast systems for the global spread of epidemics based on global air-transportation. In a 2013 study Brockmann and his colleague Dirk Helbing showed that complex global contagion phenomena can be mapped onto simple propagating wave patterns using the theoretical concept of effective distance. This method was employed for import risk estimates during the Ebola virus epidemic in West Africa in 2014.

Since 2017 he has been publishing "Complexity Explorables", which are interactive 3D animations of complex systems

Ph.D. researcher for the AI Lab at the Vrije Universiteit Brussel, Belgium. My interests are computational social science, trust, collective action, game theory, and data science.

I am currently a second year PhD student at Hokkaido University in Japan. I am studying complexity within the marine microbiome and how the structural and functional dynamics within these systems are useful for ecosystem evaluation. I apply information theory, network science and statistical physics in my models. You can reach me at elroy.galbraith@gmail.com

I am an undergraduate student from the Pontificia Universidad Católica of Chile. I am majoring in bioengineering, minor bioinformatics and I am currently a research assistant for an investigation on "In-silico Modelling of Cell Aggregation Dynamics during Annual Killifish Embryogenesis".

I recently left a financial career in London and is now a first year PhD student at Sydney University. My work aims to obtain an insight into modeling the non-linear relationships of the stock market. I have an educational background in mathematics, with a BSc and MSc in Mathematics from Cardiff University (Wales,UK). My research interests include network science, non-linear dynamics, complex system modelling, Information Theory, Game Theory and complex systems applied to Economics .

Associate Professor, OsloMet - Oslo Metropolitan University

Hi!

I am a Lecturer in data science in the department of computer science at the University of Exeter. My research aims to provide a deeper understanding of human behaviour, both at the collective and individual level, by using novel data streams. Large data sets are constantly being generated thanks to our interactions with large technological systems, such as the Internet and the mobile phone network, or they can be collected through our usage of smart phone apps and tracking sensors. I use tools from data science, network theory, behavioural and computational social sciences to analyse these data sets and investigate different aspects of human behaviour.

Felix Gaisbauer currently works as a PhD student at the Max Planck Institute for Mathematics in the Sciences. He is part of the ODYCCEUS ('Opinion Dynamics and Cultural Conflict in European Spaces') project and is mainly interested in theory-grounded models and empirical approaches to opinion dynamics.

I am an independent researcher at Living Systems research. I studied physics and chemistry in Graz, Austria between 2003 and 2010 where he finished his master degree in theoretical biophysics under the supervision of Hans-Hennig von Grünberg. I founded Living systems research, an independent private research institute in 2012 and I am working there ever since as researcher. From 2014 to 2017 I got my PhD in chemistry in Toulouse, France under the supervision of Véronique Pimienta. My scientific interests are in self-organizing and complex systems from experimental aswell as from an theoretical point of view. My speciality is the Belousov Zhabotinsky reaction on which I work since more than ten years. At the moment we are investigating a chemo-hydrodynamical effect connected to the transition to chaos in an open unstirred Belousov Zhabotinsky reaction.
I am also working as a high school teacher for physics, mathematics and chemistry in the Waldorfschule Klagenfurt.
More information can be found at www.ilsr.at

I am third-year PhD student in LIUC university. My main research interest is the understanding of the mechanism that regulates the emergence of risk sensitivity behavior in complex adaptive systems. What is more, I am also dealing with applying a complexity perspective to different application fields (from the introduction of new technologies in a supply chain to the effect of evaluation on an academic system), using tools as Agent-Based Modeling, System Dynamics and Ontologies. My email contact is: fbertolotti@liuc.it.

Hi, I am a MSc student of Information Systems and Computer Engineering at Instituto Superior Técnico, University of Lisbon. Currently working with Prof. Alexandre Francisco (INESC-ID) and Prof. Patrícia Figueiro (ISR-LASEEB) in investigating the potential correlation between fMRI and EEG functional networks, using community detection and motif enumeration. My main interests are Network Neuroscience, Neuroimaging, Algorithms, Machine Learning, Psychology and Behaviour. Full of curiosity and enthusiasm to learn more.
My email: francisca.ayres.ribeiro@tecnico.ulisboa.pt

Francisco Carlos Paletta, Professor and Researcher - School of Communications and Arts of the University of São Paulo. PhD. in Science from University of São Paulo. Postdoctoral research in the Nuclear and Energy Research Institute. MCs in Production Engineering, MBA in Marketing, Post-Graduation in Materials Science, Post-Graduation in Strategy and Geopolitics. B.S. in Electronic Engineering.

I am Associate Professor of the Department of Computer Science and Engineering of Instituto Superior Técnico (IST), University of Lisbon (Portugal).

I am currently the coordinator of the Group on Artificial Intelligence for People and Society (GAIPS) part of INESC-ID. I am also co-head of the interdisciplinary group ATP, and one of the coordinators of the new MSc in Data Science and Engineering of IST, U. Lisbon. In 2020, I became member of the board coordinating the IST's nursery and kindergarten.

I am interested in applying and developing computational tools to understand collective dynamics and decision-making in social and life sciences. I have been working on problems related to the evolution of cooperation, human social norms, network science, and environmental governance, among others.

I received a PhD in Computer Science from the Université Libre de Bruxelles (ULB), as a Marie Curie PhD Fellow at the Institut de Recherches Interdisciplinaires et Intelligence Artificielle (IRIDIA). After my PhD, I was FRS-FNRS Chargé de Recherches at the Machine Learning Group of ULB (MLG, Brussels), and Investigador Auxiliar at the Centre for Artificial Intelligence of NOVA (CENTRIA-UNL). In 2019, I held a Chaire Internationale at the Université Libre de Bruxelles.

I was awarded the 2017 Young Scientist Award for Socio-Econophysics of the German Physical Society, and the 2016 CGD / University of Lisbon prize in Computer Science. I am member of the Youth Section of the Lisbon Academy of Sciences (2017-2020).

I am associate editor of Adaptive Behaviour (SAGE), Entropy (MDPI), Mathematics (MDPI), Minds and Machines (Springer), Humanities and Social Sciences Communications (Nature), PLoS ONE, and Scientific Reports (Nature), and regularly serve as guest editor for PLoS Computational Biology.