Conference on Complex Systems 2017

Sep 17 - 22. Cancun, Mexico

Conference on Complex Systems 2017. Cancun, Mexico.

The scientific study of complex systems offers a method for understanding how elements interact to give rise to global properties, while at the same time these properties constrain elements. Bringing together scholars and students from all fields, the Conference on Complex Systems will convene in September 17-22, 2017 in Latin America for the first time.

Venue

Cancun, Mexico

Mexico, a country rich in culture, traditions and natural resources, is embracing scientific and technological innovation. The Mayan Riviera has Cancun as its main city, comprising more than a hundred kilometers of white-sand beaches, first class resorts and the blue waters of the Caribbean Sea along the world’s second largest coral reef. The Riviera is close to several major archeological sites and nature reserves. International congresses and conventions are held yearly due to the convenience and beauty of this area.


Cancun International Convention Center
Boulevard Kukulcán KM. 9
Zona Hotelera, 77500
Cancún, Q. Roo, Mexico

Accommodations with preferential rates:
Coming soon

Speakers

Mario Molina

Mario José Molina-Pasquel Henríquez is a Mexican chemist and one of the most prominent precursors to the discovery of the Antarctic ozone hole. He won a Nobel Prize in 1995 for his research on how man-made compounds affect the ozone layer becoming the first Mexican-born citizen to ever receive a Nobel Prize in Chemistry. Mario Molina is a climate policy adviser to President Enrique Peña Nieto.

Raissa D'Souza

Raissa D'Souza is Professor of Computer Science and of Mechanical Engineering at the University of California, Davis, as well as an External Professor at the Santa Fe Institute.Her interdisciplinary work on network theory spans the fields of statistical physics, theoretical computer science and applied math, and has appeared in journals such as Science, PNAS, and Physical Review Letters. She is a Fellow of the American Physical Society, was a member of the World Economic Forum's Global Agenda Council on Complex Systems, and is currently the President of the Network Science Society

Ranulfo Romo

Ranulfo Romo is professor of neuroscience at the Institute of Cellular Physiology. He received the 1990 Demuth Prize in Neuroscience from the Swiss Medical Research Foundation, the 2000 National Prize in Sciences and Arts, the 2002 Prize in Basic Medical Sciences from the Academy of Sciences for the Developing World, the 2008 Mexico City Prize in Basic Sciences, and the 2009 Ranwell Caputto prize from the Argentinean Society of Neuroscience

Jaime Urrutia Fucugauchi

Professor Jaime Urrutia Fucugauchi was the director of the Institute of Geophysics at the National Autonomous University of Mexico,now he is the President of the Mexican Academy of Sciences. His research interest are: paleomagnetism, rock-magnetism, exploration geophysics, impact craters, paleoenvironments and paleoclimates, and tectonics. He has received numerous awards such as the National Prize for Arts and Sciences and the “M. Bárcena” medal by the Mexican Geophysical Union.

Antonio Lazcano

Antonio Eusebio Lazcano Araujo is a Mexican biology researcher and professor of the School of Sciences at the National Autonomous University of Mexico. He has studied the origin and early evolution of life for more than 35 years, he also promotes the study of evolutionary biology and the origins of life, all over the world.

John Quackenbush

John Quackenbush is a computational biologist and genome scientist. He is a professor of biostatistics and computational biology and a professor of cancer biology at the Dana-Farber Cancer Institute, as well as the director of its Center for Cancer Computational Biology.

Marta González

Marta C. Gonzalez is an Associate Professor in Massachussetss Institute of Technology (MIT). Professor Gonzalez works in the area of urban computing, with a focus on the intersections of people with the built environment and their social networks.
Prof. González has introduced new tools into transportation research and is a leader in the emergent field of urban computing.

Dirk Brockmann

Dirk Brockmann is a German physicist and Professor at the Institute for Biology at Humboldt University of Berlin and the Robert Koch Institute, Berlin. Brockmann is known for his work in complex systems, complex networks, computational epidemiology, human mobility and anomalous diffusion.

Kristina Lerman

Kristina Lerman is a Project Leader at the Information Sciences Institute and holds a joint appointment as a Research Associate Professor in the USC Viterbi School of Engineering's Computer Science Department. Her research focuses on applying network- and machine learning-based methods to problems in social computing,

Stefano Battiston

Stefano Battiston is SNF Professor of Banking at the University of Zurich. He holds a PhD in Statistical Physics from École Normale Supérieure, Paris. Over the years he has directed several research works and co-authored 40+ publications including on prestigious journals such as PNAS and Nature Communications. He also coordinates the two research projects SIMPOL and DOLFINS aimed at investigating how finance could support a more sustainable economy

Giovanna Miritello

She is a passionate of network science with experience in industry and academic fields. Her doctoral thesis on “Temporal patterns of human communication in social networks" was published by Springer as an outstanding Ph.D. thesis. In 2013 she was selected for the Insight Data Science program in Silicon Valley. In 2014 she was awarded by the “Junior Scientific Award” from the Complex Systems Society for her contributions to computational social science. Giovanna is co-founder of “Databeers”, events that bring together people interested in in more than 15 cities around the world.

César Hidalgo

César A. Hidalgo leads the Collective Learning group (formerly Macro Connections) and is an associate professor in the program in media arts and sciences at MIT.Hidalgo's research focuses on collective learning–the learning taking place in teams, organizations, and economies. With his group, he develops analytical tools and models to understanding how collective learning takes place, and also, they design tools to help improve the collective learning of organizations.

Program

The opening of the conference will take place on the afternoon of September 17th.
Plenary and parallel sessions will take place on September 18th, 19th, and 22nd.
Satellites will take place on September 20th and 21st.
More details coming soon.

Organization

Tracks and Track Chairs

  • Self-organization and criticality
  • Statistical physics of complex systems
  • Hierarchical structure of complex systems
  • Nonlinear and adaptive dynamics
  • Mathematical modelling and simulation
  • Philosophy of modelling
  • Complex networks
  • Topology and structural properties of networks
  • Dynamics and evolution of networks
  • Multiplex networks
  • Inter-dependent networks
  • Adaptive networks and coevolution
  • Robustness of networks
  • Dynamics over networks
  • Network agent-based modelling
  • Temporal networks
  • Burstiness and non-homogeneous temporal patterns
  • Spreading dynamics and contagion
  • Community formation and detection
  • Epidemic processes over networks
  • Dynamical systems and networks
  • Network navigation and searching
  • Computer science
  • Internet
  • WWW
  • Search
  • Semantic web
  • Online social networks
  • Behavioral science
  • Big data analytics
  • Data science
  • Networked computer systems
  • Socio-technical systems
  • Complex networks data mining
  • Community Structure in Complex Networks
  • Community Discovery in Complex Networks
  • Complex Networks and Epidemics
  • Large-scale Graph Analytics
  • Visual Representation of Complex Networks
  • Applications of Complex Network Analysis
  • Social Reputation, Influence, and Trust
  • Information Spreading in Social Media
  • Rumor and Viral Marketing in Social Networks
  • Communication and Information Complex Networks
  • Social media mining
  • Urban social networks
  • Multi-agent systems
  • Cellular automata
  • Neural networks
  • Evolutionary computation
  • Cognitive science
  • Evolution of language
  • Artificial Intelligence
  • Artificial Life
  • Cognitive robotics
  • Multi-agent systems
  • Collective intelligence
  • Swarm intelligence
  • Game theory
  • Cognitive neuroscience
  • Neural networks
  • Social interaction
  • Computational neuroscience
  • Agent-based models
  • Adaptive behavior
  • Evolution of cooperation
  • Collective action
  • Systems neuroscience
  • Learning
  • Creativity
  • Macroeconomics and economic policy
  • Technology , innovation and growth
  • Industrial organization and market structure
  • Banking, financial markets, risks and regulation
  • Learning, expectations & behavioral games
  • Institutions, social norms, international trade & development
  • Urban planning
  • Urban Modelling
  • Urban Infrastructure
  • Urban dynamics
  • Transportation
  • Energy
  • Communications
  • Geography
  • Retail
  • Mobility
  • Real estate
  • Migration
  • Logistics
  • Supply chains
  • Epidemiology
  • Public health
  • Cancer and complex diseases
  • Biomedical data analysis
  • Neuroscience
  • Animal behavior
  • Development and morphogenesis
  • Gene and molecular networks
  • Cellular dynamics
  • Pattern formation
  • Multi-scale modelling
  • Computational biology
  • Collective behavior
  • Evolutionary dynamics and transitions
  • Population, community and ecosystemic dynamics
  • Ecological meta-populations and meta-communities
  • Landscape ecology
  • Systems biology
  • Biodiversity
  • Evolutionary ecology
  • Ecological networks
  • Computational social science
  • Social networks
  • Social-ecological data modeling
  • Opinion formation
  • Regime shifts
  • Linking Earth System Dynamics and Social Systems Modeling
  • Dynamics of coupled human and natural systems
  • Hybrid modeling of SES (methodological perspectives)
  • Vulnerability and adaptation
  • Global environmental change
  • Sustainability
  • Resilience
  • Niche construction
  • Ecological networks
  • Complex Network Analysis in Social and Political Science
  • Deliberate transformation of complex adaptive systems
  • Social-ecological systems identity
  • Dynamic adaptive policy making
  • Governance
  • Participatory modeling of complex adaptive systems
  • Uncertainty and risk
  • Nonlinear dynamics and chaos
  • Time series analysis
  • Pattern formation
  • Active matter and collective motion
  • Non-equilibrium thermodynamics
  • Biomolecules
  • Smart polymers
  • Protein folding
  • Complexity at the nanoscale
  • Molecular motors
  • Chemistry and evolution
  • Complex fluids
  • Fluid dynamics and turbulence
  • Random and quantum walks, anomalous diffusion
  • Stochastic processes
  • Non-equilibrium phase transitions
  • Disordered systems and glasses

Sponsors

Call for abstracts

We invite abstract contributions (500 words maximum) for oral presentations or posters in the following tracks:

(click to expand themes)
  • Self-organization and criticality
  • Statistical physics of complex systems
  • Hierarchical structure of complex systems
  • Nonlinear and adaptive dynamics
  • Mathematical modelling and simulation
  • Philosophy of modelling
  • Complex networks
  • Topology and structural properties of networks
  • Dynamics and evolution of networks
  • Multiplex networks
  • Inter-dependent networks
  • Adaptive networks and coevolution
  • Robustness of networks
  • Dynamics over networks
  • Network agent-based modelling
  • Temporal networks
  • Burstiness and non-homogeneous temporal patterns
  • Spreading dynamics and contagion
  • Community formation and detection
  • Epidemic processes over networks
  • Dynamical systems and networks
  • Network navigation and searching
  • Computer science
  • Internet
  • WWW
  • Search
  • Semantic web
  • Online social networks
  • Behavioral science
  • Big data analytics
  • Data science
  • Networked computer systems
  • Socio-technical systems
  • Complex networks data mining
  • Community Structure in Complex Networks
  • Community Discovery in Complex Networks
  • Complex Networks and Epidemics
  • Large-scale Graph Analytics
  • Visual Representation of Complex Networks
  • Applications of Complex Network Analysis
  • Social Reputation, Influence, and Trust
  • Information Spreading in Social Media
  • Rumor and Viral Marketing in Social Networks
  • Communication and Information Complex Networks
  • Social media mining
  • Urban social networks
  • Multi-agent systems
  • Cellular automata
  • Neural networks
  • Evolutionary computation
  • Cognitive science
  • Evolution of language
  • Artificial Intelligence
  • Artificial Life
  • Cognitive robotics
  • Multi-agent systems
  • Collective intelligence
  • Swarm intelligence
  • Game theory
  • Cognitive neuroscience
  • Neural networks
  • Social interaction
  • Computational neuroscience
  • Agent-based models
  • Adaptive behavior
  • Evolution of cooperation
  • Collective action
  • Systems neuroscience
  • Learning
  • Creativity
  • Macroeconomics and economic policy
  • Technology , innovation and growth
  • Industrial organization and market structure
  • Banking, financial markets, risks and regulation
  • Learning, expectations & behavioral games
  • Institutions, social norms, international trade & development
  • Urban planning
  • Urban Modelling
  • Urban Infrastructure
  • Urban dynamics
  • Transportation
  • Energy
  • Communications
  • Geography
  • Retail
  • Mobility
  • Real estate
  • Migration
  • Logistics
  • Supply chains
  • Epidemiology
  • Public health
  • Cancer and complex diseases
  • Biomedical data analysis
  • Neuroscience
  • Animal behavior
  • Development and morphogenesis
  • Gene and molecular networks
  • Cellular dynamics
  • Pattern formation
  • Multi-scale modelling
  • Computational biology
  • Collective behavior
  • Evolutionary dynamics and transitions
  • Population, community and ecosystemic dynamics
  • Ecological meta-populations and meta-communities
  • Landscape ecology
  • Systems biology
  • Biodiversity
  • Evolutionary ecology
  • Ecological networks
  • Computational social science
  • Social networks
  • Social-ecological data modeling
  • Opinion formation
  • Regime shifts
  • Linking Earth System Dynamics and Social Systems Modeling
  • Dynamics of coupled human and natural systems
  • Hybrid modeling of SES (methodological perspectives)
  • Vulnerability and adaptation
  • Global environmental change
  • Sustainability
  • Resilience
  • Niche construction
  • Ecological networks
  • Complex Network Analysis in Social and Political Science
  • Deliberate transformation of complex adaptive systems
  • Social-ecological systems identity
  • Dynamic adaptive policy making
  • Governance
  • Participatory modeling of complex adaptive systems
  • Uncertainty and risk
  • Nonlinear dynamics and chaos
  • Time series analysis
  • Pattern formation
  • Active matter and collective motion
  • Non-equilibrium thermodynamics
  • Biomolecules
  • Smart polymers
  • Protein folding
  • Complexity at the nanoscale
  • Molecular motors
  • Chemistry and evolution
  • Complex fluids
  • Fluid dynamics and turbulence
  • Random and quantum walks, anomalous diffusion
  • Stochastic processes
  • Non-equilibrium phase transitions
  • Disordered systems and glasses

Upload your abstracts at https://easychair.org/conferences/?conf=ccs17

Important dates:

Extended abstract deadline March 17
Notifications of Acceptance April 21
Conference September 17-22

Call for satellites

As usual with the Conferences on Complex Systems, apart form the main tracks of the conference, there will be two full days of satellites (Wednesday, September 20th and Thursday, September 21st). We therefore call for satellite proposals for half a day or full day events. Satellite organizers are responsible for promoting, organizing, reviewing, and scheduling their session.

Scientifically sound proposals should be less than 1000 words, including scope of the satellite, goals, tentative program (format, half-day/full day, invited speakers), estimated attendance, and organizers.

Proposals should be submitted in PDF format to satellites@ccs17.unam.mx

Important Dates

Satellite proposals deadline February 17th
Satellite decisions sent March 10th
Satellite program details August 4th