Understanding Our Complex World Using Data Analytics and Models

Satellite session - Conference on Complex Systems 2017
September 17-22, Cancun, Mexico

Important Dates

Abstract submission deadline: June 13, 2017
Notification to authors: June 15, 2017
Satellite Meeting date: September 20, 2017

Call for Abstracts


Submissions are required to be at most one page long including the following information: title, author(s), affiliation(s), e-mail address(es), name of the presenter, abstract (text only).

Submissions will be evaluated and selected by the Program Committee members, based on the theme of the satellite, originality and scientific soundness. Once the selection process is complete, the authors of the accepted abstracts will be notified by e-mail.

Please remember that all meeting participants have to register for Conference on Complex Systems 2017 here.


The goal of this satellite meeting is to present advances in the analysis of social, economic and political challenges, using big data and modeling, such as data for policy making, markets dynamics, economic growth and crises, unemployment, social inequality, ethnic violence, social unrest, immigration, political polarization, predictability of elections, global risks, extreme events, privacy, hidden interdependencies, unintended consequences, etc. We expect to raise awareness about interventions in complex systems, the risk we face when societies become global, the opportunities that are created, and the role of complexity in data analytics.

The satellite will cover the following aspects:

  • Global economical and social systems
  • Global risks
  • Globalization
  • Political systems
  • Polarization
  • Social unrest
  • Data for policy making
  • Data for development
  • Ethics and privacy
  • Multi-scale analysis of social systems
  • Social networks analysis
  • Fat tailed distributions
  • Out of equilibrium economics
  • Adaptive network models
  • Agent based models
  • Non-linear social dynamics

Invited Speakers

Yaneer Bar-Yam, NECSI: The complexity of global systems.
Sandy Pentland, MIT: Why democracy fails, privacy and data for policy.
Hiroki Sayama, Binghamton U.: Mechanistic modeling of social systems.
Cesar Hidalgo, MIT: Collective learning in society and the economy.


The satellite meeting will be hosted by Conference on Complex Systems 2017. The CCS’17 meeting will take place in Cancun, Mexico during Sept 17-22, 2017. CSS’17 is a major annual international event gathering diverse communities engaged in Complex Systems research, ranging from Life Sciences to Physics, from Computer Science to Social Sciences, and from Networks to Policy Implications.

All participants of the satellite meeting (with or without abstract submission) have to register to CCS '17.


Alfredo J. Morales
New England Complex Systems Institute
Massachusetts Institute of Technology

NECSI advances the development of complex systems science and its applications to real world problems, including social policy matters. We study how interactions within a system lead to its behavioral patterns and how the system interacts with its environment. Our researchers study data science, networks, agent-based modeling, multi-scale analysis and complexity

Alfredo contributes to building a better understanding of social systems by developing computational and analytical methods based on complex systems science and data science. His work is at the intersection of computer science, statistics, applied physics and artificial intelligence. He analyzes large datasets that result from human activity on social media, internet, mobile phones or purchases in order to retrieve unstructured patterns of collective behaviors that explain large scale societal properties, such as social dynamics, urban dynamics, segregation, political engagement, political polarization and social influence.

Rosa M. Benito
Technical University of Madrid

Rosa heads the Complex Systems Group at The Technical University of Madrid (UPM) and is also Professor of Applied Physics at UPM. Prof. Benito's work focuses on understanding and characterizing the structure and dynamics of different complex systems by using Complex Network Theory and Data Science. In particular she has proposed a new formalism to model complex networks topology, and she has been working with big data to determine the individual and collective behavior of users in specific online conversation on Twitter, and human mobility patterns through mobile phone data. She has lead many research projects and has participated in several Challenge for Development using mobile phone data from African's countries (Ivory Coast and Senegal). Her work has been published in many academic publications. She head the PhD Program in Complex Systems and has supervised several PhD Thesis. She has been awarded for Excellence in her Academic Career and for Innovation Education from UPM.

Program committee

Xiaowen Dong
MIT Media Lab

Juan Carlos Losada
Universidad Politecnica de Madrid



Phone: 617-547-4100 | Fax: 617-661-7711 | Email: office at necsi.edu

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