The flagship conference of the Complex Systems Society will go to Latin America for the first time in 2017. The Mexican complex systems community is enthusiast to welcome colleagues to one of our richest destinations: Cancun.
The conference will include presentations by Mario Molina (Environment, Nobel Prize in Chemistry), Raissa D’Souza (network science), Ranulfo Romo (neruoscience), Jaime Urrutia-Fucugauchi (geophysics), Antonio Lazcano (origins of life), Marta González (human mobility), Dirk Brockmann (epidemiology), Kristina Lerman (information sciences), Stefano Battiston (economics) John Quackenbush (computational biology), Giovanna Miritello (data science), César Hidalgo (collective learning), and many more.
There will be a discussion panel on the past, present, and future of complexity, 23 satellites, and more than 300 oral presentations. Join us for a rich exchange of the latest scientific advances.
We invite abstract contributions (500 words maximum) for poster presentations in the following tracks:
• Foundations of Complex Systems
• Information and Communication Technologies
• Language, Linguistics Cognition and Social Systems
• Economics and Finance
• Infrastructures, Planning and Environment
• Biological and (Bio)Medical Complexity
• Socio-Ecological Systems
• Complexity in Physics and Chemistry
Posters will be available during the whole week of the conference.
Upload your abstracts at https://easychair.org/conferences/?conf=ccs17
- Late breaking abstract deadline August 18th
- Notifications within two weeks of submission
- Conference September 17-22
The Algorithmic Design for Hybrid Collective Intelligence satellite (ADHEsIoN’17) is a one-day event in September 20, 2017, as part of the Conference on Complex Systems (CCS’17). This conference is the official annual conference of the Complex Systems Society and is scheduled to convene in September 17-22, 2017. The conference is interdisciplinary in nature, focusing on understanding how elements interact to give rise to global properties, along with how global properties can constrain these elements.
Across an increasingly broad spectrum of everyday life, artificial intelligence (AI) is challenging the utility of human intelligence. Yet modern AI often gains its power from exploiting big data resulting from human collective behaviors (e.g. web posting, crowdsourcing). Hence, while AI is often contrasted with human intelligence, both may be more synergistic than is usually admitted. We call for a reflection, on designs and processes that may oppose, or support, the intersection of AI and human intelligence, working towards an AI-enhanced, hybrid collective intelligence.
We invite abstracts (~500 words; 1 Figure) for oral presentations (~20 min.) of work that address relevant challenges across a range of socio-technical domains including, but not limited to:
- AI-supported Team Collaboration: AI to promote smart pairing between individuals, tasks and resources, whilst preserving some control over the time of delivery; curating group dynamics for enhanced synchronicity and productivity whilst maintaining transparency;
- Collective Decision Making: Promote enhanced collective decision making by exploiting the effect of simple rules on social network structures whilst avoiding discriminating effects;
- Collective Learning: Identify and exploit insight from past operations to support future actions (e.g. project bidding) whilst identifying and eliminating outliers in a robust, evidence-based way;
- Human-Computer Interaction: Elicit and aggregate information from online activity (e.g. user reputation) for various operations (e.g. online rating system) whilst dealing with ambiguity (e.g. self-contradictions, missing data) and malicious manipulations (e.g. spamming);
- Open Science: Promote the reuse, redistribution and reproduction of research, whilst maintaining appropriate attribution of credit and rigor
- Organizational Design: Organizations designed such that they promote enhanced collective functions (e.g. social learning, culture) whilst preserving accountability and auditability;
- Rumor Propagation within Social/Collaborative Platforms: Maintaining their self-organized nature, whilst restricting the diffusion of falsehoods and emergence of ‘echo chambers’;
- Science of Science: Using modern bibliographic data to identify fruitful research trajectories and develop robust productivity measures, whilst reducing the marginalization of underrepresented groups;
Pervasive theoretical challenges across these exemplar domains include:
- Regulating self-organization of the collective in an auditable way;
- Generating value from dormant information;
- Prediction and intrinsic limitations;
- Big vs. Useful Data;
Abstracts should be submitted at https://easychair.org/conferences/?conf=adhesion17. Deadline for submission is 30th of June 2017. All questions about submissions should be emailed to the organizers listed below.
- Dr Christos Ellinas (University of Bristol, Stevens Institute of Technology);
- Dr. Marc Santolini (Northeastern University; Harvard Medical School);
- Dr. Thomas Maillart (University of Geneva);
- Prof. Seth Bullock (University of Bristol);
The 2017 Research Days comprises a three-day workshop on self-organization and swarm intelligence in cyber physical systems (CPS). A group of experts in this domain will introduce their research topics in invited talks. Keynote speaker is Gianni A. Di Caro from Carnegie Mellon University (USA). The program also includes laboratory sessions with training on micro-robots. The workshop takes place from July 10 – 12, 2017 in the Lakeside Science and Technology Park, Klagenfurt, Austria. Registration is possible for a limited number of people. Interested researchers should apply as soon as possible.
We are delighted to welcome the 9th International Conference on Social Informatics (SocInfo 2017) to Oxford, UK, in September 2017.
SocInfo is an interdisciplinary venue for researchers from Computer Science, Informatics, Social Sciences and Management Sciences to share ideas and opinions, and present original research work on studying the interplay between socially-centric platforms and social phenomena.
The ultimate goal of Social Informatics is to create better understanding of socially-centric platforms not just as a technology, but also as a set of social phenomena. To that end, we are inviting interdisciplinary papers, on applying information technology in the study of social phenomena, on applying social concepts in the design of information systems, on applying methods from the social sciences in the study of social computing and information systems, on applying computational algorithms to facilitate the study of social systems and human social dynamics, and on designing information and communication technologies that consider social context.
Artificial Evolution 2017 (EA-2017)
The 13th (since 1994) Biennial International Conference on Articial Evolution
Paris, 13th arrondissement, at ISC-PIF.
Paris – France – 25-27 October 2017