22 October 2021
Complexity and Cognition
CompCog: A satellite symposium of the Conference on Complex Systems 2021
Background. Cognition arises from multiple mental and biological processes which regulate the acquisition, perception and use of information. Understanding cognitive processes and their biological counterparts poses several, interconnected research challenges, attracting the attention of computational fields like cognitive neuroscience, network science, AI and data science in addition to endeavours from psychology, linguistics, medicine and the humanities.
Aim. Within the above mosaic of cognitive research lines, it is difficult for researchers to be aware of results recently obtained by colleagues in other fields, thus creating a fragmented landscape of research achievements and gaps. Complexity and Cognition aims at creating new opportunities for research exchange, constructive feedback and paper dissemination among researchers interested in cognition and complexity science. This online symposium addresses the need for transdisciplinary researchers working on cognition to overcome discipline-restrictive boundaries, showcasing the benefits and value that systems thinking and complexity science can bring to the cognitive sciences.
Scope. Complexity and Cognition aligns with the scope of the Conference on Complex Systems (CCS) and will reach multiple relevant research communities of interest for CCS, across cognitive, data, complexity and network sciences.
A full-day online satellite for researchers interested in modelling cognition as a complex system
After a successful First Edition at CCS 2020 we are back for more research dissemination on complexity and cognition!
Main Organiser and Scientific Committee
CogNosco Lab, Department of Computer Science, University of Exeter, UK
Department of Psychology, University of Kansas, USA
Department of Psychology, University of Warwick and Alan Turing Institute, UK
Cognitive Complexity Lab, Technion - Israel Institute of Technology, Israel
Department of Psychology, National University of Singapore, Singapore
Adult Language Network Lab, Department of Communicative Disorders and Sciences, University at Buffalo, USA
Official Programme, Slides and Online Talks
Invited Talks
Prof. Danielle S. Bassett
University of Pennsylvania and Santa Fe Institute, USA.
To be announced soon.
Prof. Roger Beaty
Department of Psychology, PennState University, USA.
To be announced soon.
Prof. Diego Amancio
Department of Computer Science, University of Sao Paulo, Brazil
To be announced soon.
Prof. Daniele Quercia
King’s College and Bell Labs Cambridge, UK
To be announced soon.
Prof. Betty S. Lai
Lynch School of Education, Boston College, USA.
The Grant Writing Landscape
The stakes are high for learning how to write fundable grants. A study examining tenure and promotion criteria worldwide found that over 50% of 110 institutions listed securing grant funding as a key criterion for promotion and tenure. A study of 4,700 researchers found that 36% considered grant funding as one of the most important factors in their career. Grant writing has become an essential skill for today’s researchers.
This keynote will be an introduction to the grant writing landscape. I’ll describe how grants shape careers, grant options (e.g., government, foundation, internal grants), how grants are funded, and who key players are when you work on a fundable grant (e.g., research administrators, program officers, reviewers).
Call for Contributed Talks
Programme Details
Talks - Logistic Details
Call for Contributions - CLOSED:
This satellite will fit within a full day. In order to keep reasonable attention spans and include as many contributed talks as possible within the above time limit, both invited talks and contributed talks will be shorter than in mainstream in-person satellites.
Contributed talks will last 10 mins + 5 mins discussion (Q&A) each, whereas invited talks will last for 15 mins + 5 mins Q&A each. There will be also a poster session (organised via Gather Town = 45 mins) and a roundtable guided by the Scientific Committee (45 mins). There will be time for roughly 12 contributed speakers (13 mins x 12 = 2 h 36 mins). Planning many slots for contributed talks provides important opportunities for research showcasing also to early career researchers, who are a key audience of the Conference on Complex Systems. We also plan to have at least two coffee breaks and organise activities in two blocks, one in the CET morning and one in the CET afternoon, in order to overlap with both the US and the Asian/Australian time zones.
The call for contributed talks is currently CLOSED. Relevant topics include, but are not limited to:
Complex systems and cognition;
Social media inquiry under the lens of cognitive science;
Artificial intelligence, machine learning and cognitive modelling;
Network models of the human brain and/or mind;
Big Data, personality traits and human dynamics;
System thinking, clinical populations and mental health;
Creativity, fluid intelligence and cognitive skills as complex systems;
Personality traits and complex networks.
Satellite registration and potential contributions are managed through a Google Form (see bottom page). The Committee will sift abstracts. Each Committee member will vote for acceptance or rejection of each potential contribution. Only contributions unanimously accepted by the Committee will be accepted for presentation. The Main Organiser will not vote for acceptance but will gather and coordinate votes and then notify acceptance/rejection. Authors of rejected submissions might still produce a link to a poster or an online paper that will be hosted on the satellite website.
Please send a 1-page abstract including a short narrative (between 150 and 300 words), a figure (optional) and a few key references (optional).
Submit a 1-page abstract HERE.
Don't forget to Register at CSS2021:
NOTICE: Registration at the satellite must be completed by registering at the Conference on Complex Systems:
https://ccs2021.univ-lyon1.fr/#HOME
PARTNERS
Big Data and Cognitive Computing (BDCC) is an Open Access journal venue devoted to cognitive computing, machine learning and cognitive modelling. The journal is currently hosting a Special Issue on "Knowledge Modelling and Learning Through Cognitive Networks", edited by Dr. Massimo Stella (University of Exeter) and Dr. Yoed Kenett (Technion - Israel Institute of Technology).
This SI aligns with the scope of the C&C satellite and the Editors encourage interested authors in submitting their work to BDCC:
https://www.mdpi.com/journal/BDCC/special_issues/knowledge_modelling