GCI4WebSci 2022 @ WebSci'22
- April 9, 2022: Workshop Paper Due Date
- Submission site: Please upload your submissions via EasyChair.
- April 23, 2022: Notification of Acceptance
- May 12, 2022: Camera-ready papers due
- GCI4WebSci 2022 Workshop at ACL, June 26-29, 2022, Universitat Pompeu Fabra, Barcelona, Spain
Submission Types & Requirements
GCI4WebSci 2022 will be open for submissions: of short papers. Review versions of short papers may have up to four (4) pages of content, plus unlimited pages for references. Final versions of short papers may have up to five (5) pages, plus unlimited pages for acknowledgments and references. Please follow ACL guidelines https://acl-org.github.io/ACLPUB/formatting.html and templates: https://github.com/acl-org/acl-style-files
Overleaf templates: https://www.overleaf.com/project/5f64f1fb97c4c50001b60549
WORKSHOP OVERVIEW AND SCOPE
The GCI4WebSci workshop focuses on the relationship between web science and General Collective Intelligence or GCI, an emerging science predicted to significantly increase the general problem-solving ability of groups, where that general problem-solving ability is defined through Human-Centric Functional Modeling. As a model for the general problem-solving ability of groups, it is hypothesized that there are some problems groups simply aren't intelligent enough to reliably solve without GCI, including the problem of understanding they aren't intelligent enough. One set of such problems is involved in ensuring software platforms address user needs more than they exploit users. These are problems related to the need to decentralize identity management, the need to decentralize process management, and the need to decentralize data management. These problems are thus deeply related to web science and next generation technologies like web 3.0, given its goals to provide pervasive decentralization. This decentralization is in turn is also deeply related with General Collective Intelligence because it requires a system able to solve any problem of decentralization in general in a way that is collectively optimal for the entire group of users. A system that is able to address any collective optimization problem in general is one definition of a General Collective Intelligence.
This workshop explores both GCI and the patterns through which GCI might be leveraged to solve any problem of achieving radically increased collective user impact, including social impact  through the large-scale socio-technical systems that web science is concerned with, such as the World Wide Web .
GCI4WebSci 2022 will be particularly interested in work that explores questions relevant to the intersection of collective intelligence and any technologies relevant to web science:
- How might it be possible address the emerging technology problems that can’t reliably be solved today without General Collective Intelligence according to the “solvability of classes of group problems” hypothesis?
- How might it be possible to collectively increase capacity to address the problem of invisible and undetectable centralization that exists according to the “technology gravity well” hypothesis?
- How might it be possible to collectively increase capacity to address the existential social challenges defined by the “wicked problems” hypothesis?
- How might it be possible to orchestrate collectively intelligent cooperation that might significantly accelerate development of and progress towards emerging technologies like web 3.0?
Other active areas of research include, but are not limited to:
- Classes of problems that cannot reliably be solved without GCI due to misalignment between outcomes that are optimal for the group and outcomes that are optimal for decision-makers choosing the solution;
- Decentralization required to align decision-making with optimal outcomes for the group;
- Functional state spaces as common semantic representations of information for the group which facilitate group problem-solving, and the use of ontologies as approximations of functional state spaces;
- Generalization, and semantic representation as requirements in significantly increasing the general problem-solving ability of groups;
- Predisposition to type 1 or type 2 reasoning as a source of cognitive bias in social web applications;
- Use of General Collective Intelligence to achieve the decentralization, generalization, and semantic representation required to significantly increase the general problem-solving ability of groups, or use of the Human-Centric Functional Modeling required to implement a GCI.
* To Be Announced Dr. Naseem Saba
Andy E. Williams, Nobeah Foundation Roberto Casadei, Università di Bologna, Italy (To Be Announced)
Dual submission policy
Papers may NOT be submitted to the GCI4WebSci 2022 workshop if they are or will be concurrently submitted to another meeting or publication.
- Williams, A. E. (2022, March 17). Towards a Semantic Identity in Decentralized Identity Management. Retrieved from osf.io/preprints/africarxiv/m87sj
- Williams, A. E. (2022, March 2). Increasing the Societal Impact of Science, Technology, Engineering, and Math with General Collective Intelligence. https://doi.org/10.31730/osf.io/dwg73
- Williams, A. E. (2022, February 27). Using Models to Capture Patterns for Radically Increasing Social Impact. https://doi.org/10.31730/osf.io/rqs72