User:CognitiveMMA/sandbox/GCI4MODELS2022

GCI4MODELS 2022 @ MODELS 2022 The 1st GCI4MODELS workshop is co-located with MODELS 2022

IMPORTANT DATES

 * Jul 20, 2022: Workshop Paper Due Date
 * Submission site: Please upload your submissions via EasyChair.
 * Aug 19, 2022: Notification of Acceptance
 * Aug 26, 2022: Camera-ready papers due
 * GCI4MODELS 2022 Workshop at MODELS 2022, Oct 16-21, 2022, Montreal, Canada

Submission Types & Requirements
GCI4MODELS 2022 will be open for submissions: of short papers of up to 5 pages (papers must be a minimum of 5 pages to be eligible to be published in the Companion proceedings). Given the complexity of the issues, some of the topics discussed might lack research that can be cited. Therefore the workshop also welcomes short perspective or opinion articles of variable length (optimally less than 1000 words). Accepted perspective or opinion articles will be presented at the workshop but not published in the proceedings. Formatting instructions are available here for both LaTeX and Word users. LaTeX users must use the provided acmart.cls and ACM-Reference-Format.bst without modification, enable the conference format in the preamble of the document (i.e., ), and use the ACM reference format for the bibliography (i.e.,  ).

WORKSHOP OVERVIEW AND SCOPE
In line with the special theme of the workshop being “Modeling for social good” #MDE4SG, the GCI4MODELS workshop focuses on the relationship between domain specific modeling and General Collective Intelligence or GCI, an emerging science predicted to create the capacity to exponentially increase the general problem-solving ability of groups, which is predicted to translate into radically increasing capacity for social impact. One way of achieving this is defining patterns through which projects might be combined into networks of cooperation that increase impact on collectively targeted goals. In the case of the sustainable development goals, there are three patterns that can be demonstrated to have the potential for this exponentially greater impact so that "wicked" social problems might be more reliably solvable where they have not proved to be in the past. All of these patterns can be represented through domain specific models. This workshop includes a tutorial that explores those models and how they might be leveraged to achieve this radically increased social impact. This workshop also explores how modeling the behavior of systems in terms of functional state spaces, as required by General Collective Intelligence, might significantly increase the effectiveness and deployment of domain specific modeling, particularly in any technology like web 3.0 that might be involved in the decentralization that General Collective Intelligence suggests is required for optimal group decision-making.

GCI4MODELS 2022 invites participants in the conference to explore this new science of General Collective Intelligence, as well as the inviting participants to explore the Human-Centric Functional Modeling used to define the functional state spaces that provide common models for systems so that groups might leverage General Collective Intelligence to solve problems related to understanding those systems. GCI4MODELS 2022 will be particularly interested in any work that would investigate how domain-specific modeling would support, promote, or be driven by GCI, as well as how modeling tools might support GCI, and how model-driven socio-technical coordination might be achieved using GCI. This includes work that explores questions such as:


 * What is social good? Can it be modeled? Is there such a thing as a solution that is optimal for a group? How might sustainability be modeled to make programs more sustainable?;
 * Classes of problems that cannot reliably be solved due to misalignment between outcomes that are optimal for the group and outcomes that are optimal for decision-makers choosing the solution;
 * Patterns of solutions that might radically increase social impact, and how those patterns might be modeled.
 * Decentralization required to align decision-making with optimal outcomes for the group;
 * Functional state spaces as semantic representations required to provide groups with a common model of meaning so that understanding rather than just information might be communicated at far greater speed and scale;
 * Generalization, and semantic representation as requirements in significantly increasing the general problem-solving ability of groups;
 * 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.

Other active areas of research include, but are not limited to questions relevant to the domain specific modeling tool industry or its intersection with web 3.0 or any other technology targeting the decentralization of identities, software processes, or data access that GCI suggests is required to significantly increase the general problem-solving ability of groups, such as:
 * How can DSM tool companies achieve the exponentially greater use of such tools as described by the “Domain Specific Modeling Tool Deployment” hypothesis?
 * How can DSM tool companies address the technology problems that can’t reliably be solved today according to the “solvability of classes of group problems” hypothesis?
 * How can DSM tool companies address the problem of invisible and undetectable centralization that exists according to the “technology gravity well” hypothesis?
 * How can DSM tool companies increase our collective capacity to address the existential social challenges defined by the “wicked problems” hypothesis?
 * How can DSM together with the concept of functional state spaces significantly accelerate the progress towards web 3.0?

Program Committee
* To be confirmed * Gunter Musbacher https://scholar.google.co.uk/citations?hl=en&user=VPT9ueMAAAAJ * Richard Paige https://scholar.google.co.uk/citations?hl=en&user=HzFjuyUAAAAJ * Jorge Kienzle https://scholar.google.co.uk/citations?user=INUL3eEAAAAJ&hl=en * Oliver Barais https://scholar.google.co.uk/citations?user=LV5i8X4AAAAJ&hl=en * Manuel Wimmer (https://scholar.google.com/citations?user=YZDY1psAAAAJ&hl=en), * Betty Cheng (https://scholar.google.com/citations?user=qABYFOIAAAAJ&hl=en), * Arnaud Blouin (https://scholar.google.com/citations?user=7L10ewwAAAAJ), * Jean-Michel Bruel (https://scholar.google.fr/citations?user=5shVHyoAAAAJ&hl=en) * Gregor Engels (https://scholar.google.fr/citations?user=3AV1TsAAAAAJ&hl=en&oi=ao) * Antonio Vallecillo (https://scholar.google.fr/citations?user=yiijLskAAAAJ&hl=en) * Alfonso Pierantonio (https://scholar.google.com/citations?user=JVTAEMMAAAAJ&hl=en)

Organizers
Andy E. Williams, Nobeah Foundation Ruzanna Chitchyan, University of Bristol Benoit Combemale, University of Rennes

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.