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GROUP Track of PACMHCI

The Group track of PACMHCI (GROUP) is devoted to research on Sociotechnical Studies, Practice-Centered Computing, Human Computer Interaction, Computer Supported Collaborative Learning, Computer Supported Cooperative Work, and related areas. The GROUP track encourages any research into broader questions across society and computing. 

The review process takes place two times annually. This page describes the process and upcoming deadlines. It also lists the current members of the editorial board, who serve for at least 2 years.

If you have any questions, please contact [email protected].

Track Chairs

Maria Menendez-Blanco
Free University of Bozen-Bolzano, Italy

(2023-2025)

Matthieu Tixer
University of Technology of Troyes, France

(2023-2025)

Donghee Yvette Wohn
New Jersey Institute of Technology, USA

(2023-2025)

Supervisory Chair

Aleksandra Sarcevic
Drexel University, USA


Important Dates

The First Wave of reviewing will start in May and complete in late September. The due dates for the various phases of the process will be as follows:

  • Abstract and Title Submission: May 31, 2023
  • Submission Deadline: June 7, 2023
  • 1st Round Reviews and Notifications: August 30, 2023
  • Resubmit Contributions Invited for Revision: October 4, 2023
  • 2nd Round Decisions: November 15, 2023

Please note that while we do our best to meet the deadlines for sending out reviews and final decisions, work takes place across many time zones, and sometimes circumstances may result in a several days delay from the posted dates.

Call for Papers

The GROUP track of PACMHCI welcomes submissions in a variety of forms. Traditional Papers report on high quality, rigorous research results. We are also accepting submissions in the category of Design Fictions, which may use a variety of speculative methods to explore the futures towards which technology research and design are working. Finally, we explicitly encourage shorter Notes style submissions, which maintain a high level of quality and rigor while focusing on a more circumscribed result that can be presented succinctly. To help set expectations, authors will have the opportunity to indicate to reviewers that their submission should be reviewed as a paper, a note, and/or as a design fiction.

Key goals for the track are to encourage and facilitate researchers within social, collaborative, and practice-centered computing, and sociotechnical studies to present recent research contributions. We also encourage research contributions from interdisciplinary groups to present work that might be difficult to place within one simple category. We are open to diverse and innovative research methods, and to contributions across broad areas such as systems, society, participation, critique, collaboration, and human interaction. GROUP track in particular would like to encourage cross-disciplinary research across computing, social science, law, and algorithmic systems design, as well as researchers from industry, academia, government, and other interested groups to participate.

Track topics include (but are not limited to):

  • Theoretical, methodological, and/or conceptual contributions about key concepts relevant to CSCW and HCI, including critique.
  • Social, behavioral, and computational studies of collaboration and communication.
  • Technical architectures supporting collaboration.
  • New tools/toolkits for collaborative technologies.
  • Ethnographic studies of collaborative practices.
  • Coordination and workflow technology.
  • Social computing and contexts of collaboration.
  • Current work in, and future visions of, practice-centered computing.
  • Social justice, ethical dimensions, and related issues in CSCW, HCI, and/or sociotechnical systems.
  • Online communities, including issues of privacy, identity, trust, and participation.
  • Cooperative knowledge management.
  • Algorithmic decision-support systems, automation, and human-AI collaboration.
  • Civic technologies and their uses.
  • Organizational issues of technology design, use, or adaptation.
  • Strategies for use of technology in business, government, and newer forms of organizations.
  • The ethical conduct of research studying group work and sociotechnical systems.
  • Emerging technologies and their design, use, or appropriation in work, home, leisure, entertainment, or education.
  • Learning at the workplace (CSCL at work, Technology-Enhanced Learning, TEL).
  • Co-located and geographically-distributed teams, global collaboration.
  • Cultural and cross-cultural collaboration and communication.
  • Mobile and wearable technologies in collaboration.
  • Innovative forms of human computer interaction for cooperative technologies.

Submission Details

Papers should be written in the ACM small format, as documented on the PACMHCI web site

Papers have no fixed minimum or maximum number of pages. Paper length should be commensurate with contribution, and typical paper submissions are between 8,000 and 10,000 words.

Submitted papers should be anonymized. Primarily, this means that submissions must remove all author and institutional information from the title and header area of the first page of the paper. Author information should also be removed from submitted supplementary materials, in particular, videos. Submissions that do not do so may be rejected without review.

Furthermore, all references must remain intact. If you previously published a paper and your current submission builds on that work, the complete reference with authors’ names must appear in the references. Authors must refer to their previous work in the third person (e.g., “We build on prior work by Smith et al. [X] but generalize their algorithm to new settings.”) and avoid blank references (e.g., “12. REMOVED FOR REVIEWING”). Further suppression of identity in the body of the paper, for example in an Acknowledgements section, while encouraged, is left to the authors’ discretion.

PACMHCI does not have a policy against uploading preprints to SSRN or arXiv before they are submitted for review by the journal.
We also expect the reviewers to refrain from taking steps to learn about the author’s identity during the peer review process.

Submit your papers at http://new.precisionconference.com/.

Review Process

Each round of reviewing starts with a submission deadline and proceeds similarly to a single iteration of a typical journal process. The following is a template for the process:

  • T-1 Week. Abstract Deadline
  • T+0 Full Paper Submission Deadline
  • T+0.5 Week. Track Editorial Board Paper Bidding
  • T+1 Week. Reviewer Assignments Complete or Desk Rejection
  • T+5 Weeks. Reviewing Complete
  • T+6.5 Weeks. Discussion and Meta-Review Complete
  • T+7 Weeks. First Round Reviews and Decision Notifications
  • T+11.5 Weeks. Revision Period Complete
  • T+13.5 Weeks. Reviewing of Revisions Complete
  • T+15 Weeks. Discussion and Meta-Review of Revisions Complete
  • T+15.5 Weeks. Virtual Track Chairs Meeting
  • T+16 Weeks. Final Decision Notifications

Reviewing Details

A Track Editorial Board has been appointed for the GROUP track and is listed below. Track Editorial Board members serve as both reviewers and managers of the review process.

Each submitted paper will be reviewed by three members of the Track Editorial Board, assigned by the Track Chairs. The primary Track Editorial Board member for a paper will manage the review process for each paper by: writing their own individual review, ensuring that all three reviews are submitted, leading any discussion, and writing a meta-review. The other two non-primary Editorial Board members will each provide full reviews. All three Editorial Board members will work together to reach a recommendation to be discussed by the Track Chairs at the virtual Track Chairs meeting.

All reviewing will be double-blind, with papers anonymized and reviewer identities kept confidential. Only the Track Editorial Board member serving as primary will be aware of the identities of both authors and reviewers, for organizational and communication purposes. The non-primary board members are blind to the identity of the authors.

An important aspect of the journal reviewing process is good communication between the authors and the Track Editorial Board member handling the paper. In some journals, the identity of the Editorial Board member is revealed to the authors from nearly the beginning, and authors can communicate with their Board member freely. For the GROUP track, the primary Track Editorial Board member will be anonymous to the authors by default, and anonymous communication between the parties will be enabled during the revision process through the PCS 2.0 review system. At the primary Track Editorial Board member’s discretion, he or she may reveal their identity to the authors for the purposes of discussion, especially for papers requiring revision and between review cycles.

A key aspect to the review process is that continuity is maintained for each paper within each round of the GROUP track. A revision to a previous submission within each round will be handled by the same Editorial Board members. Submissions rejected from previous rounds and resubmitted to a subsequent round will be treated as new submissions.

Revisions

Revisions must be submitted within the original submission round, about ~1 month post decision to guarantee treatment as a revision (meaning that the same Editorial Board Members are assigned).

Revisions will be distinguished from original submissions by the authors on the submission form, where there will be fields for the authors to upload their revised submissions and log of changes.

Decisions

There are four decision types in this process:

  • Desk Rejection - An exceptional category for papers that the Track Chairs judge to not have any chance at acceptance. Desk rejections are processed and decisions are reported to authors within a week following submission.
  • Rejection - Papers can be rejected at two points in the review process. First, the paper is assigned to the reviewers who come to a decision that paper is not acceptable to the GROUP track at this time. Second, the paper is reviewed and given a Major Revisions decision (see below). However, upon re-review, it is determined that the paper did not adequately address the issues raised in the initial review and is not acceptable to the GROUP track at this time. The authors may choose to revise and resubmit a rejected paper to the next round. There is no guarantee that the same Editorial Board members will be assigned. Repeatedly resubmitted rejected papers may be desk rejected.
  • Major Revisions - The paper is expected to be acceptable to the GROUP track if reasonable effort is spent on revision. A future revision may be rejected if the authors do not respond to the revision requirements of the Editorial Board. All Editorial Board members who reviewed the initial submission will review the revised version.
  • Minor Revisions - The paper is expected to be acceptable to the GROUP track if reasonable effort is spent on revision. A future revision may be rejected if the authors do not respond to the revision requirements of the Editorial Board. Only the primary Editorial Board member will review the revised version.
  • Acceptance - The paper has been accepted to the GROUP track and will enter the ACM camera-ready process. The Editorial Board may ask for further small revisions, and authors are expected to comply with such requests. There will be an opportunity for Editorial Board members to check these revisions and iterate with the authors in case further revisions are required before publication.

Track Editorial Board

The editorial board of the GROUP track is made up of the following individuals. Each member has committed to serving on the editorial board for at least 2 years.

  • Francisco Maria Calisto, ITI/LARSyS, IST - U. Lisboa
  • Brianna Dym, Northeastern University
  • Myriam Lewkowicz, Université de Technologie de Troyes
  • Francisco Nunes, Fraunhofer Portugal AICOS
  • Austin Toombs, Indiana University
  • Douglas Zytko, University of Michigan-Flint
  • Igor Steinmacher, Federal University of Technology - Paraná
  • Khuloud Abou Amsha, UTT
  • Nervo Verdezoto, Cardiff University
  • Joshua Introne, Syracuse University
  • Dave Randall, University of Siegen
  • Patrick Shih, Indiana University Bloomington
  • Irina Shklovski, University of Copenhagen
  • Mauro Pichiliani, IBM Research
  • Nelson Tenório, Kobenhavn Universitet
  • Leticia Machado, UFPA
  • Laura Gaytán-Lugo, Universidad de Colima
  • Aaron Halfaker, Microsoft
  • Susan Fussell, Cornell University
  • Alexander Boden, Fraunhofer Institute for Applied Information Technology FIT
  • Claus Bossen, Aarhus University
  • Alina Krischkowsky, University of Salzburg
  • David McDonald, University of Washington
  • Sukeshini Grandhi, Eastern Connecticut State University
  • Lindah Kotut, Virginia Tech
  • Claudia Lopez, Universidad Técnica Federico Santa María
  • Yung-Ju Chang, National Yang Ming Chiao Tung University
  • Joseph Lindley, Lancaster University
  • Michael Muller, IBM Research
  • Ethel Ong, De La Salle University
  • Hilda Tellioglu, Faculty of Informatics, TU Wien
  • Marcos R. S. Borges, University of Navarra
  • Yubo Kou, Pennsylvania State University
  • Fernando Figueira Filho, UFRN
  • Sultan Alharthi, University of Jeddah
  • Cathrine Seidelin, University of Copenhagen
  • Shuyuan Mary Ho, Florida State University
  • Isa Jahnke, University of Technology Nuremberg
  • Julia Haines, Google
  • Ella Peltonen, University of Oulu
  • Chen Guanliang, Monash University
  • Airi Lampinen, Stockholm University
  • Nora McDonald, University of Cincinnati
  • Samantha Mitchell Finnigan, Northumbria University
  • Francisco Gutierrez, University of Chile
  • Marisa Cohn, IT University of Copenhagen
  • Rob Comber, KTH Royal Institute of Technology
  • Erik Grönvall, IT University of Copenhagen
  • Alexander Nolte, University of Tartu
  • Carolina Fuentes, Cardiff University
  • Andrea Grover, University of Nebraska at Omaha
  • Ying-Yu Chen, National Chiao Tung University
  • Adriana Vivacqua, Universidade Federal do Rio de Janeiro - UFRJ
  • Andrea Tartaro, Furman University
  • Flavio Figueiredo, Universidade Federal de Minas Gerais
  • Nadine Sandjo, Roskilde University
  • Nigini Oliveira, University of Washington
  • Vaninha Vieira, UFBA - Federal University of Bahia
  • Jenny Waycott, The University of Melbourne
  • Stephan Lukosch, University of Canterbury
  • Shuo Niu, Clark University
  • Thomas Ludwig, University of Siegen
  • Peter Tolmie, University of Siegen
  • Claudia Müller-Birn, Freie Universität Berlin
  • Gro-Hilde Severinsen, Norwegian Center for e-Health Research
  • Line Silsand, University Hospital of North Norway
  • Christine Satchell, Queensland University of Technology
  • Chuang-wen You, National Tsing Hua University
  • Gunnar Ellingsen, Norwegian centre for e-health research, Tromsø
  • Chengzheng Sun, Nanyang Technological University
  • Maurizio Teli, Aalborg University
  • Chien Wen (Tina) Yuan, National Taiwan Normal University
  • Clara Caldeira, Indiana University, Bloomington
  • Verena Fuchsberger, University of Salzburg
  • Morgan Ames, UC Berkeley
  • Julia Bullard, University of British Columbia
  • Aqueasha Martin-Hammond, Indiana University - Purdue University Indianapolis
  • Troels Mønsted, Roskilde University
  • Kathleen Pine, Arizona State University
  • Vasilis Vlachokyriakos, Newcastle University
  • Karla Badillo-Urquiola, University of Central Florida
  • Clara Crivellaro, Newcastle University
  • Marina Kogan, University of Utah
  • Chunyang Chen, Monash University
  • Jose Maria David, Federal University of Juiz de Fora
  • Arup Kumar Ghosh, Jacksonville State University
  • Naveena Karusala, University of Washington
  • André Freire, Universidade Federal de Lavras
  • Alex Ahmed, Northeastern University
  • Devansh Saxena, Marquette University
  • Luiz Morais, Université Paris-Saclay, CNRS, Inria, LISN
  • Mayara Costa Figueiredo, University of California, Irvine
  • Lesandro Ponciano, Pontifical Catholic University of Minas Gerais
  • Pei-Yi (Patricia) Kuo, National Tsing Hua University
  • Sandjar Kozubaev, Georgia Institute of Technology
  • Ana Paula Chaves, Northern Arizona University
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