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Subject:
From:
Daniel Hopkins <[log in to unmask]>
Reply To:
Political Methodology Society <[log in to unmask]>, Daniel Hopkins <[log in to unmask]>
Date:
Tue, 28 Nov 2023 09:47:01 -0500
Content-Type:
text/plain
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text/plain (347 lines)
Dear POLMETH Colleagues,

With sincere apologies that this overlaps with POLMETH XLI due to
unavoidable scheduling constraints, I wanted to warmly invite you to submit
abstracts and/or tutorial proposals to join us in Philadelphia next July
17-20, 2024 for IC2S2, a leading computational social science conference.

Best,
Dan

*#####*


10th International Conference on Computational Social Science (IC2S2) -
Call for Abstracts and Tutorials

Date: July 17-20, 2024

Location: University of Pennsylvania, Philadelphia, Pennsylvania

Conference website: http://ic2s2.org/

Submission website:
https://openreview.net/group?id=IC2S2.org/2024/Conference

The International Conference on Computational Social Science (IC2S2) is the
premier conference bringing together researchers from different disciplines
interested in using computational and data-intensive methods to solve
problems relevant to society. IC2S2 hosts academics and practitioners in
computational science, complexity, network science, and social science, and
provides a platform for new research in the field of computational social
science.

Call for abstracts

Submissions are in the form of anonymous extended abstracts in PDF format,
formatted according to the official LaTeX
<https://www.ic2s2.org/files/IC2S2_2023_latex_template_tutorials.zip> or MS
Word <https://www.ic2s2.org/files/ic2s2_2023_word_template_tutorials.docx>
templates that can be downloaded from the submission website. The
submission should include a title, a list of 5 keywords, and an extended
abstract (serving as the main text of the submission). The abstract should
outline the impact of the work, along with (if relevant) the main
theoretical contribution, data and methods used, and findings. Authors are
strongly encouraged to include figures and/or tables in their submission.

Submission length: We have improved our submission guidelines to constrain
the number of figures and tables allowed. Extended abstracts should
comprise a maximum length of 2 pages excluding references, figures and
tables. The authors can additionally include up to 5 (in total) figures and
tables. No appendices are allowed. When submitting, authors will be also
asked to provide a short summary paragraph that will be used during the
review bidding phase. As the review process is double-blind, please do not
include the author(s) names or affiliation(s) in the paper, and do not
include funding or other acknowledgments. Papers violating the submission
guidelines will be desk rejected, and the decisions made will be final and
binding.

Types of contributions: The accepted contributions will be selected for one
of the following presentations: (i) a lightning talk (~6 mins) in a plenary
session, (ii) an oral presentation in parallel tracks, or (iii) a poster
presentation session. Lightning talks will be preferentially assigned to
those requesting this form of presentation at submission and to early
career researchers. In order to be included in the program, at least one of
the authors must register for the conference by the early-bird registration
deadline.

No published proceedings: Submissions will be non-archival, and thus the
presented work can be already published, in preparation for publication
elsewhere, or ongoing research. Abstracts will be reviewed by multiple
members of a Program Committee composed of experts in computational social
science.

Abstract submission deadline: February 24, 2024

Notification of acceptance: April 15, 2024

Early-bird registration deadline: May 8, 2024

Conference days: July 18-20, 2024

Call for tutorials

The aim with tutorials is that participants can take home knowledge and
skills on methods that they can apply to their own research. Priority will
be given to tutorials that include hands-on and active learning components.
Tutorials should be comprehensive and should not focus only on the
presenter’s previous work. We also welcome proposals for tutorials on
"disciplinary state of the art sessions" that give a focused overview on
the latest developments, trends and perspectives in a specific discipline
or research area and any other topics at the intersection of the social
sciences, computer science and/or statistics. Tutorials should be of
interest to a substantial portion of the community and should represent a
sufficiently mature area of research or practice. A regular tutorial slot
is 3 hours long. However, we are also accepting proposals for full-day
tutorials (6 hours). The full conference registration fee will be waived
for one organizer per tutorial.

Submissions for Tutorial proposals should be formatted according to the
official LATEX
<https://www.ic2s2.org/files/IC2S2_2023_latex_template_tutorials.zip> or MS
WORD <https://www.ic2s2.org/files/ic2s2_2023_word_template_tutorials.docx>
template and should be no more than three pages in length. The submission
file must be submitted in PDF format and should be no larger than 20MB.
Proposals should contain the following:


   -

   Title
   -

   Presenters / organizers: Please provide names, affiliations, email
   addresses, and short bios (up to 200 words) for each presenter. Bios should
   cover the presenters' expertise related to the topic of the tutorial. If
   there are multiple presenters, please describe how the time will be divided
   between them.
   -

   Topic: An abstract describing the topic (approximately 250 words)
   -

   Rationale: What is the objective / learning outcome of the tutorial?
   What is the benefit for the attendees? Why is this tutorial important to
   the IC2S2 community?
   -

   Format: A description of the proposed event format and a list of
   proposed activities, with a description of the hands-on component (tools,
   packages, methods etc). We encourage organizers to specify any technique
   that they can offer to broaden the accessibility of the content (e.g.,
   closed captioning of slides).
   -

   Equipment: A short note on equipment or features required for the
   tutorial.
   -

   Audience: A short statement about the expected target audience. What
   prior knowledge, if any, do you expect from the audience?
   -

   Proposed length: please choose from 3 hours (full session) or 6 hours
   (full day). If you are flexible, please indicate in the outline which parts
   will be included in the short/long versions.
   -

   Preferred time slot: Please indicate your preference for the morning
   slot (from 9:15am) or the afternoon slot (from 1:45pm)
   -

   Number of participants: Please specify the maximum number of
   participants that could reasonably attend and be instructed by the
   organizers.
   -

   Previous tutorials: Has the tutorial been presented previously? If so,
   specify the previous venues and years in which the event was held, and
   provide either a short description or a link to the websites of the
   previous editions.


Tutorial proposal submission deadline: January 19, 2024

Notification of tutorial acceptance: January 30, 2024

Early-bird registration deadline: May 8, 2024

Tutorial day: July 17, 2024

Conference days: July 18-20, 2024

Topics

We welcome submissions on any topic in the field of computational social
science, including (a) work that advances methods and approaches for
computational social science, (b) data-driven work that describes and
discovers social and cultural phenomena or explains and estimates relations
between them and other things, and (c) theoretical work that generates new
insights, connections and frameworks for computational social science
research. Researchers across disciplines, faculty, graduate students,
industry researchers, policy makers, and nonprofit workers are all
encouraged to submit computational data-driven research and innovative
computational methodological or theoretical contributions on social
phenomena for consideration. Topics include but are not limited to:


   -

   Methods and analyses of integrated human-machine decision-making
   -

   Network analysis of social systems
   -

   Methods and issues of data collection
   -

   Large-scale social experiments and/or phenomena
   -

   Agent-based or other simulation of social phenomena
   -

   Text mining, text analysis, and natural language processing (NLP) of
   social phenomena
   -

   Analysis of meaning through computational analysis of text, images,
   audio, video, etc.
   -

   Use of computational methods to map and study cultural patterns and
   dynamics
   -

   Theoretical discussions/concepts in computational social science
   -

   Integration and triangulation of multi-modal social and cultural data
   -

   Causal inference and computational methods for social science
   -

   Neural network methods for social analysis and policy exploration
   -

   Methods and analyses of algorithmic accountability and trustworthiness
   -

   Building and evaluating socio-technical systems
   -

   Novel digital data and/or computational analyses for addressing societal
   challenges
   -

   Methods and analyses of biased, selective, or incomplete observational
   social data
   -

   Social news curation and collaborative filtering
   -

   Methods and analyses for social information / digital communication
   dynamics
   -

   Ethics of computational research on human behavior
   -

   Reproducibility in computational social science research
   -

   Infrastructure to facilitate industry/academic cooperation in
   computational social science
   -

   Computational social science research in industry, government, and
   philanthropy
   -

   Science and technology studies approaches to computational science work
   -

   Practical problems in computational social science
   -

   Issues of inclusivity in computational social science
   -

   All other topics in computational social science


In addition to the list above, topics of specific interest for tutorials
also include:

   -

   Application of large language models in CSS research
   -

   Visual communication and data visualizations
   -

   Combining digital trace data and additional data (e.g., surveys)
   -

   Using sensors for studying behavior
   -

   Assessing biases in data collection
   -

   Best practices for working with online communities (including
   crowdsourcing and participants recruitment)
   -

   Legal and ethical dimensions of CSS research
   -

   Innovative mixed methods for research on socio-technical systems
   -

   Reproducibility in CSS research
   -

   Experimental design and development in CSS
   -

   Research Design and Causal Inference
   -

   Generative AI applications in social science research


Enquiries
For any questions regarding tutorial submissions, please write to:
[log in to unmask]

Best,
Dan

-- 
www.danhopkins.org
Professor, Department of Political Science, University of Pennsylvania
Secondary Appointments: Computer and Information Science and Annenberg
School for Communication
Author, The Increasingly United States
<https://www.press.uchicago.edu/ucp/books/book/chicago/I/bo27596045.html>
and Stable Condition
<https://www.russellsage.org/publications/stable-condition>

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