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[ecrea] CfP: IC2S2 2017 - 3rd International Conference on Computational Social Science

Tue Feb 21 20:57:54 GMT 2017



July 10-13, 2017

Cologne, Germany


Twitter: #IC2S2 / @IC2S2



CONFIRMED KEYNOTE SPEAKERS (more to be announced)

Ulrik Brandes (University of Konstanz)

Kathleen Carley (Carnegie Mellon University)

Ciro Cattuto (ISI Foundation)

Emily Falk (University of Pennsylvania)

Justin Grimmer (Stanford University)

Jeff Hancock (Stanford University

Ágnes Horvát (Northwestern University)

Cecilia Mascolo (University of Cambridge)

María Pereda (Charles III University of Madrid)

Daniel Romero (University of Michigan)

Matt Taddy (Microsoft Research)

Milena Tsvetkova (London School of Economics and Political Science)

Dashun Wang (Northwestern University)


This international conference (now in its third edition) aims to bring together scientists from different disciplines and research areas to meet and discuss computational problems in the study of social systems and dynamics, as well as research questions motivated by large datasets, either extracted from real applications (e.g. social media, communication systems), or created via controlled experiments or computational models The goal of the conference is to create a broad and interdisciplinary community of researchers, including academics, tech industry workers, open data activists, government agency workers, and think tank analysts, who are committed to advancing social science knowledge through computational methods.

In addition to keynote speakers and paper sessions, the conference will also include a series of training opportunities and tutorials. Please see the call for tutorials below.




We welcome submissions on any topic in the intersection of the social sciences and the computer sciences, including (a) new approaches for understanding social phenomena, (b) improving methods for computational social science, (c) and improving conditions for computational social science research. But we are especially interested in:

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

• Text analysis and natural language processing of social phenomena

• Network analysis of social systems

• Large-scale social experiments and/or phenomena

• Causal inference and computational methods for social science

• Methods and analyses of algorithmic accountability

• 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

• Methodological integration and triangulation of 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

• 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

Researchers across disciplines, faculty, graduate students, industry researchers, policy makers, and non-profit workers are all encouraged to submit computational data-driven research and innovative computational methodological or theoretical contributions on social phenomena for consideration.




Deadline for abstract submission: 01 March 2017 (23:59 Hawaii time)

Notification of acceptance: 13 April 2017

Conference dates: 10-13 July 2016




Contributions to the conference should be submitted via EasyChair at

The submission should include a title, a list of 5 keywords, and an extended abstract (= main text of the submission) with at least one figure, formatted as a PDF file no larger than 20MB. Please give a sufficiently detailed description of your work and your methods so we can adequately assess its relevance. Please do not include authors’ names and affiliations in the submitted document as peer review will be double blind. Each extended abstract will be reviewed by a Program Committee composed of experts in computational social science. Please follow the abstract template guidelines for formatting and note that abstracts longer than 3 pages will be automatically rejected.

For additional information, see the conference website which also includes the Extended Abstract Template (.docx and LaTeX, available at

The deadline for submission is 01 March 2017 (23:59 Hawaii time). Notice of acceptance will be 13 April 2017.

We will do our best to have mostly oral presentations of the selected contributions, both plenary and in parallel sessions. However, since we cannot estimate the number of submissions we may accept some abstracts for a poster session.

Submissions are non-archival.




We also welcome proposals for tutorials on topics at the intersection of the social sciences, computer science and/or statistics. We will consider any topic; provided that the proposal makes a strong argument that the tutorial is important for the IC2S2 community. Tutorials should be of interest to a substantial portion the community and should represent a sufficiently mature area of research or practice. Tutorials should be comprehensive and should not focus only on the presenter’s previous work.

We anticipate that each accepted tutorial will be 3 hours long. However, we are also accepting half-tutorials (1.5 hours) and full-day tutorials (6 hours).




Proposals for tutorials should provide the following information:

• Title

• Abstract (up to 250 words)

• Description and outline: What material will the tutorial cover? In what depth? Please provide a detailed outline. If available, please include URLs for slides and video recordings of the presenters' previous tutorials.

• Presenters: Who are the presenters? 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.

• Rationale: What are the objectives of the tutorial? What is the benefit for the attendees? Why is this tutorial important for IC2S2 community?

• Target audience: What is the target audience? From which areas do you expect potential participants to come? What prior knowledge, if any, do you expect from the audience? How many attendees do you expect?

• A list of the most important references that will be covered.

• Previous tutorials: Has the tutorial (or a similar/highly related tutorial) been presented at another venue previously? If so, please list the dates and venues, and describe the similarities and differences between the previous tutorials and proposed tutorial.

• Proposed length of the tutorial: please choose from 1.5 hours (half session), 3 hours (full session), and 6 hours (full day). If you are flexible, please indicate in the outline the content that will not be included if a short/long version of the tutorial is given. If you would like to give a 6 hour tutorial please justify why a full day is necessary.




Please send your proposals for tutorials to: (ic2s2tutorialchairs /at/ <mailto:(ic2s2tutorialchairs /at/>




Tutorial proposals due: 10 March 2017

Notifications: 17 March 2017







Markus Strohmaier, GESIS & University of Koblenz-Landau

Dirk Brockmann, Humboldt University Berlin

Noshir Contractor, Northwestern University

Brian Uzzi, Northwestern University




Aaron Clauset, University of Colorado Boulder

Sandra González-Bailón, University of Pennsylvania

Brian Keegan, University of Colorado Boulder

Katrin Weller, GESIS Leibniz Institute for the Social Sciences




Ceren Budak, University of Michigan

Jürgen Pfeffer, Technical University of Munich

Derek Ruths, McGill University




Markus Strohmaier, GESIS & University of Koblenz-Landau

Dirk Brockmann, Humboldt University Berlin

Noshir Contractor, Northwestern University

Brian Uzzi, Northwestern University

Matthew O. Jackson, Stanford University

Helen Margetts, University of Oxford

Duncan Watts, Microsoft Research

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