European Symposium Series on Societal Challenges
in Computational Social Science
2019: Polarization and Radicalization
|March 10th, 2019||Workshops and tutorials proposal submission deadline|
|March 30th, 2019||Workshops and tutorials acceptance notification|
|Extended to April 20th, 2019||Deadline for abstract submission|
|May 10th, 2019||Deadline for dataset challenge submission, doctoral consortium submission and travel grant applications|
|June 10th, 2019||Notification of acceptance (including travel grants)|
|August 10th, 2019||Registration closes|
|September 2nd, 2019||Pre-symposium day (workshops/tutorials/dataset challenge)|
|September 3rd-4th, 2019||Main symposium|
This is the third in a series of three symposia that discuss societal challenges in computational social sciences. In 2019, the focus will be on “Polarization and Radicalization” (Zurich, 2019). In the previous two years, the focus was “Inequality and Imbalance” (London, 2017) and “Bias and Discrimination” (Cologne, 2018).
With these three events we provide a platform to address one of the most pressing challenges in today’s digital society: understanding the role that digital technologies, the Web, and the algorithms used therein play in the mediation and creation of inequalities, discrimination and polarization.
By addressing inequality as the topical issue for the symposium series we intend to explore how CSS can contribute to opening up new ways of thinking about, of measuring, detecting and coping with social inequality, discrimination, and polarization. We will discuss how divides and inequalities are proliferated in digital society, how social cleavages can be observed via web data, how the organizational structure of the web itself generates biases and inequality, and how, in contrast, algorithms and computational tools might help to reduce discrimination and inequality. We will also investigate how bias and unequal social structures foster political tension and polarization, including issues of radicalization and hate.
The Symposium series is funded by the Volkswagen Foundation.
The Euro CSS 2019 will be a three-day event consisting of:
|Anupama Aggarwal, GESIS – Leibniz Institute for the Social Sciences||Jürgen Lerner, University of Konstanz|
|Luca Maria Aiello, Nokia Bell Labs||Matteo Magnani, Uppsala University|
|Fred Amblard, IRIT – University Toulouse 1 Capitole||Friedolin Merhout, Duke University|
|Jisun An, Qatar Computing Research Institute, Hamad Bin Khalifa University||Stasa Milojevic, Indiana University Bloomington|
|Mario Angst, Eawag||Sophie Muetzel, University of Lucerne|
|Pablo Aragón, Universitat Pompeu Fabra||Atte Oksanen, University of Tampere|
|Pablo Barberá, London School of Economics||Sarah Otner, Imperial College Business School|
|Andrea Baronchelli, City, University of London||Symeon Papadopoulos, Information Technologies Institute|
|Ulrik Brandes, ETH Zurich||Alessandro Provetti, Birkbeck, University of London|
|Cody Buntain, University of Maryland||Hemant Purohit, George Mason University|
|Michele Coscia, IT University of Copenhagen||Cornelius Puschmann, Alexander von Humboldt Institute for Internet and Society|
|Clau Dermont, University of Zurich||Luca Rossi, IT University of Copenhagen|
|Achim Edelmann, University of Bern||Camille Roth, CNRS|
|Victor M. Eguiluz, IFISC (CSIC-UIB)||Giancarlo Ruffo, University of Turin|
|Uwe Engel, University of Bremen||Rossano Schifanella, University of Turin|
|Kiran Garimella, École polytechnique fédérale de Lausanne (EPFL)||Ingo Scholtes, ETH Zurich|
|Kristina Gligoric, École polytechnique fédérale de Lausanne (EPFL)||Carsten Schwemmer, University of Bamberg|
|Przemyslaw Grabowicz, Max Planck Institute for Software Systems||Uwe Serdült, Ritsumeikan University|
|André Grow, Max Planck Institute for Demographic Research||Xiaoling Shu, University of California, Davis|
|Oul Han, University of Koblenz||Elisaveta Sivak, National Research University Higher School of Economics|
|Raphael H. Heiberger, University of Bremen||Sebastian Stier, GESIS – Leibniz Institute for the Social Sciences|
|Kazuhiro Kazama, Wakayama University||Carmen Vaca, ESPOL|
|Brian Keegan, University of Colorado Boulder||George Valkanas, Detectica, Inc.|
|Katharina Kinder-Kurlanda, GESIS – Leibniz Institute for the Social Sciences||Johannes Wachs, Central European University|
|Bennett Kleinberg, University College London||Ingmar Weber, Qatar Computing Research Institute|
|Andreas Koch, University of Salzburg||Robert West, École polytechnique fédérale de Lausanne|
|Dominik Kowald, Know-Center||Gregor Wiedemann, University of Hamburg|
|Juhi Kulshrestha, GESIS – Leibniz Institute for the Social Sciences||Christo Wilson, Northeastern University|
|Anders Olof Larsson, Westerdals Oslo School of Arts, Communication and Technology||Arkaitz Zubiaga, The University of Warwick|
|Kristina Lerman, University of Southern California|
Workshop: Challenges and Opportunities in Automated Coding of Contentious Political Events < Click for more details
Organized by Erdem Yörük (Koç University & University of Oxford), Ali Hürriyetoğlu (Koç University), Çağrı Yoltar (Koç University), Fırat Durusan (Ankara University & Koç University), Osman Mutlu (Koç University) and Aline Villavicencio (University of Essex)
Tutorial: Designing and Conducting Online Experimental Studies in Social Networks < Click for more details
Organized by Mohsen Mosleh (Massachusetts Institute of Technology)
Tutorial: Higher-Order Network Analytics for Time-Stamped Data on Social Interactions
Organized by Ingo Scholtes (University of Zurich)
Tutorial: Introduction to Multi-edge Network Inference in R Using the Ghypernet-package
Organized by Giona Casiraghi and Laurence Brandenberger (ETH Zurich)
Tutorial: Polarization on Social Media < Click for more details
Organized by Kiran Garimella (Aalto University), Gianmarco De Francisci Morales (ISI Foundation), Michael Mathioudakis (University of Helsinki) and Aristides Gionis (Aalto University)
Workshop: A Gentle Introduction to Word Embeddings for Computational Social Sciences < Click for more details
Organized by Maximilian Mozes (University College London) and Bennett Kleinberg (University College London)
Workshop: Validating Models of Opinion Polarization in the Digital Era < Click for more details
Organized by Michael Mäs (University of Groningen), Marijn Keijzer (University of Groningen) Andreas Flache (University of Groningen) and Jan Lorenz (Jacobs University Bremen)
We welcome submissions in the intersection of the social sciences and the computer sciences, including (a) new approaches for understanding social phenomena and addressing societal challenges, (b) improving methods for computational social science, (c) and understanding the influence of the Web and digital technologies on society.
For the 3rd Symposium we are especially interested in the following four main topics:
I. misinformation and censorship
(including political tension, upheaval and disrupt; public sphere in the digital age; social media as alternative communication channels; information leakage; whistleblowing)
II. discourse polarization and echo chambers
(including discourse radicalization; effects of filter bubbles; online and offline radicalization; diffusion of information)
III. online and offline group formation
(including global, national and local network structures; effects of weak and strong ties in contemporary and historic societies; mobilization patterns)
IV. political polarization and populism
(including political networks and party politics; detection of radicalization and deradicalization; political campaigning)
Submission deadline: April 20th, 2019
Acceptance notification: June 10th, 2019
Conference days: September 3rd and 4th, 2019
Extended abstracts should be submitted in English and in pdf format [here]
Submissions should be abstracts of approx. 2-3 pages (up to 1000 words plus references and figures) summarizing the work to be presented. We encourage researchers to also submit abstracts of work that has already been published and/or submit work in progress. Please give a sufficiently detailed description of your work and your methods so we can adequately assess its relevance. Please consider that reviewers will be from an interdisciplinary community.
Each extended abstract will be reviewed by a Program Committee composed of experts in computational social science. Accepted submissions will be non-archival, i.e. there are no proceedings. Submissions will mostly be evaluated based on relevance and the potential to stimulate interesting discussions. Submissions may be accepted as talks or posters.
Workshops will give the opportunity to meet and discuss issues with a selected focus, providing an excellent forum for exploring emerging approaches and task areas and bridging the gaps between the social science and technology fields.
Tutorials will be an opportunity for cross-disciplinary engagement and a deeper understanding of new tools, techniques, and research methodologies. Tutorials should provide either an in-depth look at an emerging technique or software package or a broad summary of an important direction in the field.
Members of all segments of the social media research community are encouraged to submit proposals. To foster interaction and exchange of ideas, the workshops will be kept small, with 30 participants maximum.
Submission deadline: March 10th, 2019
Acceptance notification: March 30th, 2019
Workshops and tutorials day: September 2nd, 2019
Please submit your workshop or tutorial proposal by sending a PDF file via email to email@example.com
Proposals for workshops and tutorials should be no more than three (3) pages in length (10pt, single column, with reasonable margins), written in English, and should contain the following:
a) A concise title
b) The names, affiliations, and contact information of the organizers
c) Planned duration of the event (half-day or full-day meeting)
d) A short abstract describing the scope and main objective of the event
e) A description of the proposed event format and a detailed list of proposed activities
Workshops and tutorials will be selected based on the following criteria:
1) Timeliness of the topic
2) Potential to attract the interest of researchers in computer science and social/organizational sciences
3) Promotion of activities that are different from the classic mini-conference format; those include challenges, games, interactive sessions, brainstorming and networking.
4) Involvement people of different backgrounds in the organizing committee
5) Addressing topics at the intersection of different disciplines
This year the symposium will again feature a doctoral consortium. It will take place on the pre-symposium day September 2, 2019.
PhD candidates from all disciplines that work on topics related to computational social science are welcome to apply for participation. The doctoral consortium is non-public and will only be open to participants that have been selected based on their applications.
During the doctoral consortium, participants will receive individual feedback on their work from two experts of different areas in CSS who will join as mentors during the event. Participants will also have the opportunity to connect with other PhD candidates in the field. Participation in the doctoral consortium is most useful for doctoral candidates “in the middle” of their PhD, but in exceptional cases we might also select people who have only recently started working on their topic or are already close to finishing their PhD.
Based on the submissions we will select participants to present their work in the consortium meeting and to participate in discussions and mentoring sessions. We are interested in all topics that fit into computational social science, the topic of the PhD thesis does not have to be directly related to this year’s symposium theme “polarization and radicalization”.
Applications should be submitted via Easychair: https://easychair.org/conferences/?conf=eurocsssymposium2019
Submissions should be PDF files of up to approx. 1000 words, including the following information:
Deadline for submissions is May 10th, 2019.
Participants presenting in the doctoral consortium can also apply for travel grants. The number of grants as well as the amount per grant is limited. Please see more detailed information here.
The second Dataset Challenge of the European Symposium on Societal Challenges in CSS invites researchers and practitioners from the spectrum of Social and Computational Sciences to approach a common topic through a selection of datasets. The aim of this challenge is to encourage creative engagement with data from pluralistic perspectives in order to foster dialogue across disciplines. We envision that this challenge will lead to fruitful, in-depth discussions during the symposium, as participants will have a shared basis through interaction with the dataset(s), but varying ideas of where to go with it.
The research questions and methods applied to the dataset(s) can be drawn from the broad spectrum of computational social science. The aim of the challenge is to provide an empirical understanding of machine behavior, quantitatively analyzing the behavior of intelligent machines in their natural environments when interacting with humans. We are specially interested in both the behavior of machines and of humans when interacting with each other through any medium.
Topics of interest include but are not limited to:
We ask participants of the dataset challenge to be creative in their approach to the data.
The work presented at the symposium can be early stage, but should be methodically sound and provide either preliminary insights into an interesting research question or first inductively-reached conclusions of systematic patterns of bias in the dataset. These can also be on a meta-level or may be designated to positioning the work in broader theoretical contexts. We especially invite inventive combinations with other datasets or comparisons across data sources (e.g., other online media, data in other languages, data from other case studies).
Submissions selected by our review committee will be presented in a special dataset challenge session at the pre-symposium day (September 2nd, 2019). After the presentations, participants (and audience members) are invited to engage in discourse about the presented approaches and possible future work and collaborations.
A jury will select the best presentation (including any created resources, such as secondary datasets or analysis code) to be awarded the second Euro CSS Dataset Challenge Award (to be announced).
Extended abstracts of work in progress or completed projects based on the suggested dataset(s) should be submitted in English in PDF format via the EasyChair submission system: https://easychair.org/conferences/?conf=eurocsssymposium2019
Submissions should be abstracts of approx. 2-3 pages (maximum up to 1000 words plus references and figures).
The abstract submissions will be evaluated based on originality and the potential to stimulate interesting discussions, but should also consider the feasibility of the proposed idea. Please consider that reviewers will be from an interdisciplinary community, therefore describe your ideas, approaches and potential complementary datasets in sufficient detail.
Submission deadline: May 10th, 2019
Acceptance notification: June 10th, 2019
Dataset Challenge: September 2nd, 2019
Please see the additional information for how to apply to travel grants here.
The following datasets all relate to machine behavior when interacting with humans. Participants of the challenge should make use of one or more of the main datasets listed below and are encouraged to combine them or compare them among each other, as well as complementing them with additional information or comparing them with other datasets of similar nature.
Do matchmaking algorithms create collective effects in online games? Can we detect the aggregated behavior of bots in a Twitch-based videogame? How does the behavior of players depend on the decisions of bots and algorithms in gaming?
Do social bots influence user behavior, such as posting, liking, and the expression of opinions or emotions? How can we measure the way social bots react to human behavior, follow trends, or promote content? Is there a consistent way to formalize the spectrum between human and bot behavior through cyborg or semi-automated accounts?
Does the presence of automated accounts affect the editing behavior of Wikipedia contributors? Do bots in collaborative projects accelerate or hinder content production? What are the observable traces of bot presence in the content?
For any questions related to technical aspects or submissions, write us to firstname.lastname@example.org
A Science Slam is an epic scientific event where scientists compete with short talks on their research. It’s just like a poetry slam, but with science instead of poems. Slammers are completely free to do whatever they want on stage, everything is allowed including slides, games, the more creative, the better!
The only two rules are:
1) The topic of the slam has to be related to data science / computational social science or to social media, online data or digital behavioral data, and
2) Presentations should not take more than 8 minutes.
When? –>September 2nd, 8pm
Where? –> “BQM” at polyterrasse in ETH Zurich (http://www.bqm-bar.ch/)
How much? –> For free!
Do you want to present at the slam? –> Send an email with the title and a short description of what you want to do to email@example.com the latest by August 10th, 2019
The symposium will take place in Switzerland at the ETH Zurich campus in Zurich city center.
Participants are kindly asked to go the ML Buliding for registration first, before heading to the HG building for the pre-symposium day.
ML Building (Maschinenlaboratorium, D-MAVT)
Address: Sonneggstrasse 3, 8092 Zurich
HG Building (Schulleitung, Verwaltung, D-MATH, D-GESS)
Address: Rämistrasse 101, 8092 Zurich
The bQm Culture Café & Bar is a popular location located at the Polyterrasse in ETH Zurich.
Address: Leonhardstrasse 34, 8092 Zurich
The ETH Zurich Zentrum campus is a 10-minute walk from the Zurich Main Station. Alternatively, you can reach the Zentrum campus by tram no. 6 or 10 from the Zurich Main Station. The nearest stop is “ETH/Universitätsspital”.
From the Zurich Airport, take the tram no. 10 and get off at “ETH/Universitätsspital”. The journey takes around 30 minutes.
Visit the ETH Zurich website to find out more on how to get to the ETH Zurich Zentrum campus.
Due to the generous funding by Volkswagen Foundation we are able to offer a limited number of travel grants to researchers whose submissions are accepted for the symposium (presenters of talks or posters at the main symposium, workshop or tutorial organizers, accepted participants of doctoral consortium and dataset challenge).
Travel grant recipients will be selected based on academic excellence, financial needs and diversity (e.g. gender, geographical and disciplinary diversity).
To apply for a travel grant please send an email with the subject “Travel Grant” to firstname.lastname@example.org including the following information: a) your submission number in EasyChair or the title of your submitted workshop/tutorial, b) your contact details, c) your motivation for the grant application and d) whether you will still attend the symposium without a travel grant.
Travel grants will be awarded as lump sums, the amount to be awarded will be based on the country of the awardee’s affiliation.
Grants will be paid out after the conference.
The grants aim to especially support attendees with limited travel resources and attendees from countries where computational social science is not yet well established. We acknowledge that there may be more meritorious applications than we will be able to award and support.
Deadline for travel grant applications is May 10th, 2019 (for all submission types). Late applications cannot be considered.
Letters of support can be requested by accepted European Symposium Series on Societal Challenges in Computational Social Science authors or registrants with a completed registration with payment. If you are attending the European Symposium and require a letter of support, please send the following information in an email with the subject “Visa Support” to email@example.com: