The Joint
Computation + Journalism
European Data & Computational Journalism
Conference 2023

22-24 June 2023
ETH Zurich - Switzerland

Call for Submissions Tickets and Registration
The Conference

The Joint Computation+Journalism and European Data & Computational Journalism Conference aims to bring together industry, practitioners and academics in the fields of journalism and news production.

Where
ETH Zurich - Switzerland
When
22-24 June 2023
Workshops
June 22nd 2023
Important dates
Proposal Submission
March 31st 2023
Proposal Notification
April 25th 2023
Camera Ready
May 15th 2023

This unique conference will focus on information, data, social and computer sciences, facilitating a multidisciplinary discussion on these topics in order to advance research and practice in the broad area of Data and Computational Journalism. This is a venue where journalists and researchers meet, news organisations share experiences with computational and social scientists, and together explore new kinds of practices that can serve the public good. The conference will present a mix of academic talks and keynotes from industry leaders.

This is the 10th edition of the Computation+Journalism Symposium (C+J), and the 4th edition of the European Data and Computational Journalism Conference (datajconf), held together jointly for the first time in 2023 in Zurich, Switzerland. It is also the first time that the C+J Symposium will be held outside of the US.

Confirmed Speakers
Meredith Broussard
Meredith Broussard
Associate Professor at New York University

Meredith Broussard is Associate Professor at the Arthur L. Carter Journalism Institute of New York University and Research Director at the NYU Alliance for Public Interest Technology.

She is the author of More than a Glitch Confronting Race, Gender, and Ability Bias in Tech (MIT Press, 2023) and Artificial Unintelligence: How Computers Misunderstand the World (MIT Press, 2019).

Her research focuses on artificial intelligence in investigative reporting, with particular interests in AI ethics and using data analysis for social good. She appears in the Emmy-nominated documentary «Coded Bias».

Follow her on Twitter @merbroussard or contact her via meredithbroussard.com.

Gary Liu
Gary Liu
Former CEO of the South China Morning Post

Gary Liu was CEO of the South China Morning Post until July 2022, a global news media company that has reported on China and Asia for more than a century. Gary was named a Young Global Leader by the World Economic Forum in 2019.

Prior to joining the SCMP in January 2017, Gary was CEO of Digg, spearheading the New York startup’s transformation from aggregator to a data-driven news platform. Previously, Gary was Head of Labs at Spotify, after joining the company as Global Director of Ad Product Strategy. Gary has also worked at AOL and Google.

Uli Köppen
Uli Köppen
Head of AI + Automation Lab BR (German Public Broadcaster) and co-Head of BR Data, Investigative data unit

Uli Köppen is head of AI + Automation Lab and co-head of the Investigative data unit at the German public broadcaster Bayerischer Rundfunk (ARD). She is an affiliate to the Berkman Klein Center for Internet and Society at Harvard.

She oversees a team of journalists, coders, and designers specializing in investigative data stories, interactive storytelling, and experimentation with new research methods such as bots and machine learning.

Ryan Cotterell
Ryan Cotterell
Tenure-track assistant professor at ETH Zurich in the Department of Computer Science

His research focuses on natural language processing and computational linguistics. He is an expert in deep learning, particularly for low-resource languages.

Call for Papers

The first Joint Computation + Journalism Symposium / European Computational and Data Journalism Conference aims to bring together a wide range of academics and industry practitioners for a large-scale inclusive event to discuss, present and learn about new research and practice in the broad fields of computational and data journalism.

We hope to attract researchers with curiosity about journalism, as well as news organisations looking to expand their reporting capabilities or experiment with new ways to generate, present or distribute stories.

We invite the submission of both academic, research-focused and industry-focused talks and sessions for the conference, on the subjects of journalism, data journalism, and information, data, social and computer sciences. Talks and sessions might cover a tool or methodology that could support new kinds of reporting or storytelling.

Perhaps you are a social scientist with a new way to think about public opinion. Or you are a researcher in the digital humanities with a fresh approach to thinking about collections of texts, identifying who they are about and the situations they describe. Or you are a media artist with a new visualisation of event-based data, exploring the temporality of how things unfolded. You might consider proposing a complete session on the description of a significant collaboration between journalists and some other field, perhaps discussing the backstory to a complicated piece of reporting.


Topics of interest include, but are not limited to:

  • Application of data and computational journalism within newsrooms
  • Data driven investigations
  • Data storytelling
  • Open data for journalism, storytelling, transparency and accountability
  • Algorithms, transparency and accountability
  • Automated, robot and chatbot journalism, AI in the newsroom
  • Newsroom software and tools
  • «Post-fact» journalism and the impact of data
  • User experience and interactivity
  • Data and Computational Journalism education
  • Post-desktop news provision/interaction
  • Data mining news sources
  • Visualisation and presentation
  • News games and gamification of News
  • Bias, ethics, transparency and truth in Data Journalism
  • Newsroom challenges with respect to data journalism, best practices, success and failure stories


You may contribute to the conference in different ways. You can propose an academic paper, a contributed talk, a contributed session, or a contributed workshop. In general, proposals should explore the interface between computing, data and journalism, covering the entire process and practice of journalism in context.

Forms of participation
  • Academic refereed paper presenting original research with a three to five-page PDF. These can be submitted using the ACM template here. Papers will be published in the conference proceedings but this will be non-archival.
  • A contributed industry/practice talk with an abstract of at most 250 words.
  • A contributed workshop with an abstract of at most 250 words. These are training sessions led by journalists, practitioners or researchers, introducing a topic of interest to the community.
  • A contributed panel session with three or four speakers. Each speaker will provide an abstract of at most 250 words, and the session organiser should submit a similar abstract describing the overall topic of the session.

All proposals should be submitted through Easychair, with a deadline of 31st March 2023.

The program committee will organise a set of keynote speakers and invited sessions.

For any questions about submissions or the conference, please email us, contact one of the organisers directly, or get in touch via twitter.

Organization
Program Chair
Bahareh Heravi
Dr. Bahareh Heravi
Professor of AI & Media, Institute for People-Centred AI, University of Surrey, England
General Co-Chairs
Fabio Zund
Dr. Fabio Zünd
Managing Director, Media Technology Center, ETH Zurich, Switzerland
Fabio Zund
Titus Plattner
Innovation project manager, Tamedia, Switzerland
Web Editor
Fabio Zund
Dr. Martin Chorley
Reader (Associate Professor), School of Computer Science & Informatics, Cardiff University
Program committee
Bahareh Heravi (chair)
University of Surrey
Meredith K. Broussard
New York University
Emily Bell
Columbia Journalism School
Larry Birnbaum
Northwestern University
Matthew Brehmer
Tableau Research
Alberto Cairo
University of Miami
Matthew Carroll
Northeastern University
Sarah Cohen
Arizona State University
Matthew Conlen
Our World in Data
Nicholas Diakopoulos
Northwestern University
Catherine D'Ignazio
Massachusetts Institute of Technology
Irfan Essa
Georgia Tech
James T. Hamilton
Stanford University
Naeemul Hassan
University of Maryland
Jessica Hullman
Northwestern University
Kenny Joseph
University at Buffalo
David Lazer
Northeastern University & Harvard University
Scott Klein
The City
Maggie Mulvihill
Boston University
Jonathan Stray
UC Berkeley
John Wihbey
Northeastern University
Amy Zhang
UC Berkeley
Cheryl Phillips
Stanford University
Eddy Borges Rey
Northwestern University
Paul Bradshaw
Birmingham City University
Marc Esteve del Valle
University of Groningen
Florian Stalph
LMU Munich
Silvia Majo-Vazquez
University of Oxford
Carl-Gustav Linden
University of Bergen
Andreas Veglis
Aristotle University of Thessaloniki
Glyn Mottershead
City, University of London
Martin Chorley
Cardiff University
Bella Palomo
University of Malaga
Steering committees
C+J Symposium
Nick Diakopoulos
Northwestern University
Mark Hansen
Columbia University
Alberto Cairo
University of Miami
Larry Birnbaum
Northwestern University
Rich Gordon
Northwestern University
John Wihbey
Northeastern University
Bahareh Heravi
University of Surrey
DataJConf
Bahareh Heravi
University of Surrey
Martin Chorley
Cardiff University
Glyn Mottershead
City University London
Academic Partners
Sponsors