News
- : Extended abstract PDFs, keynote slides PDF, and video recordings are now available.
- : The workshop schedule is published.
- : Registration for Wiki Workshop 2024 is now open. Register on Pretix!
- : Call for proposals for Wiki Workshop Hall published.
- : Keynote speaker is announced!
- : OpenReview link and submission template are published.
- : Key dates, call for contributions and submission instructions are published.
- : Wiki Workshop 2024 webpage online.
- : Wiki Workshop 2024 will be fully remote.
Schedule
The times in the table below are in UTC. 12:00 UTC is 5:00 in San Francisco, 8:00 in New York City, 15:00 in Nairobi, and 20:00 in Beijing.
- | Welcome and Orientation |
- | Getting to Know Each Other |
- | Research track (parallel sessions) |
- | Break |
- | Live Music |
- | Wikimedia Foundation Research Award of the Year ceremony |
- | Wiki Workshop Hall (parallel sessions) |
- | Break |
- | Research track (parallel sessions) |
- | Break |
- | Keynote Presentation |
- | Break |
- | Live Music |
- | Wiki Workshop Hall (parallel sessions) |
- | Town hall and open conversation |
- | Closing |
Keynote
Brent Hecht (Microsoft)
Dr. Brent Hecht is Director of Applied Science at Microsoft, where he is helping lead the company-wide efforts to introduce generative AI into Microsoft’s products and to adapt Microsoft’s products to a hybrid work world. Dr. Hecht has an additional appointment as an Associate Professor at Northwestern University and leads Northwestern’s People, Space, and Algorithms (PSA) Research Group. Dr. Brent Hecht has been doing award-winning human-centered artificial intelligence (AI) research for over 10 years. His early work was central in identifying what we now call ‘algorithmic bias’. More recently, he did some of the first research on ways for content producers to have a say in how their content is used in AI models like LLMs, defining what we now call ‘data labor’ and ‘data leverage’. He is the recipient of a CAREER award from the U.S. National Science Foundation and his work has received Best Paper recognition at top-tier publication venues in human-centered AI (e.g. ACM SIGCHI, ACM KDD, ACM CSCW, ACM Mobile HCI, AAAI ICWSM). Dr. Hecht’s research has been featured by The New York Times, the Washington Post, Wired, MIT Tech Review, the Atlantic, Le Monde, Der Spiegel, and other outlets. He was on the founding executive committee of ACM FAccT, the premiere publication venue for responsible AI research, he played a key role in catalyzing the rapidly growing movement for AI researchers (e.g. NeurIPS authors) to more deeply engage with the societal impacts of their work, and is a founding member of the Responsible AI Licenses Initiative, which defined the release license for Stable Diffusion and Hugging Face’s LLMs.
Accepted extended abstracts
Accepted Hall sessions
- Between Open Knowledge and GenAI: a decade-long academic journey with Wikimedia
- Wikimedia Spain: Building Governance & Facing Knowledge Gaps
- Repurposing Public Archival Multimedia to Build Foundational Speech Data
- Wikidata Quality Toolkit: Entity Schema Generator Demonstration
- Global Digital Compact: organizing a global advocacy campaign
- Building the Wikimedia/Wikipedia Dataset: Challenges and Future Enhancements
- Crunching the new HTML page dumps
Program committee
- Leah Ajmani (University of Minnesota)
- Tanja Anđić (Wikimedia Foundation)
- Pablo Aragón (Wikimedia Foundation)
- Akhil Arora (Ecole Polytechnique Fédérale de Lausanne)
- Wenceslao Arroyo-Machado (Arizona State University)
- Aitolkyn Baigutanova (Korea Advanced Institute of Science and Technology)
- Hannah Brueckner (NYU Abu Dhabi)
- Ana María Castillo (University of Chile)
- Kaylea Champion (University of Washington)
- Giovanni Colavizza (University of Bologna)
- Gianluca Demartini (University of Queensland)
- Djellel Difallah (NYU Abu Dhabi)
- Carla Toro Fernández (Wikimedia Chile)
- Sebastián Ferrada (Universidad de Chile)
- Patrick Gildersleve (London School of Economics and Political Science)
- Giovanni De Gregorio (Universidade Católica Portuguesa)
- Sohyeon Hwang (Northwestern University)
- Steve Jankowski (University of Amsterdam)
- Isaac Johnson (Wikimedia Foundation)
- Lucie-Aimée Kaffee (Hugging Face)
- Kiriaki Kalimeri (ISI Foundation)
- Andreas Kaltenbrunner (Universitat Pompeu Fabra)
- Brian Keegan (University of Colorado Boulder)
- Os Keyes (University of Washington)
- Isabelle Langrock (Sciences Po)
- Amanda Lawrence (Royal Melbourne Institute of Technology)
- Zachary J. McDowell (University of Illinois at Chicago)
- Florian Meier (Aalborg University)
- Daniele Metilli (University College London)
- Finn Nielsen (Technical University of Denmark)
- Miriam Redi (Wikimedia Foundation)
- Diego Sáez-Trumper (Wikimedia Foundation)
- Marija Šakota (Ecole Polytechnique Fédérale de Lausanne)
- Bruno Scarone (Northeastern University)
- Nicole Schwitter (University Mannheim)
- Indira Sen (University of Konstanz)
- Claudia Șerbănuță (Făgăraș Research Institute)
- Aaron Shaw (Northwestern University)
- Ivan Smirnov (University of Technology Sydney)
- Andreas Spitz (University of Konstanz)
- Krishna Srinivasan (Google)
- Nathan TeBlunthuis (University of Michigan)
- Michele Tizzani (ISI Foundation)
- Mykola Trokhymovych (Universitat Pompeu Fabra)
- Veniamin Veselovsky (Ecole Polytechnique Fédérale de Lausanne)
- Matthew A. Vetter (Indiana University of Pennsylvania)
- Morten Warncke-Wang (Wikimedia Foundation)
- Jheng-Hong Yang (University of Waterloo)
- Jisung Yoon (Northwestern University)
- Dale Zhou (UC Irvine)
- Kai Zhu (Bocconi University)
Key dates
- Submission deadline:
- Author notification:
- Final version due:
- Workshop date:
Call for contributions
Previous editions
Organization
- Kinneret Gordon (Wikimedia Foundation)
- Leila Zia (Wikimedia Foundation)
- Martin Gerlach (Wikimedia Foundation)
- Pablo Aragon (Wikimedia Foundation)
- Pablo Beytía (Catholic University of Chile)
- Robert West (EPFL)