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.
|12:00 - 12:30||Welcome and icebreaking|
|12:30 - 13:20||Featured & lightning talks, Part I|
|13:20 - 13:25||Break|
|13:25 - 13:35||Music|
|13:35 - 14:30||A panel conversation with Catherine Adeya (WWW Foundation) and Denny Vrandečić (Wikimedia Foundation)|
|14:30 - 14:40||Break|
|14:40 - 15:40||Keynote: Yolanda Gil (ISI, USC)|
|15:40 - 15:50||Break|
|15:50 - 16:00||Music Break|
|16:00 - 16:15||Wikimedia Foundation Research Award of the Year|
|16:15 - 17:05||Featured & lightning talks, Part II|
|17:05 - 17:10||Wrap up|
|17:10 - 18:00||Poster session in breakout rooms|
|18:00 - 18:30||The social event|
Dr. Yolanda Gil is Senior Director for Strategic Artificial Intelligence and Data Science Initiatives at the Information Sciences Institute of the University of Southern California, and Research Professor in Computer Science and in Spatial Sciences. She is also Director of Data Science programs and of the USC Center for Knowledge-Powered Interdisciplinary Data Science. She received her M.S. and Ph. D. degrees in Computer Science from Carnegie Mellon University, with a focus on artificial intelligence. Her research is on intelligent interfaces for knowledge capture and discovery, which she investigates in a variety of projects concerning scientific discovery, knowledge-based planning and problem solving, information analysis and assessment of trust, semantic annotation and metadata, and community-wide development of knowledge bases. Dr. Gil collaborates with scientists in different domains on semantic workflows and metadata capture, social knowledge collection, computer-mediated collaboration, and automated discovery. She is a Fellow of the Association for Computing Machinery (ACM), the Association for the Advancement of Science (AAAS), and the Institute of Electrical and Electronics Engineers (IEEE). She is also Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), and served as its 24th President.
Denny Vrandečić is the Head of Special Projects at the Wikimedia Foundation, where he leads the work on Abstract Wikipedia and Wikifunctions. Previously, he worked on the Google Knowledge Graph. He is the founder of Wikidata and co-founder of Semantic MediaWiki. He received a PhD from KIT. He was the founder of the Croatian Wikipedia, and was an elected member of the Wikimedia Foundation Board of Trustees. He has lived in Croatia, Stuttgart, Rome, Los Angeles, Berlin, and now Berkeley.
Dr. Catherine Adeya is the Director of Research at the World Wide Web Foundation, where she is responsible for coordinating a research team dedicated to interrogating and understanding the most important barriers to achieving our vision of a web that is safe and empowering for everyone. She is an experienced leader, researcher, and advocate with over 20 years working in technology and development with rich experience across academia, civil society, government, and the private sector. Catherine extensive knowledge and is widely published in the ICT for Development sector. She began her career as a Research Fellow at the United Nations University’s Institute for New Technologies in Maastricht, The Netherlands. Driven by a commitment to tackling global inequality, she moved back to Africa due to her belief that the web and digital technologies must be used to expand opportunities and drive development. Catherine is an expert in bilateral and multilateral agency operations with consolidated expertise and excellent skills in research, project planning and execution, finance management and policy development.
Workshop date: April 14, 2021. This year’s workshop will be a virtual event.
If authors want paper to appear in proceedings:
If authors do not want paper to appear in proceedings:
We invite contributions to Wiki Workshop 2021 which will take place virtually and as part of The Web Conference 2021. Wiki Workshop, now in its 8 edition, is an annual research event aimed at bringing together researchers who explore all aspects of the Wikimedia projects including Wikipedia (in more than 160 actively edited languages), Wikidata, Wikimedia Commons, Wiktionary, and beyond. With members of the Wikimedia Foundation's Research team on the organizing committee and with the experience of successful workshops in 2015, 2016, 2017, 2018, 2019, and 2020, we aim to continue facilitating a direct pathway for exchanging ideas between the organization that serves Wikimedia projects and the researchers interested in studying them.
This year’s edition of the workshop will celebrate the 20 birthday of Wikipedia.
Topics of interest include, but are not limited to
Papers should be 1 to 8 pages long and will be published on the workshop webpage and optionally (depending on the authors' choice) in the proceedings of the Web Conference 2021. The review process will be single-blind (as opposed to double-blind), i.e., authors should include their names and affiliations in their submissions. Authors whose papers are accepted to the workshop will have the opportunity to present their work to the workshop attendees as part of the workshop’s poster session.
We explicitly encourage the submission of preliminary work in the form of extended abstracts (1 or 2 pages).
Papers should be 1 to 8 pages long. We explicitly encourage the submission of preliminary work in the form of extended abstracts (1 or 2 pages). No need to anonymize your submissions.
For submission dates, see above.
Miriam is a Research Scientist at the Wikimedia Foundation and Visiting Research Fellow at King's College London. Formerly, she worked as a Research Scientist at Yahoo! Labs in Barcelona and Nokia Bell Labs in Cambridge. She received her PhD from EURECOM, Sophia Antipolis. She conducts research in social multimedia computing, working on fair, interpretable, multimodal machine learning solutions to improve knowledge equity.
Leila is the Head of Research at the Wikimedia Foundation. Her current research interests are on understanding Wikipedia's readers, quantifying and addressing the gaps of knowledge in Wikipedia and Wikidata, and understanding and improving diversity in Wikipedia. She holds a PhD in management science and engineering from Stanford University.
Bob is an assistant professor of Computer Science at EPFL, where he heads the Data Science Lab. His research aims to understand, predict, and enhance human behavior in social and information networks by developing techniques in data science, data mining, network analysis, machine learning, and natural language processing. He holds a PhD in computer science from Stanford University.
Please direct your questions to wikiworkshopgooglegroupscom.