A forum bringing together researchers exploring all aspects of Wikimedia projects. Held virtually as a standalone event, May 11, 2023.
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 - 12:15 | Welcome and Orientation |
12:15 - 12:25 | Getting to Know Each Other |
12:25 - 13:45 | Research and Developer tracks (parallel sessions) |
13:45 - 13:50 | Break |
13:50 - 14:00 | Live Music |
14:00 - 15:20 | Research and Developer tracks (parallel sessions) |
15:20 - 15:30 | Live Music and Break |
15:30 - 16:30 | Panel - AI and the Future of the Wikimedia Projects (Video) |
16:30 - 16:40 | Break |
16:40 - 17:55 | Research track (parallel sessions) |
17:55 - 18:00 | Break |
18:00 - 18:05 | Live Music |
18:05 - 18:20 | Wikimedia Foundation Research Award of the Year ceremony (Video) |
18:20 - 18:45 | Town hall and open conversation |
18:45 - 18:50 | Closing (Video) |
Isaac Johnson is a Senior Research Scientist at the Wikimedia Foundation. He conducts foundational research and develops new AI technologies to support contributors in addressing knowledge gaps on the Wikimedia projects. He focuses on doing this in an ethical and sustainable manner. Examples of projects in this space have included developing topic classification models that cover all 300+ languages of Wikipedia, guiding the roll-out of generative models within Wikimedia edit recommender systems, and participating in the data governance working group for BigScience's BLOOM large language model.
Elena Simperl is a Professor of Computer Science at King’s College London and the ODI’s Director of Research. She is also a Fellow of the British Computer Society, a Fellow of the Royal Society of Arts, a senior member of the Society for the Study of AI and Simulation of Behaviour, and a former Fellow of the Alan Turing Institute. Elena’s research is in human-centric AI, exploring socio-technical questions around the management, use, and governance of data in AI applications. According to AMiner, she is in the top 100 most influential scholars in knowledge engineering of the last decade. She also features in the Women in AI 2000 ranking. In her 15-year career, she has led 14 national and international research projects, contributing to another 26. She is the scientific and technical lead of the European programme MediaFutures, researching how arts, entrepreneurship and AI can help tackle online harms. She served as programme and general chair to conferences in artificial intelligence, social computing, and data innovation. She is the president of the Semantic Web Science Association.
Thomas is a co-founder of Hugging Face where he oversees the open-source team and the science teams. He enjoys creating open-source software that make complex research accessible and is most proud of creating the Transformers and Datasets libraries as well as the Magic Sand tool. When not building OSS, he pushes for open-science in research in AI/ML, to lower the gap between academia and industrial labs by imagining projects like the BigScience Workshop on Large Language Models. His current research interests are centered around overcoming the current limitations of Large Language Models with multi-modalities and complementary approaches. Thomas enjoys writing and filming educational content on ML and NLP, including writing the reference book Natural Language Processing with Transformers published by O'Reilly and written with co-authors Lewis Tunstall and Leandro von Werra, writing in his medium blog and recording out-of-the-ordinary videos like The Future of Natural Language Processing.
Photo by Sumanth69 (CC BY-SA 4.0)
Neechalkaran is a Wikipedian & Computational Linguist from Tamilnadu. Developer of ChatWiki (Wikidata based ChatBOT), VaaniNLP (Tamil NLP library) and various language tools like Tamil Spell checker, Indic Transliteration. Developed various userscripts and BOT for Indic Languages. He created more than 23,000 articles in Tamil wikipedia and 35,000 pages in Tamil Wiktionary. Neechalkaran was a recipient of Information Technology in Tamil Award from Canada Tamil Literary Garden & Tamil Computing Award from Government of Tamilnadu. He has organized various Technology Workshops and Hackathons related to Wikimedia, Life science, Language Computing in South India.
Photo by Diegodlh (CC0 1.0)
Diego de la Hera is a scientist and wikimedian from Argentina. He contributes to technical projects, including the development of tools such as Cita, a Wikidata addon for Zotero, and Web2Cit, a tool to collaboratively improve automatic citations in Wikipedia. He is also one of the founders and member of Wikimedistas Calamuchita, a non-recognized user group in the Calamuchita Valley in Córdoba, Argentina, and of Wikitécnica, a community of Spanish-speaking technical wikimedians.
Nidia Hernández is a linguist (University of Buenos Aires) and a specialist in natural language processing (Paris 3/INALCO). She is a member of CAICYT-CONICET (Buenos Aires, Argentina) where she develops resources for Digital Humanities projects and she also collaborates in the documentation, processing and analysis of endangered languages of South America.
Sohom Datta is a student and is one of the volunteer developers working on the ProofreadPage extension at Wikimedia. The ProofreadPage extension provides "proofreading" capabilities to MediaWiki, which is essential for Wikisource, a project that aims to be a free library that anyone can improve. Sohom started his journey in 2020 as a Google Summer of Code student and worked on various features related to Wikisource, such as the inclusion of the Pagelist widget, an interface aimed at simplifying the act of labelling the page number for a book. More recently, in 2021 and 2022, he was involved in efforts to streamline the editing interface for Wikisource, including the addition of IIIF support and the improvement of zooming and panning mechanisms.
We invite contributions to the 10th edition (!) of Wiki Workshop, which will take place virtually on May 11, 2023 (tentatively 12:00-19:00 UTC). Wiki Workshop is the largest Wikimedia research event of the year, aimed at bringing together researchers who study all aspects of Wikimedia projects (including, but not limited to, Wikipedia, Wikidata, Wikimedia Commons, Wikisource, and Wiktionary) as well as Wikimedia developers, affiliate organizations, and volunteer editors. Co-organized by the Wikimedia Foundation’s Research team and members of the Wikimedia research community, the workshop facilitates a direct pathway for exchanging ideas between the organizations that serve Wikimedia projects and the researchers actively studying them. New this year: Building on the successful experiences of organizing Wiki Workshop in 2015, 2016, 2017, 2018, 2019, 2020, 2021, and 2022 and based on feedback from authors and participants over the years, we are introducing a few updates to the research track of the workshop for 2023:
Topics include, but are not limited to:
This year’s Wiki Workshop solicits extended abstracts (PDF format, maximum 2 pages, including references). Submissions that exceed the 2-page limit will be automatically rejected. Authors may include 1 additional page with figures and/or tables (including captions) only. Initial submissions require names and affiliations of authors, 5 keywords, a title, abstract, and a main text outlining the contribution, methods, findings, and impact of the work, whichever is relevant. Submissions will be non-archival and as a result may have already been published, under review, or ongoing research. All submissions will be reviewed by multiple members of the Wiki Workshop Program Committee. The names of the authors will be revealed to the reviewers, whereas reviewers will remain anonymous to authors. Authors of accepted abstracts will be invited to present their research in a pre-recorded oral presentation with dedicated time for live Q&A on May 11, 2023. Accepted abstracts may be shared on the website prior to the event. The template for abstracts can be found here. Please review our Privacy Statement before submitting your abstract on EasyChair.
Please direct your questions to wikiworkshopgooglegroupscom.