Wiki-research-l February 2023

wiki-research-l@lists.wikimedia.org

12 participants
16 discussions

[events] Wiki Workshop 2023 Announcement
by Leila Zia 26 Jul '23

26 Jul '23

Hi everyone, Wiki Workshop [1 <https://wikiworkshop.org/>] 2023 will be the 10th edition of Wiki Workshop! \o/ In the spirit of research and experimentation, we have decided to make some changes for this decade edition event. There are some changes that we know about now, and some that are work in progress. Below you can learn more about the high level changes we expect to implement. *Online or in-person?* Based on the feedback that we have gathered from Wiki Workshop attendees over the past few years, a survey of authors of the recent Wiki Workshops, as well as data about the geographical and gender diversity of Wiki Workshop attendees (disclosed optionally as part of the registration form, and aggregated), *we have decided to offer Wiki Workshop 2023 as a fully online event*. Through the authors' survey we also learned that some authors who publish in Wiki Workshop appreciated the in-person presence of the Wiki Workshop community as part of the Web Conference [2 <https://www2023.thewebconf.org/>] (formerly WWW). *We are exploring options to bring the Wikimedia researchers who will attend TheWebConf 2023 in-person together while some of us will be in Austin*. More details on this in early 2023. *When* We expect the workshop to take place some time in April-June 2023. We will announce the exact date no later than the end of February 2023. *Publishing and proceedings* When we surveyed Wiki Workshop authors, those who responded were split 50-50 between whether it is important for them to have their workshop submission as part of a proceedings. This allowed us to start considering options other than the Companion Proceedings of WWW (the traditional venue where a subset of Wiki Workshop papers were published in every year). I'm very excited to share that we have found a new approach for publishing Wiki Workshop papers that can allow us to experiment with new models and keep the two groups of authors happy. For the 2023 edition, *we will continue with the tradition of receiving paper submissions for Wiki Workshop* (though we may change the submission format/length for 2023)* and all accepted papers will appear in the **corresponding Wiki Workshop website*, similar to last year's. [3 <https://wikiworkshop.org/2022/#papers>] However, instead of accepting a subset of the papers to appear in Proceedings of WWW, we are working with the Editor in Chief of ACM Transactions on the Web (TWEB) [4 <https://dl.acm.org/journal/tweb>] to create a pathway for a subset of the Wiki Workshop papers (likely after being extended) to be submitted for review to *a special edition of ACM TWEB*. There are a lot of details for us to work on to make the TWEB special edition happen and that means this year you should expect to receive the Call for Paper for Wiki Workshop some time in late January to middle of February 2023 (instead of the usual December time-frame). I am very excited about the opportunity for the work of the Wikimedia research and Wiki Workshop community to be published as part of ACM Transactions on the Web and I'm very grateful to Ryen White, Editor-in-Chief of ACM TWEB, for being welcoming in exploring this idea and offering a special edition space (details tbd). *Other changes* There are some other high level schedule changes that we may make for the 2023 edition. If you like to stay informed about these changes at a granular level and over time, you're welcome to subscribe to the Phabricator task where these changes will be tracked: https://phabricator.wikimedia.org/T313530 . We hope to be back with more updates for you in early 2023. Best, Leila, Bob and Emily p.s. Please note that I didn't run the text of this email with Bob and Emily (cc-ed). We have coordinated and discussed these changes among ourselves, and they're welcome to add/update as they see fit. [1] https://wikiworkshop.org/ [2] https://www2023.thewebconf.org/ [3] https://wikiworkshop.org/2022/#papers [4] https://dl.acm.org/journal/tweb -- Leila Zia Head of Research Wikimedia Foundation

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Wikipedia Research policy
by song＠cs.umn.edu 14 Jul '23

14 Jul '23

Pursuant to prior discussions about the need for a research policy on Wikipedia, WikiProject Research is drafting a policy regarding the recruitment of Wikipedia users to participate in studies. At this time, we have a proposed policy, and an accompanying group that would facilitate recruitment of subjects in much the same way that the Bot Approvals Group approves bots. The policy proposal can be found at: http://en.wikipedia.org/wiki/Wikipedia:Research The Subject Recruitment Approvals Group mentioned in the proposal is being described at: http://en.wikipedia.org/wiki/Wikipedia:Subject_Recruitment_Approvals_Group Before we move forward with seeking approval from the Wikipedia community, we would like additional input about the proposal, and would welcome additional help improving it. Also, please consider participating in WikiProject Research at: http://en.wikipedia.org/wiki/Wikipedia:WikiProject_Research -- Bryan Song GroupLens Research University of Minnesota

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Talk on open participation and information quality in Wikipedia (Benjamin Mako Hill, 2023-02-15)
by Tristan Miller 27 Mar '23

27 Mar '23

The Wikimedia Foundation has developed a set of ML/AI systems that have been shaping editing behaviour on Wikipedia. How these tools have impacted the efficiency and fairness of moderation work will be discussed in "Balancing Open Participation and Information Quality in Wikipedia Using Machine Learning", a talk by Benjamin Mako Hill of the University of Washington. The talk is part of the 2023 Lecture Series of the Austrian Research Institute for Artificial Intelligence: https://www.ofai.at/events/lectures2023 Members of the public are cordially invited to attend the talk via Zoom on Wednesday, 15 February at 18:30 CET (UTC+1): URL: https://us06web.zoom.us/j/84282442460?pwd=NHVhQnJXOVdZTWtNcWNRQllaQWFnQT09 Meeting ID: 842 8244 2460 Passcode: 678868 Talk abstract: Peer produced information goods like free/open source software and Wikipedia are both increasingly important and increasingly under threat. This talk will describe how Wikipedia has sought to balance its commitment to open editing and its desire to allow participation from unvetted and anonymous users with its need to maintain high information quality in its articles. I will focus on the way that a set of ML/AI systems developed by the Wikimedia Foundation allow scholars to measure the value of contributions from anonymous users and the surprising way that these systems can also be used by the Wikipedia community to shape editing behavior. I will argue that use of these ML/AI systems can both improve the efficiency of moderation work while also making moderation actions more fair to anonymous contributors who are the source of substantial vandalism by reducing reliance on social signals and making norm violations by everyone else more visible. Speaker biography: Benjamin Mako Hill is an Associate Professor in the University of Washington Department of Communication and an Adjunct Associate Professor in the Department of Human-Centered Design & Engineering, the Paul G. Allen School of Computer Science & Engineering, and the Information School. He is a member of Community Data Science Collective which he founded with Aaron Shaw. At UW, he is also Affiliate Faculty in the Center for Statistics and the Social Sciences, the eScience Institute, and the "Design Use Build" (DUB) group that supports research on on human computer interaction. He is also a Faculty Associate at the Berkman Klein Center for Internet and Society at Harvard University and an affiliate of the Institute for Quantitative Social Science at Harvard. -- Dr.-Ing. Tristan Miller, Research Scientist Austrian Research Institute for Artificial Intelligence (OFAI) Freyung 6/6, 1010 Vienna, Austria | Tel: +43 1 5336112 12 https://logological.org/ | https://punderstanding.ofai.at/

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[events] Wiki Workshop 2023 Call for Papers
by Martin Gerlach 22 Mar '23

22 Mar '23

Hi everyone, The call for papers for the 10th Wiki Workshop in 2023 is out: https://wikiworkshop.org/2023/#call Submit your 2-page abstracts by March 23 (all submissions are non-archival). The workshop will take place on May 11, 2023. For more information, see the workshop website [1]. If you have questions about the workshop, please let us know on this list or at wikiworkshop(a)googlegroups.com. Looking forward to seeing many of you in this year's edition. Best, Pablo Aragón, Wikimedia Foundation Martin Gerlach, Wikimedia Foundation Evelin Heidel, Wikimedistas de Uruguay Emily Lescak, Wikimedia Foundation Francesca Tripodi, University of North Carolina Bob West, EPFL Leila Zia, Wikimedia Foundation [1] https://wikiworkshop.org/2023/ — 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 <https://wikiworkshop.org/2015/>, 2016 <https://wikiworkshop.org/2016/>, 2017 <https://wikiworkshop.org/2017/>, 2018 <https://wikiworkshop.org/2018/>, 2019 <https://wikiworkshop.org/2019/> , 2020 <https://wikiworkshop.org/2020/>, 2021 <https://wikiworkshop.org/2021/>, and 2022 <https://wikiworkshop.org/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: - This 10th edition will take place as a standalone event (rather than in co-location with a conference, as in previous years). - We have changed the format of submissions and will only accept 2-page extended abstracts (following the successful IC2S2 model). - Submissions are non-archival, so we welcome ongoing, completed, and already published work. - We are excited to share that the authors of Wiki Workshop 2023 will have the opportunity to receive feedback, improve their work, and submit the extended version of their research paper to a special issue of the ACM Transactions on the Web, which will have a dedicated open call for papers later in 2023. Topics include, but are not limited to: - new technologies and initiatives to grow content, quality, equity, diversity, and participation across Wikimedia projects - use of bots, algorithms, and crowdsourcing strategies to curate, source, or verify content and structured data - bias in content and gaps of knowledge on Wikimedia projects - relation between Wikimedia projects and the broader (open) knowledge ecosystem - exploration of what constitutes a source and how/if the incorporation of other kinds of sources are possible (e.g., oral histories, video) - detection of low-quality, promotional, or fake content (misinformation or disinformation), as well as fake accounts (e.g., sock puppets) - questions related to community health (e.g., sentiment analysis, harassment detection, tools that could increase harmony) - motivations, engagement models, incentives, and needs of editors, readers, and/or developers of Wikimedia projects - innovative uses of Wikipedia and other Wikimedia projects for AI and NLP applications and vice versa - consensus-finding and conflict resolution on editorial issues - dynamics of content reuse across projects and the impact of policies and community norms on reuse privacy, security, and trust - collaborative content creation - innovative uses of Wikimedia projects' content and consumption patterns as sensors for real-world events, culture, etc. - open-source research code, datasets, and tools to support research on Wikimedia contents and communities - connections between Wikimedia projects and the Semantic Web - strategies for how to incorporate Wikimedia projects into media literacy interventions 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 formatting the submission as well as the submission link to easychair will be made available by February 23. -- Martin Gerlach (he/him) | Senior Research Scientist | Wikimedia Foundation

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strategies to parse the relevant links from wikipedia
by Luigi Assom 06 Mar '23

06 Mar '23

Hi All, for an applied research work, I am working on extracting links from the Wikipedia corpus. I've been using in the past the XML streams, but not I was hoping to speed up and handle better the situation by parsing the sql tables. However, I am stuck on this: I could not find a way to filter the relevant links. I can only filter by namespace apparently, while I want to only keep the links that were mentioned in the main text, still namespace 0, but not belonging to the infoboxes and navboxes menu. How could I do that? Is there any information that a link belongs to a menu or to the main content, beyond the namespace? Thanks All for your help, L.

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CFP: wikihistories 2023: Wikipedia and its implications for memory (and forgetting)
by Heather Ford 24 Feb '23

24 Feb '23

https://wikihistories.net/2023-conference/ wikihistories 2023: Wikipedia and its implications for memory (and forgetting) Call for papers From its earliest beginnings shortly before 911,[1]<https://wikihistories.net/2023-conference/#ftnt1> Wikipedia has documented history as it happens. Revolutions,[2]<https://wikihistories.net/2023-conference/#ftnt2> terrorist attacks,[3]<https://wikihistories.net/2023-conference/#ftnt3> earthquakes,[4]<https://wikihistories.net/2023-conference/#ftnt4> fires and floods have been written about on the platform, often within minutes of the first recorded protests, attacks, and blazes. This practice of documentation, conducted by volunteers who are connected by shared interest rather than shared expertise, falls between the disciplines of digital journalism and history. What does Wikipedia’s coverage of events “that haven’t even stopped happening yet”[5]<https://wikihistories.net/2023-conference/#ftnt5> mean for history-making on the platform? Researchers have noted that recent events are covered more than early history[6]<https://wikihistories.net/2023-conference/#ftnt6>, and stories are more often presented from colonialist rather than local perspectives.[7]<https://wikihistories.net/2023-conference/#ftnt7> More recently, Wikipedia has been uncovered as a site of both conscious forgetting and the “frenzy of commemorations,”[8]<https://wikihistories.net/2023-conference/#ftnt8> a venue for nationalist propaganda projecting particular stories that favour particular ideologies and social groups. * How does Wikipedia construct history and collective memory? * Does Wikipedia enable the forging of a collective memory via consensus?[9]<https://wikihistories.net/2023-conference/#ftnt9> * How are some versions of the past pushed to the fringes? * What gets remembered and what gets forgotten? * How can we study history-making on the platform? In this first annual workshop of the wikihistories project, we will take stock of what we know and what we still need to know about Wikipedia as a history-making platform. We do this because Wikipedia’s representation of history matters. Its facts travel through knowledge ecosystems and rest as answers to questions provided by digital assistants, search engines and other AI-enhanced tools. Wikipedia’s claims to neutrality are more a hope than a promise, a guise that hides the dreams and ideologies of the individuals and groups that understand its power and are determined to master its form. We invite Wikipedia scholars and researchers to participate in a two-day symposium being held online on the 8th and 9th of June. The symposium will be held for about 4 hours at different times each day to accommodate a range of global timezones. Please send an abstract of 250-300 words to michael.falk(a)uts.edu.au<mailto:michael.falk@uts.edu.au> before March 17 (close of day anywhere in the world) responding to any of the above questions. We expect a mixture of both analytical and methodological contributions for the event which will be held annually for the 3 years of the wikihistories project. Confirmed Speakers This year’s symposium will begin with a keynote by Dr Simon Sleight<https://www.kcl.ac.uk/people/simon-sleight>, Reader in Urban History, Historical Youth Cultures and Australian History at King’s College, London. Dr Sleight is the co-editor of “History, Memory and Public Life: The Past in the Present” and will provide a rich background to our investigations of collective memory from the history discipline for an interdisciplinary audience. ________________________________ [1]<https://wikihistories.net/2023-conference/#ftnt_ref1> Brian Keegan, “An Encyclopedia with Breaking News,” in Wikipedia@ 20: Stories of an Incomplete Revolution, ed. Joseph Reagle and Jackie Koerner (Cambridge, Mass: MIT Press, 2019), 55–70, https://doi.org/10.7551/mitpress/12366.003.0007. [2]<https://wikihistories.net/2023-conference/#ftnt_ref2> Heather Ford, Writing the Revolution: Wikipedia and the Survival of Facts in the Digital Age (Cambridge, Massachusetts: The MIT Press, 2022). [3]<https://wikihistories.net/2023-conference/#ftnt_ref3> Bunty Avieson, “Breaking News on Wikipedia: Collaborating, Collating and Competing,” First Monday, April 30, 2019, https://doi.org/10.5210/fm.v24i5.9530; Christian Pentzold, “Fixing the Floating Gap: The Online Encyclopaedia Wikipedia as a Global Memory Place,” Memory Studies 2, no. 2 (May 2009): 255–72, https://doi.org/10.1177/1750698008102055. [4]<https://wikihistories.net/2023-conference/#ftnt_ref4> Brian Keegan, Darren Gergle, and Noshir Contractor, “Hot off the Wiki: Dynamics, Practices, and Structures in Wikipedia’s Coverage of the Tōhoku Catastrophes,” in Proceedings of the 7th International Symposium on Wikis and Open Collaboration (WikiSym ’11: The 7th International Symposium on Wikis and Open Collaboration, Mountain View California: ACM, 2011), 105–13, https://doi.org/10.1145/2038558.2038577. [5]<https://wikihistories.net/2023-conference/#ftnt_ref5> “All the News That’s Fit to Print Out,” New York Times (Online) (New York: New York Times Company, July 1, 2007), 2223136739, ProQuest Central, http://ezproxy.lib.uts.edu.au/login?url=https://www.proquest.com/blogs-podc….<https://www.google.com/url?q=https://www.zotero.org/google-docs/?broken%3Dz…> [6]<https://wikihistories.net/2023-conference/#ftnt_ref6> Graham, Mark, Scott Hale, and Monica Stephens. “Geographies of the World’s Knowledge.” (2011). [7]<https://wikihistories.net/2023-conference/#ftnt_ref7> Brendan Luyt, “The Nature of Historical Representation on Wikipedia: Dominant or Alterative Historiography?,” Journal of the American Society for Information Science and Technology 62, no. 6 (2011): 1058–65, https://doi.org/10.1002/asi.21531; Bunty Avieson, “Two Wikipedias in Bhutan: Problems and Solutions for Knowledge Equity in the Digital Age,” Asian Journal of Communication 32, no. 5 (September 3, 2022): 399–416, https://doi.org/10.1080/01292986.2021.1937248. [8]<https://wikihistories.net/2023-conference/#ftnt_ref8> Paul Ricoeur, Memory, History, Forgetting, trans. Kathleen Blamey and David Pellauer (Chicago: University of Chicago Press, 2004), 85. [9]<https://wikihistories.net/2023-conference/#ftnt_ref9> Brendan Luyt, “Wikipedia, Collective Memory, and the Vietnam War,” Journal of the Association for Information Science and Technology 67, no. 8 (2016): 1956–61, https://doi.org/10.1002/asi.23518; Pentzold, “Fixing the Floating Gap”; Marlon Twyman, Brian C. Keegan, and Aaron Shaw, “Black Lives Matter in Wikipedia: Collaboration and Collective Memory around Online Social Movements,” in Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017, 1400–1412, https://doi.org/10.1145/2998181.2998232. --------------------------- Dr Heather Ford Associate Professor Head of Discipline Digital and Social Media<https://www.uts.edu.au/future-students/communication/digital-and-social-med…> | Acting Co-Director Centre for Research on Education in a Digital Society<https://www.uts.edu.au/research/centre-research-education-digital-society> (CREDS) | Data Science Institute<https://www.uts.edu.au/data-science-institute/> Associate Member | Center for Media in Transition<https://www.uts.edu.au/research/centre-media-transition> Research Associate | School of Communication<https://www.uts.edu.au/future-students/communication/about-communication/we…>, University of Technology, Sydney<https://www.uts.edu.au/> (UTS) w: hblog.org<http://hblog.org/> / t: @hfordsa<http://www.twitter.com/hfordsa> Latest writing: “Writing the Revolution: Wikipedia and the Survival of Facts in the Digital Age”<https://mitpress.mit.edu/9780262046299/writing-the-revolution/> MIT Press, out now “Why I spent 10 years studying one Wikipedia article<https://theconversation.com/friday-essay-shaping-history-why-i-spent-ten-ye…>” The Conversation, Friday Essay I acknowledge the Gadigal People of the Eora Nation and the Boorooberongal People of the Dharug Nation upon whose ancestral lands our campus now stands. I pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands that were never ceded. UTS CRICOS Provider Code: 00099F DISCLAIMER: This email message and any accompanying attachments may contain confidential information. If you are not the intended recipient, do not read, use, disseminate, distribute or copy this message or attachments. If you have received this message in error, please notify the sender immediately and delete this message. Any views expressed in this message are those of the individual sender, except where the sender expressly, and with authority, states them to be the views of the University of Technology Sydney. Before opening any attachments, please check them for viruses and defects. Think. Green. Do. Please consider the environment before printing this email.

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Call for Posters: Uncertain Reasoning Special Track at The 36th International FLAIRS Conference (UR@FLAIRS-36)
by Kai Sauerwald 21 Feb '23

21 Feb '23

*** Call for Posters *** ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Uncertain Reasoning (UR) Special Track at The 36th International FLAIRS Conference (FLAIRS-36) In cooperation with the American Association for Artificial Intelligence Clearwater Beach, Florida, USA May 14-17, 2023 Poster paper submission deadline: March 20, 2023 Notification: March 27, 2023 All accepted poster papers will be included in the FLAIRS proceedings published by Florida Online Journals ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Call For Poster Papers The Special Track on Uncertain Reasoning (UR) is the oldest track in FLAIRS conferences, running annually since 1996. The UR Special Track at the 36th International Florida Artificial Intelligence Research Society Conference (FLAIRS-36) is the 28th in the series. Like the past tracks, UR seeks to bring together researchers working on broad issues related to reasoning under uncertainty. Poster papers are a platform for students and researchers to present and discuss work in a early stage or work which provides an concise summary of a line of recent research. === Topics of Interest === Posters on all aspects of uncertain reasoning are invited. Topics of particular interest include, but are not limited to: *Uncertain reasoning formalisms, calculi and methodologies *Reasoning with probability, possibility, fuzzy logic, belief function, vagueness, granularity, rough sets, and probability logics *Modeling and reasoning using imprecise and indeterminate information, such as: Choquet capacities, comparative orderings, convex sets of measures, and interval-valued probabilities *Exact, approximate and qualitative uncertain reasoning *Probabilistic graphical models of uncertainty such as: Bayesian networks, Markov random field, probabilistic circuits *Multi-agent uncertain reasoning and decision-making *Decision-theoretic planning and Markov decision process *Temporal reasoning and uncertainty *Non-monotonic reasoning *Conditional Logics *Argumentation *Belief change and merging *Similarity-based reasoning *Ontologies and description logics *Construction of models from elicitation, data mining and knowledge discovery *Uncertain reasoning in information retrieval, filtering, fusion, diagnosis, prediction, situation assessment *Uncertain reasoning in data management *Practical applications of uncertain reasoning *Learning probabilistic models *Applications in computer vision and animation === Poster Paper Submission and Publication === Interested authors should format their poster paper according to FLAIRS-36 conference formatting guidelines. Poster papers should not exceed 2 pages (+ references) and are due by March 20, 2023. The reviewing is a double-blind process. Author names and affiliations must be omitted from submitted poster paper. Poster papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference website (http://www.flairs-36.info/). Authors should indicate the Uncertain Reasoning special track for submissions. All accepted poster papers will be included in the proceedings of FLAIRS, which will be published by the Florida Online Journals. The authors shall prepare a poster to present the content of their poster paper in a poster session. In order for a poster paper to be published in the proceedings, all accepted poster papers must be accompanied by at least one author registration. Instructions on the submission procedure are available at the UR website: http://ur-flairs.github.io/2023 We anticipate there will be a special issue devoted to extended versions of selected submissions at the track. === Important Dates for Poster Papers === Submission: March 20, 2023 Notification: March 27, 2023 === Program Committee === [ Track Chairs ] Kai Sauerwald FernUniversität in Hagen, Germany Choh Man Teng Institute for Human and Machine Cognition, USA [ PC Members ] Mohand Said Allili (Université du Québec en Outaouais, Canada) Alessandro Antonucci (IDSIA, Switzerland) Ofer Arieli (The Academic College of Tel-Aviv, Israel) Christoph Beierle (FernUniversität in Hagen, Germany) Salem Benferhat (University of Artois, France) Stefano Bistarelli (University of Perugia, Italy) Nizar Bouguila (Concordia University, Canada) Martine Ceberio (University of Texas at El Paso, US) Lluís Godo (University of Barcelona, Spain) Christophe Gonzales (LIS, France) Gabriele Kern-Isberner (University of Technology Dortmund, Germany) Vladik Kreinovich (University of Texas at El Paso, US) Philippe Leray (University of Nantes, France) Nicholas Mattei (Tulane University, US) Ralf Möller (University of Lübeck, Germany) Arthur Paul Pedersen (The City College of New York, US) Rafael Peñaloza Nyssen (University of Milano-Bicocca, Italy) Eugene Santos (Dartmouth College, US) Dilip Sarkar (University of Miami, US) Kari Sentz (Los Alamos National Laboratory, US) Karima Sedki (University of Paris 13, France) Karim Tabia (University of Artois, France) Carlo Taticchi (University of Perugia, Italy) === Travel Information === Additional information on the conference locale and travel planning can be found at http://www.flairs-36.info.

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2nd Call for Papers, Conference on Intelligent Computer Mathematics (CICM 2023)
by serge.autexier＠dfki.de 19 Feb '23

19 Feb '23

Second Call for Papers formal papers - doctoral programme 16th Conference on Intelligent Computer Mathematics - CICM 2023 - 4��8 September 2023 Emmanuel College, Cambridge, UK (hybrid event) http://www.cicm-conference.org/2023 ---------------------------------------------------------------------- Digital and computational solutions are becoming the prevalent means for the generation, communication, processing, storage and curation of mathematical information. CICM brings together the many separate communities that have developed theoretical and practical solutions for mathematical applications such as computation, deduction, knowledge management, and user interfaces. It offers a venue for discussing problems and solutions in each of these areas and their integration. *** CICM 2023 Invited Speakers *** - Mateja Jamnik: TBA - Lawrence C. Paulson: Large-Scale Formal Proof for the Working Mathematician - Lessons learnt from the Alexandria Project - Martina Seidl: Never trust your solver: Certificates for SAT and QBF *** CICM 2023 Programme committee *** - Jes��s Aransay (Universidad de La Rioja, Spain) - Mauricio Ayala-Rincon (Universidade de Brasil��a, Brazil) - Haniel Barbosa (Universidade Federal de Minas Gerais, Brazil) - Jasmin Blanchette (Vrije Universiteit Amsterdam, The Netherlands) - Kevin Buzzard (Imperial College, UK) - Isabela Dr��mnesc (West University of Timi��oara, Romania) - Catherine Dubois (ENSIIE, Evry-Courcouronnes, France) [Co-Chair] - M��d��lina Era��cu (West University of Timi��oara, Romania) - William Farmer (McMaster University, Canada) - John Harrison (Amazon Web Services) - Tetsuo Ida (University of Tsukuba, Japan) - Moa Johansson (Chalmers University of Technology, Sweden) - Fairouz Kamareddine (Heriot-Watt University, UK) - Daniela Kaufmann (TU Wien, Austria) - Manfred Kerber (University of Birmingham, UK) [Co-Chair] - Peter Koepke (University of Bonn, Germany) - Michael Kohlhase (FAU Erlangen-N��rnberg, Germany) - Angeliki Koutsoukou-Argyraki (University of Cambridge, UK) - Temur Kutsia (RISC, Johannes Kepler University Linz, Austria) - Micaela Mayero (Institut Galil��e, Universit�� Paris Nord, France) - Bruce R. Miller (NIST, USA) - Adam Naumowicz (University of Bia��ystok, Poland) - Claudio Sacerdoti-Cohen (University of Bologna, Italy) - Sofi��ne Tahar (Concordia University, Canada) - Olaf Teschke (FIZ Karlsruhe, Germany) - Josef Urban (Czech Technical University, Czech Republic) - Stephen M. Watt (University of Waterloo, Canada) - Freek Wiedijk (Radboud University, The Netherlands) - Wolfgang Windsteiger (RISC, Johannes Kepler University Linz, Austria) - Abdou Youssef (The George Washington University, USA) *** SUBMISSIONS *** CICM 2023 invites submissions in all topics relating to intelligent computer mathematics, in particular but not limited to - theorem proving and computer algebra - mathematical knowledge management - digital mathematical libraries CICM appreciates the varying nature of the relevant research in this area and invites submissions of different forms. Formal submissions will be reviewed rigorously and accepted papers will be published in a formal way: - regular papers (up to 15 pages including references) present novel research results - project and survey papers (up to 15 pages + bibliography) summarize existing results - system and dataset descriptions (up to 5 pages including references) present digital artifacts - system entry (1 page according to the given LaTeX template) provides metadata and a quick overview of a new tool or a new release of an existing tool Participants of CICM benefit a lot from the exchange with colleagues. In order to foster this we will provide at the conference an opportunity to make informal presentations (using posters or laptops) of work-in-progress, project announcements, position statements, and system demonstrations. Authors of system and dataset descriptions and system entries are strongly encouraged to take up this opportunity and give interested colleagues an in depth impression of their work. *** Doctoral Programme *** PhD students are invited to participate in the doctoral programme, which provides them with a forum to present early results and receive constructive feedback and mentoring. To attend, submit a two-page abstract of the thesis describing the research questions, research plans, completed and remaining research, evaluation plans and publication plans; a two-page CV that includes background information (name, university, supervisor), education (degree sought, year/status of degree, previous degrees), employments, relevant research experience (publications, presentations, attended conferences or workshops, etc). *** Participation / Hybrid Event *** CICM 2023 will be held as an hybrid event, participation is possible online or on-site. Authors of accepted papers can choose to present online or on-site, but at least one author needs to register for the conference. *** Important Dates *** - Abstract deadline: 27 March 2023 - Full paper deadline: 3 April 2023 - Reviews sent to authors: 2 May 2023 - Rebuttals due: 6 May 2023 - Notification of acceptance: 13 May 2023 - Camera-ready copies due: 5 June 2023 - Conference: 4��8 September 2023 Submissions to the doctoral programme - Submission deadline: 30 June 2023 - Notification of acceptance: 14 July 2023 All submissions should be made via EasyChair at https://easychair.org/conferences/?conf=cicm2023 CICM 2023 will have proceedings in form of a volume in the Springer LNAI series, using the LNCS style. For the LNCS style files, see: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…

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[Announcement] A new formal collaboration in Research
by Martin Gerlach 15 Feb '23

15 Feb '23

Hi all, The Research team at the Wikimedia Foundation has officially started a new Formal Collaboration [1] with Indira Sen, Katrin Weller, and Mareike Wieland from GESIS – Leibniz Institute for the Social Sciences to work collaboratively on understanding perception of readability in Wikipedia [2] as part of the Addressing Knowledge Gaps Program [3]. We are thankful to them for agreeing to spend their time and expertise on this project in the coming year. Here are a few pieces of information about this collaboration that we would like to share with you: * We aim to keep the research documentation for this project in the corresponding research page on meta [2]. * Research tasks are hard to break down and track in task-tracking systems. This being said, the page on meta is linked to an Epic level Phabricator task and all tasks related to this project that can be captured on Phabricator will be captured under here [4]. * I act as the point of contact for this research in the Wikimedia Foundation. Please feel free to reach out to me (directly, if it cannot be shared publicly) if you have comments or questions about the project. Best, Martin [1] https://www.mediawiki.org/wiki/Wikimedia_Research/Formal_collaborations [2] https://meta.wikimedia.org/wiki/Research:Understanding_perception_of_readab… [3] https://research.wikimedia.org/knowledge-gaps.html [4] https://phabricator.wikimedia.org/T325815 -- Martin Gerlach (he/him) | Senior Research Scientist | Wikimedia Foundation

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[Wikimedia Research Showcase] February 15 at 9:30AM PT, 17:30 UTC
by Emily Lescak 15 Feb '23

15 Feb '23

Hello everyone, The next Research Showcase will be livestreamed next Wednesday, February 15 at 9:30AM PT / 17:30 UTC. The theme is The Free Knowledge Ecosystem. YouTube stream: https://www.youtube.com/watch?v=8VJmR-3lTac We welcome you to join the conversation on IRC at #wikimedia-research. You can also watch our past research showcases: https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase This month's presentations: The evolution of humanitarian mapping in OpenStreetMap (OSM) and how it affects map completeness and inequalities in OSMBy *Benjamin Herfort, Heidelberg Institute for Geoinformation Technology*Mapping efforts of communities in OpenStreetMap (OSM) over the previous decade have created a unique global geographic database, which is accessible to all with no licensing costs. The collaborative maps of OSM have been used to support humanitarian efforts around the world as well as to fill important data gaps for implementing major development frameworks such as the Sustainable Development Goals (SDGs). Besides the well-examined Global North - Global South bias in OSM, the OSM data as of 2023 shows a much more spatially diverse spread pattern than previously considered, which was shaped by regional, socio-economic and demographic factors across several scales. Humanitarian mapping efforts of the previous decade have already made OSM more inclusive, contributing to diversify and expand the spatial footprint of the areas mapped. However, methods to quantify and account for the remaining biases in OSM’s coverage are needed so that researchers and practitioners will be able to draw the right conclusions, e .g. about progress towards the SDGs in cities. Dataset reuseː Toward translating principles to practiceBy *Laura Koesten, University of Vienna*The web provides access to millions of datasets. These data can have additional impact when used beyond the context for which they were originally created. But using a dataset beyond the context in which it originated remains challenging. Simply making data available does not mean it will be or can be easily used by others. At the same time, we have little empirical insight into what makes a dataset reusable and which of the existing guidelines and frameworks have an impact.In this talk, I will discuss our research on what makes data reusable in practice. This is informed by a synthesis of literature on the topic, our studies on how people evaluate and make sense of data, and a case study on datasets on GitHub. In the case study, we describe a corpus of more than 1.4 million data files from over 65,000 repositories. Building on reuse features from the literature, we use GitHub’s engagement metrics as proxies for dataset reuse and devise an initial model, using deep neural networks, to predict a dataset’s reusability. This demonstrates the practical gap between principles and actionable insights that might allow data publishers and tool designers to implement functionalities that facilitate reuse. We hope you can join us! Warm regards, Emily -- Emily Lescak (she / her) Senior Research Community Officer The Wikimedia Foundation

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