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Optional Office Hours survey
by Emily Lescak 03 Mar '22

03 Mar '22

Hello, The Research team [0] at the Wikimedia Foundation hosts monthly Office Hours [1] as a way to connect with researchers, answer questions, and share updates. To improve the impact and accessibility of our sessions, we invite you to share your feedback in a brief optional survey [2]. We estimate that it will take about 5-10 minutes to complete. We welcome your input even if you have not attended Office Hours. If you prefer to not respond via Google form, you can provide your feedback via email. We will accept responses until April 15, 2022. Thank you for your time and consideration. Emily, on behalf of the Research team [0] https://research.wikimedia.org/ [1] https://www.mediawiki.org/wiki/Wikimedia_Research/Office_hours [2] https://forms.gle/Y5zJ7gunk4RvqvJX8 -- Emily Lescak (she / her) Senior Research Community Officer The Wikimedia Foundation

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Invitation to Wikimedia Research Office Hours March 1, 2022
by Emily Lescak 24 Feb '22

24 Feb '22

Hi all, Join the Research Team at the Wikimedia Foundation [1] for their monthly Office hours this Tuesday, 2022-03-01, at 12:00-13:00 UTC (4:00 PT / 7:00 ET / 13:00 CET). Find your local time here <https://zonestamp.toolforge.org/1646136000>. To participate, join the video-call via this link [2]. There is no set agenda - feel free to add your item to the list of topics in the etherpad [3]. You are welcome to add questions / items to the etherpad in advance, or when you arrive at the session. Even if you are unable to attend the session, you can leave a question that we can address asynchronously. If you do not have a specific agenda item, you are welcome to hang out and enjoy the conversation. More detailed information (e.g. about how to attend) can be found here [4]. Through these office hours, we aim to make ourselves more available to answer research related questions that you as Wikimedia volunteer editors, organizers, affiliates, staff, and researchers face in your projects and initiatives. Here are some example cases we hope to be able to support you with: - You have a specific research related question that you suspect you should be able to answer with the publicly available data and you don’t know how to find an answer for it, or you just need some more help with it. For example, how can I compute the ratio of anonymous to registered editors in my wiki? - You run into repetitive or very manual work as part of your Wikimedia contributions and you wish to find out if there are ways to use machines to improve your workflows. These types of conversations can sometimes be harder to find an answer for during an office hour. However, discussing them can help us understand your challenges better and we may find ways to work with each other to support you in addressing it in the future. - You want to learn what the Research team at the Wikimedia Foundation does and how we can potentially support you. Specifically for affiliates: if you are interested in building relationships with the academic institutions in your country, we would love to talk with you and learn more. We have a series of programs that aim to expand the network of Wikimedia researchers globally and we would love to collaborate with those of you interested more closely in this space. - You want to talk with us about one of our existing programs [5]. Hope to see many of you, Emily on behalf of the WMF Research Team [1] https://research.wikimedia.org [2] https://meet.jit.si/WMF-Research-Office-Hours [3] https://etherpad.wikimedia.org/p/Research-Analytics-Office-hours [4] https://www.mediawiki.org/wiki/Wikimedia_Research/Office_hours [5] https://research.wikimedia.org/projects.html -- Emily Lescak (she / her) Senior Research Community Officer The Wikimedia Foundation

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3rd CfP: SEMANTiCS 2022 EU || Sep 12 - 15, 2022 || Vienna, Austria
by Tassilo Pellegrini 22 Feb '22

22 Feb '22

==== 18th International Conference on Semantic Systems Vienna, Austria September 12 - 15, 2022 https://2022-eu.semantics.cc/ ==== The Research and Innovation track at SEMANTiCS 2022 EU welcomes papers on novel scientific research and/or innovations relevant to the topics of the conference. Submissions must be original and must not have been submitted for publication elsewhere. Papers must follow the guidelines given in the author instructions, including references and optional appendices. Each submission will be reviewed by several PC members who will judge it based on its innovativeness, technical merits, and effectiveness at solving real problems. Proceedings of SEMANTiCS 2022 EU will be made available open access and planned to be published with IOS Press. = Topics of Interest = * Topics of interest include, but are not limited to: * Web Semantics & Linked (Open) Data * Enterprise Knowledge Graphs, Graph Data Management, and Deep Semantics * Machine Learning & Deep Learning Techniques * Semantic Information Management & Knowledge Integration * Terminology, Thesaurus & Ontology Management * Data Mining and Knowledge Discovery * IoT and Stream Processing * Reasoning, Rules, and Policies * Natural Language Processing * Data Quality Management and Assurance * Explainable Artificial Intelligence * Semantics in Data Science * Semantics in Blockchain environments * Trust, Data Privacy, and Security with Semantic Technologies * Economics of Data, Data Services, and Data Ecosystems ------- * Special Sub-Topic: Digital Humanities and Cultural Heritage * Special Sub-Topic: LegalTech * Special Sub-Topic: Distributed and Decentralized Knowledge Graphs = Important Dates = * Abstract Submission Deadline: May 09, 2022 (11:59 pm, Hawaii time) * Paper Submission Deadline: May 16, 2022 (11:59 pm, Hawaii time) * Notification of Acceptance: June 20, 2022 (11:59 pm, Hawaii time) * Camera-Ready Paper: July 04, 2022 (11:59 pm, Hawaii time) Submission via Easychair on https://easychair.org/my/conference?conf=sem22# = Author Guidelines and Submission = * The Research and Innovation Track welcomes long and short papers. Long papers should have a maximum length of 15 pages (including references) and short papers of 6 pages (including references). * Submissions should follow the guidelines of IOS Press. Details are available here: https://www.iospress.com/book-article-instructions * Abstract submission for all papers is a strict requirement. * All papers and abstracts have to be submitted electronically via Easychair: https://easychair.org/my/conference?conf=sem22# * Submissions must be in English. * Submissions are not anonymous. * Accepted papers will be published in open access proceedings by IOS Press. * At least one author of each accepted paper must register for the conference and present the paper. * The Research and Innovation Track will not accept papers that, at the time of submission, are under review or have already been published in or accepted for publication in a journal or another conference. = Review and Evaluation Criteria = Each submission will be reviewed by several PC members. The reviewing process is single-blind. Papers submitted to this track will be evaluated according to the following criteria: * Appropriateness * Originality, novelty, and innovativeness * Impact of results * Soundness of the evaluation * Proper comparison to related work * Clarity and quality of writing * Reproducibility of results and resources Check out additional submission opportunities at Semantics conference: https://2022-eu.semantics.cc/cfp We are looking forward to your contribution!

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JOB OFFER: PhD Student Position
by MPIDR - Career 18 Feb '22

18 Feb '22

++++ apologies for cross-postings ++++ The Max Planck Institute for Demographic Research (MPIDR) is inviting applications from qualified and highly motivated students for a PhD student position in the Lab of Digital and Computational Demography<https://www.demogr.mpg.de/en/research_6120/digital_and_computational_demogr…>. The MPIDR is one of the leading demographic centers in the world. It is part of the Max Planck Society, a network of more than 80 institutes that form Germany’s premier basic-research organization. Max Planck Institutes have an established record of world-class research and they offer a unique environment that combines the best aspects of an academic setting and a research laboratory. The Lab of Digital and Computational Demography, headed by MPIDR Director Emilio Zagheni, is looking for candidates with strong quantitative and programming skills and with research interests in inequalities in mortality. Short Description of the PhD Project Disparities in mortality by educational levels are one of the most pressing issues of modern societies, and may have been exacerbated by the COVID-19 pandemic. The successful candidate is expected to contribute and advance a project that analyzes recent developments in inequalities in mortality by education across space and time, with both a period and a cohort perspective. Particular attention would be devoted to the definition of educational groups, and to complementing standard educational-attainment measures with new approaches that account for compositional changes. Supervisory Team This project will be supervised by a team of renowned demographers that includes Ugofilippo Basellini (MPIDR), Emilio Zagheni (MPIDR), Fanny Janssen (Netherlands Interdisciplinary Demographic Institute (NIDI) & University of Groningen), and Carlo Giovanni Camarda (Institut national d'études démographiques - INED). The PhD student is expected to be in residence at the MPIDR and enrolled at the graduate school of the Faculty of Spatial Sciences at the University of Groningen. Additionally, the PhD student will have the opportunity of doing research visits at INED and at NIDI. For questions and additional information regarding the PhD project, please contact Ugofilippo Basellini (basellini(a)demogr.mpg.de<mailto:basellini@demogr.mpg.de>). The PhD studentship offers an excellent opportunity for motivated students to work with a highly international team of researchers, to take advantage of the interdisciplinary intellectual environment at the MPIDR, as well as substantial support for travel, research training and data acquisition. The admitted student is expected to be part of the International Max Planck Research School for Population, Health and Data Science (IMPRS-PHDS) that merges demography, epidemiology and data science. IMPRS-PHDS equips doctoral students not only with advanced knowledge of the theory and methods of demography and epidemiology (broadly defined as ‘population health’), but also with strong technical skills in statistics, mathematical modeling, and computational and data management methods (broadly referred to as ‘data science’). PHDS supports strong interdisciplinary research training and exchange within a network of universities in Europe and the US. The research school offers a core training program in Rostock, extensive networking opportunities across partner sites, and high-quality supervision across at least two institutes. For more information on the IMPRS-PHDS curriculum please see www.imprs-phds.mpg.de<http://www.imprs-phds.mpg.de/>. How to Apply Applications must be submitted online<https://survey.demogr.mpg.de/index.php/693149?lang=en> by March 20, 2022 and include as a single pdf file, in English: 1. Curriculum Vitae, including a list of your scholarly publications. 2. A motivational statement (maximum two pages) explaining why you applied, how your research interests fit with the project; how the MPIDR could foster your career development; and describing your technical skills and areas of expertise. 3. Copies of transcripts of undergraduate and master’s degrees. Applicants should hold a master’s degree or equivalent at the time of starting the PhD. 4. Names and contact information for 2 academic references. 5. One writing sample. The starting date is flexible, but no later than November 1, 2022. The PhD student is offered a 3-year contract with remuneration based on the salary structure of the German public sector (Öffentlicher Dienst, TVöD Bund) currently starting at 34,295.22 € gross a year. Online interviews will be held between April 11 and April 14, 2022. The MPIDR is an equal opportunities employer. Our work atmosphere includes respectful treatment of each other, with gender, nationality, religion, disability, age, cultural origin, and sexual identity playing no role. We aim to have an institutional culture that enables everyone to develop their individual skills and competencies. The Max Planck Society offers a broad range of measures to support the reconciliation of work and family. These are complemented by the MPIDR’s own initiatives. The Society has been awarded the certificate “Work and Family” which is granted to institutions committed to establishing a family-friendly corporate culture by binding target agreements. The MPIDR collaborates with a network of local day-care centers that provides childcare places for the children of Institute staff. The Max Planck Society has contracts with a private family service company that offers services such as arranging child care on short notice in various cities in Germany for parents who attend conferences, care services for children of school age up to 14 years, and support for those caring for family members and relatives. The MPIDR also practices flexible working-time models, which include at least one home office day per week, and scheduling meetings only within core working hours. To help accompanying spouses and partners find appropriate work at their new location, the MPIDR works in close cooperation with Dual-Career Partners in regional networks. Our Institute values diversity and is keen to employ individuals from minorities. The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. Furthermore, the Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply. -- This mail has been sent through the MPI for Demographic Research. Should you receive a mail that is apparently from a MPI user without this text displayed, then the address has most likely been faked. If you are uncertain about the validity of this message, please check the mail header or ask your system administrator for assistance.

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Feb 22 - Building a Community-Focused Laboratory
by J. Nathan Matias 15 Feb '22

15 Feb '22

Hi Wikimedia Research list! Here at CAT Lab <http://citizensandtech.org/> we’ve been speaking with like-minded folks who build community-focused labs, and Dr Max Liboiron <https://maxliboiron.com>, of CLEAR <https://civiclaboratory.nl/>, has agreed to give an open talk about their work so others interested in building a community-focused lab can get a glimpse of how they did it. I found their writing on how they built it super compelling <https://civiclaboratory.nl/2021/12/30/starting-clear-maintaining-clear/>. This talk will be of special interest to anyone who is starting a new research lab or thinking about how to adapt your practices to collaborate with communities. If you’d like to come, or if you know someone who might be interested, please feel free to share the invite below (we’re not doing social media on this, but peer-to-peer is great). https://events.cornell.edu/event/building_a_community-focused_laboratory_a_… -- J. Nathan Matias <http://natematias.com/> : Cornell University : Citizens and Technology Lab <https://citizensandtech.org> : @natematias <http://twitter.com/natematias> : blog <https://natematias.com/external-posts/> : daylight time photos <https://twitter.com/natematias/status/1432865329076637697>

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[Wikimedia Research Showcase] February 16 at 9:30 PT, 17:30 UTC
by Emily Lescak 10 Feb '22

10 Feb '22

Hi all, The next Research Showcase will be live-streamed next Wednesday, February 16, at 9:30 PT/17:30 UTC. The theme is: Collective Attention in Wikipedia. YouTube stream: https://www.youtube.com/watch?v=bg2aE2m08Qo As usual, you can join the conversation on IRC at #wikimedia-research. You can also watch our past research showcases here: https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase The Showcase will feature the following talks: Modeling Collective Anticipation and Response on WikipediaBy *Renaud Lambiotte <https://www.maths.ox.ac.uk/people/renaud.lambiotte> (University of Oxford)*The dynamics of popularity in online media are driven by a combination of endogenous spreading mechanisms and response to exogenous shocks including news and events. However, little is known about the dependence of temporal patterns of popularity on event-related information, e.g. which types of events trigger long-lasting activity. Here we propose a simple model that describes the dynamics around peaks of popularity by incorporating key features, i.e., the anticipatory growth and the decay of collective attention together with circadian rhythms. The proposed model allows us to develop a new method for predicting the future page view activity and for clustering time series. To validate our methodology, we collect a corpus of page view data from Wikipedia associated to a range of planned events, that are events which we know in advance will have a fixed date in the future, such as elections and sport events. Our methodology is superior to existing models in both prediction and clustering tasks. Furthermore, restricting to Wikipedia pages associated to association football, we observe that the specific realization of the event, in our case which team wins a match or the type of the match, has a significant effect on the response dynamics after the event. Our work demonstrates the importance of appropriately modeling all phases of collective attention, as well as the connection between temporal patterns of attention and characteristic underlying information of the events they represent. Sudden Attention Shifts on Wikipedia During the COVID-19 CrisisBy *Kristina Gligorić <https://kristinagligoric.github.io/> (EPFL)*We study how the COVID-19 pandemic, alongside the severe mobility restrictions that ensued, has impacted information access on Wikipedia, the world’s largest online encyclopedia. A longitudinal analysis that combines pageview statistics for 12 Wikipedia language editions with mobility reports published by Apple and Google reveals massive shifts in the volume and nature of information seeking patterns during the pandemic. Interestingly, while we observe a transient increase in Wikipedia’s pageview volume following mobility restrictions, the nature of information sought was impacted more permanently. These changes are most pronounced for language editions associated with countries where the most severe mobility restrictions were implemented. We also find that articles belonging to different topics behaved differently; e.g., attention towards entertainment-related topics is lingering and even increasing, while the interest in health- and biology-related topics was either small or transient. Our results highlight the utility of Wikipedia for studying how the pandemic is affecting people’s needs, interests, and concerns. -- Emily Lescak (she / her) Senior Research Community Officer The Wikimedia Foundation

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What's your favorite text about general research frameworks?
by Andrew Green 10 Feb '22

10 Feb '22

Hi all, I hope this is the right place to ask this question! I was wondering if folks who are doing (or are interested in) research about Wikipedia might like to share texts that they feel best describe the general research frameworks they use (or might like to use). I'd love to hear about any texts you like, regardless of format (textbook, paper, general reference, blog post, etc.). It seems a lot of work about Wikipedia uses approaches from Computational Social Science. The main references I have for that are [1] and [2]. I'm especially interested in links between Computational Social Science and frameworks from more traditional social sciences and cognitive science. Many thanks in advance!!!!! :) Cheers, Andrew [1] Cioffi-Revilla, C. (2017) /Introduction to Computational Social Science. Principles and Applications. Second Edition./ Cham, Switzerland: Springer. [2] Melnik, R. (ed.) (2015)/Mathematical and Computational Modeling. With Applications in Natural and Social Sciences, Engineering, and the Arts/. Hoboken, U.S.A.: Wiley. -- Andrew Green (he/him)

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Old dump for historical research on Wikipedia in Portuguese
by joalpe＠gmail.com 08 Feb '22

08 Feb '22

Hi there. I am writing to see if someone could advise on a strategy to build a list of editors on Wikipedia in Portuguese from 2001 to 2006. I am working on a piece to understand how the Wikimedia community came to be in the Portuguese-speaking world and therefore want to explore incentives for contributions before a stronger sense of community and shared identity existed. This research is led by Flávia Varella (Theory of History Wiki initiative, Federal University of Santa Catarina) and myself (Wiki Movimento Brasil, Cásper Líbero School of Journalism). Ideally, we would like to rank the list of editors based on their edit numbers. If possible, we would gather other variables to have a sense of contributions back then, i.e., bytes added on main space, talk pages etc. But this appears not to be so easy. One strategy that was suggested to me was to look at the ptwiki dump. But the dump is huge and would require major computational capacity to identify the period we are interested in. One way out would be to find a place with a dump from 2006: is this something that exists? Who might have access to older dumps? What other way(s) might exist to find the data I am looking for? I appreciate any help! Cheers, João (User:Joalpe)

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[Announcement] A new formal collaboration in Research
by Martin Gerlach 08 Feb '22

08 Feb '22

Hi all, The Research team at the Wikimedia Foundation has officially started a new Formal Collaboration [1] with researchers from University of Pennsylvania and American University to work collaboratively on Understanding Curious and Critical Readers [2] as part of the Knowledge Integrity Program [3]. 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 there.[3] * The following formal collaborators (cc-ed) will contribute to this program: Dani S. Bassett, David Lydon-Staley, Shubhankar Patankar, Dale Zhou (all University of Pennsylvania), and Perry Zurn (American University). We are thankful to them for agreeing to spend their time and expertise on this project in the coming year, and to those of you who have already worked with us as we were shaping the proposal for this project and are planning to continue your contributions to this program. * 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_Curious_and_Critical… [3] https://research.wikimedia.org/knowledge-integrity.html -- Martin Gerlach (he/him) Research Scientist Wikimedia Foundation https://research.wikimedia.org

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Updated data in the wiki comparison tool
by Neil Shah-Quinn 07 Feb '22

07 Feb '22

Hi everyone! The wiki comparison tool [1] is a quick reference for the teeming ecosystem of Wikimedia wikis maintained by the Product Analytics team [2] at the Wikimedia Foundation. The tool has just been updated with more recent data (covering Jan–Dec 2021), as well as bugfixes, documentation improvements, and a new monthly pageviews field. If you have questions, be sure to consult the documentation in the "introduction", "change log", and "metric definitions" tabs. If you don't find an answer or have feedback, please get in touch! You can reach us at product-analytics(a)wikimedia.org. [1] https://docs.google.com/spreadsheets/d/1a-UBqsYtJl6gpauJyanx0nyxuPqRvhzJRN8… [2] https://www.mediawiki.org/wiki/Product_Analytics -- Neil Shah-Quinn senior data scientist, Product Analytics <https://www.mediawiki.org/wiki/Product_Analytics> Wikimedia Foundation <https://wikimediafoundation.org/>

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