Dear all,
Over the last few months, a small team at the Wikimedia Foundation has been
working on a project that has been discussed by many people in our movement
for many years: building ‘enterprise grade’ services for the high-volume
commercial reusers of Wikimedia content. I am pleased to say that in a
remarkably short amount of time (considering the complexity of the issues:
technical, strategic, legal, and financial) we now have something worthy of
showing to the community, and we are asking for your feedback. Allow me to
introduce you to the Wikimedia Enterprise API project – formerly codenamed
“okapi”.
While the general idea for Wikimedia Enterprise predates the current
movement strategy process, its recommendations identify an enterprise API
as one possible solution to both “Increase the sustainability of our
movement” and “Improve User Experience.”[0] That is, to simultaneously
create a new revenue stream to protect Wikimedia’s sustainability, and
improve the quality and quantity of Wikimedia content available to our many
readers who do not visit our websites directly (including more consistent
attribution). Moreover, it does so in a way that is true to our movement’s
culture: with open source software, financial transparency, non-exclusive
contracts or content, no restrictions on existing services, and free access
for Wikimedia volunteers who need it.
The team believes we are on target to achieve those goals and so we have
written a lot of documentation to get your feedback about our progress and
where it could be further improved before the actual product is ‘launched’
in the next few months. We have been helped in this process over the last
several months by approximately 100 individual volunteers (from many
corners of the wikiverse) and representatives of affiliate organisations
who have reviewed our plans and provided invaluable direction, pointing out
weaknesses and opportunities, or areas lacking clarity and documentation in
our drafts. Thank you to everyone who has shared your time and expertise to
help prepare this new initiative.
A essay describing the “why?” and the “how?” of this project is now on
Meta:
https://meta.wikimedia.org/wiki/Wikimedia_Enterprise/Essay
Also now published on Meta are an extensive FAQ, operating principles, and
technical documentation on MediaWiki.org. You can read these at [1] [2] and
[3] respectively. Much of this documentation is already available in
French, German, Italian, and Spanish.
The Wikimedia Enterprise team is particularly interested in your feedback
on how we have designed the checks and balances to this project - to ensure
it is as successful as possible at achieving those two goals described
above while staying true to the movement’s values and culture. For example:
Is everything covered appropriately in the “Principles” list? Is the
technical documentation on MediaWiki.org clear? Are the explanations in the
“FAQ” about free-access for community, or project’s legal structure, or the
financial transparency (etc.) sufficiently detailed?
Meet the team and Ask Us Anything:
The central place to provide written feedback about the project in general
is on the talkpage of the documentation on Meta at:
https://meta.wikimedia.org/wiki/Talk:Wikimedia_Enterprise
On this Friday (March 19) we will be hosting two “Office hours”
conversations where anyone can come and give feedback or ask questions:
-
13:00 UTC via Zoom at https://wikimedia.zoom.us/j/95580273732
-
22:00 UTC via Zoom at https://wikimedia.zoom.us/j/92565175760 (note:
this is Saturday in Asia/Oceania)
Other “office hours” meetings can be arranged on-request on a technical
platform of your choosing; and we will organise more calls in the future.
We will also be attending the next SWAN meetings (on March 21)
https://meta.wikimedia.org/wiki/Strategic_Wikimedia_Affiliates_Network, and
also the next of the Wikimedia Clinics
https://meta.wikimedia.org/wiki/Wikimedia_Clinics
Moreover, we would be very happy to accept any invitation to attend an
existing group call that would like to discuss this topic (e.g. an
affiliate’s members’ meeting).
On behalf of the Wikimedia Enterprise team,
Peace, Love & Metadata
-- Liam Wyatt [Wittylama], Wikimedia Enterprise project community liaison.
[0]
https://meta.wikimedia.org/wiki/Strategy/Wikimedia_movement/2018-20/Recomme…
[1] https://meta.wikimedia.org/wiki/Wikimedia_Enterprise/FAQ
[2] https://meta.wikimedia.org/wiki/Wikimedia_Enterprise/Principles
[3] https://www.mediawiki.org/wiki/Wikimedia_Enterprise
*Liam Wyatt [Wittylama]*
WikiCite <https://meta.wikimedia.org/wiki/WikiCite> Program Manager & Wikimedia
Enterprise <https://meta.wikimedia.org/wiki/Okapi> Community Liaison
Wikimedia Foundation
On behalf of Wikimedia Taiwan, we would like to say that this is long overdue. For more than half a decade, good faith volunteers from Hong Kong, the Chinese mainland, and Taiwan have raised concerns about dangerous members of that organization, including in the Signpost(1) (repeatedly(2)). It is not the kind of threat that communities or even larger ones, like our wiki, can deal with entirely on their own. We have been having very exhausting years.
Now there is some hope. But we have a lot of work ahead of us as a volunteer community, and we call upon the Foundation to meet its commitment of support as we do. We need to rebuild an inclusive wiki that welcomes everyone from all places who wants to contribute to Chinese language Wikipedia in good faith. Many people have felt very unsafe for years, so restoring a shared sense of comfort will likely take a long time. Doing this work is very important to get back to focusing on knowledge and Wikipedia’s five pillars that should unite our community.
Yuan Chang, Chairman of Wikimedia Taiwan
(1) https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2019-10-31/In_fo…
(2) https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2021-07-25/Speci…
中文版本:
在此僅代表台灣維基媒體協會聲明，這個行動是遲來的努力。多年來，香港、中國大陸和台灣的用戶一再呼籲對該組織中的危險成員與行為的關切，包括但不僅止於之前於Signpost報導(1) (另一則報導(2))中所提及。這不是社群，或甚至整個中文維基，可以自行處理的威脅。這些年我們心力交瘁。
現在的處置，讓我們覺得終於有了一些希望。但作為志願者組織，我們仍有很多工作要做，並希望基金會能大力支持。我們需要重建一個具有包容性的維基百科，歡迎來自所有地區，願意真誠貢獻中文知識的參與者。這幾年來，許多參與者感到不安，要恢復原本平和的氛圍，需要相當長時間的努力。這個工作非常重要，有助於我們把心力集中在知識，以及團結我們社群的維基百科的五大支柱上。
台灣維基媒體協會理事長 張遠
(1) https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2019-10-31/In_fo…
(2) https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2021-07-25/Speci…
Original Link of the statement: https://meta.wikimedia.org/wiki/Wikimedia_Taiwan/Declaration/Wikimedia_Taiw…
Dear All,
Please join me in welcoming Luis Bitencourt-Emilio to the Wikimedia
Foundation Board of Trustees. Luis was unanimously appointed to a 3-year
term and replaces a board-selected Trustee, Lisa Lewin, whose term ended in
November 2021 [1].
Currently based in São Paulo, Luis is the Chief Technology Officer at Loft,
a technology startup in the real-estate industry. He brings product and
technology experience from a globally diverse career that has spanned large
technology companies including Microsoft, online networking sites like
Reddit, and a series of entrepreneurial technology ventures focused in the
USA and Latin America. Luis has led product and technology teams across
Latin America, the United States, Europe and Asia. He is passionately
involved in building and promoting the entrepreneurial ecosystem for Latin
American-based startups.
Luis has more than two decades of experience across product development,
software engineering, and data science. At Microsoft, he led engineering
teams shipping multiple Microsoft Office products. At Reddit, he led the
Knowledge Group, an engineering team that owned critical functions such as
data, machine learning, abuse detection and search. He was deeply involved
in Reddit’s growth stage and worked closely with Reddit’s communities in
that evolution. Luis also co-founded a fintech startup to help millennials
manage and automate their finances.
His career has also been shaped by a visible commitment to recruiting
diverse leaders. At Reddit, Luis was a key member of the recruitment
efforts that achieved equal representation of women engineering directors.
Luis says his proudest achievement at Microsoft was building their
Brazilian talent pipeline by working closely with local universities to
place thousands of engineering candidates at Microsoft, as well as his
involvement in expanding global recruitment to markets including Ukraine,
Poland, Great Britain, the EU and Mexico.
Luis was educated in Brazil and the United States, receiving a Bachelor of
Science in Computer Engineering with Honors from the University of
Maryland. He is fluent in Portuguese, Spanish and English. He is also a
proud father and dog lover.
I would like to thank the Governance Committee, chaired by Dariusz
Jemielniak, for this nomination process as well as volunteers in our
Spanish and Portuguese speaking communities who also met with Luis or
shared their experiences.
You can find an official announcement here [2].
PS. You can help translate or find translations of this message on
Meta-Wiki:
https://meta.wikimedia.org/wiki/Wikimedia_Foundation_Board_noticeboard/Janu…
[1] Lisa Lewin served from January 2019 till November 2021:
https://foundation.wikimedia.org/wiki/Resolution:Renewing_Lisa_Lewin%E2%80%…
[2]
https://diff.wikimedia.org/2022/01/12/luis-bitencourt-emilio-joins-wikimedi…
Best regards,
antanana / Nataliia Tymkiv
Chair, Wikimedia Foundation Board of Trustees
*NOTICE: You may have received this message outside of your normal working
hours/days, as I usually can work more as a volunteer during weekend. You
should not feel obligated to answer it during your days off. Thank you in
advance!*
This paper (first reference) is the result of a class project I was part of
almost two years ago for CSCI 5417 Information Retrieval Systems. It builds
on a class project I did in CSCI 5832 Natural Language Processing and which
I presented at Wikimania '07. The project was very late as we didn't send
the final paper in until the day before new years. This technical report was
never really announced that I recall so I thought it would be interesting to
look briefly at the results. The goal of this paper was to break articles
down into surface features and latent features and then use those to study
the rating system being used, predict article quality and rank results in a
search engine. We used the [[random forests]] classifier which allowed us to
analyze the contribution of each feature to performance by looking directly
at the weights that were assigned. While the surface analysis was performed
on the whole english wikipedia, the latent analysis was performed on the
simple english wikipedia (it is more expensive to compute). = Surface
features = * Readability measures are the single best predictor of quality
that I have found, as defined by the Wikipedia Editorial Team (WET). The
[[Automated Readability Index]], [[Gunning Fog Index]] and [[Flesch-Kincaid
Grade Level]] were the strongest predictors, followed by length of article
html, number of paragraphs, [[Flesh Reading Ease]], [[Smog Grading]], number
of internal links, [[Laesbarhedsindex Readability Formula]], number of words
and number of references. Weakly predictive were number of to be's, number
of sentences, [[Coleman-Liau Index]], number of templates, PageRank, number
of external links, number of relative links. Not predictive (overall - see
the end of section 2 for the per-rating score breakdown): Number of h2 or
h3's, number of conjunctions, number of images*, average word length, number
of h4's, number of prepositions, number of pronouns, number of interlanguage
links, average syllables per word, number of nominalizations, article age
(based on page id), proportion of questions, average sentence length. :*
Number of images was actually by far the single strongest predictor of any
class, but only for Featured articles. Because it was so good at picking out
featured articles and somewhat good at picking out A and G articles the
classifier was confused in so many cases that the overall contribution of
this feature to classification performance is zero. :* Number of external
links is strongly predictive of Featured articles. :* The B class is highly
distinctive. It has a strong "signature," with high predictive value
assigned to many features. The Featured class is also very distinctive. F, B
and S (Stop/Stub) contain the most information.
:* A is the least distinct class, not being very different from F or G. =
Latent features = The algorithm used for latent analysis, which is an
analysis of the occurence of words in every document with respect to the
link structure of the encyclopedia ("concepts"), is [[Latent Dirichlet
Allocation]]. This part of the analysis was done by CS PhD student Praful
Mangalath. An example of what can be done with the result of this analysis
is that you provide a word (a search query) such as "hippie". You can then
look at the weight of every article for the word hippie. You can pick the
article with the largest weight, and then look at its link network. You can
pick out the articles that this article links to and/or which link to this
article that are also weighted strongly for the word hippie, while also
contributing maximally to this articles "hippieness". We tried this query in
our system (LDA), Google (site:en.wikipedia.org hippie), and the Simple
English Wikipedia's Lucene search engine. The breakdown of articles occuring
in the top ten search results for this word for those engines is: * LDA
only: [[Acid rock]], [[Aldeburgh Festival]], [[Anne Murray]], [[Carl
Radle]], [[Harry Nilsson]], [[Jack Kerouac]], [[Phil Spector]], [[Plastic
Ono Band]], [[Rock and Roll]], [[Salvador Allende]], [[Smothers brothers]],
[[Stanley Kubrick]]. * Google only: [[Glam Rock]], [[South Park]]. * Simple
only: [[African Americans]], [[Charles Manson]], [[Counterculture]], [[Drug
use]], [[Flower Power]], [[Nuclear weapons]], [[Phish]], [[Sexual
liberation]], [[Summer of Love]] * LDA & Google & Simple: [[Hippie]],
[[Human Be-in]], [[Students for a democratic society]], [[Woodstock
festival]] * LDA & Google: [[Psychedelic Pop]] * Google & Simple: [[Lysergic
acid diethylamide]], [[Summer of Love]] ( See the paper for the articles
produced for the keywords philosophy and economics ) = Discussion /
Conclusion = * The results of the latent analysis are totally up to your
perception. But what is interesting is that the LDA features predict the WET
ratings of quality just as well as the surface level features. Both feature
sets (surface and latent) both pull out all almost of the information that
the rating system bears. * The rating system devised by the WET is not
distinctive. You can best tell the difference between, grouped together,
Featured, A and Good articles vs B articles. Featured, A and Good articles
are also quite distinctive (Figure 1). Note that in this study we didn't
look at Start's and Stubs, but in earlier paper we did. :* This is
interesting when compared to this recent entry on the YouTube blog. "Five
Stars Dominate Ratings"
http://youtube-global.blogspot.com/2009/09/five-stars-dominate-ratings.html…
I think a sane, well researched (with actual subjects) rating system
is
well within the purview of the Usability Initiative. Helping people find and
create good content is what Wikipedia is all about. Having a solid rating
system allows you to reorganized the user interface, the Wikipedia
namespace, and the main namespace around good content and bad content as
needed. If you don't have a solid, information bearing rating system you
don't know what good content really is (really bad content is easy to spot).
:* My Wikimania talk was all about gathering data from people about articles
and using that to train machines to automatically pick out good content. You
ask people questions along dimensions that make sense to people, and give
the machine access to other surface features (such as a statistical measure
of readability, or length) and latent features (such as can be derived from
document word occurence and encyclopedia link structure). I referenced page
262 of Zen and the Art of Motorcycle Maintenance to give an example of the
kind of qualitative features I would ask people. It really depends on what
features end up bearing information, to be tested in "the lab". Each word is
an example dimension of quality: We have "*unity, vividness, authority,
economy, sensitivity, clarity, emphasis, flow, suspense, brilliance,
precision, proportion, depth and so on.*" You then use surface and latent
features to predict these values for all articles. You can also say, when a
person rates this article as high on the x scale, they also mean that it has
has this much of these surface and these latent features.
= References =
- DeHoust, C., Mangalath, P., Mingus., B. (2008). *Improving search in
Wikipedia through quality and concept discovery*. Technical Report.
PDF<http://grey.colorado.edu/mediawiki/sites/mingus/images/6/68/DeHoustMangalat…>
- Rassbach, L., Mingus., B, Blackford, T. (2007). *Exploring the
feasibility of automatically rating online article quality*. Technical
Report. PDF<http://grey.colorado.edu/mediawiki/sites/mingus/images/d/d3/RassbachPincock…>
Hoi,
I have asked and received permission to forward to you all this most
excellent bit of news.
The linguist list, is a most excellent resource for people interested in the
field of linguistics. As I mentioned some time ago they have had a funding
drive and in that funding drive they asked for a certain amount of money in
a given amount of days and they would then have a project on Wikipedia to
learn what needs doing to get better coverage for the field of linguistics.
What you will read in this mail that the total community of linguists are
asked to cooperate. I am really thrilled as it will also get us more
linguists interested in what we do. My hope is that a fraction will be
interested in the languages that they care for and help it become more
relevant. As a member of the "language prevention committee", I love to get
more knowledgeable people involved in our smaller projects. If it means that
we get more requests for more projects we will really feel embarrassed with
all the new projects we will have to approve because of the quality of the
Incubator content and the quality of the linguistic arguments why we should
approve yet another language :)
NB Is this not a really clever way of raising money; give us this much in
this time frame and we will then do this as a bonus...
Thanks,
GerardM
---------- Forwarded message ----------
From: LINGUIST Network <linguist(a)linguistlist.org>
Date: Jun 18, 2007 6:53 PM
Subject: 18.1831, All: Call for Participation: Wikipedia Volunteers
To: LINGUIST(a)listserv.linguistlist.org
LINGUIST List: Vol-18-1831. Mon Jun 18 2007. ISSN: 1068 - 4875.
Subject: 18.1831, All: Call for Participation: Wikipedia Volunteers
Moderators: Anthony Aristar, Eastern Michigan U <aristar(a)linguistlist.org>
Helen Aristar-Dry, Eastern Michigan U <hdry(a)linguistlist.org>
Reviews: Laura Welcher, Rosetta Project
<reviews(a)linguistlist.org>
Homepage: http://linguistlist.org/
The LINGUIST List is funded by Eastern Michigan University,
and donations from subscribers and publishers.
Editor for this issue: Ann Sawyer <sawyer(a)linguistlist.org>
================================================================
To post to LINGUIST, use our convenient web form at
http://linguistlist.org/LL/posttolinguist.html
===========================Directory==============================
1)
Date: 18-Jun-2007
From: Hannah Morales < hannah(a)linguistlist.org >
Subject: Wikipedia Volunteers
-------------------------Message 1 ----------------------------------
Date: Mon, 18 Jun 2007 12:49:35
From: Hannah Morales < hannah(a)linguistlist.org >
Subject: Wikipedia Volunteers
Dear subscribers,
As you may recall, one of our Fund Drive 2007 campaigns was called the
"Wikipedia Update Vote." We asked our viewers to consider earmarking their
donations to organize an update project on linguistics entries in the
English-language Wikipedia. You can find more background information on this
at:
http://linguistlist.org/donation/fund-drive2007/wikipedia/index.cfm.
The speed with which we met our goal, thanks to the interest and generosity
of
our readers, was a sure sign that the linguistics community was enthusiastic
about the idea. Now that summer is upon us, and some of you may have a bit
more
leisure time, we are hoping that you will be able to help us get started on
the
Wikipedia project. The LINGUIST List's role in this project is a purely
organizational one. We will:
*Help, with your input, to identify major gaps in the Wikipedia materials or
pages that need improvement;
*Compile a list of linguistics pages that Wikipedia editors have identified
as
"in need of attention from an expert on the subject" or " does not cite any
references or sources," etc;
*Send out periodical calls for volunteer contributors on specific topics or
articles;
*Provide simple instructions on how to upload your entries into Wikipedia;
*Keep track of our project Wikipedians;
*Keep track of revisions and new entries;
*Work with Wikimedia Foundation to publicize the linguistics community's
efforts.
We hope you are as enthusiastic about this effort as we are. Just to help us
all
get started looking at Wikipedia more critically, and to easily identify an
area
needing improvement, we suggest that you take a look at the List of
Linguists
page at:
http://en.wikipedia.org/wiki/List_of_linguists. M
Many people are not listed there; others need to have more facts and
information
added. If you would like to participate in this exciting update effort,
please
respond by sending an email to LINGUIST Editor Hannah Morales at
hannah(a)linguistlist.org, suggesting what your role might be or which
linguistics
entries you feel should be updated or added. Some linguists who saw our
campaign
on the Internet have already written us with specific suggestions, which we
will
share with you soon.
This update project will take major time and effort on all our parts. The
end
result will be a much richer internet resource of information on the breadth
and
depth of the field of linguistics. Our efforts should also stimulate
prospective
students to consider studying linguistics and to educate a wider public on
what
we do. Please consider participating.
Sincerely,
Hannah Morales
Editor, Wikipedia Update Project
Linguistic Field(s): Not Applicable
-----------------------------------------------------------
LINGUIST List: Vol-18-1831
Dear WMF accounts staff,
Could you kindly clarify whether the "Salaries, other compensation,
employee benefits" figure in Part I, line 15 of the Form 990 relates solely
to the 291 employees indicated in Part I, line 5, or whether it also
includes salaries, compensation and benefits for the 82 contractors listed
in Part V, line 1a of the Form 990.
Thank you.
Andreas
Hi everyone!
I'm very happy to announce that the Affiliations Committee has recognized
[1] *Wikimedia Community User Group* *Rwanda *[2] as a Wikimedia User
Group. The group aims to improve articles on Wikimedia Foundation project
websites and promote free and open access to knowledge locally in
Kinyarwanda & English. They also invest in projects that sensitize and
train different communities in Rwanda about Wikipedia with much emphasis on
Kinyarwanda Wikipedia*.*
Please join me in congratulating the members of this new user group!
[1]
https://meta.wikimedia.org/wiki/Affiliations_Committee/Resolutions/Recognit…
[2] https://meta.wikimedia.org/wiki/Wikimedia_Community_User_Group_Rwanda
Regards,
*Camelia Boban*
*Chair*
*Affiliation <https://meta.wikimedia.org/wiki/Affiliations_Committee>*
Hello everyone,
I’m writing as Acting Chair of the Community Affairs Committee to invite
you to our next Conversation with the Trustees, which will take place on 21
April at 10:00 UTC <https://zonestamp.toolforge.org/1650535215>. This is a
chance for you to speak directly with members of the Wikimedia Foundation
Board of Trustees about our work guiding the Wikimedia Foundation’s
activities.
We welcome you to join us on Zoom. Request the Zoom link by emailing
askcac(a)wikimedia.org, or stream live on YouTube
<https://youtu.be/3cd2FxovdXE> instead. You can also email
askcac(a)wikimedia.org to submit questions ahead of time or request language
interpretation for the call.
Agenda items include the Foundation’s Annual Plan and how the community can
participate in shaping it. More agenda items will be added on the event
Meta page
<https://meta.wikimedia.org/wiki/Wikimedia_Foundation_Community_Affairs_Comm…>
closer to the date.
Hope to see you there!
Rosie
*Rosie Stephenson-Goodknight *(she/her)
Acting Chair, Community Affairs Committee
Board of Trustees, Wikimedia Foundation <https://wikimediafoundation.org/>
<https://wikimediafoundation.org/>
Hi all,
Join the Research Team at the Wikimedia Foundation [1] for their monthly
Office hours this Tuesday, 2022-04-05. Find your local time here
<https://zonestamp.toolforge.org/1649199600>.
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 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].
To improve the impact and accessibility of our sessions, we invite you to
share your feedback in a brief optional survey [6]. 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.
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
[6] https://forms.gle/Y5zJ7gunk4RvqvJX8
--
Emily Lescak (she / her)
Senior Research Community Officer
The Wikimedia Foundation