What is May 17th?
The International Day Against Homophobia, Transphobia and Biphobia was
created in 2004 to draw the attention to the violence and discrimination
experienced by lesbian, gay, bisexual, transgender, intersex people and all
other people with diverse sexual orientations, gender identities or
expressions, and sex characteristics. The date of May 17th was specifically
chosen to commemorate the World Health Organization’s decision in 1990 to
declassify homosexuality as a mental disorder. https://may17.org
One year ago in 2020 we started QueeringW in hope #1 Queering Wikipedia
conference would be happening with a year of delay...now we hope it is in
2022!
Meanwhile we are "Together, we Resist, Support, and Heal"
<https://twitter.com/may17org>
Happy #May17 #IDAHOT #IDAHOTBITQ
for those who celebrate and would support
https://www.instagram.com/QueeringW
@may17org <https://twitter.com/may17org> #IDAHOT
<https://twitter.com/hashtag/IDAHOT?src=hashtag_click> #IDAHOT2021
<https://twitter.com/hashtag/IDAHOT2021?src=hashtag_click>
https://twitter.com/QueeringW
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
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 friends and colleagues
Please permit me to publicise an academic conference that we're holding at
Hong Kong Baptist University on 15-17 December 2021.
The conference will be an ideal forum in which to discuss research
methodologies, issues of collaborativity, theoretical frameworks that have
proven valuable for the study of Wikipedia translation, the use of
Wikipedia in the translation classroom and by translation professionals,
and the nature of Wikipedia translation and how it differs not only from
other more traditional types of translation but also from other newly
emerging types. While the conference's main focus is interlingual
translation within the online encyclopaedia, we are also interested
in research into the multilingual Wikipedia that makes no explicit
reference to translation issues.
The conference will be online, face-to-face or mixed mode, depending on
prevailing circumstances. Please see the conference website at
https://ctn.hkbu.edu.hk/wikiconf2021/ for full details and the Call for
Papers.
I hope to see some of you there!
Mark
Professor Mark Shuttleworth 夏致遠
Department of Translation, Interpreting and Intercultural Studies
Hong Kong Baptist University
Phone: +852 3411 6641
http://www.tran.hkbu.edu.hkhttps://ctn.hkbu.edu.hk/wikiconf2021/
--
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and do not necessarily represent the views and
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The University accepts no liability
whatsoever for any losses or damages
that may be incurred or caused to
any party as a result of the use of such
information.
Hello, all. :)
I hope and trust that everyone is keeping well during these times!
I’m Maggie Dennis, Vice President of the Community Resilience &
Sustainability group of Wikimedia Foundation, within the Legal department.
I wanted to announce with pleasure that Maria Sefidari has agreed to
consult with the Foundation on Movement Strategy and the ongoing Board
evolution for the upcoming year. Many of us know María from her role as the
chair of the Wikimedia Foundation Board of Trustees, from which she
provided invaluable leadership in governance, oversight, and fundraising.
Others may know her from her volunteer work as User:Raystorm
<https://meta.wikimedia.org/wiki/User:Raystorm>, in which she has a broad
range of experience.
María, based in Spain, commenced her assignment with the Foundation this
week. We intend to tap into her expertise and knowledge of the Foundation
to support a successful implementation of the Movement’s Strategy and to
tap into new opportunities. (With her Board work, she will be supporting
Quim Gil’s team with the Board election and helping Margo Lee in improving
onboarding, documentation practices, and training.) María will report to me
as part of our Community Resilience & Sustainability group. I’m excited
that she accepted our offer for a more hands-on assignment, particularly
given how important all of the work she’ll be supporting is. :) With more
than 15 years of Wikimedia experience, her contributions in the next phase
will be a tremendous benefit to me and my team as we continue settling into
our own work on Movement Strategy.
Those of you who are involved with Movement Strategy are used to seeing her
at related meetings and still will. :) I anticipate María will be joining
one or more of the Movement Strategy global conversations
<https://meta.wikimedia.org/wiki/Movement_Strategy/Updates/June_15,_2021>
this weekend. Advertisement alert: maybe you can, too? Here’s more detail
<https://meta.wikimedia.org/wiki/Movement_Strategy/Updates/June_15,_2021>!
I myself will be attending at least one of those sessions and look forward
to seeing some of you there.
Warm regards,
Maggie
--
Maggie Dennis
She/her/hers
Vice President, Community Resilience & Sustainability
Wikimedia Foundation, Inc.
Dear Wikimedians,
Last year, the Education team at the Wikimedia Foundation launched a pilot
teacher training program that helped teachers use Wikipedia in their
classrooms. Reading Wikipedia in the Classroom
<https://wikimediafoundation.org/our-work/education/reading-wikipedia-in-the…>
provided a professional development opportunity to over 500 teachers in
Bolivia, Morocco, and the Philippines with a localized curriculum and
resources aligned with UNESCO’s Media and Information Literacy framework.
Throughout this 9-week program, teachers developed vital media and
information literacy skills for the 21st century, including understanding
how information is produced, accessing and evaluating content online, and
identifying biases and knowledge gaps. All through the power of Wikipedia
<https://www.k12digest.com/changing-the-narrative-the-power-of-wikipedia-to-…>!
You can read more details about the pilot program and its impact in our
final report
<https://commons.wikimedia.org/wiki/File:Reading_Wikipedia_Final_Report.pdf>
[1].
Now, we are opening up the opportunity to more Wikimedians, mission-aligned
organizations, and individuals to participate in a Training of Trainers
(ToT). By the end of the ToT, participants will be certified to lead
training for Reading Wikipedia in the Classroom. They will be able to adapt
& implement the Reading Wikipedia in the Classroom program in their local
contexts to help teachers use Wikipedia as a pedagogical tool. Participants
who successfully complete the ToT will also have access to a pool of
funding that can support their local activities. You can learn more about
the ToT timeline and curriculum on Meta
<https://meta.wikimedia.org/wiki/Education/Reading_Wikipedia_in_the_Classroo…>
.
We think you or members of your community would be a great fit! We invite
you to attend an information session on Thursday, July 29 at 13:00 UTC via
Zoom <https://wikimedia.zoom.us/j/95280050770>. The team will share more
detailed information, answer questions, and announce the open call for
applications. If you have any questions ahead of this event, please don’t
hesitate to reach out to the team at education(a)wikimedia.org
We look forward to seeing you at the information session!
--the Education Team
[1]The program report
<https://commons.wikimedia.org/wiki/File:Reading_Wikipedia_Final_Report.pdf>
shows us how teachers’ attitudes towards Wikipedia changed as they moved
through the curriculum, responded to practical assignments and reflection
questions, and participated in synchronous sessions led by local
coordinators of the program. For example, one of the participating teachers
from Bolivia said that at first he “thought that Wikipedia was a platform
like Google, but now I value all the volunteer work done by the community
behind it”. The program model also supported members of the local Wikimedia
affiliates to improve their capacity to organize and lead education
initiatives. Currently, the Wikimedians of Bolivia
<https://twitter.com/wikimedia_bo/status/1415057167804162049> user group is
launching the second edition of the program! The resources
<https://commons.wikimedia.org/wiki/Category:Reading_Wikipedia_in_the_classr…>
created for the program are available on Wikimedia Commons in English,
Spanish, Arabic, and Tagalog, and they are free for anybody to use, adapt
and share.
--
Sailesh Patnaik (He/Him)
Program Officer, Education
Wikimedia Foundation <https://wikimediafoundation.org/>
Dear Wikimedians,
Wiki Indaba is the official regional conference of the Wikimedia Foundation
for Africans both within and in the diaspora with interest in African
continent in addition to other open knowledge activators who are aligned
with the open information sharing mission.Topics of presentation and
dialogue include Wikimedia projects such as Wikipedia, other wikis,
open-source software, free knowledge, free content and how these projects
affect the African continent.
The 2020 edition of the conference was supposed to be held in Kampala,
Uganda but was postponed and will instead be held as a virtual event hosted
by the Wikimedia Community User Group Uganda from 5th - 7th November 2021
Whether you are a community member of one of the Wikimedia projects (such
as Wikipedia, Wikidata or others), or a fellow open content creator or
consumer, the Local Organising Committee (LOC) in Uganda welcomes your
participation in this survey to identify themes and topics that would not
only be inclusive but also be of interest to you and your community.
Please give us your feedback by filling this survey http://shorturl.at/ltPR7
not later than 12th August 2021
Kind regards,
Geoffrey Kateregga
Communications Lead,
Virtual Wiki Indaba 2021
Hello all,
We invite you all to sign up for Toolhub's Quality Signal sessions!
Toolhub <https://meta.wikimedia.org/wiki/Toolhub> [1] is a
community-authored catalog of Wikimedia tools. On Toolhub, you will be able
to discover new tools in the Wikimedia ecosystem, promote their use in your
wiki community, and help improve them by contributing data. Toolhub's first
release is planned around Wikimania 2021.
The Toolhub team is currently working on identifying quality indicators
through conversations with tool users and developers. As a tool user, how
do you know which tool is reliable, useful, and safe to use? As a tool
maintainer, what makes it attractive to you to contribute to an existing
tool? What information are you looking for to decide whether to join a tool
project? We hope that these sessions will help gather quality indicators
for tools and provide valuable insight toward developing new features to
convey the quality.
Want to organize a quality signal session in your community in August/early
September? Please get in touch on the talk page or sign-up for an already
planned session by adding your name below it: <
https://meta.wikimedia.org/wiki/Toolhub/The_Quality_Signal_Sessions> [2].
Your feedback, thoughts, ideas would be valuable!
If you are attending Wikimania, we are running a few introductions and a
feedback session as part of the unconference. Learn more here: <
https://wikimania.wikimedia.org/wiki/2021:Unconference/Toolhub> [3].
Cheers,
Srishti
On behalf of the Toolhub team
[1] https://meta.wikimedia.org/wiki/Toolhub
[2] https://meta.wikimedia.org/wiki/Toolhub/The_Quality_Signal_Sessions
[3] https://wikimania.wikimedia.org/wiki/2021:Unconference/Toolhub
*Srishti Sethi*
Senior Developer Advocate
Wikimedia Foundation <https://wikimediafoundation.org/>
Hello all,
This email is a reminder to start proposing projects and sessions for this
year’s Wikimania hackathon, taking place on August 13th (the first day of
Wikimania). You may have already seen the announcement email last week with
all the details.
This year’s hackathon will take place in a 24 hrs format covering all time
zones. You can start proposing a session or a project by following the
guidelines here: <
https://wikimania.wikimedia.org/wiki/2021:Hackathon#Propose_a_project_or_a_…>
[1].
We also encourage folks to reuse the video of a previously recorded session
(in lecture format) to organize a watch party-style session. And, you can
pause during or after for questions and discussions. That way, you have to
do less prep, and one can watch your session at any time during the event.
There isn't a specific focus area proposed this time, so your session or
project needn't fit under a theme. Anything that involves MediaWiki
development or covers a technical area in the Wikimedia ecosystem. Plus, we
welcome sessions that would be helpful to newcomers–new to the event, our
technical spaces, or projects.
If you have any questions, feel free to use the related talk page to
contact the organizing team or join the community conversation on Telegram:
<https://t.me/wikimaniachat> [2].
We look forward to your participation!
Cheers,
Srishti
On behalf of the Wikimania Hackathon organizing team
[1]
https://wikimania.wikimedia.org/wiki/2021:Hackathon#Propose_a_project_or_a_…
[2] https://t.me/wikimaniachat
*Srishti Sethi*
Senior Developer Advocate
Wikimedia Foundation <https://wikimediafoundation.org/>