Dear everyone,
As presented at last year's WikidataCon
<https://www.youtube.com/watch?v=e_VxTlBNkyk>, Wikimedia Deutschland has
set out to find new ways for collaboration around Wikidata software
development to enhance the diversity of our movement, increase Wikibase’s
scalability and robustness and breathe life into our movement principles of
knowledge equity. With a grant from Arcadia
<https://www.arcadiafund.org.uk/>, a charitable fund administered by Lisbet
Rausing and Peter Baldwin, we will be able to implement such a
collaboration in the next two years.
Today, we are happy to share an exciting update on the progress of this
project with all of you. After spending the last few months with
conversations with the movement groups who were interested in joining such
a partnership, we have now reached a point where we can spread the news
about the future partners and projects that will shape this Wikidata
software collaboration.
Wikimedia Indonesia, the Igbo Wikimedians User Group and Wikimedia
Deutschland will be joining forces to advance the technical capacities of
the movement around Wikidata development and with this, make the software
and tools more usable by cultures underrepresented in technology, people of
the Global South and speakers of minority languages.
Wikimedia Indonesia, a non-profit organization based in Jakarta, Indonesia
and established in 2008, is dedicated to encouraging the growth,
development & dissemination of knowledge in Indonesian and other languages
spoken in Indonesia. Since then, Wikimedia Indonesia has supported the
development of 14 Wikipedias in the languages spoken in Indonesia, 12
regional Wikimedian communities spread across the country, and two
Wikimedia project-based communities.
For this project, in collaboration with Wikimedia Deutschland, Wikimedia
Indonesia wants to build up a software team of their own in the course of
the next 2 years. The tools will hopefully help under-resourced language
communities contributing to the flourishing of their languages online
through lexicographical data, and also involving the local language
communities in contributing to lexemes in Wikidata.
Igbo Wikimedians is a group of Wikimedians that are committed to working on
various wiki projects related to Igbo language
<https://en.wikipedia.org/wiki/Igbo_language> and culture. The user group
is organizing projects around community building in the Igbo community,
content improvement for Wikipedia and its sister project and has
established its own Wikidata hub in 2021.
The Igbo Wikimedia User Group and their program of the Wiki Mentor Africa
<https://m.wikidata.org/wiki/Wikidata:Wiki_Mentor_Africa> is aiming at
building up technical capacity in African Wikimedia communities by
mentoring African developers for Wikidata Tool Development. Wikimedia
Deutschland will support the user group in the implementation of their
project and mentoring program.
Wikimedia Deutschland has been founded in 2004 as a member’s association
and is located in Berlin, Germany. Wikimedia Deutschland support
communities like the Wikipedia community, develop software for Wikimedia
projects and the ecosystem of Free Knowledge, and wants to improve the
political and legal framework for Wikipedia and for Free Knowledge in
general.
Specifically, Wikimedia Deutschland has been working on the development of
Wikidata since 2012. Since then, an active and vibrant community of
volunteer editors and programmers, re-users, data donors, affiliates and
more has formed around Wikidata.
Wikimedia Deutschland will be responsible for the administrative setup of
those collaborations and the communication with Arcadia. We are also happy
to share our experiences and knowledge about establishing software teams,
software development in the Wikidata/Wikibase environment, the Wikidata
community and providing support for emerging tech communities.
If you want to find out more about the partnership, you can read up on this
on our project page on Meta
<https://meta.wikimedia.org/wiki/Software_Collaboration_for_Wikidata>,
where we will keep updating the community on the progress of this
collaboration. If you have any comments, suggestions or questions please
use the talk page there to get in contact with us.
We are all excited to see those collaborations coming to life!
With kind regards,
Igbo Wikimedians User Group
Wikimedia Indonesia
Wikimedia Deutschland
--
Maria Heuschkel
Projektmanagerin
Softwareentwicklung
Wikimedia Deutschland e. V. | Tempelhofer Ufer 23-24 | 10963 Berlin
Tel. (030) 219 158 26-0
https://wikimedia.de
Unsere Vision ist eine Welt, in der alle Menschen am Wissen der Menschheit
teilhaben, es nutzen und mehren können. Helfen Sie uns dabei!
https://spenden.wikimedia.de
Wikimedia Deutschland — Gesellschaft zur Förderung Freien Wissens e. V.
Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter
der Nummer 23855 B. Als gemeinnützig anerkannt durch das Finanzamt für
Körperschaften I Berlin, Steuernummer 27/029/42207.
Hello everyone,
The fifth workshop on the topic of "Hosting bots and scripts on Toolforge"
is coming up - it will take place on Thursday, June 30th at 16:00 UTC. You
can find more details on the workshop and a link to join here: <
https://meta.wikimedia.org/wiki/Small_wiki_toolkits/Workshops#How_to_host_a…>
[1].
This workshop will introduce participants to Toolforge, how to create a
developer account, access it via ssh, create and run bots and scripts, etc.
You can add your discussion ideas in the etherpad doc linked from the
workshops page. To participate in this workshop, you would need basic
familiarity with using command-line tools and technical knowledge of bots.
We look forward to your participation!
Best,
Srishti
On behalf of the SWT Workshops Organization team
[1]
https://meta.wikimedia.org/wiki/Small_wiki_toolkits/Workshops#How_to_host_a…
*Srishti Sethi*
Senior Developer Advocate
Wikimedia Foundation <https://wikimediafoundation.org/>
The Seventeenth International Workshop on
ONTOLOGY MATCHING
(OM-2022)
http://om2022.ontologymatching.org/
October 23rd or 24th, 2022,
International Semantic Web Conference (ISWC) Workshop Program,
Hybrid conference, Hangzhou, China
BRIEF DESCRIPTION AND OBJECTIVES
Ontology matching is a key interoperability enabler for the Semantic Web,
as well as a useful technique in some classical data integration tasks
dealing with the semantic heterogeneity problem. It takes ontologies
as input and determines as output an alignment, that is, a set of
correspondences between the semantically related entities of those
ontologies.
These correspondences can be used for various tasks, such as ontology
merging, data interlinking, query answering or navigation over knowledge
graphs.
Thus, matching ontologies enables the knowledge and data expressed
with the matched ontologies to interoperate.
The workshop has three goals:
1.
To bring together leaders from academia, industry and user institutions
to assess how academic advances are addressing real-world requirements.
The workshop will strive to improve academic awareness of industrial
and final user needs, and therefore, direct research towards those needs.
Simultaneously, the workshop will serve to inform industry and user
representatives about existing research efforts that may meet their
requirements. The workshop will also investigate how the ontology
matching technology is going to evolve, especially with respect to
data interlinking, knowledge graph and web table matching tasks.
2.
To conduct an extensive and rigorous evaluation of ontology matching
and instance matching (link discovery) approaches through
the OAEI (Ontology Alignment Evaluation Initiative) 2022 campaign:
http://oaei.ontologymatching.org/2022/
3.
To examine similarities and differences from other, old, new and emerging,
techniques and usages, such as web table matching or knowledge embeddings.
TOPICS of interest include but are not limited to:
Business and use cases for matching (e.g., big, open, closed data);
Requirements to matching from specific application scenarios (e.g.,
public sector);
Application of matching techniques in real-world scenarios (e.g., in
cloud, with mobile apps);
Formal foundations and frameworks for matching;
Novel matching methods, including link prediction, ontology-based
access;
Matching and knowledge graphs;
Matching and deep learning;
Matching and embeddings;
Matching and big data;
Matching and linked data;
Instance matching, data interlinking and relations between them;
Privacy-aware matching;
Process model matching;
Large-scale and efficient matching techniques;
Matcher selection, combination and tuning;
User involvement (including both technical and organizational aspects);
Explanations in matching;
Social and collaborative matching;
Uncertainty in matching;
Expressive alignments;
Reasoning with alignments;
Alignment coherence and debugging;
Alignment management;
Matching for traditional applications (e.g., data science);
Matching for emerging applications (e.g., web tables, knowledge graphs).
SUBMISSIONS
Contributions to the workshop can be made in terms of technical papers and
posters/statements of interest addressing different issues of ontology
matching
as well as participating in the OAEI 2022 campaign. Long technical papers
should
be of max. 12 pages. Short technical papers should be of max. 5 pages.
Posters/statements of interest should not exceed 2 pages.
All contributions have to be prepared using the LNCS Style:
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0
and should be submitted in PDF format (no later than August 9th, 2022)
through the workshop submission site at:
https://www.easychair.org/conferences/?conf=om2022
Contributors to the OAEI 2022 campaign have to follow the campaign
conditions
and schedule at http://oaei.ontologymatching.org/2022/.
DATES FOR TECHNICAL PAPERS AND POSTERS:
August 9th, 2022: Deadline for the submission of papers.
September 6th, 2022: Deadline for the notification of
acceptance/rejection.
September 20th, 2022: Workshop camera ready copy submission.
October 23rd or 24th, 2022: OM-2022, hybrid conference, Hangzhou,
China.
Contributions will be refereed by the Program Committee.
Accepted papers will be published in the workshop proceedings
as a volume of CEUR-WS as well as indexed on DBLP.
ORGANIZING COMMITTEE
1. Pavel Shvaiko (main contact)
Trentino Digitale, Italy
2. Jérôme Euzenat
INRIA & Univ. Grenoble Alpes, France
3. Ernesto Jiménez-Ruiz
City, University of London, UK & SIRIUS, University of Oslo, Norway
4. Oktie Hassanzadeh
IBM Research, USA
5. Cássia Trojahn
IRIT, France
PROGRAM COMMITTEE (to be completed):
Alsayed Algergawy, Jena University, Germany
Manuel Atencia, Universidad de Málaga, Spain
Jiaoyan Chen, University of Oxford, UK
Jérôme David, University Grenoble Alpes & INRIA, France
Gayo Diallo, University of Bordeaux, France
Daniel Faria, Instituto Gulbenkian de Ciéncia, Portugal
Alfio Ferrara, University of Milan, Italy
Marko Gulic, University of Rijeka, Croatia
Wei Hu, Nanjing University, China
Ryutaro Ichise, National Institute of Informatics, Japan
Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands
Naouel Karam, Fraunhofer, Germany
Prodromos Kolyvakis, EPFL, Switzerland
Patrick Lambrix, Linköpings Universitet, Sweden
Oliver Lehmberg, University of Mannheim, Germany
Fiona McNeill, University of Edinburgh, UK
Majid Mohammadi, Eindhoven University of Technology, Netherlands
Hoa Ngo, CSIRO, Australia
George Papadakis, University of Athens, Greece
Henry Rosales-Méndez, University of Chile, Chile
Booma Sowkarthiga, Microsoft, USA
Kavitha Srinivas, IBM, USA
Ludger van Elst, DFKI, Germany
Xingsi Xue, Fujian University of Technology, China
Ondrej Zamazal, Prague University of Economics, Czech Republic
Songmao Zhang, Chinese Academy of Science, China
Lu Zhou, TigerGraph, USA
-------------------------------------------------------
More about ontology matching:
http://www.ontologymatching.org/http://book.ontologymatching.org/
-------------------------------------------------------
Best Regards,
Pavel
-------------------------------------------------------
Pavel Shvaiko, PhD
Trentino Digitale, Italy
http://www.ontologymatching.org/https://www.trentinodigitale.it/http://www.dit.unitn.it/~pavel
--
Cap. Soc. Euro 6.433.680,00 - REG. IMP. / C.F. / P.IVA 00990320228
E-mail:
tndigit(a)tndigit.it <mailto:tndigit@tndigit.it> - www.trentinodigitale.it
<http://www.trentinodigitale.it>
Società soggetta ad attività di direzione
e coordinamento da parte della Provincia Autonoma di Trento - C.Fisc.
00337460224.
Questo messaggio è indirizzato esclusivamente ai destinatari
in intestazione, può contenere informazioni protette e riservate ai sensi
della normativa vigente e ne è vietato qualsiasi impiego diverso da quello
per cui è stato inviato. Se lo avete ricevuto per errore siete pregati di
eliminarlo in ogni sua parte e di avvisare il mittente
Hi all,
Join the Research Team at the Wikimedia Foundation [1] for their monthly
Office hours Tuesday, 2022-07-05. Find your local time here
<https://zonestamp.toolforge.org/1657036800>.
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].
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
Hello everyone,
I'm happy to share with you the upcoming Wikidata event *Data Quality Days
2022 <https://www.wikidata.org/wiki/Wikidata:Events/Data_Quality_Days_2022>*,
taking place online on July 8th to 10th. Following up on previous and
similar gatherings (Data Quality Days 2021
<https://www.wikidata.org/wiki/Wikidata:Events/Data_Quality_Days_2021>, Data
Reuse Days 2022
<https://www.wikidata.org/wiki/Wikidata:Events/Data_Reuse_Days_2022>), this
event will focus on *processes around data quality*, and will provide a
space to bring the Wikidata community and the Wikidata development team
together. During 3 days of presentations, workshops and facilitated
conversations, we will discuss how we are currently *identifying and fixing
incorrect data on Wikidata*, how we could improve these processes to *increase
data quality*, and what *concrete measures we could put in place together*,
with policies, tools or documentation.
The event is open to everyone, no particular knowledge or experience
needed, and will take place on the open source video conference platform
Jitsi. On the event page
<https://www.wikidata.org/wiki/Wikidata:Events/Data_Quality_Days_2022>, you
will find some useful information, the list of sessions, and the list of
participants
<https://www.wikidata.org/wiki/Wikidata:Events/Data_Quality_Days_2022/Partic…>
where
you can already sign up.
The program of the Data Quality Days 2022 is curated by the organizers (Léa
Lacroix, Lydia Pintscher and Manuel Merz). *Until June 19th, you
can propose a presentation, a workshop or a discussion topic
<https://www.wikidata.org/wiki/Wikidata_talk:Events/Data_Quality_Days_2022>*.
These will be selected and grouped by the organizers, and the final
schedule will be ready around June 27th.
If you have any questions, ideas or suggestions, or if you need support to
propose a presentation, feel free to write on the talk page of the event
<https://www.wikidata.org/wiki/Wikidata_talk:Events/Data_Quality_Days_2022> or
to reach out to me directly by email. I will also post updates on the talk
page.
We're looking forward to discussing with you again about data quality!
Cheers,
--
Léa Lacroix
Community Engagement Coordinator
Wikimedia Deutschland e.V.
Tempelhofer Ufer 23-24
10963 Berlin
www.wikimedia.de
Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V.
Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter
der Nummer 23855 Nz. Als gemeinnützig anerkannt durch das Finanzamt für
Körperschaften I Berlin, Steuernummer 27/029/42207.
Hey all! This is just a brief reminder that there will be a new online
community meeting about the Wikidata Query Service backend update!
The meeting will take place on Jitsi [1] on *Monday June 20, 2022 at
19.00 UTC*. [2] The topic of the call will be the testing of the
backend alternatives and the Blazegraph migration, and this will be
also an opportunity to discuss the approach and the details, and to
ask other questions about the Blazegraph alternatives work - such as
how the Blazegraph-specific features and capabilities will (or will
not) be supported. This will also be the last chance to talk to Andrea
Westerinen, our Graph Consultant, before her contract expires.
You can find more info about the latest WDQS backend updates at [3].
As always, I'm here in case you want more information or to answer any
questions. :)
Cheers,
[1] https://meet.jit.si/WDQS-alternative-backends-jun2022
[2] https://zonestamp.toolforge.org/1655751623
[3] https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/WDQS_backend_up…
--
Luca Martinelli [Sannita] (he/him)
Community Relations Specialist
The Third Wikidata Workshop
Second Call for Papers
Co-located with the 21st International Conference on Semantic Web (ISWC
2022).
Date: October 23 or 24, 2022
The workshop will be held online, afternoon European time.
Website: https://wikidataworkshop.github.io/2022/
== Important dates ==
Papers due: Friday, 29 July 2022
Notification of accepted papers: Friday, September 23, 2022
Camera-ready papers due: Monday, October 3, 2022
Workshop date: October 23/24, 2022
== Overview ==
Wikidata is an openly available knowledge base, hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines and
acts as a common structured-data repository for several Wikimedia projects,
including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of
applications by researchers and practitioners alike.
In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the broader
Wikidata community to meet, none of them focuses on publishing original,
peer-reviewed research. This workshop fills this gap - we hope to provide a
forum to build this fledgling scientific community and promote novel work
and resources that support it.
The workshop primarily seeks original contributions that address the
opportunities and challenges of creating, contributing to, and using a
global, collaborative, open-domain, multilingual knowledge graph such as
Wikidata.
We encourage a range of submissions, including novel research, opinion
pieces, and descriptions of systems and resources, which are naturally
linked to Wikidata and its ecosystem or enabled by it. What we are less
interested in are works that use Wikidata alongside or in lieu of other
resources to carry out some computational task - unless the work feeds back
into the Wikidata ecosystem, for instance by improving or commenting on
some Wikidata aspect, or suggesting new design features, tools, and
practices.
This year, we also added a track for already published work. To foster
conversations around the topic of Wikidata, we invite authors of papers
published at other conferences to submit their papers to present at the
workshop. These will not be included in the proceedings but gives a chance
for authors to interact with the community.
We welcome interdisciplinary work, as well as interesting applications that
shed light on the benefits of Wikidata and discuss areas of improvement.
The workshop is planned as an interactive half-day event, in which most of
the time will be dedicated to discussions and exchange rather than oral
presentations. For this reason, all accepted papers will be presented in
short talks and accompanied by a poster. All works will be presented
online.
== Topics ==
Topics of submissions include, but are not limited to:
- Data quality and vandalism detection in Wikidata
- Referencing in Wikidata
- Anomaly, bias, or novelty detection in Wikidata
- Algorithms for aligning Wikidata with other knowledge graphs
- The Semantic Web and Wikidata
- Community interaction in Wikidata
- Multilingual aspects in Wikidata
- Machine learning approaches to improve data quality in Wikidata
- Tools, bots, and datasets for improving or evaluating Wikidata
- Participation, diversity, and inclusivity aspects in the Wikidata
ecosystem
- Human-bot interaction
- Managing knowledge evolution in Wikidata
- Abstract Wikipedia
== Submission guidelines ==
We welcome the following types of contributions.
= Track 1: Novel Works =
The papers in this track will be peer-reviewed by at least three
researchers. Accepted papers will be published as open access papers on
CEUR (authors can also waive this). We invite the following types of papers:
- Full research paper: Novel research contributions (7-12 pages)
- Short research paper: Novel research contributions of smaller scope than
full papers (3-6 pages)
- Position paper: Well-argued ideas and opinion pieces, not yet in the
scope of a research contribution (6-8 pages)
- Resource paper: New dataset or other resources directly relevant to
Wikidata, including the publication of that resource (8-12 pages)
- Demo paper: New system critically enabled by Wikidata (6-8 pages)
Submissions must be as PDF or HTML, formatted in the style of the Springer
Publications format for Lecture Notes in Computer Science (LNCS). For
details on the LNCS style, see Springer’s Author Instructions.
Papers have to be submitted through easychair (Please add “[NOVEL]” in the
beginning of the title on the submission page so we know that you are
submitting to this track):
https://easychair.org/my/conference?conf=wikidataworkshop2022
= Track 2: Published works =
This track welcomes papers previously published at a peer-reviewed research
venue, to be presented and discussed in the workshop. They do not have to
follow the formatting and page limit instructions from Track 1, and can
instead be submitted in the original format.
Previously published papers will be reviewed by the organising committee in
terms of topical fit and prominence of the publication venue. They will not
be published as part of the proceedings. We invite the following types of
papers:
- Full research paper: Previously published research contributions
- Resource paper: Previously published datasets or other resources that are
important or interesting to the community
- Demo paper: Presenting a previously published system critically enabled
by Wikidata
Papers have to be submitted through easychair (please add “[PUBLISHED]” in
the beginning of the title on the submission page so we know that you are
submitting to this track):
https://easychair.org/my/conference?conf=wikidataworkshop2022
== Proceedings ==
The complete set of papers from the Novel Works Track will be published
with the CEUR Workshop Proceedings (CEUR-WS.org).
== Organizing committee ==
Lucie-Aimée Kaffee, University of Copenhagen, lucie.kaffee[[(a)]]gmail.com
Simon Razniewski, Max Planck Institute for Informatics, srazniew[[@]]
mpi-inf.mpg.de
Kholoud Alghamdi, King's College London, kholoud.alghamdi[[(a)]]kcl.ac.uk
Gabriel Maia Rocha Amaral, King's College London, gabriel.amaral[[@]]
kcl.ac.uk
== Programme committee ==
Seyed Amir Hosseini Beghaeiraveri, Heriot-Watt University
Houcemeddine Turki, Data Engineering and Semantics Research Unit,
University of Sfax, Tunisia
Filip Ilievski, Information Sciences Institute, University of Southern
California, Marina del Rey, CA, USA
Mahir Morshed, University of Illinois at Urbana-Champaign
Daniel Garijo, Universidad Politécnica de Madrdid
Niel Chah, University of Toronto & Microsoft
Alasdair Gray, Heriot Watt University
Thomas Pellissier Tanon, Lexistems
John Samuel, CPE Lyon
Dennis Diefenbach, The QA Company
Heiko Paulheim, University of Mannheim
Cristina Sarasua, University of Zurich
Pavlos Vougiouklis, Huawei
Pierre-Henri Paris, Télécom Paris
Lydia Pintscher, Wikimedia Deutschland
Isaac Johnson, Wikimedia Foundation
Alessandro Piscopo, BCC
Luis Galárraga, Inria
Danai Symeonidou, INRAE
Andrew D. Gordon, Microsoft Research and University of Edinburgh
David Abián, King’s College London
Elisavet Koutsiana, King’s College London
--
Lucie-Aimée Kaffee
------- TL;DR -------
Wikimedia Deutschland is looking for a partner organization to jointly
design and run the WikidataCon 2023. This organization should be recognized
legally in their country, be located in the Global South, have previous
experience with running events and have a Wikidata-enthusiastic community.
If your organization is interested, please reach out directly to Léa
Lacroix before July 31st.
----------------------------
Dear Wikimedians,
As you may know, the last edition of the WikidataCon in 2021
<https://www.wikidata.org/wiki/Wikidata:WikidataCon_2021> was organized
jointly by Wikimedia Deutschland and Wiki Movimento Brasil. The result of
these intense 10 months of collaboration was an incredibly successful
online event with about 500 participants, more than 40% of which joined
from the Global South.
This partnership not only created an innovative event, hosting multiple
conversations about the future of Wikidata and reimagining it from the
margins, but also gave us the opportunity to examine our priorities and
points of views, to learn from each other’s experiences and to share
skills. You can find a summary of what we learned, tried and achieved in
our common documentation
<https://meta.wikimedia.org/wiki/WikiProject_remote_event_participation/Docu…>
.
We’re starting to work on the concept and planning of a new WikidataCon
event for 2023, and so we’re very eager to form a new partnership with a
new organization in the Wikimedia movement. Together we would design and
organize the event and bring new perspectives to this important gathering
for the international Wikidata community.
We have defined baseline criteria to help select our future partner, based
on our vision of WikidataCon:
-
In order to broaden our perspectives and decenter from the existing
majority of Wikidata editors, we are looking for an organization located in
the Global South;
-
Those involved in co-organizing the conference should show a lot of
enthusiasm for Wikidata and have an existing connection to local
communities involved in Wikidata-related activities;
-
We are looking for a group of people with prior experience in organizing
events who are keen to experiment with new formats and design the future of
Wikimedia events together;
-
For administrative reasons, we can only partner up with a group legally
recognized as an organization in their country that is able to sign
contracts, issue invoices and receive funds from Germany.
This call for proposals will remain open until July 31st. If your
organization would like to apply, you need only to send me a private email
so we can start a conversation about your ideas and how this partnership
would work.
The selection of a partner will take place in August/September 2022. After
a public announcement, the collaboration between Wikimedia Deutschland and
this organization would run from October 2022 to November 2023. The event
itself would take place in a format to be later decided among the
organizers (online, onsite or hybrid) in October 2023.
Feel free to share this email with anyone who might be interested or on any
relevant channels.
I remain available for any questions, and I’m very excited to engage in
discussions with the many organizations of Wikidata enthusiasts in the
movement!
Best regards,
--
Léa Lacroix
Community Engagement Coordinator
Wikimedia Deutschland e.V.
Tempelhofer Ufer 23-24
10963 Berlin
www.wikimedia.de
Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V.
Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter
der Nummer 23855 Nz. Als gemeinnützig anerkannt durch das Finanzamt für
Körperschaften I Berlin, Steuernummer 27/029/42207.