Forwarding an email that may be of interest to subscribers of additional
email lists, and to the Futures Lab team.
Pine🌲
---------- Forwarded message ---------
From: Ilario valdelli via Wikimedia-l <wikimedia-l(a)lists.wikimedia.org>
Date: Thu, Jan 29, 2026 at 9:01 AM
Subject: [Wikimedia-l] Published: WMCH roundtable report on “Collective
Intelligence vs Artificial Intelligence” – why we did it and what’s next
To: Wikimedia Mailing List <wikimedia-l(a)lists.wikimedia.org>
Cc: Ilario valdelli <valdelli(a)gmail.com>
Dear all,
I’d like to share that Wikimedia CH and Open Future have published the
report from our Lausanne roundtable “Collective Intelligence vs Artificial
Intelligence” (4 Nov 2025), co-organised with Open Future and IMD Business
School.
I also want to add a bit of context on *why* we did this, because it comes
out of a very concrete moment for many of us: over the past year, it has
sometimes felt like “Wikimedia + AI” discussions were happening everywhere,
yet at the same time the community’s shared space for sensemaking was
getting thinner — less clarity, less common ground, and more uncertainty
about where to focus limited time and resources. Internally at WMCH, we
reached a point where we needed to step back and ask: *what should we do in
this period, and where should we allocate our resources in a way that is
useful for the Movement?*
From that starting point, we began working with external partners to
improve our understanding of what is changing in the information ecosystem.
Among others, we exchanged with the AI research ecosystem in Switzerland
(e.g., IDSIA - Dalle Molle Institute for Artificial Intelligence of Lugano)
and, together with input from Open Future, we converged on a simple idea:
instead of debating AI only through the lens of “editing with AI tools”, we
should widen the circle and ask experts from outside the Movement what they
see coming — and what it could mean for a knowledge commons like Wikimedia.
That led to the Lausanne roundtable: a deliberately “cross-ecosystem”
discussion with people working in areas such as AI development and data
science, journalism and media, research, and public-interest policy,
alongside people from the Wikimedia ecosystem. The goal was not to produce
a single answer, but to map the key tensions and update our collective
assumptions about the near future — and to do it in a way that is
transparent and shareable with the wider community.
The report summarises those insights and frames the emergence of a “new
knowledge loop”, in which AI services increasingly become interfaces to
knowledge. One concern raised is disintermediation: Wikimedia content can
be heavily used by machines while fewer humans visit Wikimedia projects
directly — with potential consequences for participation, feedback loops,
and long-term sustainability. At the same time, the report argues there is
no “going back”: AI influence is not avoidable, and the open question is
how collective intelligence and AI can be combined while keeping Wikimedia
human-centred.
A quick note on intent and framing: this is a *civic sensemaking* effort.
It is not a proposal to restrict open access for people, and it is not an
attempt to tell the Movement what to do. The underlying question is: *how
do we keep the commons open and accessible to everyone, while making its
large-scale reuse sustainable and accountable?* In other words, how do we
avoid a future where knowledge remains technically “open” but becomes
practically concentrated behind a few AI interfaces?
This report is also meant as a first step. There is the plan to develop a
draft white paper in 2026, building on these insights, to outline possible
strategic directions and reactions — not only for WMCH, but as a
contribution that other communities, affiliates, and interested Wikimedians
can critique, improve, and build on.
Links:
- Meta page (context + deliverables):
https://meta.wikimedia.org/wiki/Wikimedia_CH/Innovation/CI_vs_AI#Deliverabl…
- PDF on Commons:
https://commons.wikimedia.org/wiki/File:Wikimedia_CH_REPORT_AI_v4_web.pdf
Feedback is very welcome.
--
Ilario Valdelli
Innovation programme lead
Wikimedia CH
Verein zur Förderung Freien Wissens
Association pour l’avancement des connaissances libre
Associazione per il sostegno alla conoscenza libera
http://www.wikimedia.ch
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The Digital Democracy Score (DDS) launched: A Tool for Measuring Digital
Democracy
The EU research project INNOVADE project has released a prototype of a
new tool for measuring digital democracy: the Digital Democracy Score
(DDS). The tool uses survey questions to calculate a series of digital
democracy scores, visualises the results, and provides tailored
recommendations. The DDS is designed as a support tool for anyone who
uses or operates digital democracy technologies, from local to national
and transnational contexts.
Depending on the functionalities of the digital democracy initiative
being assessed, the tool calculates various scores and combines them
into an overall Digital Democracy Score (DDS) ranging from 0 (very low)
to 100 (very high).
The INNOVADE project will host two free online training workshops to
introduce and explain the DDS:
Tuesday, 24 February 2026, 10:00 CET - 11:00 CET
Wednesday, 4 March 2026, 10:00 CET - 11:00 CET
Registration is possible here:
https://bit.ly/digds
More information:
https://innovade-democracy.eu/news/digital-democracy-score
Hello Wiki Researchers and Friends,
I am so thrilled on behalf of myself and my co-chair Kristina Gligoric to
announce that the CfP for Wiki Workshop 2026 is posted! This annual virtual
gathering of the wiki research community is not to be missed. You can view
the CfP below, or onwiki at
https://meta.wikimedia.org/wiki/Wiki_Workshop/Submit. If you are so
inclined, please share the CfP widely and forgive any cross-posting.
Submissions are due January 23 this year.
-Kaylea & Kristina
Research Co-Chairs, Wiki Workshop 2026
--------
*Come celebrate Wikipedia’s 25th birthday with us by sharing your Wikimedia
and Wikipedia related research and insights with the Wikipedia research
community.*
We invite contributions to the Research Track of the 13th edition of Wiki
Workshop, which will take place virtually on *March 25-26, 2026* as a 2-day
standalone event.
The Wiki Workshop is the largest Wikimedia research event of the year,
aimed at bringing together researchers who study all aspects of Wikimedia
projects (including, but not limited to, Wikipedia, Wikidata, Wikimedia
Commons, Wikisource, and Wiktionary) as well as Wikimedia developers,
affiliate organizations, and volunteer editors. Possible tools and topics
for study are very broad, ranging from humanistic modes of inquiry to
social scientific analyses to computational sciences and AI.
Co-organized by the Wikimedia Foundation’s Research team and members of the
Wikimedia research community, the workshop provides a direct pathway for
exchanging ideas between the organizations that serve Wikimedia projects
and the researchers actively studying them.
- Submissions are non-archival, meaning *we welcome ongoing, completed,
and already published work*.
- We accept submissions in the form of *2-page extended abstracts*.
- Authors of accepted abstracts will be invited to present their
research in a pre-recorded oral presentation, with dedicated time for live
Q&A on the days of the event.
- Accepted abstracts will be shared on the website prior to the event.
Building on the successful experiences of organizing Wiki Workshop in 2015
<https://wikiworkshop.org/2015>, 2016 <https://wikiworkshop.org/2016>, 2017
<https://wikiworkshop.org/2017>, 2018 <https://wikiworkshop.org/2018>, 2019
<https://wikiworkshop.org/2019>, 2020 <https://wikiworkshop.org/2020>, 2021
<https://wikiworkshop.org/2021>, 2022 <https://wikiworkshop.org/2022>, 2023
<https://wikiworkshop.org/2023>, 2024 <https://wikiworkshop.org/2024/>, 2025
<https://wikiworkshop.org/2025> and based on feedback from authors and
participants over the years, this year’s Research Track is organized as
follows:
Important Dates
- Submission deadline: January 23, 2026 (23:59 AoE
<https://en.wikipedia.org/wiki/Anywhere_on_Earth>)
- Author notification: February 20, 2026
- Final version due (Note: you will upload a pre-recorded video
presentation and final version of your abstract): March 6, 2026 (23:59
AoE <https://en.wikipedia.org/wiki/Anywhere_on_Earth>)
- Workshop date: March 25-26 2026
Submission Instructions
Wiki Workshop accepts extended abstracts (PDF format, maximum 2 pages).
Submissions that exceed the 2-page limit will be automatically rejected.
Authors may include 1 additional page containing references, figures,
and/or tables (including captions) only. Initial submissions require names
and affiliations of authors, 5 keywords, a title, an abstract, and a main
text outlining the contribution, methods, findings, and impact of the work,
whichever is relevant. Submissions will be non-archival and, as a result,
may have already been published, under review, or ongoing research. All
submissions will be reviewed by multiple members of the Wiki Workshop
Program Committee. The names of the authors will be revealed to the
reviewers, whereas reviewers will remain anonymous to the authors.
Please review our Privacy Statement
<https://foundation.wikimedia.org/wiki/Legal:Wiki_Workshop_Privacy_Statement>
before submitting your abstract to OpenReview.
- Template for submissions
<https://gitlab.wikimedia.org/repos/research/wikiworkshop-templates>
- Submission site
<https://openreview.net/group?id=wikimedia.org/Wiki_Workshop/2026/Research_T…>
on OpenReview
*Issues with OpenReview submissions?*
In order to submit an extended abstract, corresponding authors need to have
an account on OpenReview (How to sign up
<https://docs.openreview.net/getting-started/creating-an-openreview-profile/…>).
We strongly suggest using an academic or institutional e-mail as part of
the sign-up process. If you are not affiliated with an academic institution
(e.g. as independent or industry researcher
<https://docs.openreview.net/getting-started/frequently-asked-questions/i-am…>),
activation of your profile might take up to two weeks due to moderation by
OpenReview. If you are having issues with your account setup,, please do
not hesitate to reach out to the PC chairs. (see below for contact
details).
Topics
Wiki Workshop aims to have a broad technical program inclusive of many
academic fields and disciplines. Topics include, but are not limited to:
*AI and Information Ecosystems*
- The impact of AI on Wikimedia: Research on ways to measure and
understand the impact that the use of AI has on Wikipedia and the knowledge
commons over time;
- The impact of Wikimedia on AI: Conversely, measuring and understanding
the impact of Wikipedia on AI, including measuring the value of Wikipedia
for AI, methods for source attribution, and studies of AI tool use that
leverages Wikimedia projects;
- Innovative uses of Wikipedia, other Wikimedia projects, and Knowledge
Commons for AI and NLP applications, as well as AI tools for improving
these projects;
- The interplay between Wikimedia projects and the broader (open)
knowledge ecosystem including interactions with other online platforms;
- Examination of content reuse dynamics within and beyond Wikimedia
projects;
- Innovative uses of Wikimedia projects as indicators for real-world
events, cultural trends, technological or scientific advancements, and
beyond;
*Community Participation*
- Community health questions including sentiment analysis, harassment
detection, and tools that enhance community harmony;
- Dynamics of participation, including activation, retention, and
attrition of various Wikimedia users and audiences;
- Strategies and models to engage new editors through improvements to
onboarding experiences;
- Understanding the motivations, engagement models, incentives, and
needs of Wikimedia editors, readers, and developers of Wikimedia projects;
- Approaches to discussions, consensus-building, and conflict resolution
in editorial decision-making;
- New methods and AI models to engage new generations of editors with
guided mentorship or workflows;
*Content Creation and Quality*
- New technologies and initiatives to grow content, quality, equity, and
diversity across Wikimedia projects;
- Innovative use of AI models to support editors in identifying and
automating repetitive tasks that could be easily automated (such as
copyediting);
- Techniques for detecting low-quality, promotional, or fake content
(misinformation or disinformation), and identifying fake accounts or bad
actors (e.g., sock puppets);
*Content Sources, Biases and Gaps*
- Investigation in content bias and knowledge gaps, and strategies for
addressing them on Wikimedia projects;
- Structural elements generating or ameliorating knowledge gaps in open
content systems;
- Exploration of diverse source incorporation into Wikimedia projects,
such as oral histories, video, and others;
- Understanding and improving the representation of “local content”
(geography, cultural context, or history) relevant to different communities;
- Multilingual and multimodal analysis of Wikimedia projects;
*Cultures and Communities*
- Efforts to improve the representation of endangered and marginalized
languages and cultures;
- Incorporation of cultural heritage material (GLAM);
- Representation of systems of knowledge and discursive patterns;
*Education*
- Strategies for leveraging Wikimedia projects in media literacy
interventions, including AI literacy;
- Impact assessments of Wikimedia-based educational initiatives;
*Governance and Policy*
- Policies, guidelines, and norms influencing the governance of
Wikimedia projects, including with the use of AI as a facilitator;
- Understanding core content policies of Wikipedia in action (e.g.,
Neutral Point of View)
- Privacy, security, and trust related to content creation, maintenance,
and consumption;
- Understanding peer production mechanisms of Wikimedia projects;
*Research Tools and Methods*
- Open-source research code, datasets, and tools supporting
Wikimedia-related research;
- Research that develops new datasets and models by leveraging or
improving Wikimedia-related artifacts.
- Methods for separating bot/AI versus human behavior in open knowledge
platforms such as Wikipedia;
Contact
For questions, send an email to wikiworkshop(a)googlegroups.com with the tag
[Research Track] in the subject line.
*Research Track Program Committee chairs:*
- *Kaylea Champion (University of Washington Bothell)*
- *Kristina Gligoric (Johns Hopkins University)*
--
Dr. Kaylea Champion (she/her)
Assistant Professor, Computing & Software Systems
School of STEM, University of Washington | Bothell
Community Data Science Collective, http://www.communitydata.science
Hi everyone,
Come join us to celebrate research, researchers, and the work behind the
scenes that has shaped Wikipedia and free knowledge for 25 years 🎂 🎉
When: Thursday, January 22, 2026
Where: Virtually on Zoom
Register here:
https://wikimedia.zoom.us/meeting/register/B60EYMKCQ7q907emacFhWQ
What to expect:
- Behind the Research Stories: Short, personal, story-driven talks from
members of our community
- Wiki Research Trivia with chances to win fun Wiki gifts 🏆
- Informal time to connect: Share your favorite memories or hopes for
Wikimedia research
Want to get into the 25th birthday spirit? There are fun video call
backgrounds and digital swag you can use! Check them out here:
https://meta.wikimedia.org/wiki/Wikipedia_25/Celebration_toolkit#Digital_sw…
🎈
If you have any questions, feel free to reach out. Otherwise, come ready to
have fun, celebrate, and connect with the community!
Looking forward to seeing many of you tomorrow!
Best,
Kinneret
Hi everyone,
Today we’re marking *Wikipedia’s 25th birthday* 🎉 We just wrapped up the
Global Community Birthday Party[1] and we’d love to continue that momentum
with a moment dedicated specifically to the *Wikimedia Research community*.
Next Thursday, we’re hosting a special edition of the* Research
Showcase* focused
on celebrating *research, researchers, and the behind-the-scenes work* that
has shaped Wikipedia and free knowledge over the past 25 years. This
showcase is different from any other: it’s a space for the research
community to come together, reflect, and celebrate our shared contributions
and curiosity.
If you haven’t registered yet, this is a friendly reminder to join us for
the celebration.
The program includes:
- Short, personal “behind the research” stories from members of the
Wikimedia Research community
- Wiki game with a chance to win some fun merch
- Time to connect with fellow researchers and share memories or hopes
for the future of Wikimedia research
*When: *Thursday, January 22, 2026
*Where:* Virtually, on Zoom
*Register here:*
https://wikimedia.zoom.us/meeting/register/B60EYMKCQ7q907emacFhWQ
<https://www.google.com/url?q=https://wikimedia.zoom.us/meeting/register/B60…>
Please feel free to share this invitation with colleagues, collaborators,
or students who are part of (or curious about) the Wikimedia Research
community.
Hope to see you there,
Kinneret
[1] https://www.youtube.com/live/C5rPmv27YzY
--
Kinneret Gordon
Lead Research Community Officer
Wikimedia Foundation <https://wikimediafoundation.org/>
*Learn more about Wikimedia Research <https://research.wikimedia.org/>*
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