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
*** Kinship Structures, Dynamics, and Inequalities ***
Website: https://www.demogr.mpg.de/en/news_events_6123/calendar_1921/kinship_structu…
International Union for the Scientific Study of Population (IUSSP) Scientific Panel on Kinship Structures, Dynamics and Inequalities
Max Planck Institute for Demographic Research (MPIDR), June 08-09, 2026
Scope
Family structures, broadly defined, have experienced radical changes around the globe. This conference will bring together scholars from various disciplines to consider how large-scale sociodemographic shifts reshape family systems within and beyond the household and how these changes contribute to, reproduce, or mitigate social and economic inequality. Whereas family research has long centered on partnerships and co-residential nuclear kin, studies of kinship emphasize the often-overlooked importance of extended and non-co-resident relatives such as grandparents, siblings, aunts, uncles, cousins, and other 'chosen kin.'
We invite contributions that address topics including (but not limited to):
* Kin availability, inequality, and geographic distribution of kin
* Kin relations over the life course
* Caregiving, resource exchanges, and intergenerational transfers
* Bereavement and health from a kinship perspective
* Policy responses to kin availability
* Non-biological and fictive kinship
* LGBTQ+ kinship
* Innovative data, methods, and theoretical frameworks to study kinship
Submission Guidelines
Submissions must include a two-page extended abstract in PDF format. Abstracts should outline clearly the project title, authors' name(s), affiliation(s), contact information of the presenting author, research question, data/methods, and expected contribution.
Please submit your work via survey<https://survey.demogr.mpg.de/index.php/349398> by 21 January 2026. The selected submissions will be invited for an oral or poster presentation at the conference. Presenting authors are expected to register by 10 March to confirm their intention to attend and present.
There are no registration fees, and the organizers will provide a limited number of grants to cover travel and/or accommodation.
Important Dates
* Submission Deadline: January 21, 2026
* Notification of acceptance: February 10, 2026
* Registration Deadline: March 10, 2026
* Program release: May 18, 2026
* Symposium Dates: June 8-9, 2026
Organizers and Funders
International Union for the Scientific Study of Population (IUSSP) Scientific Panel on Kinship Structures, Dynamics and Inequalities; Max Planck Institute for Demographic Research (MPIDR); New York University (NYU) Abu Dhabi; the Pennsylvania State University, Collaborative on Population Aging Disparities; and the National University of Singapore.
The organizing committee includes the following individuals from the MPIDR: Saroja Adhikari, Diego Alburez-Gutierrez, Andrea Colasurdo, Sha Jiang, Amanda Martins, and Elena Pojman. Organizers also include the following members of the steering committee of the IUSSP Panel on Kinship Structures, Dynamics and Inequalities: Bettina Hünteler (German Institute for Economic Research, DIW Berlin), Luca Maria Pesando (NYU Abu Dhabi), Bussarawan Teerawichitchainan (National University of Singapore), and Ashton Verdery (Pennsylvania State University).
Call for Papers
Kinship Structures, Dynamics, and Inequalities<https://www.demogr.mpg.de/mediacms/25522_main_20251029_Kinworkshop_call%20f…> (PDF File, 136 kB)
Contact
kinship(a)demogr.mpg.de<mailto:kinship@demogr.mpg.de>.
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*** apologies for cross-postings ***
The Max Planck – University of Helsinki Center for Social Inequalities in Population Health<http://www.demogr.mpg.de/en/research_6120/social_demography_myrskylae_11664…> is currently seeking to appoint one or more full-time post-doctoral researchers. We welcome applications from researchers with a PhD in demography, sociology, statistics, epidemiology, public health, biology, anthropology, economics, computer science, and allied fields. The successful candidate(s) will work on the role of genetic factors in shaping health inequalities, and/or they will develop novel techniques for leveraging genetic data. We are also open to applicants interested in the other research themes of the Center (family and health, health inequalities in an international perspective), and in other topics covered in the Department Social Demography<https://www.demogr.mpg.de/en/research_6120/social_demography_myrskylae_11664> at the Max Planck Institute for Demographic Research<http://www.demogr.mpg.de/en> (MPIDR), including fertility, mortality and morbidity, and labor markets. The successful candidate(s) will develop their own agenda within the Center, and they will contribute their skills and knowledge to other projects in the Center and to the MPIDR. We are seeking creative, self-driven, and collaborative scholars. Advanced knowledge of quantitative methods and statistical software such as R, Python, or Stata is required.
More information can be found here<https://www.demogr.mpg.de/en/career_6122/jobs_fellowships_1910/postdoc_posi…>.
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*** apologies for cross-postings ***
The Max Planck Institute for Demographic Research (MPIDR) is seeking to appoint a full-time post-doctoral researcher or statistical analyst to join the Max Planck Research Group Reproductive Ageing led by Susie Lee<https://www.demogr.mpg.de/en/about_us_6113/staff_directory_1899/susie_lee_4…>.
The Group studies reproductive ageing - an age-related change in reproductive function - in social contexts, with a goal to better understand the causes and consequences of reproductive ageing from a demographic perspective. Due to its implications for fertility and health, reproductive ageing is integral to population processes such as late childbearing and post-reproductive lifespan. The Group will combine social theories such as demographic transition, life course approach, and social determinants of health, with the emerging biological theory linking reproductive ageing to the broader ageing process, to generate novel evidence for reproductive ageing. Various indicators of reproductive ageing, ranging from pubertal timing, infertility, menopause, to age at last birth, collected across different populations, will be analysed.
More information can be found here<https://www.demogr.mpg.de/en/career_6122/jobs_fellowships_1910/postdoc_rese…>.
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The WMF makes available a dump of the search indices from CirrusSearch (the
MediaWiki extension that provides search functionality on WMF wikis) on a
weekly basis. These have been running for many years, but sadly have been
getting slower and slower over time as the relevant datasets have grown. A
few months ago we got to the point where sometimes a weekly dump takes more
than a week to generate. As such we've reworked these dumps to generate in
a slightly different manner.
You can reach out to us if there are difficulties migrating to the
replacement dumps. The best place to provide feedback will be in
https://phabricator.wikimedia.org/T366248.
Changes:
* Old dumps location: https://dumps.wikimedia.org/other/cirrussearch/
* New dumps location: https://dumps.wikimedia.org/other/cirrus_search_index/
* The new dumps are bzip2 compressed, while the old ones were gzip.
* Old dumps were one file per search index. New dumps are one directory per
search index. A directory may have one or more files.
* The content of the files is exactly the same. It's just split across
multiple files for ease of generation.
* The old files can be recreated locally, if needed, by concatenating the
decompressed versions. Something like `bzcat *.json.bz2 > full-dump.json`
We will continue producing the old dumps through November, expecting to
shut them off before the end of the year.
Erik Bernhardson
Search Platform
Hi all,
The Research team at the Wikimedia Foundation has officially started a new
Formal Collaboration [1] with Akhil Arora and Ankita Maity from Aarhus
University (cc'ed) to work collaboratively on Understanding the use of
maintenance templates [2]. We are thankful to them for agreeing to spend
their time and expertise on this project in the coming year.
Here are a few pieces of information about this collaboration that we would
like to share with you:
* We aim to keep the research documentation for this project in the
corresponding research page on meta.[2]
* Research tasks are hard to break down and track in task-tracking
systems. This being said, the page on meta is linked to an Epic level
Phabricator task and all tasks related to this project that can be captured
on Phabricator will be captured there.[3]
* I act as the point of contact for this research in the Wikimedia
Foundation. Please feel free to reach out to me (directly, if it
cannot be shared publicly) if you have comments or questions about the
project.
Best,
Martin
[1] https://www.mediawiki.org/wiki/Wikimedia_Research/Formal_collaborations
[2]
https://meta.wikimedia.org/wiki/Research:Understanding_the_use_of_maintenan…
[3] phabricator.wikimedia.org/T408523
--
Martin Gerlach (he/him) | Senior Research Scientist | Wikimedia Foundation
Hi everyone,
There will be no Research Showcase in November.
In December, we will host a special panel on *Experimentation on Wikipedia*.
Date: Wednesday, December 10, 17:30 UTC (find your local time here
<https://zonestamp.toolforge.org/1765387800>).
In January, we will celebrate *25 Years of Wikipedia and the Research
Behind It*. This will be more of a gathering than a showcase, and a chance to
celebrate our collective work and connections from across the Wikimedia
research community.
Date: Thursday, January 22, 17:30 UTC (find your local time here
<https://zonestamp.toolforge.org/1769103000>)
More information about both events will be shared soon and will be
available on the Research Showcase page
<https://www.mediawiki.org/w/index.php?title=Wikimedia_Research%2FShowcase&w…>
.
Looking forward to connecting with many of you in these events.
Best,
Kinneret
--
Kinneret Gordon
Lead Research Community Officer
Wikimedia Foundation <https://wikimediafoundation.org/>
*Learn more about Wikimedia Research <https://research.wikimedia.org/>*
Hello everyone,
We’re excited to announce the re-launch of the *Wikimedia Research Fellows
Program*.
Our team has had a research fellow for several years, but following
internal discussions and feedback from the community, we wanted to
formalize the program and make it more accessible. This re-launch allows us
to clarify expectations, publicize the program widely, and ensure
transparency for all applicants.
The program supports early-career researchers who want to make Wikimedia
projects a sustained focus of their research work. Fellows receive
mentorship, opportunities to contribute to high-impact areas of the
Wikimedia movement, and a platform to connect their research with
real-world challenges. We welcome applications from researchers across
disciplines and regions and applications are reviewed on an ongoing basis.
Learn more and apply here:
https://www.mediawiki.org/wiki/Wikimedia_Research/Wikimedia_Research_Fellow…
.
If you have any questions or feedback, please get in touch with us at
research-wmf(a)lists.wikimedia.org or on the discussion page of the program's
public page.
Warm regards,
Kinneret
--
Kinneret Gordon
Lead Research Community Officer
Wikimedia Foundation <https://wikimediafoundation.org/>
*Learn more about Wikimedia Research <https://research.wikimedia.org/>*
Seconding Galder in bringing this important research finding to wider
attention (CCing the Wiki-research list as well).
If I may, we also just covered this in the new Signpost with some
additional context and detail that some here might find interesting:
"Wikimedia Foundation reports 8% traffic drop since last year due to 'the
impact of generative AI and social media'"
<https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2025-10-20/In_th…>
.[1]
As mentioned there, the problem of quantifying the impact of generative AI
on Wikipedia readership has already attracted considerable attention by
academic researchers in the almost three years since ChatGPT launched. I
even think it's safe to say that many might regard it as one of the most
important research questions about Wikipedia and AI currently.[2]
However, the academic research publications about this - admittedly
difficult - topic have been a bit of a mixed bag so far
<https://meta.wikimedia.org/wiki/Research:Newsletter/2025/March#So_again,_wh…>.
(Even what I would regard as the best paper among these, which Mako and I
also chose to highlight in our annual "State of Wikimedia Research
2024-2025" talk at Wikimania this year, still has some potential statistical
shortcomings
<https://en.wikipedia.org/wiki/Wikipedia_talk:Wikipedia_Signpost/2025-03-22/…>.
And I am not aware of much peer-reviewed insight that goes beyond
the early-years ChatGPT.)
So it's great to see that the Wikimedia Foundation has now itself jumped
into this breach. It is evidently well positioned to do so. Not just
because it has potentially useful internal data that was not available to
the aforementioned external researchers (say referrer information
<https://wikitech.wikimedia.org/wiki/Data_Platform/Data_Lake/Traffic/Pagevie…>,
or now also the data derived from the unique reader cookies WMF introduced
earlier this year, which enable better but still relatively
privacy-friendly tracking of Wikipedia readers). But also e.g. because of
the foundational work <https://research.wikimedia.org/foundational.html> its
own researchers already did some years ago on "Detecting and Gauging Impact
on Wikipedia Page Views" (IMO a paper worth looking at for anyone
investigating such questions).
Unfortunately though, Marshall Miller's Diff post doesn't contain any
concrete information about the methodology used to causally attribute the
drop to those two factors, nor any links to further details. Can we expect
the underlying statistical analysis to be published soon? It would also be
interesting to know e.g. each factor's share in this 8% drop (is it say 7%
from AI vs. 1% from social media, or vice versa?) Or, to circle back a
little towards Galder's points, whether different Wikipedia languages were
affected differently, etc.
Regards, Tilman
[1[ Alongside a somewhat related story
<https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2025-10-20/In_th…>
about
a certain well-known US entrepreneur trying to replace Wikipedia with a new
AI-based encyclopedia, also mentioning some similar but less well-known
efforts.
[2] For some reason though, this central research question didn't make it
into the list
<https://meta.wikimedia.org/wiki/Artificial_intelligence/Bellagio_2024> of
research directions about the implications of AI for the knowledge commons
that was drafted at the February 2024 Bellagio symposium convened by the
Wikimedia Foundation. But as we heard recently on this mailing list
<https://lists.wikimedia.org/hyperkitty/list/wikimedia-l@lists.wikimedia.org…>,
the WMF research department is still working on getting a fuller
documentation of that event's outcomes ready for publication. (At that
point we will hopefully also see an attempt to solicit wider input on this
draft agenda, from other researchers and the editor community, the latter
appearing particularly relevant as the project's stated purpose is to
convey "vital questions volunteer contributors have raised"). And in any
case, it or some of its colleagues have evidently now tackled this research
question themselves.
On Mon, Oct 20, 2025 at 11:46 PM Galder Gonzalez Larrañaga <
galder158(a)hotmail.com> wrote:
> Dear wikimedians,
> I recommend reading the very interesting diff post by Marshall Miller
> about new user trends on Wikipedia:
> https://diff.wikimedia.org/2025/10/17/new-user-trends-on-wikipedia/. The
> post talks about two main trends affecting our views: AI summaries and
> video consumption by new generations. We don't have a good solution about
> the first one, but I would like to talk about the second one, because in
> the Basque Wikimedians User Group we have been working on this for some
> years now, and I think our experience can be part of the solution.
>
> Five years ago we detected this trend and saw that, while there was a rise
> on educative/informative videos for learning, those videos were mainly done
> in English or hegemonic languages. Students and teachers were using videos
> more than ever, but those videos weren't free nor in Basque. That's why we
> created the platform Ikusgela on wiki and external media channels (Wiki
> platform: https://eu.wikipedia.org/wiki/Atari:Hezkuntza/Ikusgela, other
> links to social media and video platforms there)
>
> After four years creating videos we have nearly 250 free educative videos
> in Basque, many of those subtitled in other languages. We cover topics from
> philosophy to evolution, from literature to basic science. And now we are
> publishing an average of 2 new videos per week. We are now working on two
> new series about migrations/rights and linguistics. The videos have
> received the highest award in the Basque Country for communications and are
> used now in education by teachers in many schools and MOOCs. More than 540
> articles in Wikipedia have a video from Ikusgela available, with many more
> to come this school year.
>
> Making good quality videos is expensive, and we are making this in our own
> with our funding and from competitive grants. However, once the videos are
> made, remaking those in other languages should be cheaper. Building the
> videos together is also cheaper than doing it alone. If your chapter or
> user group is interested on that, let me know and we can make things
> together.
>
> We, Basque Wikimedians, saw how this trend was coming and worked to take
> advantage from it, instead of seeing how it decreases our relevancy. I hope
> efforts from the WMF and other affiliates can go in the direction of
> multimedia soon.
>
> Best,
>
> Galder
>
> _______________________________________________
> Wikimedia-l mailing list -- wikimedia-l(a)lists.wikimedia.org, guidelines
> at: https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines and
> https://meta.wikimedia.org/wiki/Wikimedia-l
> Public archives at
> https://lists.wikimedia.org/hyperkitty/list/wikimedia-l@lists.wikimedia.org…
> To unsubscribe send an email to wikimedia-l-leave(a)lists.wikimedia.org
>
We are pleased to invite applications for a 4-year PhD position at the University of Hong Kong (HKU) and at the Max Planck Institute for Demographic Research (MPIDR). The position is jointly funded by the Faculty of Social Sciences/HKU Research Hub of Population Studies, and the Department of Digital and Computational Demography at MPIDR.
The University of Hong Kong is widely considered one of the top universities in Asia and in the world. The HKU Research Hub of Population Studies, launched by the Faculty of Social Sciences, aims to provide an understanding of local, national, regional, and international demographic patterns. The Hub focuses on multi-disciplinary research concerning various population-related issues and public policy, addressing the global needs for theoretical, methodological, and practical advancements in population and health research, building upon the expertise of academics across the Faculty of Social Science.
The Max Planck Institute for Demographic Research (MPIDR) is one of the world’s leading demographic research centres. Institute scientists advance fundamental research in areas related to migration, longevity, and fertility, and study issues of policy relevance, such as demographic change, aging, health, intergenerational transfers, as well as the digitalization of life.
Methodologically, they use novel data sources and advanced statistical and computational methods for understanding demographic dynamics. The MPIDR is part of the Max Planck Society, a network of more than 80 institutes that form Germany’s premier basic-research organization. Max Planck Institutes have an established record of world-class, foundational research in the sciences, technology, social sciences and the humanities. They offer a unique environment that combines the best aspects of an academic setting and a research laboratory.
This PhD position is an excellent opportunity for highly-motivated and qualified candidates who are interested in the opportunities offered by the best of both worlds: a world-class university in Asia, and top-notch research institute in Europe. Upon successfully completing the PhD position, the applicant will be awarded a degree from HKU, having gained significant experience in conducting demographic research abroad.
More information can be found on our website: https://www.demogr.mpg.de/en/career_6122/jobs_fellowships_1910/university_o…
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