Pursuant to prior discussions about the need for a research
policy on Wikipedia, WikiProject Research is drafting a
policy regarding the recruitment of Wikipedia users to
participate in studies.
At this time, we have a proposed policy, and an accompanying
group that would facilitate recruitment of subjects in much
the same way that the Bot Approvals Group approves bots.
The policy proposal can be found at:
http://en.wikipedia.org/wiki/Wikipedia:Research
The Subject Recruitment Approvals Group mentioned in the proposal
is being described at:
http://en.wikipedia.org/wiki/Wikipedia:Subject_Recruitment_Approvals_Group
Before we move forward with seeking approval from the Wikipedia
community, we would like additional input about the proposal,
and would welcome additional help improving it.
Also, please consider participating in WikiProject Research at:
http://en.wikipedia.org/wiki/Wikipedia:WikiProject_Research
--
Bryan Song
GroupLens Research
University of Minnesota
Subject: Can I have a Wikipedia article written about me?
Good day from Singapore,
Can I have a Wikipedia article written about me?
I am looking forward to your reply.
Thank you.
Regards,
Mr. Turritopsis Dohrnii Teo En Ming
Targeted Individual in Singapore
27 July 2022 Wed
Blogs:
https://tdtemcerts.blogspot.comhttps://tdtemcerts.wordpress.com
Hello,
We are enthusiastic to announce that we will open the next request
for proposals to the Research Fund in the coming months. We encourage you
to review the Meta page [1] for general information about the Fund,
eligibility criteria, and previous submissions and begin planning your
proposals. Stay tuned for further instructions, office hour dates, and an
announcement of the first round of grantees. You can reach out to
research_fund(a)wikimedia.org with questions.
Best,
Emily, on behalf of the Research Fund Organizing Committee
[1]
https://meta.wikimedia.org/wiki/Grants:Programs/Wikimedia_Research_%26_Tech…
--
Emily Lescak (she / her)
Senior Research Community Officer
The Wikimedia Foundation
Hi all,
If you interact with the Wikimedia Foundation's Research team [1] or
rely on some of the services that we offer to the Wikimedia research
community, I'd like to share an update with you regarding a change on
our team's end for the period of July 2022 until June 30, 2023 in
terms of how we invest our time on the Wikimedia Research Community
front.
==Context for the change==
We want to build a course that can help researchers (or potential
future researchers) learn how to contribute their research expertise
to the Wikimedia research community and Wikimedia Movement most
effectively and joyfully. :) Developing the course material will
require significant time investment from our small team. As a result,
we are pausing a couple of the existing team initiatives/activities or
are reducing time investment on some fronts. We may pause or lower
time investments on some other fronts as we progress towards
developing the course.
==What are we changing?==
1. We are pausing Monthly Research Office Hours [2] for 6 months with
a possibility of extending the pause to 12 months. Emily Lescak, our
senior Research Community Officer, had iterated over the format of the
office hours and we were looking forward to launching with the new
format in August. We will pick up experimenting with the changes that
she had planned once we start investing in this space again. :)
2. We are going to reduce our public speaking work (talks, tutorials,
keynotes, ...) and we may reduce some of the research community
service work we normally offer unless we have already committed to
them (PC member, track chair or PC chair roles and responsibilities,
etc.). We may continue doing the research service work in our
volunteer time.
3. We will be generally more conservative for picking up new
initiatives or actions/activities for our team.
==What will not change in the coming 6 months?==
* We are continuing to invest on three programs that our team has led
over the years: Address Knowledge Gaps, Improve Knowledge Integrity,
and Building the Foundations. [3]
* On the Research Community front, our team is currently planning to
continue to maintain these initiatives/activities:
** Research Fund
** WMF Research Award of the Year
** Wiki Workshop
** Monthly Research Showcases
** bi-annual Research Report
** Formal Collaborations program and mentoring interns
==Should you expect more changes in our services for you?==
We may need to reduce investments on more fronts. We will be able to
say this more accurately after we make some progress towards
developing the course. If we make some relatively major choices in
terms of time investment, we intend to continue notifying you through
this mailing list.
As a general approach: If there is a need for further prioritization
of activities, we will continue pausing or reducing time investment
considering the impact on the Wikimedia Research community as well as
estimated time needed for doing the activity.
==How can I be involved in developing the course?==
Thank you for considering joining forces on this front! :) Please
write to Emily Lescak (cc-ed) with your proposal about contributing to
the development of the course. We will reach out to you based on the
specifics of your proposal and the needs of the course.
And of course, there will be a page on MetaWiki about the course once
we know slightly more than "we want to develop a course".
==What we can look forward to?==
For years we have discussed developing a clear entry point for
researchers to learn how to contribute research to the Wikimedia
projects. We have done some initiatives within our team and in
collaborations with other teams: developing tutorials for the
resources that researchers can use, offering office hours to help
folks get started, investing in documentation, Research Funds, and
more. The course can act as a unifying effort or a force-multiplier
that can help us reach to more researchers from across the globe with
more diverse backgrounds and experiences and show them the possibility
and joy of contributing research to the Wikimedia projects.
If you have questions about this prioritization, you can reach out to
me directly or write on this thread.
Best,
Leila
[1] https://research.wikimedia.org/team.html
[2] https://www.mediawiki.org/wiki/Wikimedia_Research/Office_hours
[3] https://research.wikimedia.org/projects.html
--
Leila Zia
Head of Research
Wikimedia Foundation
Hi all,
The next Research Showcase, featuring the recipients of this year's
Wikimedia Foundation Research Awards of the Year, will be live-streamed
Wednesday, July 20, at 9:30 AM PST/16:30 UTC. Find your local time here
<https://zonestamp.toolforge.org/1658334607>.
YouTube stream: https://www.youtube.com/watch?v=KMvXOQU5fX4
<https://www.youtube.com/watch?v=KMvXOQU5fX4>
You are welcome to ask questions via YouTube chat or on IRC at
#wikimedia-research.
This month's presentations:
Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine
LearningBy *Krishna Srinivasan (Google)*The milestone improvements brought
about by deep representation learning and pre-training techniques have led
to large performance gains across downstream NLP, IR and Vision tasks.
Multimodal modeling techniques aim to leverage large high-quality
visio-linguistic datasets for learning complementary information across
image and text modalities. In this talk, I introduce the Wikipedia-based
Image Text (WIT) Dataset to better facilitate multimodal, multilingual
learning. WIT is composed of a curated set of 37.5 million entity rich
image-text examples with 11.5 million unique images across 108 Wikipedia
languages.
WIT’s unique advantages include: WIT is the largest multimodal dataset by
the number of image-text examples by 3x (at the time of writing). WIT is
massively multilingual (first of its kind) with coverage over 100+
languages. WIT represents a more diverse set of concepts and real world
entities relative to what previous datasets cover.
WIT Dataset is available for download and use via a Creative Commons
license here: https://github.com/google-research-datasets/wit
I conclude the talk with future directions to expand and extend the WIT
dataset. Link to paperː https://arxiv.org/pdf/2103.01913.pdf
Assessing the Quality of Sources in Wikidata Across LanguagesBy *Gabriel
Amaral (King's College London)*Wikidata is one of the most important
sources of structured data on the web, built by a worldwide community of
volunteers. As a secondary source, its contents must be backed by credible
references; this is particularly important as Wikidata explicitly
encourages editors to add claims for which there is no broad consensus, as
long as they are corroborated by references. Nevertheless, despite this
essential link between content and references, Wikidata’s ability to
systematically assess and assure the quality of its references remains
limited. To this end, we carry out a mixed-methods study to determine the
relevance, ease of access, and authoritativeness of Wikidata references, at
scale and in different languages, using online crowdsourcing, descriptive
statistics, and machine learning. The findings help us ascertain the
quality of references in Wikidata, and identify common challenges in
defining and capturing the quality of user-generated multilingual
structured data on the web. Link to paperː
https://dl.acm.org/doi/abs/10.1145/3484828
You can also watch our past research showcases here:
https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase
Emily, on behalf of the Research team
--
Emily Lescak (she / her)
Senior Research Community Officer
The Wikimedia Foundation
[Apologies for cross-postings]
Final Call for Applications to the Doctoral Programme
Deadline 15. July 2022
15th Conference on Intelligent Computer Mathematics
- CICM 2022 -
September 19-23, 2022
Tbilisi, Georgia (hybrid event)
http://www.cicm-conference.org/2022
--------------------------------------------------------------------------------
Digital and computational solutions are becoming the prevalent means
for the generation, communication, processing, storage and curation of
mathematical information.
CICM brings together the many separate communities that have developed
theoretical and practical solutions for mathematical applications such
as computation, deduction, knowledge management, and user interfaces.
It offers a venue for discussing problems and solutions in each of
these areas and their integration.
CICM 2022 Invited Speakers:
* Erika Abraham (RWTH Aachen University)
* Deyan Ginev (FAU Erlangen-N��rnberg and NIST)
* S��bastien Gou��zel (IRMAR, Universit�� de Rennes 1)
CICM 2022 Programme committee:
see https://www.cicm-conference.org/2022/cicm.php?event=&menu=pc
The Doctoral Programme provides a dedicated forum for PhD students to
present and discuss their ideas, ongoing or planned research, and
achieved results in an open atmosphere. It will consist of
presentations by the PhD students to get constructive feedback,
advice, and suggestions from the research advisory board, researchers,
and other PhD students. Each PhD student will be assigned to an
experienced researcher from the research advisory board who will act
as a mentor and who will provide detailed feedback and advice on their
intended and ongoing research.
Application
Students at any stage of their PhD can apply and should submit the
following documents:
* A two-page abstract of your thesis describing your research
questions, research plans, completed and remaining research,
evaluation plans and publication plans;
* A two-page CV that includes background information (name,
university, supervisor), education (degree sought, year/status of
degree, previous degrees), employments, relevant research experience
(publications, presentations, attended conferences or workshops,
etc.)
- Deadline: July 15, 2022 (not a cut-off time and late submissions may still be considered)
- Notification of acceptance: July 29, 2022
All submissions should be made via EasyChair at
https://easychair.org/conferences/?conf=cicm2022