Uncertain Reasoning (UR)
Special Track at
The 37th International FLAIRS Conference (FLAIRS-37)
In cooperation with the American Association for Artificial Intelligence
Miramar Beach, Florida, USA
May 18-21, 2024
Website: http://ur-flairs.github.io/2024/
Abstract submission deadline: February 4, 2024
Paper submission deadline: February 11, 2024
Notification: March 17, 2024
All accepted papers will be included in the FLAIRS proceedings published
by Florida Online Journals
Invited papers will be published in a special journal issue
=========================================================================
[[ Call For Papers ]]
The Special Track on Uncertain Reasoning (UR) is the oldest track in
FLAIRS conferences, running annually since 1996. The UR Special Track at
the 37th International Florida Artificial Intelligence Research Society
Conference (FLAIRS-37) is the 27th in the series. Like the past tracks,
UR seeks to bring together researchers working on broad issues related
to reasoning under uncertainty.
[ Topics of Interest ]
Papers on all aspects of uncertain reasoning are invited. Papers of
particular interest include, but are not limited to:
* Uncertain reasoning formalisms, calculi and methodologies
* Reasoning with probability, possibility, fuzzy logic, belief function,
vagueness, granularity, rough sets, and probability logics
* Modeling and reasoning using imprecise and indeterminate information,
such as: Choquet capacities, comparative orderings, convex sets of
measures, and interval-valued probabilities
* Exact, approximate and qualitative uncertain reasoning
* Probabilistic graphical models of uncertainty such as: Bayesian
networks, Markov random field, probabilistic circuits
* Multi-agent uncertain reasoning and decision-making
* Decision-theoretic planning and Markov decision process
* Temporal reasoning and uncertainty
* Non-monotonic reasoning
* Conditional Logics
* Argumentation
* Belief change and merging
* Similarity-based reasoning
* Ontologies and description logics
* Construction of models from elicitation, data mining and knowledge
discovery
* Uncertain reasoning in information retrieval, filtering, fusion,
diagnosis, prediction, situation assessment
* Uncertain reasoning in data management
* Practical applications of uncertain reasoning
* Learning probabilistic models
* Applications in computer vision and animation
[ Paper Submission and Publication ]
Submitted papers must be original, and not submitted concurrently to a
journal or another conference while under review.
Interested authors should format their papers according to FLAIRS-37
conference formatting guidelines. Papers should not exceed 6 pages (4
pages for a poster) and are due by February 11, 2024. The reviewing is a
double blind process. Author names and affiliations must be omitted on
submitted papers. Papers must be submitted as PDF through the EasyChair
conference system, which can be accessed through the main conference web
site (http://www.flairs-37.info/). Authors should indicate the Uncertain
Reasoning special track for submissions. All accepted papers will be
included in the proceedings of FLAIRS, which will be published by the
Florida Online Journals. FLAIRS requires that there be at least one full
author registration per paper.
Instructions on the submission procedure are available at the UR website:
http://ur-flairs.github.io/2024
We anticipate there will be a special issue devoted to extended versions
of selected papers at the track.
[ Important Dates ]
Abstract submission due: Feb. 4, 2024
Paper submission due: Feb. 11, 2024
Author Notification: Mar. 17, 2024
Special Track: May 18-21, 2024
[ Program Committee ]
Alessandro Antonucci (IDSIA, Switzerland)
Ofer Arieli (The Academic College of Tel-Aviv, Israel)
Christoph Beierle (FernUniversität in Hagen, Germany)
Salem Benferhat (University of Artois, France)
Nizar Bouguila (Concordia University, Canada)
Lluís Godo (University of Barcelona, Spain)
Christophe Gonzales (LIS, France)
Vladik Kreinovich (University of Texas at El Paso, US)
Nicholas Mattei (Tulane University, US)
Tommie Meyer (University of Cape Town, South Africa)
Arthur Paul Pedersen (The City College of New York, US)
Rafael Peñaloza Nyssen (University of Milano-Bicocca, Italy)
Kari Sentz (Los Alamos National Laboratory, US)
Carlo Taticchi (Università degli Studi di Perugia, Italy)
Choh Man Teng (Institute for Human and Machine Cognition, US)
[ Track Chairs ]
Tanya Braun University of Münster, Germany
Kai Sauerwald University of Hagen, Germany
[ Travel Information ]
Additional information on the conference locale and travel planning can
be found at http://www.flairs-37.info.
Hello (Semantic) MediaWiki users, maintainers, software developers, consultants, researchers!
The SMWCon in fall 2023 https://www.semantic-mediawiki.org/wiki/SMWCon_Fall_2023 will be held on location in Paderborn, Germany from December 11-13.
On three days there will be talks, tutorials and hackathons.
This conference addressed everybody interested in wikis and open knowledge, especially in Semantic MediaWiki, e.g. users, developers, consultants, business or government representatives, and researchers.
This conference aimed to:
* inspire/onboard new users,
* inform on where and how MediaWiki is used,
* convey and consolidate best practices,
* initiate/foster/integrate application and development and
* strengthen the community of stakeholders and its service portfolio.
Learn how to "do" MediaWiki in order to assume your responsibilities regarding your organization's knowledge management.
Please not that early-bird ticket sale ends today!
Call for Contributions
----------------------------
We are looking for use cases and best practices that provide insight in issues like
* How does AI change the way we use MediaWiki
* How do semantic wikis fit in and be combined with AI tools
* How can we use Semantic MediaWiki in research and organizations
* How do we develop and deploy MediaWiki and extensions
Your experience is valuable for all of us! So please share and propose a talk, tutorial or other contribution.
Go to the Conference Page (https://www.semantic-mediawiki.org/wiki/SMWCon_Fall_20223)
and hit the 'Propose a talk here' button.
Please propose a contribution if you plan to have one, even if you don't have the details yet. For us it is important to know what we can expect.
We look forward to your contribution!
Sponsoring
----------------
Thank you to the sponsors of SMWCon 2023!
* http://www.archixl.nl/ - Specialists in enterprise architecture, knowledge management, and semantics
* https://bluespice.com - The company behind BlueSpice, the open-source enterprise wiki software
* https://mywikis.eu - GDPR compliant (Semantic) MediaWiki hosting from the heart of Europe.
* https://wikibase-solutions.com/ - Specialist in business solutions with MediaWiki
Organization
------------------
The organizers of SMWCon 2023 and https://mwstake.org
* Bernhard Krabina, https://km-a.net (General Chair)
* Ad Strack van Schijndel, https://www.juggel.com (Program Chair)
* Tobias Oetterer, https://www.uni-paderborn.de/en/ (Local Chair)
***Apologies for cross-postings***
The Max Planck Institute for Demographic Research (MPIDR) is inviting applications from qualified and highly motivated students for a Summer Research Visit.
The goal of the Population and Social Data Science Summer Incubator Program is to enable discovery by bringing together data scientists and population scientists to work on focused, intensive and collaborative projects of broad societal relevance.
For a period of 3 months (June 3rd - August 23rd, 2024) participating students will work in small teams, with support from experienced mentors, towards a common research goal. For the summer of 2024, the focus of the program will be on three main areas:
* "Climate Change and Population Dynamics" mentored by Matt Hauer (Florida State University), Risto Conte Keivabu and Emilio Zagheni
* "Network and Gender Dynamics on Mobility and Migration" mentored by Aliakbar Akbaritabar, Jisu Kim and Daniela Perrotta
* "Estimation and Forecasting of Health Indicators in Data-scarce Contexts" mentored by Monica Alexander (University of Toronto), Ugofilippo Basellini and Irena Chen
Participating students will be exposed to best practices across the social sciences and data sciences while contributing to a hands-on project experience that will result in a scientific journal article. All participants will also have access to lectures and will be able to participate in other scientific activities taking place at the MPIDR.
Applicants must be enrolled in a doctoral, master's or undergraduate university program (at the time they visit the MPIDR). Selected candidates must obtain approval to participate in the program by their supervisor / administrator. The Incubator program values research teams that include early-career scientists from a range of disciplines and backgrounds, with complementary skill sets. Priority will be placed on bringing together a diverse pool of students. The total number of attendees will be defined based on resources and quality of applications. The mentors will provide seed projects and data ideas, with flexibility for students to put forward their own ideas as well.
Successful candidates will have demonstrated ability to work on research projects independently and in interdisciplinary teams, and an interest in research problems related to both data science and the social sciences, broadly defined.
Applications must be in English and submitted online via this survey<https://survey.demogr.mpg.de/index.php/682232?lang=en> and include the following documents in one single PDF:
1. Curriculum Vitae
2. Cover letter (Max 2 pages)
- Please state why you are interested in spending the summer at the MPIDR, and in which ways you would benefit from participating in the Incubator program.
-Please articulate your research interests and briefly describe a project you have worked on, the motivation for it and your contribution.
-Please describe your technical skills, as well as what you would like to learn over the course of the Summer visit.
3. Copies of academic transcripts for undergraduate and, if applicable, graduate education
4. Names and contact information for 2 academic referees (no recommendation letter is required at this step)
In order to receive full consideration, applications should be received by January 10th 2024. Notifications will be sent out by March 2024. This will be an in-person summer program, and students will be expected to be in residence at the MPIDR in Rostock for the period of the research visit and to devote most of their working time to the collaborative research project during that period. Selected students enrolled in a PhD program will be offered reimbursement for travel costs to/from Rostock, and a stipend. Selected students who are not enrolled in a PhD program will be offered reimbursement for travel costs to/from Rostock, lodging in Rostock, and a per diem.
The Max Planck Society values diversity and is keen to employ individuals from minorities.
We are committed to increasing the number of individuals with disabilities at our institutes and therefore encourage applications from such qualified individuals. Furthermore, the Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.
More information
You can find more information on previous program participants, projects and publication outcomes on the program webpage<https://www.demogr.mpg.de/en/research_6120/digital_and_computational_demogr…>.
In addition, please consult the FAQ document<https://www.demogr.mpg.de/en/research_6120/digital_and_computational_demogr…> for further detail.
For remaining administrative questions, please get in touch with Kathrin McCann (mccann(a)demogr.mpg.de<mailto:mccann@demogr.mpg.de>). For scientific questions please contact Risto Conte Keivabu [Climate change] (contekeivabu(a)demogr.mpg.de<mailto:contekeivabu@demogr.mpg.de?subject=Summer%20Incubator%20Program>), Daniela Perrotta [Mobility] (perrotta(a)demogr.mpg.de<mailto:perrotta@demogr.mpg.de?subject=Summer%20Incubator%20Program>) or Ugofilippo Basellini [Health] (basellini(a)demogr.mpg.de<mailto:basellini@demogr.mpg.de?subject=Summer%20Incubator%20Program>).
--
This mail has been sent through the MPI for Demographic Research. Should you receive a mail that is apparently from a MPI user without this text displayed, then the address has most likely been faked. If you are uncertain about the validity of this message, please check the mail header or ask your system administrator for assistance.
Hi everyone,
We’re preparing for the upcoming issue of the research newsletter (
https://meta.wikimedia.org/wiki/Research:Newsletter ) and looking for
contributors. If you are interested in reviewing or summarizing recently
published research for our audience of Wikimedians and academic
researchers, please take a look at
https://etherpad.wikimedia.org/p/WRN202310 and add your name next to any
paper you are interested in covering. This issue (for October 2023) is
scheduled for publication on November 5, 2023 20:00 UTC, texts should be in
a day before that. If you can't make this deadline but would like to cover
a particular paper in the subsequent issue, leave a note next to the
paper's entry. As usual, short notes and one-paragraph reviews are most
welcome, too.
Alhaji Darajaati on behalf of the Newsletter team
[Moving research-wmf to Bcc.]
Dear Hanxuan Sun.
Thank you for reaching out.
*Some tips for increasing the chances of success for your project*
- *Reduce the chance of surprising existing Wikipedia volunteers. *For
example,
- If your project involves recruiting existing Wikipedia editors or
changing content in a Wikipedia language, please make sure you
communicate
that to the relevant Wikipedia language community and engage in follow-up
conversations they may want to have with you. On English
Wikipedia, you can
do it at
https://en.wikipedia.org/wiki/Wikipedia:Village_pump_(miscellaneous)
. (Village pump is a place where many communities Wikipedia language
communities maintain for this type of conversation. You can find
the other
languages' village pump pages by clicking on the languages menu on the
top-right side of https://en.wikipedia.org/wiki/Wikipedia:Village_pump
.)
- Create a research page for your project on MetaWiki
https://meta.wikimedia.org/wiki/Research:New_project and link it in
your communications. This is the place where others can learn more about
your research. Sample projects at
https://meta.wikimedia.org/wiki/Research:Index . (Reference your IRB
from this research page if you can.)
- *Understand the context. *We can give you tips to improve your work,
however, the relevant Wikimedia project (Wikipedia language community in
your case), is the community who you'll need to primarily work with.
- *Survey privacy and data retention. *With Wikimedians, sometimes less
is more. :) I highly recommend you think hard about what data you actually
need and how long you will keep it for what reason. Keeping sensitive data
in perpetuity can raise alarms b/c privacy is something many Wikipedians
value.
- *Survey questions. *There are at least a few folks on this list that
have expertise on this front. They may choose to leave feedback for you.
Thanks for being proactive and asking for feedback. :) I had a quick look
at the first few pages. One question that immediately caught my attention
was the question about gender where you ask about the gender and you offer
options about sex. That question needs a fix, please. You can find a sample
of survey questions (including gender related ones at
https://meta.wikimedia.org/wiki/Community_Insights/2022_Survey_Questions
). Having seen this one example you can improve, I highly recommend that
you seek specific input into your survey questions from a survey specialist
before running the survey to make sure the survey questions can help you
with the questions you want to answer as part of the research and that they
are as close as possible to the latest best practices in survey design.
Good luck!
Best,
Leila
--
Leila Zia
Head of Research
Wikimedia Foundation
On Wed, Oct 18, 2023 at 11:51 AM Hanxuan Sun <hanxuan.sun(a)unsw.edu.au>
wrote:
> Dear Wikipedia organization members,
>
>
>
> Researchers at UNSW are conducting a project about exploring the reasons
> behind translators making changes to their translations on Wikipedia, a
> popular online encyclopedia which uses a ‘crowdsourcing’ approach,
> attracting volunteer translators to translate its content. The research
> will investigate the factors that influence translators’ decisions to
> revise existing translations, such as the quality of translation (e.g.,
> from machine translation), personal beliefs, and discussions with peers in
> online communities, etc.
>
>
>
> The research study is looking recruit people who meet the following
> criteria:
>
>
>
> 1. 18 years of age or older;
> 2. Live in Australia;
> 3. Proficient Chinese and English bilinguals;
> 4. Active Wikipedia online volunteers engaged in revision.
>
> Participants will be asked to complete the following research activities
> if they agree to participate:
>
> - Online surveys with 34 questions that will take approximately 20 to
> 25 minutes to complete; and/or
> - Followed-up one-on-one interviews via Zoom, which will need around
> 30 minutes; and/or
> - Observational study for an active group; and/or
> - Focus group discussion via zoom, which will take around 2 hours.
> - A full description of all research activities, including any risks,
> harms or discomforts that you may experience while participating in this
> research is included in the attached Participant Information Statement and
> Consent Form.
> -
>
> Please contact the following person via email or phone to register your
> interest in taking part in the research:
>
>
>
> *Name*
>
> Hanxuan Sun
>
> *Position*
>
> Student Investigator
>
> *Email*
>
> hanxuan.sun(a)unsw.edu.au
>
>
>
> If you have questions about the research and would like to contact the
> Chief Investigator, please contact the following person:
>
> *Chief Investigator *
>
> *Name*
>
> Stephen Doherty
>
> *Position*
>
> Chief Investigator
>
> *Telephone*
>
> (02)9385 1681
>
> *Email*
>
> s.doherty(a)unsw.edu.au
>
>
>
>
>
> This project is approved by the ethics committee in UNSW, which is
> attached. The Participant’s consent form is attached in the cover page of
> the surveys. The link of surveys are: English version:
> https://unsw.au1.qualtrics.com/jfe/form/SV_3fNVlLeMgM3BNzg ; Chinses
> version: https://unsw.au1.qualtrics.com/jfe/form/SV_0AjTai9lMOf48FE .
> Would you please check the content of the surveys at your most convenience?
> Thank you so much! If you have any questions, feel free to contact me.
>
>
>
> Best,
>
> Hanxuan Sun.
> _______________________________________________
> Research-wmf mailing list -- research-wmf(a)lists.wikimedia.org
> To unsubscribe send an email to research-wmf-leave(a)lists.wikimedia.org
>
Hi all,
The next Research Showcase, focused on *Data Privacy*, will be
live-streamed on Wednesday, October 18, at 9:30 AM PST / 16:30 UTC. Find
your local time here <https://zonestamp.toolforge.org/1697646641>.
YouTube stream: https://www.youtube.com/watch?v=ntgRsMaDlsw. As usual, you
can join the conversation in the YouTube chat as soon as the showcase goes
live.
This month's presentations:
Wikipedia Reader Navigation: When Synthetic Data Is EnoughBy *Akhil Arora,
EPFL*Every day millions of people read Wikipedia. When navigating the vast
space of available topics using hyperlinks, readers describe trajectories
on the article network. Understanding these navigation patterns is crucial
to better serve readers’ needs and address structural biases and knowledge
gaps. However, systematic studies of navigation on Wikipedia are hindered
by a lack of publicly available data due to the commitment to protect
readers' privacy by not storing or sharing potentially sensitive data. In
this paper, we ask: How well can Wikipedia readers' navigation be
approximated by using publicly available resources, most notably the
Wikipedia clickstream data <https://wikinav.toolforge.org/>? We
systematically quantify the differences between real navigation sequences
and synthetic sequences generated from the clickstream data, in 6 analyses
across 8 Wikipedia language versions. Overall, we find that the differences
between real and synthetic sequences are statistically significant, but
with small effect sizes, often well below 10%. This constitutes
quantitative evidence for the utility of the Wikipedia clickstream data as
a public resource: clickstream data can closely capture reader navigation
on Wikipedia and provides a sufficient approximation for most practical
downstream applications relying on reader data. More broadly, this study
provides an example for how clickstream-like data can generally enable
research on user navigation on online platforms while protecting users’
privacy.
How to tell the world about data you cannot show them: Differential privacy
at the Wikimedia FoundationBy *Hal Triedman, Wikimedia Foundation*The
Wikimedia Foundation (WMF), by virtue of its centrality on the internet,
collects lots of data about platform activities. Some of that data is made
public (e.g. global daily pageviews); other data types are not shared (or
are pseudonymized prior to sharing), largely due to privacy concerns.
Differential privacy is a statistical definition of privacy that has gained
prominence in academia, but is still an emerging technology in industry. In
this talk, I share the story of how we put differential privacy into
production at the WMF, through looking at the case study of geolocated
daily pageview counts.
You can also watch our past research showcases here:
https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase
Best,
Kinneret
--
Kinneret Gordon
Lead Research Community Officer
Wikimedia Foundation <https://wikimediafoundation.org/>
--
Kinneret Gordon
Lead Research Community Officer
Wikimedia Foundation <https://wikimediafoundation.org/>
The September 2023 issue of the Wikimedia Research Newsletter is out:
https://meta.wikimedia.org/wiki/Research:Newsletter/2023/September
In this issue :
1. In blind test, readers prefer ChatGPT output over Wikipedia articles in
terms of clarity, and see both as equally credible
2. FlaggedRevs study finds that concerns about limiting Wikipedia's "anyone
can edit" principle "may be overstated"
3. Briefly
4. Other recent publications
*** 9 recent publications were covered or listed in this issue ***
Alhaji Darajaati on behalf of the Newsletter team
---
Wikimedia Research Newsletter
*
https://meta.wikimedia.org/wiki/Research:Newsletter/
* Follow us on Twitter/X: https://twitter.com/WikiResearch
* Follow us on Mastodon: https://mastodon.social/@wikiresearch
* Like us on Facebook: Facebook.com/WikiResearch/
* Receive this newsletter by mail: Research-newsletter Mailing List
Hello everyone!
I’m part of a research group that is working on developing a framework for
the ethical conduct of research with online communities; the framework is
intended for use by online communities, researchers, and institutional
review boards. To help develop the framework, we're looking for members of
the Wikipedia community interested in joining us for one or more
participatory workshops.
(1) If this research piques your interest, you can learn more at our Meta-Wiki
page
<https://meta.wikimedia.org/wiki/Research:Beyond_the_Individual:_Community-E…>.
Consider leaving any feedback you have on the research talk page
<https://meta.wikimedia.org/wiki/Research_talk:Beyond_the_Individual:_Commun…>;
your questions, concerns, and ideas are greatly appreciated and will only
make this work better in the long run.
(2) We are looking for 6-12 participants for our first workshop. If you're
interested in joining, please leave us your email here
<https://umn.qualtrics.com/jfe/form/SV_cBiSeHJoJe0pjlY>, and we'll reach
out personally with more information. Or, if you prefer, leave a comment on
the research talk page
<https://meta.wikimedia.org/wiki/Research_talk:Beyond_the_Individual:_Commun…>,
and we can follow up via Wiki.
Cheers,
Matthew
--
Matthew Zent
GroupLens Research
https://zentavious.github.io
He/Him