Humanist Discussion Group, Vol. 39, No. 264.
Department of Digital Humanities, University of Cologne
Hosted by DH-Cologne
www.dhhumanist.org
Submit to: humanist@dhhumanist.org
[1] From: Marco Antonio Stranisci <marcoantonio.stranisci@unito.it>
Subject: 1st Joint Call for Papers: Social Context Workshop and Workshop on Integrating NLP and Psychology to Study Social Interactions (154)
[2] From: Stefano Morello <smorello@gradcenter.cuny.edu>
Subject: Call for Papers ACH 2026 (57)
[3] From: David Silva - IRDTA <david@irdta.eu>
Subject: DeepLearn 2026: early registration January 5 (256)
--[1]------------------------------------------------------------------------
Date: 2025-12-14 10:23:07+00:00
From: Marco Antonio Stranisci <marcoantonio.stranisci@unito.it>
Subject: 1st Joint Call for Papers: Social Context Workshop and Workshop on Integrating NLP and Psychology to Study Social Interactions
Joint Call for Papers
Social Context (SoCon)
and
Integrating NLP and Psychology to Study Social Interactions (NLPSI)
SoCon <https://social-context-workshop.github.io/> and NLPSI
<http://nlpsi-workshop.github.io> will be co-located with the 15th
conference on Language Resources and Evaluation (LREC’26), held in Palau de
Congressos de Palma, Palma de Mallorca (Spain), on 11-16 May 2026.
Workshop day: May 12th, 2026
Deadline for paper submission: February 16th, 2026
Website: https://socon-nlpsi.github.io
Contact: socon-nlpsi-workshop-organizers.nlproc@uni-bamberg.de
Overview
Natural Language Processing (NLP) has undergone a significant evolution,
opening up the possibility of capturing high-level aspects of human
communication. Key areas of interest include the pragmatics, social
dynamics, and the integration of social context, to further explore
communicative intent. The SoCon and NLPSI workshops share a common interest
in the social dimension of communication, although they address distinct
challenges.
The Social Context Workshop focuses on exploring the mechanisms through
which context shapes language use to accurately model it. The workshop
takes an interdisciplinary approach, seeking to establish a shared
vocabulary on this topic and to explore how NLP can be integrated with
Pragmatics, Sociolinguistics, and Sociology. By promoting alternatives to
traditional crowdsourcing techniques, it aims to provide a platform for
advancing community-centred approaches in NLP.
The NLPSI Workshop examines the core psychological processes that shape
human behavior and communication, as well as the factors that influence how
individuals perceive, process, and produce language, and the impact of
these processes on communication. This interdisciplinary workshop welcomes
researchers from NLP, Social Psychology, and Affective Computing, intending
to conduct large-scale studies that explore key theories and research
questions across these domains.
Driven by the shared interest in human communicative behaviors and
interactive dynamics, we announce a joint Call for Papers, organized into
two specialized tracks: SoCon and NLPSI. To ensure the most appropriate
review and placement, authors should direct their work to the track that
best aligns with the core focus of their research contributions.
SoCon Track
Towards Responsibly Infusing NLP With Social Context, Community Meanings,
and Pragmatics Through Interdisciplinary NLP Efforts.
The track welcomes submissions on topics including, but not limited to, the
following:
- Adopting interdisciplinary methods for modeling context: exploring the
integration of NLP with pragmatics and social sciences.
- Studying social communities: discussion and critical exploration of how
to engage with communities of practice and speech communities.
- Investigating ethical challenges in the creation of NLP resources:
participatory design, involving communities affected by specific social
issues.
- Explaining behaviors in social interactions: modeling social attitudes
as the result of the complex interaction between people's backgrounds,
communicative contexts, and events that trigger their behavior.
For any questions, contact us at social-context-workshop@googlegroups.com.
NLPSI Track
Bridging the gap between NLP and psychological insights to foster a deeper
understanding of social interactions
The track welcomes submissions on topics including, but not limited to, the
following:
- Psychological constructs: (e.g., beliefs, motives, feelings, affect,
personality).
- Psychological studies: especially those focused on interaction.
- Communication patterns: such as empathy, persuasion, and conflict
resolution.
- Role of emotions in interpersonal communication: including phenomena
like emotion contagion and interpersonal emotion regulation.
For any questions, contact us at
nlpsi-workshop-organizers.nlproc@uni-bamberg.de.
Submission Types
We welcome the following types of submissions:
- Long papers (up to 8 pages) that present original research, from
preliminary findings to established contributions, including theory,
experiments, or applications.
- Short papers (up to 4 pages) that introduce emerging ideas, work in
progress, or early-stage research with clear significance.
Submission Guidelines
- All submissions will be double-blind reviewed
- Submissions should follow LREC guidelines. Here
<https://lrec2026.info/authors-kit/> are all the templates (LaTeX, Word,
Open Office, Overleaf LaTeX templates).
- Page limit applies to the main content of the papers. Sections including
limitations, ethical considerations, acknowledgements, references and
appendices do not count toward this limit.
- All submissions will be managed through Softconf.
When submitting a paper from the START page, authors will be asked to
provide essential information about resources (in a broad sense, i.e. also
technologies, standards, evaluation kits, etc.) that have been used for the
work described in the paper or are a new result of your research. Moreover,
ELRA encourages all LREC authors to share the described LRs (data, tools,
services, etc.) to enable their reuse and replicability of experiments
(including evaluation ones). In addition, authors will be required to
adhere to ethical research policies on AI and should include an ethics
statement in their papers.
Workshop Format
The workshop will follow the attendance policy
<https://lrec2026.info/registration-policy/> of the main conference.
The workshop will be a full-day event featuring:
- Keynote speeches from leading experts in the field
- Paper presentations (oral and lightning talks)
- The workshop will be held in a hybrid format
Important Dates
Paper submission deadline: February 16th, 2026
Notification of acceptance: March 23rd, 2026
Camera ready: March 30th, 2026
Workshop day: May 12th, 2026
Organizers
[...]
Marco,
UNITO <https://www.unito.it/persone/mstranis> and aequa-tech
<https://aequa-tech.com/>
"Aoki è sboccato e ancora inesperto, ma dentro di sé nasconde una
sensibilità delicata e gentile. È questo ciò che mi comunicano le sue
storie. Hayashi, sono certo che lei riuscirà a illuminare il suo cammino"
Taiyo Matsumoto
--[2]------------------------------------------------------------------------
Date: 2025-12-13 15:56:45+00:00
From: Stefano Morello <smorello@gradcenter.cuny.edu>
Subject: Call for Papers ACH 2026
The Association for Computers and the Humanities (ACH) will be holding our
annual virtual conference, ACH 2026, from June 24 to 26, 2026. We are excited to
share our annual call for papers, due February 2, 2026:
https://ach2026.ach.org/en/cfp/
The ACH 2026 conference is focused on themes of transnationalism and solidarity,
particularly with an attention to the Americas. The U.S. population is diverse
and maintains strong connections across the American continents, relations that
extend beyond the political realm and transcend borders. With this in mind, ACH
is dedicating a substantial portion of the conference organizing efforts and
time to hosting a bilingual conference (in Spanish and English).
We welcome submissions and presentations in Spanish, as well as reviewers who
are able to review submissions in Spanish. For our CFP in Spanish, see here:
https://ach2026.ach.org/es/cfp/
If you are interested in reviewing for ACH, please fill out our Reviewer
Form<https://docs.google.com/forms/d/e/1FAIpQLSeRpduVZ4VKoJEPKUa1e0oKAQPG1Ah-
Nw67M8H3fMU8gx4o7w/viewform?usp=publish-editor>
(https://docs.google.com/forms/d/e/1FAIpQLSeRpduVZ4VKoJEPKUa1e0oKAQPG1Ah-
Nw67M8H3fMU8gx4o7w/viewform).
Convocatoria ACH 2026
La Asociación de Computación para las Humanidades (ACH) llevará a cabo ACH 2026,
una conferencia virtual, del 24 al 26 de junio de 2026. Nos complace compartir
nuestra convocatoria anual de propuestas con fecha límite el 2 de febrero de
2026: https://ach2026.ach.org/en/cfp/.
La conferencia ACH 2026 se centra en temas de transnacionalismo y solidaridad,
con un enfoque particular en las Américas. La población de Estados Unidos es
diversa y mantiene fuertes vínculos a través del continente americano,
relaciones que se extienden más allá del ámbito político y trascienden las
fronteras. Con esto en mente, ACH dedica una parte sustancial de su tiempo y
esfuerzos para organizar una conferencia bilingüe (en español e inglés).
Aceptamos propuestas y presentaciones en español e invitamos a revisores a
participar en la revisión de entregas en español. Para ver la convocatoria
visite el enlace: https://ach2026.ach.org/es/cfp/
Si le interesa participar como revisor para ACH favor de llenar nuestro
formulario de
revisor<https://docs.google.com/forms/d/e/1FAIpQLSeRpduVZ4VKoJEPKUa1e0oKAQPG1Ah-
Nw67M8H3fMU8gx4o7w/viewform?usp=publish-editor>
(https://docs.google.com/forms/d/e/1FAIpQLSeRpduVZ4VKoJEPKUa1e0oKAQPG1Ah-
Nw67M8H3fMU8gx4o7w/viewform).
---
Stefano Morello, Ph.D.
Assistant Director for Digital Projects
American Social History Project / Center for Media and
Learning<https://ashp.cuny.edu/>
The Graduate Center, City University of New York
Room 7301.12
--[3]------------------------------------------------------------------------
Date: 2025-12-13 10:03:20+00:00
From: David Silva - IRDTA <david@irdta.eu>
Subject: DeepLearn 2026: early registration January 5
13th INTERNATIONAL SCHOOL ON DEEP LEARNING
DeepLearn 2026
Orléans, France
July 20-24, 2026
https://deeplearn.irdta.eu/2026/
---
Co-organized by:
University of Orléans
Centre Val de Loire Doctoral College
Institute for Research Development, Training and Advice – IRDTA
Luxembourg/London
---
Early registration: January 5, 2026
---
SCOPE:
DeepLearn 2026 will be a research training event with a global scope aiming at
updating participants on the most recent advances in the critical and fast
developing area of deep learning. Previous events were held in Bilbao, Genova,
Warsaw, Las Palmas de Gran Canaria, Guimarães, Luleå, Bournemouth, Bari, and
Porto.
Deep learning is a branch of artificial intelligence covering a spectrum of
current frontier research and industrial innovation that provides more efficient
algorithms to deal with large-scale data in a huge variety of environments:
computer vision, neurosciences, speech recognition, language processing, human-
computer interaction, drug discovery, biomedicine and healthcare, medical image
analysis, recommender systems, advertising, fraud detection, robotics, games,
business and finance, biotechnology, physics and astrophysics, biometrics,
communications, climate sciences, geographic information systems, signal
processing, genomics, materials design, video technology, social systems, earth
and sustainability, mathematical proofs, etc. etc.
The field is also raising a number of relevant questions about efficiency and
robustness of the algorithms, explainability, transparency, interpretability,
risks and safety, as well as important ethical concerns at the frontier of
current knowledge that deserve careful multidisciplinary discussion.
Most deep learning subareas will be displayed and main challenges identified
through 18 four-hour and a half courses, 2 keynote lectures, 1 round table, and
a hackathon competition among participants. Renowned academics and industry
pioneers will lecture and share their views with the audience. The organizers
are convinced that outstanding speakers will attract the brightest and most
motivated students. Face to face interaction and networking will be main
ingredients of the event. It will be also possible to fully participate in vivo
remotely.
ADDRESSED TO:
Graduates, postgraduates and industry practitioners will be typical profiles of
participants. However, there are no formal pre-requisites for attendance in
terms of academic degrees, hence people less or more advanced in their career
will be welcome as well.
Since there will be a variety of levels, specific knowledge background may be
assumed for some of the courses.
Overall, DeepLearn 2026 is addressed to students, researchers and practitioners
who want to keep themselves updated about recent developments and future trends.
All will surely find it fruitful to listen to and discuss with major
researchers, industry leaders and innovators.
VENUE:
DeepLearn 2026 will take place in Orléans, located in the heart of the Loire
Valley, which was declared by UNESCO a World Heritage Site in 2000. The venue
will be:
University of Orléans
Faculty of Law, Economics and Management
11 rue de Blois
45100 Orléans, France
https://www.univ-orleans.fr/en
STRUCTURE:
3 courses will run in parallel during the whole event. Participants will be able
to freely choose the courses they wish to attend as well as to move from one to
another.
All lectures will be videorecorded. Participants will be able to watch them
again for 45 days after the event.
An open session will give participants the opportunity to present their own work
in progress in 5 minutes. Also companies will be able to present their
industrial developments for 10 minutes.
The school will include a hackathon, where participants will be able to work in
teams to tackle several machine learning challenges.
Full live online participation will be possible. The organizers highlight,
however, the importance of face to face interaction and networking in this kind
of research training event.
KEYNOTE SPEAKERS:
Yingbin Liang (Ohio State University), Theoretical Characterization of Training
Transformers for Chain-of-Thought Reasoning
Le Song (Mohamed bin Zayed University of Artificial Intelligence), Multiscale
Foundation Models for Biology
PROFESSORS AND COURSES: (to be completed)
Yuejie Chi (Yale University), [introductory/intermediate] Statistical and
Algorithmic Foundations of Reinforcement Learning
Bo Han (Hong Kong Baptist University), [introductory/intermediate] Trustworthy
Machine Learning from Data to Models
Jiawei Han (University of Illinois Urbana-Champaign), [intermediate] Structure-
Guided, Theme-Based Knowledge Discovery with Large Language Models
Mingyi Hong (University of Minnesota), [intermediate] Bilevel Optimization:
Theory, Algorithms and Application in AI
Cho-Jui Hsieh (University of California Los Angeles), [intermediate/advanced]
Optimizers for Large Language Model Training
Furong Huang (University of Maryland), [advanced] Generative AI Agents
Tara Javidi (University of California San Diego), [intermediate] Active Physical
Intelligence for Industrial Scale Monitoring
Yan Liu (University of Southern California), [intermediate] Time Series
Foundation Models: From Forecasting to Reasoning
Zhijin Qin (Tsinghua University), [intermediate/advanced] Semantic
Communications
Aarti Singh (Carnegie Mellon University), [intermediate] Human Centered AI:
Challenges and Opportunities
Ivor Tsang (A*STAR Centre for Frontier AI Research), [introductory/intermediate]
Long-Horizon Agentic Intelligence
Zhangyang (Atlas) Wang (University of Texas Austin), [intermediate/advanced]
Beyond Sparsity or Low Rank: In-Between Neural and Symbolic Learning
Ming-Hsuan Yang (University of California Merced), [advanced] Recent Advances in
Multimodal Understanding and Generation
Tong Zhang (University of Illinois Urbana-Champaign),
[introductory/intermediate] Reinforcement Learning for Foundation Models
Jun Zhu (Tsinghua University), [introductory/advanced] Generative Models: from
Virtual to Physical World
OPEN SESSION:
An open session will collect 5-minute voluntary oral presentations of work in
progress by participants.
They should submit a half-page abstract containing the title, authors, and
summary of the research to david@irdta.eu by July 12, 2026.
INDUSTRIAL SESSION:
A session will be devoted to 10-minute demonstrations of practical applications
of deep learning in industry.
Companies interested in contributing are welcome to submit a 1-page abstract
containing the program of the demonstration and the logistics needed. People in
charge of the demonstration must register for the event.
Abstracts have to be submitted to david@irdta.eu by July 12, 2026.
HACKATHON:
A hackathon will take place, where participants can voluntarily work in teams to
tackle several machine learning challenges. They will be coordinated by
Professor Sergei V. Gleyzer (University of Alabama). The challenges will be
released 2 weeks before the beginning of the school. A jury will judge the
submissions and the winners of each challenge will be announced by the end of
August 2026. The winning teams will receive a modest monetary prize and the
runners-up will get a certificate.
SPONSORS:
Companies/institutions/organizations willing to be sponsors of the event can
download the sponsorship leaflet from
https://deeplearn.irdta.eu/2026/sponsors/
ORGANIZING COMMITTEE:
Karim Abed-Meraim (Orléans, local co-chair)
Sergei V. Gleyzer (Tuscaloosa, hackathon chair)
Meryem Jabloun (Orléans, local co-chair)
Carlos Martín-Vide (Tarragona, program chair)
Santiago Montes (Tarragona, webpage)
Sara Morales (Luxembourg, finances)
Philippe Ravier (Orléans, local chair)
David Silva (London, organization chair)
REGISTRATION:
It has to be done at
https://deeplearn.irdta.eu/2026/registration/
The selection of 6 courses requested in the registration template is only
tentative and non-binding. For logistical reasons, it will be helpful to have an
estimation of the respective demand for each course.
Since the capacity of the venue is limited, registration requests will be
processed on a first come first served basis. The registration period will be
closed and the on-line registration tool disabled when the capacity of the venue
will have got exhausted. It is highly recommended to register prior to the
event.
FEES:
Fees comprise access to all program activities and lunches.
There are several early registration deadlines. Fees depend on the registration
deadline.
The fees for on site and for online participation are the same.
ACCOMMODATION:
Accommodation suggestions will be available in due time at
https://deeplearn.irdta.eu/2026/accommodation/
CERTIFICATE:
A certificate of successful participation will be delivered indicating the
number of hours of academic activities (40). This should be sufficient for those
participants who plan to request ECTS recognition from their home university.
QUESTIONS AND FURTHER INFORMATION:
david@irdta.eu
ACKNOWLEDGMENTS:
Université d’Orléans
Collège Doctoral Centre-Val de Loire
Universitat Rovira i Virgili
Institute for Research Development, Training and Advice – IRDTA,
Luxembourg/London
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