Humanist Discussion Group, Vol. 39, No. 359.
Department of Digital Humanities, University of Cologne
Hosted by DH-Cologne
www.dhhumanist.org
Submit to: humanist@dhhumanist.org
[1] From: Edward Ross <edward.ross@reading.ac.uk>
Subject: CFP: AI Literacy for the Ancient World (1-3 July 2026) (75)
[2] From: Patrick Sahle <sahle@uni-wuppertal.de>
Subject: CfP: Editopia. On the Future of Documentology and Scholarly Editing in the Post-Digital Age (151)
[3] From: David Silva - IRDTA <david@irdta.eu>
Subject: DeepLearn 2026: early registration March 29 (250)
--[1]------------------------------------------------------------------------
Date: 2026-03-09 17:12:06+00:00
From: Edward Ross <edward.ross@reading.ac.uk>
Subject: CFP: AI Literacy for the Ancient World (1-3 July 2026)
Dear Colleagues,
Please find below the Call for Papers for an upcoming hybrid event to be held at
the University of Reading, UK.
AI Literacy for the Ancient World
Second Meeting of the iGAIAS Network
1-3 July 2026 – Department of Classics, University of Reading, United Kingdom.
This meeting aims to bring together teachers, researchers, and practitioners in
ancient world studies, broadly conceived, to address the issues related to the
use and integration of artificial intelligence (AI) tools across our
disciplines. We are aware that the use of AI models is increasing exponentially
across all areas of daily life, but recognition and understanding of the issues
related to AI models is not increasing at the same rate. This meeting will focus
on how best to promote AI literacy and current AI ethics issues among those in
our educational and work contexts.
The first day of the meeting will host a series of hands-on workshop sessions to
demonstrate methods for ethically using AI tools for supporting ancient world
teaching, learning, and research. We invite proposals for workshop sessions to
add to the current list of activities, which currently includes:
* Hands-on AI tool sandbox sessions, including Wayground, immersive
technologies, and personalized LLMs
* Applications for AI tools in poor internet connection environments
* AI as a research collaborator
* AI and assessment
* AI for humanities graduates in the workplace
* A discussion session to improve two educational toolkits: one on AI ethics
and the presentation of the ancient world in AI-generated images, and one on
ethical AI methods for teachers and students of ancient languages.
The second and third days of the meeting will be a series of networking events
and discussion sessions focusing on current ethical issues surrounding AI use in
ancient world studies. The proposed discussion themes include, but are not
limited to:
* How do we best educate students about AI ethics across educational levels,
and how do we make this engagement accessible to people who have no desire to
directly interact with AI models?
* How do we develop ethical, sustainable, and accessible training materials
for using AI models to support teaching and learning?
* How do we address the issues that AI summarization pose for the
preservation of history, including persistent omission and cultural context?
* How do agentic AI models use the ancient world in their reasoning? Does AI
reception of the ancient world reflect human receptions or is this a new form of
reception entirely?
We invite proposals for 30-minute workshop sessions, consisting of a 100-word
abstract and a short description of the proposed sandpit activity. We also
invite proposals for 20-minute conference papers, consisting of a 300-word
abstract. All submissions should include a 50-word short biography and a CV for
each presenter. Please send proposals to iGAIAS2026@reading.ac.uk by 24 April
2026.
We also intend to publish the proceedings of this conference in The Classics
Journal<https://cj.camws.org/> shortly after the conference to ensure we can
disseminate the outcomes of the event as quickly as possible in our rapidly
developing technological environment. If you are unable to participate in the
conference and would still like to submit your work for publication, please
submit your 300-word abstract and CV to iGAIAS2026@reading.ac.uk by 10 July
2026.
Best wishes,
The iGAIAS 2026 Conference Committee
Dr. Edward A. S. Ross (he/him)
Lecturer in Classics
Department of Classics, University of Reading
BA (McGill University); MBuddhStud (University of Hong Kong); PhD (University of
Reading)
--[2]------------------------------------------------------------------------
Date: 2026-03-09 10:41:21+00:00
From: Patrick Sahle <sahle@uni-wuppertal.de>
Subject: CfP: Editopia. On the Future of Documentology and Scholarly Editing in the Post-Digital Age
Dear digital humanists,
Call for Papers: Editopia. On the Future of Documentology and
Scholarly Editing in the Post-Digital Age
(https://editopia2026.i-d-e.de/)*
Conference of the Institute for Documentology and Scholarly Editing
(IDE), University of Wuppertal, Germany; 2–4 September 2026. *Local
organization: Digital Humanities Team (DH@BUW), supported by of the
Interdisciplinary Center for Editing and Document Studies (IZED)*
What comes after the digital edition?
Digital editions have become an everyday scholarly practice. The
critical representation of historical documents is now routinely
digital, networked, openly accessible, and simultaneously available in
multiple forms of representation. As the analogue–digital debate has
largely come to an end, new questions come to the fore. We no longer ask
whether digital methods are epistemically justified and viable, but
howand to what endthey are best used. Alongside persistent or newly
emerging technical challenges, other challenges gain prominence in this
shift. By way of example: What constitutes “the text” in the
post-digital age, where principles of stability and processuality,
material transmission and processual data streams, and authority and
democratization coexist? How do source criticism and textual criticism
and their processes of knowledge generation change under the influence
of generative AI when machines act as “first readers” transcribing,
interpreting, and annotating documents? Moving beyond its incunabula
phase, how will the affordances of digital media shape concepts of
publications? Are we moving towards an era of media presentation as a
(as we used to say) mash-up or (as it is called now) transclusion of
ubiquitously reusable building blocks? What responsibility do editions
bear for the authenticity and trustworthiness of the edited material?
How can editions be made more open, accessible, and future-proof? Does
the edition as a formstill persist under these conditions, or does it
dissolve? And how might we need to rethink the models and processes that
lead to data in the first place?
One fundamental observation underlies all these questions: data
constitute the content and core of the edition, and data themselves are
primarily fluid, processual and networked.
On the occasion of its 20th anniversary, the Institute for Documentology
and Scholarly Editing (IDE) invites scholars to engage with these
questions at the international conference Editopia. By post-digitalwe
understand a condition in which digital tools and modes of thinking are
no longer conceived primarily in opposition to the analogue, but as the
foundation of humanities scholarship and, consequently, as the basis for
further-reaching questions.
We therefore invite contributions addressing, but not limited to, the
following thematic areas:
The Post-Digital Document. What does materiality mean in the digital
realm, from file formats and storage media to infrastructures? Which
documentological properties characterize digitized or born-digital
sources such as emails, websites, or social media? How do we address
versioning, ephemerality, and the processual nature of digital
artefacts? What challenges arise from multimodal documents combining
text, image, audio, video, and interactive elements?
Identity and Coherence of the Edition. What constitutes an edition when
its components are fluid and networked, or when externally created
digital objects are integrated and reused? What roles do authorship,
boundaries, closure, and authority play when editions become permanently
updatable? What might establish coherence under such conditions, and is
coherence still a relevant claim at all?
Scholarly Editing and Artificial Intelligence. How do machine-based
methods transform editorial practice, from automated transcription to
annotation and contextualization? Where do they expand possibilities,
and where do new dependencies emerge? Which new objectives arise, and
which traditional aims may fade from view? How should we deal with
machine-generated uncertainty and opacity? What does it mean when
AI-generated texts themselves become objects of editing? How can the
influence of AI on the emergence and formation of an edition be
documented and critically reflected?
Source Criticism, Forensics, and Authentication. How does source
criticism change when documents are created digitally, migrated between
media states or data models, and are inherently manipulable? Which
methods of provenance research and authentication become necessary? How
can trust in digital editions be established, and what responsibilities
do editors bear with regard to transparency, traceability, and credibility?
Transmedial Representation and Aesthetics. How does the edition change
between print, screen, and other conceivable digital media? What design
possibilities do interactive or immersive formats offer? How does the
visual and sensory dimension of digital editions affect not only their
use but also the scholarly process of knowledge production?
Labour, Economy, and Institutions. How can editorial projects be
organized between project-based logic and long-term sustainability? Do
editions require new business models, and if so, which are compatible
with open access and scholarly independence? How do roles and
professional profiles change as editions become more collaborative,
technical, and data-intensive? How can the entire process of producing
an edition be fully documented? Under what conditions is good editorial
work possible today?
Community, Accessibility, and Knowledge Transfer. Who has access to
digital editions, and who remains excluded? What do communities such as
the TEI community contribute to editorial practice, and where are their
limits? How can collaborative modes of work and open infrastructures be
designed? How can scholarly editing be taught when digital competencies
are assumed, and when documentological foundations as well as other
technical skills must be newly conveyed?
Power, Participation, and Responsibility in Editing. How does
community-based knowledge production relate to academic gatekeeping
models? How can open workflows democratize editorial decision-making?
What may and what should be edited—what ethics of visibility are
required? Who edits whom, with what authority—and which new
perspectives, for example, gender-sensitive or decolonial approaches,
open up alternative paths? What responsibilities do editors bear toward
marginalized voices and sensitive content? How is the role of the editor
changing?
Theoretical Foundations. What is a “text” in the post-digital age? How
can the concept of the document be redefined between stability and
fluidity? What epistemic function does the edition fulfil—what do we
produce, what do we represent? How can post-structuralist,
neo-materialist, or other theoretical approaches renew scholarly
editing? Which concepts of authorship, work, transmission, and document
remain viable?
These thematic areas are intended as points of orientation. We also
welcome proposals that introduce additional perspectives.
We invite submissions for 20-minute papers. Abstracts should comprise
2,000–4,000 characters (including spaces and references)and clearly
outline the research question, methodological approach, and expected
results. Please also include a short biographical note.
The submission deadline is 22. March 2026. Notifications of acceptance
will be sent by the end of April 2026. Selected contributions are
planned for publication in the SIDE book series. The conference
languages are English and German. Participation is limited to 60
participants. No conference fee will be charged.
Please send abstracts and inquiries to editopia2026@i-d-e.de
<mailto:editopia2026@i-d-e.de>. Conference page:
https://editopia2026.i-d-e.de <https://i-d-e.github.io/editopia2026/>*
Best, Patrick
--
Prof. Dr. Patrick Sahle <http://patrick-sahle.de>
Lehrstuhl für Digital Humanities - Bergische
Universität Wuppertal <https://www.uni-wuppertal.de/>
--[3]------------------------------------------------------------------------
Date: 2026-03-07 09:25:53+00:00
From: David Silva - IRDTA <david@irdta.eu>
Subject: DeepLearn 2026: early registration March 29
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: March 29, 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 16 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), Convergence Theory: How Fast Do Discrete
Diffusion Models Generate?
Le Song (Mohamed bin Zayed University of Artificial Intelligence), Towards AI-
Driven Digital Organism: A System of Multiscale Foundation Models for Biology
PROFESSORS AND COURSES:
Nitesh Chawla (University of Notre Dame), [intermediate] Learning from
Imbalanced Data
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] Modern Optimization
Algorithms for Large Language Models
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
Suvrit Sra (Technical University of Munich), [introductory/intermediate]
Introduction to the Theory of Learning with Transformers
Ivor Tsang (A*STAR Centre for Frontier AI Research), [introductory/intermediate]
Long-Horizon Agentic Intelligence
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 Large Language 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)
Florian Nowicki (Orléans, social networks)
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 are available 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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