Humanist Discussion Group, Vol. 39, No. 330.
Department of Digital Humanities, University of Cologne
Hosted by DH-Cologne
www.dhhumanist.org
Submit to: humanist@dhhumanist.org
[1] From: David Silva - IRDTA <david@irdta.eu>
Subject: DeepLearn 2026: early registration March 1st (250)
[2] From: Rafail Giannadakis <giannadakis.uni@gmail.com>
Subject: TALOS 2026 Inaugural Event: Visit by Toma Tasovac (DARIAH ERIC, Director Emeritus) | Hybrid (52)
[3] From: Chiara Palladino <chiarapalladino1@gmail.com>
Subject: Deadline Reminder: (dh)2: Training the Next Generation of Digital Classicists (81)
--[1]------------------------------------------------------------------------
Date: 2026-02-14 10:19:44+00:00
From: David Silva - IRDTA <david@irdta.eu>
Subject: DeepLearn 2026: early registration March 1st
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 1st, 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), 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
--[2]------------------------------------------------------------------------
Date: 2026-02-13 13:00:12+00:00
From: Rafail Giannadakis <giannadakis.uni@gmail.com>
Subject: TALOS 2026 Inaugural Event: Visit by Toma Tasovac (DARIAH ERIC, Director Emeritus) | Hybrid
Dear colleagues,
The TALOS Lab – Artificial Intelligence for the Humanities and Social
Sciences <https://talos-ai4ssh.uoc.gr/> at the University of Crete is pleased to
welcome Dr. Toma Tasovac, Director Emeritus of the pan-European research
infrastructure DARIAH-ERIC (Digital Research Infrastructure for the Arts and
Humanities – European Research Infrastructure Consortium), for an official visit
and networking event.
The event features a keynote lecture by Dr. Tasovac titled “Scholarly
Infrastructures and AI: Building the Future of Digital Humanities Research.”
Date & Time: February 17, 2026 – 13:00 to 18:00 (Greek time, EET, UTC+2)
Location: University of Crete – UCRC/KEME (Rethymno) & Online (Zoom)
Join Zoom Meeting: [link<https://uoc-
gr.zoom.us/j/83227985441?pwd=L8itytt7xI24o83Q1v17kvMLaMUpTB.1#success>]
Passcode: 397918
The event will also include a talk by Stavroula Konstantopoulou (PhD candidate,
University of Valladolid, and Visiting Scholar at TALOS Lab), a TALOS Award
ceremony, and the traditional cutting of the New Year’s Vasilopita cake. For the
detailed program and full announcement, please visit the TALOS website
[link<https://talos-ai4ssh.uoc.gr/febr17-2026-event/>]. Stay updated on TALOS
activities by subscribing to the TALOS newsletter [link<https://talos-
ai4ssh.uoc.gr/talos-centre/contact/newsletter/>].
Speaker short BIO: Dr. Toma Tasovac<https://www.linkedin.com/in/tomatasovac/> is
a prominent Digital Humanities scholar and infrastructure leader with over 25
years of experience building digital research resources and international
collaborations. He is Director of DARIAH ERIC<https://www.dariah.eu/>, where he
leads the strategy and operations of a major European research infrastructure
connecting and supporting thousands of researchers and institutions across 22
countries. He also directs the Belgrade Center for Digital
Humanities<https://humanistika.org/>, a regional hub for research, education,
and public engagement.
He holds degrees from Harvard, Princeton, and Trinity College Dublin, and has
led innovative projects and partnerships that improve the creation,
accessibility, and reuse of digital scholarly data. His expertise spans
historical and electronic lexicography, data modelling, TEI, digital scholarly
editions, and the design and governance of large-scale research infrastructures,
with a consistent focus on capacity building and cross-border knowledge
exchange.
All are welcome!
Best wishes,
Rafail Giannadakis<https://www.linkedin.com/in/rafail-giannadakis/>
Research Assistant, TALOS–AI4SSH Lab | University of Crete
BA in Philology (major in Classics), Dept. of Philology | University of Crete
--[3]------------------------------------------------------------------------
Date: 2026-02-13 11:31:00+00:00
From: Chiara Palladino <chiarapalladino1@gmail.com>
Subject: Deadline Reminder: (dh)2: Training the Next Generation of Digital Classicists
With apologies for cross-posting, this is a gentle reminder that
applications for the event (dh)2: Training the Next Generation of Digital
Classicists, hosted at the University of Durham (UK) will close on February
27th. See the announcement below.
Training Workshop Announcement
(dh)2: Training the Next Generation of Digital Classicists
Durham University, May 18, 2026
https://digitalhumanities.webspace.durham.ac.uk/events/
-----
Description of the event
The Classics and Ancient History Department at Durham University is pleased
to offer a training workshop for emerging scholars in Digital Classics.
The Classics department at Durham hosts one of the largest clusters of
researchers in Digital Classics in the UK, with a strong track record of
external funding and early career mentorship on the subject.
We are committed to supporting the next generation of Digital Classicists
by providing them with the tools and knowledge they need to pursue a career
in this field.
The workshop will cover the following topics:
- Overview of key resources, tools, and skills needed to work with digital
methods in Classics and Ancient History research
- 1-1 networking opportunities and focused sessions to develop project
ideas with experts and potential postdoc mentors
- Essential training on how to design, pitch, and write a successful
postdoc project in Digital Classics
- Guidance on the postdoc funding landscape in Digital Classics
Audience
This event is aimed at advanced PhD students in their last or close to
their last year of study, who are planning to pursue a postdoc in Classics
with a Digital Humanities component but have no significant prior training.
We also welcome applications from PhDs and recent graduates currently in
temporary academic or administrative roles seeking to transition into
postdoctoral research.
We especially encourage individuals interested in pursuing a postdoc at
Durham, and will give priority to applications with a clear interest in
working with a Durham-based supervisor.
Bursaries are available to cover reasonable travel expenses and lodging (up
to 100GBP per night) that are not covered by internal travel funds. If you
anticipate needing travel support, please indicate it in the application
form.
How to apply
Applications are required to participate in this training event.
Applications can be submitted using this form:
https://forms.gle/LdFCKS9pVoygu2GMA.
The deadline for submitting an application is February 27th. Participants
will be informed of the results in mid-March.
Organisers
Direct any questions via email to the workshop organisers:
- Peter Heslin (p.j.heslin@durham.ac.uk)
- Michael Loy (michael.p.loy@durham.ac.uk)
- Chiara Palladino (chiara.palladino@durham.ac.uk)
- Thea Sommerschield (thea.sommerschield@durham.ac.uk)
Dr Chiara Palladino (she/her)
Assistant Professor, Digital Humanities and the Ancient World
How to pronounce my name <https://www.name-coach.com/chiara-palladino>
Department of Classics and Ancient History
Durham University
_______________________________________________
Unsubscribe at: http://dhhumanist.org/Restricted
List posts to: humanist@dhhumanist.org
List info and archives at at: http://dhhumanist.org
Listmember interface at: http://dhhumanist.org/Restricted/
Subscribe at: http://dhhumanist.org/membership_form.php
