*Cross-Cultural Misogynistic Meme Detection Grand Challenge (CC-MMD) 2026*
*Held in conjunction with the 28th ACM International Conference on
Multimodal Interaction (ICMI 2026) Napoli, Italy | October 5–9, 2026*
*Website link : https://sites.google.com/view/cc-mmd2026/overview
<https://sites.google.com/view/cc-mmd2026/overview>*
*Codabench link: https://www.codabench.org/competitions/14187/
<https://www.codabench.org/competitions/14187/>*
------------------------------
Online misogyny is increasingly evolving into complex multimodal formats.
Memes—the fusion of text and imagery—often leverage humor, irony, and
cultural shorthand to mask harmful ideologies. However, what is perceived
as misogynistic is rarely universal; it is deeply rooted in local norms,
language nuances, and social symbolism.
The *CC-MMD Grand Challenge* benchmarks the next generation of culturally
robust multimodal systems. We focus on binary misogyny classification
across three distinct regions: *Indian*, *Chinese*, and *Western
(English)* contexts.
This challenge moves beyond single-pool testing to evaluate how well AI
generalizes across specific cultural partitions, ensuring that moderation
systems are inclusive and reliable for a global digital population.
Participants are invited to develop multimodal models that can navigate:
- *Implicit Meaning:* Detecting harm when neither the text nor the image
is explicitly toxic in isolation.
- *Cultural Grounding:* Interpreting symbols and slang unique to Indian,
Chinese, and Western contexts.
*Task & Data*
- *Task:* Binary classification (Misogynistic vs. Non-Misogynistic) of
multimodal memes.
- *Dataset:* A systematic, cross-culturally annotated dataset featuring
multilingual text and diverse imagery.
- *Platform:* Competition hosting and data release will be managed via
CodaBench *https://www.codabench.org/competitions/14187/
<https://www.codabench.org/competitions/14187/>*.
------------------------------
*Important Dates*
*Task Announcement*
February 27, 2026
*Release of Training Data*
February 27, 2026
*Release of Test Data*
April 1, 2026
*Run Submission Deadline*
April 20, 2026
*Results Declared*
May 5, 2026
*Paper Submission Deadline*
June 10, 2026
*Peer Review Notification*
July 8, 2026
*Camera-ready Paper Due*
July 23, 2026
<https://research.universityofgalway.ie/en/persons/bharathi-raja-asoka-chakr…>
Final call for papers: 2nd Workshop on Computational Humor (CHum 2026)
======================================================================
The 2nd Workshop on Computational Humor (CHum 2026) will take place
virtually on July 3 or 4, 2026 as part of the 64th Annual Meeting of the
the Association for Computational Linguistics (ACL 2026).
Scope and topics
----------------
CHum 2026 aims to foster further work on modeling the processes of humor
with current methods in computational linguistics and natural language
processing, against the theoretical backdrop of humor research and with
reference to relevant corpora of textual, visual, and multimodal
materials. A principal goal of the workshop is to unite researchers who
can together probe the limits of various meaning representations --
symbolic, neural, and hybrid -- for humor processing.
We welcome contributions on any topic relevant to the computational
processing of humor, including but not limited to the following:
* LLMs, knowledge representation
* Resources and evaluation
* Human-computer interaction
* Computer-mediated communication
* Assisted content creation
* Machine and computer-assisted translation
* Digital humanities applications
* Formal modeling of humor
* Proof-of-concept humor detection and classification
Particularly encouraged are submissions describing inter- or
multi-disciplinary work, whether completed or in progress, and position
papers that critically discuss the past, present, and future of
computational humor systems.
Submission instructions
-----------------------
Long and short papers should be formatted according to the same
guidelines for the main ACL 2026 conference papers
<https://2026.aclweb.org/calls/main_conference_papers/> and submitted
through START: <https://softconf.com/acl2026/chum2026/>
Important dates
---------------
All deadlines are at 23:59 UTC-12:00 ("anywhere on Earth").
* Initial submission: March 12, 2026 (extended from March 5, 2026)
* Notification of acceptance: April 28, 2026
* Camera-ready submission: May 12, 2026
* Workshop: July 3 or 4, 2026
Organizers
----------
* Christian F. Hempelmann, East Texas A&M University
* Julia Rayz, Purdue University
* Ori Amir, Fulbright University Vietnam
* Tristan Miller, University of Manitoba
* Tiansi Dong, University of Cambridge
Further information
-------------------
* Website: <https://chumweb.org/>
* E-mail: chum(a)groups.io
--
Dr. Tristan Miller, Assistant Professor
Department of Computer Science, University of Manitoba
https://clam.cs.umanitoba.ca/ | Tel. +1 204 474 6792
Humor and Artificial Intelligence Panel
=======================================
36th International Society for Humor Studies Conference (ISHS 2026)
Niterói, Brazil, July 6 to 10, 2026
https://ishs2026.org/
ABSTRACT SUBMISSION DEADLINE: MARCH 24, 2026
Call for papers
---------------
As in previous years, the Humor and AI Special Interest Group
<https://humorstudies.org/Forum/forumdisplay.php?fid=9> of the
International Society for Humor Studies will hold a panel at the 36th
International Society for Humor Studies Conference (ISHS 2026). ISHS is
a multidisciplinary conference organized and attended by humor
researchers in diverse fields, including linguistics, psychology,
sociology, computer science, folklore, literary studies, and many others.
We invite paper presentations on AI-based technology for generating,
processing, or analyzing humor. Contributions should be grounded in
humor theory or other relevant theoretical frameworks, demonstrating how
theory informs the design, analysis, or application of AI methods.
(Submissions that focus solely on AI tools without clear theoretical
motivation or connection to humor research are outside the scope of this
call.) Application areas include, but are not limited to:
* human–computer interaction
* computer-mediated communication
* intelligent writing assistants
* conversational agents
* machine and computer-assisted translation
* digital humanities
* natural language processing
* computer vision
Submission instructions
-----------------------
Per ISHS 2026 policy, each (co-)author of the submission must separately
register beforehand for the conference using the form at
<https://www.ishs2026.eventos.dype.com.br/>. Because the submission is
for a pre-organized panel, co-authors should answer "No" to the question
"Do you wish to send a proposal/work in your registration?" Payment of
the conference fee is not required at submission time, but will be
required of _all_ co-authors of submissions accepted for presentation.
The corresponding (co-)author should then e-mail the following
information to the panel organizers at ishs-ai(a)groups.io:
1. Title
2. 250-word abstract
3. 3 keywords
4. Name, short biography, and conference registration code for each
(co-)author
Conveners
---------
* Kiki Hempelmann, East Texas A&M University
* Tristan Miller, University of Manitoba
* Julia M. Rayz, Purdue University
--
Dr. Tristan Miller, Assistant Professor
Department of Computer Science, University of Manitoba
https://clam.cs.umanitoba.ca/ | Tel. +1 204 474 6792
Call for Papers
New Submission Deadline: March 5, 2026
**************************************************************
19th WORKSHOP ON BUILDING AND USING COMPARABLE CORPORA
Co-located with LREC 2026, Palma de Mallorca (in-person & online)
May 11, 2026
Workshop website: https://comparable.lisn.upsaclay.fr/bucc2026/
Main conference website: https://lrec2026.info/
**************************************************************
MOTIVATION
In the language engineering and linguistics communities, research
in comparable corpora has been motivated by two main reasons. In
language engineering, on the one hand, it is chiefly motivated by
the need to use comparable corpora as training data for data-driven
NLP applications such as statistical and neural machine translation, or
cross-lingual retrieval. In linguistics, on the other hand, comparable
corpora are of interest because they enable cross-language discoveries
and comparisons. It is generally accepted in both communities that
comparable corpora consist of documents that are comparable in content
and form in various degrees and dimensions across several languages.
Parallel corpora are on the one end of this spectrum, and unrelated
corpora are on the other. Increasingly, these resources are not only
collected, but also augmented or even created synthetically, which
raises new questions about how to define and measure comparability.
In recent years, the use of comparable corpora for pre-training Large
Language Models (LLMs) has led to their impressive multilingual and
cross-lingual abilities, which are relevant to a range of applications,
including information retrieval, machine translation, cross-lingual text
classification, etc. The linguistic definitions and observations related
to comparable corpora are crucial to improve methods to mine such corpora,
to assess and document synthetic data, and to improve cross-lingual transfer
of LLMs. Therefore, it is of great interest to bring together builders and
users of such corpora.
PANEL DISCUSSION
The panel discusses the impact of synthetic data on comparable corpora
research. Fundamental questions about how LLMs transform our understanding
and use of multilingual data are addressed.
TOPICS
We solicit contributions on all topics related to comparable (and parallel)
corpora, including but not limited to the following:
Building Comparable Corpora
- Automatic and semi-automatic methods, including generating
comparable corpora using LLMs
- Methods to mine parallel and non-parallel corpora from the web
- Tools and criteria to evaluate the comparability of corpora
- Parallel vs non-parallel corpora, monolingual corpora
- Rare and minority languages, within and across language families
- Multi-media/multi-modal comparable corpora
Synthetic Data for Comparable Corpora
- LLM generation of comparable/parallel data
- Improving comparability of synthetic data
- Incidental bilingualism & pre-training use of comparable data
- Comparability & cross-lingual consistency
- Detection & attribution of synthetic vs. human text
- English-centric effects & fairness across languages/scripts
- Evaluation & reproducibility for downstream tasks
Applications of Comparable Corpora
- Human translation
- Language learning
- Cross-language information retrieval & document categorization
- Bilingual and multilingual projections
- (Unsupervised) machine translation
- Writing assistance
- Machine learning techniques using comparable corpora
Mining from Comparable Corpora
- Cross-language distributional semantics, word embeddings and
pre-trained multilingual transformer models
- Extraction of parallel segments or paraphrases from comparable corpora
- Methods to derive parallel from non-parallel corpora (e.g. to provide
for low-resource languages in neural machine translation)
- Extraction of bilingual and multilingual translations of single words,
multi-word expressions, proper names, named entities, sentences,
paraphrases etc. from comparable corpora.
- Induction of morphological, grammatical, and translation rules from
comparable corpora
- Induction of multilingual word classes from comparable corpora
Comparable Corpora in the Humanities
- Comparing linguistic phenomena across languages in contrastive linguistics
- Analyzing properties of translated language in translation studies
- Studying language change over time in diachronic linguistics
- Assigning texts to authors via authors' corpora in forensic linguistics
- Comparing rhetorical features in discourse analysis
- Studying cultural differences in sociolinguistics
- Analyzing language universals in typological research
IMPORTANT DATES
05 Mar 2026: Paper submission deadline (extended)
22 Mar 2026: Notification of acceptance
29 Mar 2026: Camera-ready final papers
14 Apr 2026: Workshop programme final version
11 May 2026: Workshop date
All deadlines are 11:59PM UTC-12:00 (“anywhere on earth”).
For updates of the schedule, please see the workshop website.
PRACTICAL INFORMATION
The workshop is a hybrid event, both in-person and online. Workshop
registration is via the main conference registration site, see
https://lrec2026.info/
The workshop proceedings will be published in the ACL Anthology
(https://aclanthology.org/).
SUBMISSION GUIDELINES
Please follow the style sheet and templates (for LaTeX, Overleaf and
MS-Word) provided for the main conference at
https://lrec2026.info/authors-kit/
Papers should be submitted as a PDF file using the START conference
manager at https://softconf.com/lrec2026/BUCC2026/
Submissions must describe original and unpublished work and range from 4
to 8 pages plus unlimited references. Reviewing will be double blind, so
the papers should not reveal the authors' identity. Accepted papers will
be published in the workshop proceedings.
Double submission policy: Parallel submission to other meetings or
publications is possible but must be notified to the workshop organizers
by e-mail immediately upon submission to another venue.
For further information and updates, please see the BUCC 2026 web page
at https://comparable.lisn.upsaclay.fr/bucc2026/.
WORKSHOP ORGANIZERS
- Reinhard Rapp (University of Mainz, Germany)
- Ayla Rigouts Terryn (Université de Montréal, Mila, Canada)
- Serge Sharoff (University of Leeds, United Kingdom)
- Pierre Zweigenbaum (Université Paris-Saclay, CNRS, France)
Contact: reinhardrapp (at) gmx (dot) de
PROGRAMME COMMITTEE
- Ebrahim Ansari (Institute for Advanced Studies in Basic Sciences, Iran)
- Eleftherios Avramidis (DFKI, Germany)
- Gabriel Bernier-Colborne (National Research Council, Canada)
- Kenneth Church (VecML.com, USA)
- Patrick Drouin (Université de Montréal, Canada)
- Alex Fraser (Technical University of Munich, Germany)
- Natalia Grabar (CNRS, University of Lille, France)
- Amal Haddad Haddad (Universidad de Granada, Spain)
- Kyo Kageura (University of Tokyo, Japan)
- Natalie Kübler (Université Paris Cité, France)
- Philippe Langlais (Université de Montréal, Canada)
- Yves Lepage (Waseda University, Japan)
- Shervin Malmasi (Amazon, USA)
- Michael Mohler (Language Computer Corporation, USA)
- Emmanuel Morin (Nantes Université, France)
- Dragos Stefan Munteanu (RWS, USA)
- Preslav Nakov (Mohamed bin Zayed University of AI, United Arab Emirates)
- Ted Pedersen (University of Minnesota, Duluth, USA)
- Reinhard Rapp (University of Mainz, Germany)
- Ayla Rigouts Terryn (Université de Montréal & Mila, Canada)
- Nasredine Semmar (CEA LIST, Paris, France)
- Serge Sharoff (University of Leeds, UK)
- Richard Sproat (Sakana.ai, Tokyo, Japan)
- Marko Tadić (University of Zagreb, Croatia)
- François Yvon (CNRS & Sorbonne Université, France)
- Pierre Zweigenbaum (Université Paris-Saclay, CNRS, France)
INFORMATION ABOUT THE LRE 2026 MAP AND THE "SHARE YOUR LRs!" INITIATIVE
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 the 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).
We welcome you to the next Natural Language Processing and Vision (NLPV) seminar at the University of Exeter.
Zoom scheduled: Thursday 5 March 2026 at 15:00 to 16:00, GMT
Location: https://Universityofexeter.zoom.us/j/98687933020?pwd=si6Sb2yasZU2s8zw0hMI4n… (Meeting ID: 986 8793 3020 Password: 667296)
Title: Privacy-Preserving Generation of Synthetic Clinical Narratives
Abstract: Training data is fundamental to the success of modern machine learning models, yet in high-stakes domains such as healthcare, the use of real-world training data is severely constrained by concerns over privacy leakage. A potential solution to this challenge is the use of differentially private (DP) synthetic data, which offers formal privacy guarantees while maintaining data utility. However, striking the right balance between privacy protection and utility remains challenging in clinical note synthesis, given its domain specificity and the complexity of long-form text generation. I will discuss the key issues in synthetic clinical text generation and a methodology to synthesise full-length clinical notes under strong DP constraints. The method structurally separates content and form, and generates section-wise note content conditioned on clinical profile of patients, with terms and notes privatised under separate DP constraints. To ensure quality, a DP quality maximiser enhances synthetic notes by selecting high-quality outputs. I will also introduce a validation framework, and demonstrate how the corpus generated by the proposed method aligns with real clinical notes (MIMIC).
Speaker's bio: Goran Nenadic is a Professor of Computer Science at the University of Manchester. His research focuses on making sense of large-scale free-text data by combining rule-based and data-intensive approaches. He mainly works in the healthcare domain, exploring clinical coding, temporal clinical information extraction and anonymisation of clinical free-text data. He currently leads a DARE UK project on federated generation of synthetic textual healthcare records. The project explores how synthetic clinical text can be generated and validated for safe use. Combining differential privacy with strong public and regulatory engagement, the project will test whether synthetic free-text data can meaningfully support research and federated learning while reducing privacy risks. Goran also leads the UK healthcare text analytics network (Healtex) and a DARE UK working group (Safetext) to develop national protocols for the responsible use of healthcare free-text data in AI development.
We will update future talks on the website: https://sites.google.com/view/neurocognit-lang-viz-group/seminars
Joining our *Google group* for future seminars and research information: https://groups.google.com/g/neurocognition-language-and-vision-processing-g…
Dear all,
We have extended the deadline to February 28, 11:59 pm AOE!
-----
The 15th edition of the Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2026) will be co-located with the fifteenth biennial Language Resources and Evaluation Conference (LREC 2026), at the Palau de Congressos de Palma in Palma, Mallorca, Spain.
Workshop: May 16, 2026
Website: https://sites.google.com/view/cmclworkshop/cfp<https://sites.google.com/view/cmclworkshop/cfp?authuser=0>
For questions, please contact cmclworkshop.organizers(a)gmail.com<mailto:cmclworkshop.organizers@gmail.com>
Dear colleagues,
conditional on a funding commitment, we are offering a 75% position leading to a PhD in computational linguistics on the topic of developing computational methods for the analysis of (multimodal) metaphors in contemporary, colloquial communication in online forums.
The position is funded (E13, 75%) from July 1 2026 to Dec. 31 2029.
Application deadline: March 30, 2026.
More details can be found in the job ad:
https://jobs.ruhr-uni-bochum.de/jobposting/f67b2069885e8908b2b3078b550e37a9…
Please feel free to forward this opportunity to suitable candidates!
best regards
Tatjana Scheffler
---
Tatjana Scheffler (she/her)
GB 5/157
Ruhr-Universität Bochum
Digital Forensic Linguistics
Fakultät für Philologie, Germanistisches Institut
Universitätsstraße 150
44780 Bochum
Germany
Mail: tatjana.scheffler(a)rub.de
Web: http://staff.germanistik.rub.de/digitale-forensische-linguistik/
Mastodon: https://fediscience.org/@tschfflr
Tel.: +49 234 32-21471
Exciting news! Due to several requests, we are happy to announce a deadline extension for the
2nd Workshop on Ecology, Environment, and Natural Language Processing (NLP4Ecology 2026)
to be held at LREC 2026 on 12 May 2026 (afternoon).
New Submission Deadline: 4 March 2026 (23:59 AoE)
All other dates remain unchanged:
Notification of Acceptance: 20 March 2026
Camera-Ready Deadline: 30 March 2026
Workshop Date: 12 May 2026
Submissions are handled via START:
https://softconf.com/lrec2026/NLP4Ecology2026/
Scope:
The workshop brings together researchers working at the intersection of NLP, linguistics, and ecological/environmental studies, with a focus on interdisciplinary approaches to the ecological crisis.
Topics include (but are not limited to):
Sentiment, argument, and stance analysis of environmental topics
Automated linguistic, discourse, frame analysis and topic modeling in ecological communication
Detection of anthropocentric and speciesist biases (including in LLMs)
Environmental text classification, entity recognition, and monitoring
Fact-checking and greenwashing detection
Ecofeminism, environmental justice, and language
Corpora creation and annotation for ecological discourse
Environmental communication in low-resource languages
Multimodal approaches to environmental narratives
Fairness, ethics, and accountability in environmental NLP
NLP for climate change, biodiversity, sustainability, and environmental policy
Submission Categories:
>> Regular papers (4–8 pages) – research papers or position papers, archival, included in the proceedings (must follow the LREC 2026 Author Kit)
>> Non-archival contributions (up to 4 pages) – research communications, work in progress, manifestos, etc. (presented at the workshop but not included in the proceedings)
More information:
https://nlp4ecology2026.di.unito.it/
Contact: nlp4ecology.workshop(a)gmail.com
We warmly encourage submissions and look forward to advancing research at the intersection of language, AI, and ecological transformation.
Best regards,
NLP4Ecology 2026 Organizers
*Studying the Language of Young Learners: Methodological Advances and
Challenges*
16–17 July 2026
Workshop at the University of Bonn, Germany, organized by Robert Fuchs
(University of Bonn), Valentin Werner (University of Bamberg) & Anna
Rosen (University of Freiburg) as part of the project /Young German
Learner English /(funded by the German Research Foundation).
https://www.iaak.uni-bonn.de/bael/en/uploads/yglew2_cfp.pdf
Research on young second language (L2) learners, as well as young
learner (inter-)language specifically, has gained increasing attention
in recent years, driven by calls for greater diversity and
representativeness in both Second Language Acquisition (SLA) and Learner
Corpus Research (LCR). Although a growing number of learner corpora are
available (Fernández & Davis, 2021), corpora representing young learner
language, broadly defined, remain comparatively rare. While empirical
findings from young learners are of exceptional theoretical and applied
importance, they also raise distinct methodological challenges at every
stage of the research process, from study design and data elicitation to
annotation, analysis, and interpretation (Granger, 2015; Myles, 2015,
2021; Tracy-Ventura & Paquot, 2021).
This workshop, organized by the YGLE team (https://www.ygle.de), focuses
explicitly on these methodological issues. It is intended as an
interdisciplinary forum for researchers working with young learner
populations, typically situated in institutional (primary or secondary
school) contexts, to exchange insights, innovations, and best practices
that advance the methodological foundations of our field (Gilquin, 2015,
2021; Paquot & Plonsky, 2017).
The workshop will feature keynotes by
- Emma Marsden, University of York
- Detmar Meurers, Leibniz-Institut für Wissensmedien, Tübingen
The workshop will take place jointly with the15th /Bonn Applied English
Linguistics Conference/ (BAELc15;
https://www.iaak.uni-bonn.de/bael/en/news-and-events/all-news-and-events/ba…),
which will focus on corpus-based research but is open to other fields of
applied linguistics as well. While the working language of the event is
English, we welcome contributions on all learner and target languages.
The conference is planned as an in-person event in Bonn. It will start
after 12 pm on Thursday and end (at the latest) at 4 pm on Saturday,
leaving room for travel.
Please submit your abstracts (in the range of 400–500 words +
potentially a data table or figure for illustration + references; please
use APA style) before April 15th, 2026 via easyabs (see link below). You
will receive feedback on acceptance in early May 2026. We will be able
to accommodate a limited number of online presentations. Please indicate
your availability in your submission.
Submit via easyabs: https://easyabs.linguistlist.org/conference/YGLEw2/
Please send any inquiries to bael(a)uni-bonn.de
Prof. Dr. Robert Fuchs | Head of Department and Professor of English
Linguistics | Department of English, American and Celtic Studies |
University of Bonn | Rabinstr. 8 53113 Bonn, Germany |
https://uni-bonn.academia.edu/RFuchs |
https://www.iaak.uni-bonn.de/bael/en/people/chair/prof-dr-robert-fuchs |
https://sites.google.com/view/rflinguistics/
*Recent publications:*
Coats, S., Basile, A., Morin, C. & Fuchs, R. (to appear). *The YouTube
Corpus of Singapore English Podcasts*. /English World-Wide/
Fuchs, R. et al. (to appear). *Non-standard morphosyntactic variation in
L2 English varieties world-wide: A corpus-based study
<https://www.sciencedirect.com/science/article/pii/S0024384125000737>*.
/Lingua/.
Fuchs, R., Wiltshire, C. & Sarmah, P. (to appear). *The role of English
in the linguistic ecology of Northeast India
<https://www.academia.edu/125365118/The_role_of_English_in_the_linguistic_ec…>*.
In P. Siemund, et al. (Eds.), /World Englishes in their Local
Multilingual Ecologies/. Amsterdam: Benjamins.
Lange, C., & Fuchs, R. (to appear). *English in India*. In R. Hickey &
K. Burridge (Eds.), /New Cambridge History of the English Language/.
Cambridge: CUP.
Fuchs, R. (2025). *Influencing people around the globe - The linguistic
expression of persuasion across varieties of English worldwide*
<https://www.academia.edu/107491904/Influencing_people_around_the_globe_The_…>.
In D. Dayter, & S. Rüdiger (Eds.), /Manipulation, Influence, and
Deception: The Changing Landscape of Persuasive Language/, 135-156.
Cambridge: CUP.
The next meeting of the Edge Hill Corpus Research Group will take place online (via MS Teams) on Friday 6 March 2026, 10:00-11:30 am (GMT<https://time.is/United_Kingdom>).
Topics: LLMs, Corpus Linguistics, Language Learning
Speaker: Peter Crosthwaite<https://languages-cultures.uq.edu.au/profile/2845/peter-crosthwaite> (University of Queensland, Australia)
Title: Corpora, Prompts, and Pedagogy: Human-AI Text Comparison in Applied Linguistics
The abstract and registration link are here: https://sites.edgehill.ac.uk/crg/next
Attendance is free. Registration closes on Wednesday 4 March.
If you have problems registering, or have any questions, please email the organiser, Costas Gabrielatos (gabrielc(a)edgehill.ac.uk<mailto:gabrielc@edgehill.ac.uk>).
________________________________
Edge Hill University<http://ehu.ac.uk/home/emailfooter>
Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter>
University of the Year, Educate North 2021/21
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