# Learning with Small Data -- 3rd CfP
DEADLINE EXTENSION -- NEW!! also accepting non-archival 2p abstracts
Learning with Small Data
September 11-12, 2023
CLASP, University of Gothenburg
Come visit us in Gothenburg to our annual workshop organized within the
CLASP project activities!
Great topic, proceedings published in the ACL anthology, free registration,
free food (including gala dinner), amazing keynote speakers:
Aurélie Herbelot -- University of Trento
Tal Linzen -- NYU & Google
Danielle Matthews -- University of Sheffield
https://sites.google.com/view/learning-with-small-data/home
There is now an acute need for intensive research on the possibility of
effective learning with small data. Our 2023 conference, LSD, is devoted to
work on this problem, with application to computational linguistics.
Learning with Small Data will bring together researchers from various areas
to discuss the sustainability of current state of the art methods in
computational linguistics which rely on very large models, such as ChatGPT,
GPT2-3, BERT, and XLNet. The conference encourages contributions from
machine learning, computational linguistics, theoretical linguistics,
philosophy, cognitive science, and psycholinguistics, as well as from
artificial intelligence ethics and social policy. We hope to see innovative
technical proposals, and we will cultivate a wide spectrum of views within
a lively dialog on the issues that the conference addresses.
Types of submissions:
Short archival paper (4 pages + references)
Long archival paper (8 pages + references)
Student archival paper (6 pages + references)
New !!! Non-archival abstract (2 pages + references)
Non-archival submissions will be presented as posters. This is a great
opportunity to get feedback on new work that is in progress or to present
previously published work to a new audience.
To learn more about CLASP, please visit:
https://gu-clasp.github.io/
## Important Dates:
Submission deadline: 2023 May 5, anywhere on Earth
*New submission deadline extension: 2023 May 12, anywhere on Earth*
Notification of acceptance: 2023 June 12, anywhere on Earth
Camera ready: 2023 August 14, anywhere on Earth
Conference: 2023 September 11-12, not anywhere on Earth, but in Gothenburg
Additional details in our website:
https://sites.google.com/view/learning-with-small-data/home
We are looking to recruit three postdoctoral researchers in the MBZUAI
Department of Natural Language Processing to work with Prof. Ted Briscoe
and Dr. Ekaterina Kochmar on the applications of large language models to
the EdTech and FinTech domains.
The three projects will broadly focus on:
- Educational Dialog Systems
- Summarization of Financial Regulations
- Grammatical Error Correction with the focus on English and Modern
Standard Arabic
*Qualifications*
Applicants should have:
- A PhD degree (or be close to obtaining one) in a relevant field
- Strong background in natural language processing and/or machine
learning with substantial experience in NLP
- Strong programming skills in Python
- Knowledge of PyTorch and relevant NLP tools.
- Excellent command of English and strong communication and presentation
skills
*Application Instructions*
Apply via https://apply.interfolio.com/124150
The positions are available for 2 years initially starting 1st September
2023 with a possibility of subsequent renewal. The salary is tax-free and
competitive (approx. USD$75-100K) depending on experience. The benefits
include medical insurance, support with relocation and visa application, 30
calendar days vacation leave per year, and generous support for conference
attendance.
Informal enquiries concerning the projects can be directed to the Faculty
Affairs team facultyaffairs(a)mbzuai.ac.ae
Dear all,
The Student Research Workshop at EACL 2023 is organizing a career panel discussion on May 4th at 11:15-12:45 CEST. We gathered a great set of panelists at different levels of seniority and from different affiliation types (see below).
We invite students (but not limited to) attending EACL to take part in the panel where there will be room for questions from the audience.
The SRW EACL 2023 panelists will include:
Saif M. Mohammad
Dr. Saif M. Mohammad is a Senior Research Scientist at the National Research Council Canada (NRC). He received his Ph.D. in Computer Science from the University of Toronto. Before joining NRC, he was a Research Associate at the Institute of Advanced Computer Studies at the University of Maryland, College Park. His research interests are in Natural Language Processing (NLP), especially Lexical Semantics, Emotions and Language, Computational Creativity, AI Ethics, NLP for psychology, and Computational Social Science. He is currently an associate editor for Computational Linguistics, JAIR, and TACL, and Senior Area Chair for ACL Rolling Review.
Joakim Nivre
Joakim Nivre is Professor of Computational Linguistics at Uppsala University and Senior Researcher at RISE (Research Institutes of Sweden). He holds a Ph.D. in General Linguistics from the University of Gothenburg and a Ph.D. in Computer Science from Växjö University. His research focuses on data-driven methods for natural language processing, in particular for morphosyntactic and semantic analysis. He is one of the main developers of the transition-based approach to syntactic dependency parsing, described in his 2006 book Inductive Dependency Parsing and implemented in the widely used MaltParser system, and one of the founders of the Universal Dependencies project, which aims to develop cross-linguistically consistent treebank annotation for many languages and currently involves over 130 languages and over 500 researchers around the world. He has produced nearly 300 scientific publications and has over 22,000 citations according to Google Scholar (April, 2023). He is a fellow of the Association for Computational Linguistics and was the president of the association in 2017.
Ana Marasović
Ana Marasović is an Assistant Professor in the Kahlert School of Computing at the University of Utah. Her primary research interests are at the confluence of NLP, explainable AI, and multimodality. She aims to rigorously validate AI technologies and make human interaction with AI more intuitive. She was a Young Investigator at the Allen Institute for AI from 2019–2022. During that time, she also had a courtesy appointment in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. She obtained her PhD in 2019 from Heidelberg University. She received Best Paper Honorable Mention at ACL 2020 and Best Paper Award at SoCal 2022 NLP Symposium.
Christos Christodoulopoulos
Christos Christodoulopoulos is a Senior Applied Scientist at Amazon Research Cambridge, working on knowledge extraction and verification. He got his PhD at the University of Edinburgh, where he studied the underlying structure of syntactic categories across languages. Before joining Amazon, he was a postdoctoral researcher at the University of Illinois working on semantic role labeling and psycholinguistic models of language acquisition. He has been a co-organiser of the FEVER workshops, an area chair for various ACL conferences, and the general chair for the 2021 Truth and Trust Online conference.
André Martins
André Martins (PhD 2012, Carnegie Mellon University and University of Lisbon) is an Associate Professor at Instituto Superior Técnico, University of Lisbon, researcher at Instituto de Telecomunicações, and the VP of AI Research at Unbabel. His research, funded by a ERC Starting Grant (DeepSPIN) and other grants (P2020 project Unbabel4EU and CMU-Portugal project MAIA) include machine translation, quality estimation, structure and interpretability in deep learning systems for NLP. His work has received best paper awards at ACL 2009 (long paper) and ACL 2019 (system demonstration paper). He co-founded and co-organizes the Lisbon Machine Learning School (LxMLS), and he is a Fellow of the ELLIS society.
Student Research Workshop Co-Chairs
Elisa Bassignana, IT University of Copenhagen
Matthias Lindemann, University of Edinburgh
Alban Petit, University of Paris-Saclay Student
Research Workshop Faculty Advisors
Valerio Basile, University of Turin
Natalie Schluter, Apple and IT University of Copenhagen
Contact
The organizers of the workshop can be contacted by email at
eacl.srw23(a)gmail.com
More details can be found at https://sites.google.com/view/eacl2023srw
News: The submission deadline has been extended to the 12th of May
We invite you to participate in our multilingual stance classification shared task, as part of the Touché Lab, which will be held in conjunction with the CLEF'23 conference in Thessaloniki, Greece [1].
Context:
Participatory Democracy at the scale of a continent like Europe brings many difficulties due to the high diversity of languages and cultures. At the same time, Machine Learning is an interesting tool for stance recognition in a large-scale context, in terms of data size, but also regarding the topics and themes addressed or the languages employed by the participants. Public consultations of citizens using Online Participatory Democracy platforms offer this kind of setting and are good use cases for automatic stance recognition systems.
In the context of the Touché Lab at CLEF 2023 [2], we are proposing a shared task on data coming from the platform used during the Conference for the Future of Europe [2] which was inaugurated in 2021, where users can submit proposals and comment over them in any of the 24 official EU languages. A particularity of this platform is the use of a Machine Translation system in order to give the possibility to the users to interact between each others in their native languages, leading to what we call Intra-Multilingual data: pairs of proposal and comment in different languages.
[1] https://clef2023.clef-initiative.eu/
[2] https://touche.webis.de/
[3] https://futureu.europa.eu/
Tasks: Given a proposal on a socially important issue, the task is to classify whether a comment is in favor, against, or neutral towards the proposal.
Subtask1: Cross-debate Stance Classification.
Subtask2: All-data-available Classification
Learn more about this and other argumentation- and causality-related tasks at https://touche.webis.de/
Data available at https://touche.webis.de/clef23/touche23-web/multilingual-stance-classificat…
Register via the CLEF website: https://clef2023-labs-registration.dei.unipd.it/
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Important Dates
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Now open: Registration
Jan. 15, 2023: Development data available
May 10, 2023: Test data available
May 12, 2023: Approaches submission on the test data
June 5, 2023: Participant paper submission
July 7, 2023: Camera-ready participant papers submission
Sep. 18-21, 2023: Conference
One of the conference days: Touché Workshop on Argument and Causal Retrieval
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Special Announcements
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Touché Open Source Proceedings
Touché will host a collection of software developed by participants at GitHub.
The Touché team invite you to publish your software too and invite software submissions using TIRA [ https://www.tira.io/ ].
In case of questions / suggestions / etc., please reach us at touche(a)webis.de.
Best regards,
CoFE Team @ Touché
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PAN 2023: 2nd Call for Participation
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PAN is a series of shared tasks on authorship analysis, computational ethics, and originality. PAN 2023 will be held in conjunction with the CLEF conference in Thessaloniki.
We'd like to invite you to participate in the following shared tasks:
1. Cross-Discourse Type Authorship Verification
Given two texts from written and oral Discourse Types, determine if they are written by the same author.
2. Profiling Cryptocurrency Influencers with Few-shot Learning
Given a small set of tweets, determine the interest and intent of an influencer.
3. Multi-Author Writing Style Analysis
Given a document, determine at which positions the author changes.
4. Trigger Detection
Given a document, assign all appropriate trigger warning labels.
Find out more at:
pan.webis.de/clef23/pan23-web<http://pan.webis.de/clef23/pan23-web>
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Important Dates (tentative)
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Registration is open now.
May 10, 2023 - Early bird software submission (optional)
May 29, 2023 - Software submission
June 05, 2023 - Participant paper submission
June 23, 2023 - Peer review notification
July 07, 2023 - Camera-ready participant papers submission
Sep 18-21, 2023 - Conference
Dear colleagues,
We would like to draw your attention to the following event and would be grateful if you could help us spread the word:
Life Narrative and the Digital: An Interdisciplinary Conference and Workshop
26-27 September 2023
Austrian Centre for Digital Humanities and Cultural Heritage (ACDH-CH)
Austrian Academy of Sciences, Vienna
CfP open until: 26 May 2023
https://digital-bio-2023.acdh.oeaw.ac.at<https://digital-bio-2023.acdh.oeaw.ac.at/>
This two-day conference-plus-workshop brings together scholars and practitioners from different disciplines, communities, and career stages to explore the possibilities, uses, and challenges of digital methods and technologies for auto/biographical research and practice. We are particularly interested in the following questions:
* In what ways can digital methods and technologies aid the study and analysis of biographical data?
* How can the digital help us devise innovative pathways to the representation of historical individuals’ lives? (e.g. digital platforms)
* To what extent do digital formats of life narration tie in with new trends in auto/biographical scholarship and practice? (e.g. metabiography, relational biography, persona studies, group biography, object biography, etc.)
* How do we deal with uncertainty and the issue of data quality in the digital representation of biographical data?
The event will feature both a workshop and a conference track. The workshop (26 September) will be dedicated to short presentations of work-in-progress, with a strong focus on tools, technologies, software, and methods, and with an emphasis on feedback and exchange. The conference (27 September) follows a conventional format, with a mix of research papers and panel discussions, and will be open to the public. Participation in both formats is free of charge.
We invite proposals of max. 500 words via OpenReview (https://bit.ly/digital-bio-2023) for 15-minute (workshop) OR 20-minute (conference) contributions by 26 May 2023.
For more information, please consult our conference website, or contact us at amp(a)oeaw.ac.at.
Timo Frühwirth, Dimitra Grigoriou, Sandra Mayer
(conference organisers)
MMag.a Dimitra Grigoriou
FWF Project 'A Digital Edition of W. H. Auden's Letters to Stella Musulin' (FWF P 33754)
Austrian Centre for Digital Humanities and Cultural Heritage
Österreichische Akademie der Wissenschaften | Austrian Academy of Sciences
Bäckerstraße 13, 1010 Wien, Österreich | Vienna, Austria
T: +43 1 51581-2231
dimitra.grigoriou(a)oeaw.ac.at | www.oeaw.ac.at/acdh/projects/auden-musulin-papers<http://www.oeaw.ac.at/acdh/projects/auden-musulin-papers>
Follow us on Twitter.com/AMP_OEaW<https://twitter.com/oeaw>
Like us on Facebook.com/oeaw.at<https://www.facebook.com/oeaw.at/>
Find us on Instagram.com/oeaw.at<https://www.instagram.com/oeaw.at/>
Visit us on Youtube.com/c/oeawvideo<https://www.youtube.com/channel/UCY3rUdfN-VCjvfUWojWkayQ>
Dear Candidate,
At the Signals and Interactive Systems Lab (University of Trento, Italy) we are looking for highly motivated
and talented graduate students to join our research team and work on Conversational Artificial Intelligence.
Conversational Artificial Intelligence includes the following research areas:
- Natural Language Processing
- Dialogue Modeling and Systems
- Affective Computing
The SIS Lab has been training intelligent machines and evaluating AI-based systems in the last three decades
in many industry sectors from fintech to health.
The lab research team is interdisciplinary and attracts researchers from computational linguistics, psychology,
applied math, biomedical and electrical engineering and computer science.
Research projects and demos can be found at the lab website : http://sisl.disi.unitn.it <http://sisl.disi.unitn.it/> .
The candidates should have strong background, past achievement records in the areas of
Conversational Research and/or Engineering.
The official language (research and graduate teaching) of the department is English.
AVAILABLE POSITIONS
• Six months funded research fellowships: approximately 1600 Euro/month gross amount .
• Three-year funded Phd fellowships: approximately 1600 Euro/month gross amount .
For more information about cost of living in the area
please visit the website :https://iecs.unitn.it/prospective-student <https://iecs.unitn.it/prospective-student>
DEADLINES
Openings with start date as early as June 2023.
Positions open until filled.
REQUIREMENTS
MANDATORY ( for both positions )
- Master degree in Computer Science, Electrical Engineering, Computational Linguistics, Machine Learning or
similar or related disciplines.
- Proficiency in Machine Learning
- Excellent academic records
- Excellent programming skills
- Excellent command of oral and written English
- Good knowledge of most of the following: experimental design methodology and statistics,
natural language processing , machine learning methods
- Excellent team-work skills
HOW TO APPLY
Interested applicants should mention the position they are applying and send their CV to:
Email: sisl-jobs(a)disi.unitn.it <mailto:sisl-jobs@disi.unitn.it>
For more info:
The Signals and Interactive Systems Lab: http://sisl.disi.unitn.it <http://sisl.disi.unitn.it/>
The PhD School: https://iecs.unitn.it <https://iecs.unitn.it/>
The Department Information Engineering and Computer Science Department @ University of Trento: www.disi.unitn.it <http://www.disi.unitn.it/>
**** We apologize for the multiple copies of this email. In case you are
already registered to the next webinar, you do not need to register
again. ****
Dear colleague,
We are happy to announce the next webinar in the Language Technology
webinar series organized by the HiTZ research center (Basque Center for
Language Technology, http://hitz.eus). We are organizing one seminar
every month. You can check the videos of previous webinars and the
schedule for upcoming webinars here: http://www.hitz.eus/webinars Next
webinar:
* *Speaker*: Martin Cooke (Ikerbasque – Basque Foundation for Science)
* *Title*: Who needs big data? Listeners' adaptation to extreme forms
of variability in speech
* *Date*: May 4, 2023, 15:00 CET
* *Summary*: No theory of speech perception can be considered complete
without an explanation of how listeners are able to extract meaning
from severely degraded forms of speech. Starting with a brief
overview of a century of research which has seen the development of
many types of distorted speech, followed by some anecdotal evidence
that automatic speech recognisers still have some way to go to match
listeners' performance in this area, I will describe the outcome of
one recent [1] and several ongoing studies into the detailed time
course of a listener's response to distorted speech. These studies
variously consider the rapidity of adaptation, whether adaptation
can only proceed if words are recognised, the degree to which the
response to one form of distortion is conditioned on prior
experience with other forms, and the nature of adaptation in a
language other than one's own native tongue. Taken together,
findings from these experiments suggest that listeners are capable
of continuous and extremely rapid adaptation to novel forms of
speech that differ greatly from the type of input that makes up the
vast bulk of their listening experience. It is an open question as
to whether big-data-based automatic speech recognition can offer a
similar degree of flexibility. [1] Cooke, M, Scharenborg, O and
Meyer, B (2022). The time course of adaptation to distorted speech.
J. Acoust. Soc. Am. 151, 2636-2646. 10.1121/10.0010235
*Bio:* Martin Cooke is Ikerbasque Research Professor. After starting
his career in the UK National Physical Laboratory, he worked at the
University of Sheffield for 26 years before taking up his current
position. His research has focused on analysing the computational
auditory scene, devising algorithms for robust automatic speech
recognition and investigating human speech perception. His interests
also include the effects of noise on talkers as well as listeners,
and second language listening in noise.
# *Upcoming webinars*:
* Pascale Fung (June 1)
Check past and upcoming webinars at the following url:
http://www.hitz.eus/webinars If you are interested in participating,
please complete this registration form:
http://www.hitz.eus/webinar_izenematea
If you cannot attend this seminar, but you want to be informed of the
following HiTZ webinars, please complete this registration form instead:
http://www.hitz.eus/webinar_info
Best wishes,
HiTZ Zentroa
We are looking for a highly motivated research assistant to work on a
BMBF-funded project focused on anonymization techniques for
semi-structured, longitudinal patient data. The successful candidate will
work closely with partners at the German Research Center for Artificial
Intelligence (DFKI) and the Charité - Universitätsmedizin Berlin.
Responsibilities will include developing and testing different
anonymization techniques, analyzing the performance of machine learning
models in the context of anonymization, and communicating project progress
and results to relevant stakeholders. The position offers opportunities for
pursuing a doctorate and publishing research results in scientific journals
and conferences.
Qualified candidates will have a completed university degree in computer
science or computational linguistics, excellent programming skills in
Python, and a strong background in machine learning/NLP. Previous
experience in the field of anonymization and/or synthesization of data is
an advantage.
The Quality and Usability Lab offers an agile and lively international and
interdisciplinary environment for working in a self-determined manner. If
you are interested in contributing to cutting-edge research and working
with a dynamic team, please apply!
More information can be found here:
https://www.jobs.tu-berlin.de/stellenausschreibungen/164717?language=en
If you have got questions, do not hesitate to contact me.
------
Dr. Roland Roller
Senior Researcher
DFKI Lab Berlin, Alt Moabit 91c, D-10559 Berlin, Germany
Phone +49 30 23895 1847
Email: roland.roller(a)dfki.de
3rd and Final Call for Papers
*International Conference on CMC and Social Media Corpora for the Humanities*
14–15th September 2023, University of Mannheim, Germany
The 10th International Conference on Ccomputer-mediated Communication and Social Media Corpora for the Humanities (CMC-Corpora) will be held at the University of Mannheim, Germany in collaboration with the Leibniz Institute for the German Language (IDS). Specialized corpora of the language of CMC and social media are increasingly vital for the analysis of the “unparalleled and rapidly evolving diversity in terms of speakers and settings” in digital contexts, as well as of “language evolution seen through the lens of user-generated content, which gives access to a number of variants, socio- and idiolects” (Barbaresi 2019: 29-30). The conference brings together language-centered research on CMC and social media in linguistics, philologies, communication sciences, media, and social sciences with research questions from the fields of corpus and computational linguistics, language technology, text technology, and machine learning. It features research in which computational methods and tools are used for language-centered empirical analysis of CMC and social media phenomena as well as research on building, processing, annotating, representing, and exploiting CMC and social media corpora, including their integration in digital research infrastructures. We adhere to a wide definition of CMC and Social Media, covering various media of digital communication, including email, newsgroups, forums, chat and messenger applications (e.g. WhatsApp), social networks (Facebook, Instagram), gaming platforms, as well as interactions in the communication areas of video portals (YouTube), learning platforms, gaming apps, online games and virtual worlds.
We invite submissions on CMC-related topics, including but not limited to:
* Development of CMC corpora / social media corpora
* Building CMC corpora: from data collection to publication
* Open access data for CMC research: ethical and GDPR issues
* Annotating CMC data: genres, linguistic aspects, metadata
* Multimodal corpora
* Big data corpora
* Legal issues concerning the sampling, distribution and (long-term) archiving of social media data
* Analysis of CMC corpora / social media corpora
* Sociolinguistic studies of CMC
* Discourse analysis of CMC
* Linguistic characteristics of CMC
* Multimodal (incl. visual) aspects of CMC
* Multilingualism and code-switching in CMC
* CMC in language education
* Natural language processing (NLP) of CMC data / social media data
* Normalization
* PoS tagging
* Anonymisation and Pseudonymisation
* Lemmatization
* Syntactic parsing
* Semantic Annotation
============================
*Confirmed keynote speakers*
============================
Unn Røyneland, University of Oslo
Tatjana Scheffler, Ruhr-Universität Bochum
=================
*Important Dates*
=================
* Abstract submission: Extended deadline 21 May, 23:59 CEST
* Notification of acceptance: Friday, 30 June 2023, 23:59 CEST
* Deadline revised abstract submission: Sunday, 6 August 2023, 23:59 CEST
* Deadline registration for participation: Sunday, 20 August 2023, 23:59 CEST
* Arrival, Get-together: Wednesday, 13 September 2023
* Conference: Thursday 14 - Friday 15 September 2023
============
*Submission*
============
We invite submissions for talks and for posters or software/corpus demonstrations on any topic relevant to the list of themes mentioned above. We invite two types of submissions:
* short papers (2-4 pages including references, following the existing template) for oral presentations
* abstracts (max. 300 words) for poster presentations
Each paper and abstract will be double blind peer reviewed by two or
three members of the scientific committee. Authors of accepted papers
can present their work at the conference (30 minute time slots: 20
minute talks, followed by 10 minutes of discussion). Authors of
accepted abstracts can present their work in progress, early-stage
research, software/corpus demonstrations during the poster session. At
the start of the conference, all accepted papers will be made
available in online proceedings. After the conference, speakers with
the best short papers will be invited to submit extended papers for a
special issue journal or a volume publication.
*Instructions for authors*
All submissions have to be written in English and have to be
anonymised. The short papers for oral presentations should not exceed
4 pages and the paper format should adhere to the template which you
can download from the links below. The abstracts for poster
presentations should not exceed 300 words, bibliographical references
not included. All contributions will be collected through the online
platform EasyChair under the link
https://easychair.org/conferences/?conf=cmc2023). (If you do not have
an EasyChair account, you need to create one first.)
Template for MSWord (40 kB): https://www.uni-mannheim.de/media/Lehrstuehle/phil/deutsche_philologie/LS_G…
Template for LaTeX (260 kB): https://www.uni-mannheim.de/media/Lehrstuehle/phil/deutsche_philologie/LS_G…
For all enquiries, please contact the organizers at cmc-corpora2023(a)uni-mannheim.de
We look forward to seeing you there!
The organizing committee:
Jutta Bopp, Louis Cotgrove, Laura Herzberg, Harald Lüngen, Andreas Witt
Conference website: https://www.uni-mannheim.de/cmc-corpora2023/
======================
*Scientific Committee*
======================
* Paul Baker (Lancaster University)
* Adrien Barbaresi (Berlin-Brandenburgische Akademie der Wissenschaften)
* Michael Beißwenger (University of Duisburg-Essen)
* Mario Cal-Varela (Universidade de Santiago de Compostela)
* Steven Coats (University of Oulu)
* Luna DeBruyne (Ghent University)
* Orphée DeClercq (Ghent University)
* Francisco-Javier Fernández-Polo (University of Santiago de Compostela)
* Jenny Frey (European Academy of Bozen)
* Alexandra Georgakopoulou-Nunes (King's College London)
* Klaus Geyer (University of Southern Denmark)
* Aivars Glaznieks (Eurac Research Bolzano)
* Claire Hardaker (Lancaster University)
* Iris Hendrickx (Radboud University Nijmegen)
* Axel Herold (Berlin-Brandenburgische Akademie der Wissenschaften)
* Lisa Hilte (University of Antwerp)
* Mai Hodac (Université Toulouse)
* Wolfgang Imo (University of Hamburg)
* Pawel Kamocki (IDS Mannheim)
* Erik-Tjong Kim-Sang (Netherlands eScience Center)
* Alexander Koenig (CLARIN ERIC)
* Florian Kunneman (Vrije Universiteit Amsterdam)
* Marc Kupietz (IDS Mannheim)
* Els Lefever (Ghent University)
* Julien Longhi (Cergy Paris Université)
* Maja Miličević-Petrović (University of Bologna)
* Nelleke Oostdijk (Radboud University)
* Celine Poudat (Université Côte d'Azur)
* Thomas Proisl (Friedrich-Alexander-Universität Erlangen-Nürnberg)
* Ines Rehbein (University of Mannheim)
* Sebastian Reimann (Ruhr-Universität Bochum)
* Unn Røyneland (University of Oslo)
* Müge Satar (Newcastle University)
* Tatjana Scheffler (Ruhr-Universität Bochum)
* Stefania Spina (Università per Stranieri di Perugia)
* Egon Stemle (Eurac Research)
* Caroline Tagg (The Open University)
* Simone Ueberwasser (University of Zurich)
* Lieke Verheijen (Radboud University)