Apologies for cross-posting
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*The Ninth Workshop on Technologies for Machine Translation of Low-Resource
Languages (LoResMT 2026)*
*https://www.loresmt.org/ <https://www.loresmt.org/>*
*@ EACL 2026 (March 24-29, 2026)*
*Rabat, Morocco*
*SUBMISSION*
ARR submission link:
https://openreview.net/group?id=eacl.org/EACL/2026/Workshop/LoResMT
*TIMELINE*
- Submission deadline: December 19, 2025 (Anywhere on Earth)
- Pre-reviewed (ARR) submission deadline: January 2, 2026
- Notification of acceptance: January 23, 2026
- Camera-ready paper due: February 3, 2026 (Anywhere on Earth)
- Pre-recorded video due (hard deadline): February 24, 2026
- Workshop dates at EACL 2026: TBD
- EACL 202 Main Conference: March 24-29, 2026
*SCOPE*
Based on the success of past low-resource machine translation (MT)
workshops at AMTA 2018, MT Summit 2019, AACL-IJCNLP 2020, AMTA 2021, COLING
2022, EACL 2023, ACL 2024, NAACL 2025, we introduce LoResMT 2026 workshop
at EACL 2025. The workshop provides a discussion panel for researchers
working on MT systems/methods for low-resource and under-represented
languages in general. We would like to help review/overview the state of MT
for low-resource languages and define the most important directions.
Fundamental work on low-resource languages in MT and NLP is still crucial
and unavoidable. We also solicit papers dedicated to supplementary natural
language processing (NLP) tools that are used in any language and
especially in low-resource languages. Overview papers of these NLP tools
are very welcome. It will be beneficial if the evaluations of these tools
in research papers include their impact on the quality of MT output.
*TOPICS*
We are highly interested in (1) original research papers, (2)
review/opinion papers, and (3) online systems on the topics below; however,
we welcome all novel ideas that cover research on low-resource languages.
- Neural machine translation for low-resource languages
- Work that presents online systems for practical use by native speakers
- Word tokenizers/de-tokenizers for specific languages
- Word/morpheme segmenters for specific languages
- Alignment/Re-ordering tools for specific language pairs
- Use of morphology analyzers and/or morpheme segmenters in MT
- Multilingual/cross-lingual NLP tools for MT
- Corpora creation and curation technologies for low-resource languages
- COVID-related corpora, their translations and corresponding NLP/MT systems
- Review of available parallel corpora for low-resource languages
- Research and review papers of MT methods for low-resource languages
- MT systems/methods (e.g. rule-based, SMT, NMT) for low-resource languages
- Pivot MT for low-resource languages
- Zero-shot MT for low-resource languages
- Fast building of MT systems for low-resource languages
- Re-usability of existing MT systems for low-resource languages
- Machine translation for language preservation
*SUBMISSION INFORMATION*
We are soliciting two types of submissions: (1) research, review, and
position papers and (2) system demonstration papers. For research, review
and position papers, the length of each paper should be at least four (4)
and not exceed eight (8) pages, plus unlimited pages for references. For
system demonstration papers, the limit is four (4) pages. Submissions
should be formatted according to the official ACL style templates
(Overleaf). Please refer to the EACL submission guidelines for further
information <https://2026.eacl.org/calls/papers/>. Accepted papers will be
published online in the EACL 2026 proceedings and will be presented at the
conference.
Submissions must be anonymized and should be done using the provided
submission system. Scientific papers that have been or will be submitted to
other venues must be declared as such and must be withdrawn from the other
venues if accepted and published at LoResMT. The review will be
double-blind. Authors of an accepted paper should present their paper in
person at EACL 2026. Papers should be submitted in PDF to the LoResMT Open
Review.
We would like to encourage authors to cite papers written in ANY language
that are related to the topics, as long as both original bibliographic
items and their corresponding English translations are provided.
Registration is handled by the main conference (
https://2026.eacl.org/registration).
*Shared Tasks: *
We are going to have a machine translation competition for several low
resource Turkic languages, namely, Chuvash, Bashkir, Tatar and Kazakh. The
pairs you can evaluate your models are: Chuvash-English, Chuvash-Russian,
Bashkir-English, Bashkir-Russian, Tatar-English, Kazakh-Russian.
Unfortunately, we cannot provide you with training data for these language
pairs, but nevertheless you can use any data you find useful or collect by
yourself. We expect you to share your findings as a report. Best reports
will be included in the LoResMT proceedings. for futher information please
visit to LoResMT website.
*ORGANIZING COMMITTEE (LISTED ALPHABETICALLY)*
Atul Kr. Ojha
Chao-Hong Liu
Ekaterina Vylomova
Flammie Pirinen
Jonathan Washington
Nathaniel Oco
Xiaobing Zhao
*CONTACT*
Please email loresmt(a)googlegroups.com if you have any
questions/comments/suggestions.
๐ฆ๐ฒ๐ฐ๐ผ๐ป๐ฑ ๐๐ป๐๐ฒ๐ฟ๐ป๐ฎ๐๐ถ๐ผ๐ป๐ฎ๐น ๐๐ผ๐ป๐ณ๐ฒ๐ฟ๐ฒ๐ป๐ฐ๐ฒ ๐ผ๐ป ๐ก๐ฎ๐๐๐ฟ๐ฎ๐น ๐๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ ๐ฃ๐ฟ๐ผ๐ฐ๐ฒ๐๐๐ถ๐ป๐ด ๐ฎ๐ป๐ฑ ๐๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ถ๐ฎ๐น ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ ๐ณ๐ผ๐ฟ ๐๐๐ฏ๐ฒ๐ฟ ๐ฆ๐ฒ๐ฐ๐๐ฟ๐ถ๐๐ (๐ก๐๐ฃ๐๐๐๐ฆโ๐ฎ๐ฌ๐ฎ๐ฒ)
University of Alicante, Alicante, Spain
11 and 12 June 2026
https://nlpaics2026.gplsi.es/
๐๐๐๐จ๐ง๐ ๐๐๐ฅ๐ฅ ๐๐จ๐ซ ๐๐๐ฉ๐๐ซ๐ฌ
Recent advances in Natural Language Processing (NLP), Deep Learning and Large Language Models (LLMs) have resulted in improved performance of applications. In particular, there has been a growing interest in employing AI methods in different Cyber Security applications.
In today's digital world, Cyber Security has emerged as a heightened priority for both individual users and organisations. As the volume of online information grows exponentially, traditional security approaches often struggle to identify and prevent evolving security threats. The inadequacy of conventional security frameworks highlights the need for innovative solutions that can effectively navigate the complex digital landscape to ensure robust security. NLP and AI in Cyber Security have vast potential to significantly enhance threat detection and mitigation by fostering the development of advanced security systems for autonomous identification, assessment, and response to security threats in real-time. Recognising this challenge and the capabilities of NLP and AI approaches to fortify Cyber Security systems, the Second International Conference on Natural Language Processing (NLP) and Artificial Intelligence (AI) for Cyber Security (NLPAICSโ2026) continues the tradition from NLPAICSโ2024 to be a gathering place for researchers in NLP and AI methods for Cyber Security. We invite contributions that present the latest NLP and AI solutions for mitigating risks in processing digital information.
๐๐ผ๐ป๐ณ๐ฒ๐ฟ๐ฒ๐ป๐ฐ๐ฒ ๐๐ผ๐ฝ๐ถ๐ฐ๐
The conference invites submissions on a broad range of topics related to the employment of NLP and AI (and in general, language studies and models) for Cyber Security including but not limited to:
- ๐๐ฐ๐ค๐ช๐ฆ๐ต๐ข๐ญ ๐ข๐ฏ๐ฅ ๐๐ถ๐ฎ๐ข๐ฏ ๐๐ฆ๐ค๐ถ๐ณ๐ช๐ต๐บ ๐ข๐ฏ๐ฅ ๐๐ข๐ง๐ฆ๐ต๐บ
- Content Legitimacy and Quality
- Detection and mitigation of hate speech and offensive language
- Fake news, deepfakes, misinformation and disinformation
- Detection of machine generated language in multimodal context (text, speech and gesture)
- Trust and credibility of online information
- User Security and Safety
- Cyberbullying and identification of internet offenders
- Monitoring extremist fora
- Suicide prevention
- Clickbait and scam detection
- Fake profile detection in online social networks
- Technical Measures and Solutions
- Social engineering identification, phishing detection
- NLP for risk assessment
- Controlled languages for safe messages
- Prevention of malicious use of ai models
- Forensic linguistics
- Human Factors in Cyber Security
- ๐๐ฑ๐ฆ๐ฆ๐ค๐ฉ ๐๐ฆ๐ค๐ฉ๐ฏ๐ฐ๐ญ๐ฐ๐จ๐บ ๐ข๐ฏ๐ฅ ๐๐ถ๐ญ๐ต๐ช๐ฎ๐ฐ๐ฅ๐ข๐ญ ๐๐ฏ๐ท๐ฆ๐ด๐ต๐ช๐จ๐ข๐ต๐ช๐ฐ๐ฏ๐ด ๐ง๐ฐ๐ณ ๐๐บ๐ฃ๐ฆ๐ณ ๐๐ฆ๐ค๐ถ๐ณ๐ช๐ต๐บ
- Voice-based security: Analysis of voice recordings or transcripts for security threats
- Detection of machine generated language in multimodal context (text, speech and gesture)
- NLP and biometrics in multimodal context
- ๐๐ข๐ต๐ข ๐ข๐ฏ๐ฅ ๐๐ฐ๐ง๐ต๐ธ๐ข๐ณ๐ฆ ๐๐ฆ๐ค๐ถ๐ณ๐ช๐ต๐บ
- Cryptography
- Digital forensics
- Malware detection, obfuscation
- Models for documentation
- NLP for data privacy and leakage prevention (DLP)
- Addressing dataset โpoisoningโ attacks
- ๐๐ถ๐ฎ๐ข๐ฏ-๐๐ฆ๐ฏ๐ต๐ณ๐ช๐ค ๐๐ฆ๐ค๐ถ๐ณ๐ช๐ต๐บ ๐ข๐ฏ๐ฅ ๐๐ถ๐ฑ๐ฑ๐ฐ๐ณ๐ต
- Natural language understanding for chatbots: NLP-powered chatbots for user support and security incident reporting
- User behaviour analysis: analysing user-generated text data (e.g., chat logs and emails) to detect insider threats or unusual behaviour
- Human supervision of technology for Cyber Security
- ๐๐ฏ๐ฐ๐ฎ๐ข๐ญ๐บ ๐๐ฆ๐ต๐ฆ๐ค๐ต๐ช๐ฐ๐ฏ ๐ข๐ฏ๐ฅ ๐๐ฉ๐ณ๐ฆ๐ข๐ต ๐๐ฏ๐ต๐ฆ๐ญ๐ญ๐ช๐จ๐ฆ๐ฏ๐ค๐ฆ
- Text-Based Anomaly Detection
- Identification of unusual or suspicious patterns in logs, incident reports or other textual data
- Detecting deviations from normal behaviour in system logs or network traffic
- Threat Intelligence Analysis
- Processing and analysing threat intelligence reports, news, articles and blogs on latest Cyber Security threats
- Extracting key information and indicators of compromise (IoCs) from unstructured text
- ๐๐บ๐ด๐ต๐ฆ๐ฎ๐ด ๐ข๐ฏ๐ฅ ๐๐ฏ๐ง๐ณ๐ข๐ด๐ต๐ณ๐ถ๐ค๐ต๐ถ๐ณ๐ฆ ๐๐ฆ๐ค๐ถ๐ณ๐ช๐ต๐บ
- Systems Security
- Anti-reverse engineering for protecting privacy and anonymity
- Identification and mitigation of side-channel attacks
- Authentication and access control
- Enterprise-level mitigation
- NLP for software vulnerability detection
- Malware Detection through Code Analysis
- Analysing code and scripts for malware
- Detection using NLP to identify patterns indicative of malicious code
- ๐๐ช๐ฏ๐ข๐ฏ๐ค๐ช๐ข๐ญ ๐๐บ๐ฃ๐ฆ๐ณ ๐๐ฆ๐ค๐ถ๐ณ๐ช๐ต๐บ
- Financial fraud detection
- Financial risk detection
- Algorithmic trading security
- Secure online banking
- Risk management in finance
- Financial text analytics
- ๐๐ต๐ฉ๐ช๐ค๐ด, ๐๐ช๐ข๐ด, ๐ข๐ฏ๐ฅ ๐๐ฆ๐จ๐ช๐ด๐ญ๐ข๐ต๐ช๐ฐ๐ฏ ๐ช๐ฏ ๐๐บ๐ฃ๐ฆ๐ณ ๐๐ฆ๐ค๐ถ๐ณ๐ช๐ต๐บ
- Ethical and Legal Issues
- Digital privacy and identity management
- The ethics of NLP and speech technology
- Explainability of NLP and speech technology tools
- Legislation against malicious use of AI
- Regulatory issues
- Bias and Security
- Bias in Large Language Models (LLMs)
- Bias in security related datasets and annotations
- ๐๐ข๐ต๐ข๐ด๐ฆ๐ต๐ด ๐ข๐ฏ๐ฅ ๐๐ฆ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ๐ด ๐ง๐ฐ๐ณ ๐๐บ๐ฃ๐ฆ๐ณ ๐๐ฆ๐ค๐ถ๐ณ๐ช๐ต๐บ ๐๐ฑ๐ฑ๐ญ๐ช๐ค๐ข๐ต๐ช๐ฐ๐ฏ๐ด
- ๐๐ฑ๐ฆ๐ค๐ช๐ข๐ญ๐ช๐ด๐ฆ๐ฅ ๐๐ฆ๐ค๐ถ๐ณ๐ช๐ต๐บ ๐๐ฑ๐ฑ๐ญ๐ช๐ค๐ข๐ต๐ช๐ฐ๐ฏ๐ด ๐ข๐ฏ๐ฅ ๐๐ฑ๐ฆ๐ฏ ๐๐ฐ๐ฑ๐ช๐คs
- Intelligence applications
- Emerging and innovative applications in Cyber Security
๐๐ฑ๐ฆ๐ค๐ช๐ข๐ญ ๐๐ฉ๐ฆ๐ฎ๐ฆ ๐๐ณ๐ข๐ค๐ฌ - ๐๐ถ๐ต๐ถ๐ณ๐ฆ ๐ฐ๐ง ๐๐บ๐ฃ๐ฆ๐ณ ๐๐ฆ๐ค๐ถ๐ณ๐ช๐ต๐บ ๐ช๐ฏ ๐ต๐ฉ๐ฆ ๐๐ณ๐ข ๐ฐ๐ง ๐๐๐๐ด ๐ข๐ฏ๐ฅ ๐๐ฆ๐ฏ๐ฆ๐ณ๐ข๐ต๐ช๐ท๐ฆ ๐๐
NLPAICS 2026 will feature a special theme track with the goal of stimulating discussion around Large Language Models (LLMs), Generative AI and ensuring their safety. The latest generation of LLMs, such as CHATGPT, Gemini, DeepSeek, LLAMA and open-source alternatives, has showcased remarkable advancements in text and image understanding and generation. However, as we navigate through uncharted territory, it becomes imperative to address the challenges associated with employing these models in everyday tasks, focusing on aspects such as fairness, ethics, and responsibility. The theme track invites studies on how to ensure the safety of LLMs in various tasks and applications and what this means for the future of the field. The possible topics of discussion include (but are not limited to) the following:
โข Detection of LLM-generated language in multimodal context (text, speech and gesture)
โข LLMs for forensic linguistics
โข Bias in LLMs
โข Safety benchmarks for LLMs
โข Legislation against malicious use of LLMs
โข Tools to evaluate safety in LLMs
โข Methods to enhance the robustness of language models
๐ฆ๐๐ฏ๐บ๐ถ๐๐๐ถ๐ผ๐ป๐ ๐ฎ๐ป๐ฑ ๐ฃ๐๐ฏ๐น๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป
NLPAICS welcomes high-quality submissions in English, which can take two forms:
โข Regular long papers: These can be up to eight (8) pages long, presenting substantial, original, completed, and unpublished work.
โข Short (poster) papers: These can be up to four (4) pages long and are suitable for describing small, focused contributions, ongoing research, negative results, system demonstrations, etc. Short papers will be presented as part of a poster session.
The conference will not consider and evaluate abstracts only.
Accepted papers, including both long and short papers, will be published as e-proceedings with ISBN will available online on the conference website at the time of the conference and are expected to be uploaded into the ACL Anthology.
To prepare your submission, please make sure to use the NLPAICS 2026 style files available here -
Latex - https://www.overleaf.com/read/sgwmrzbmjfhc#aeea77
Word - https://nlpaics2026.gplsi.es/wp-content/uploads/2025/11/NLPAICS2026_Proceedโฆ
Papers should be submitted through Softconf/START using the following link: https://softconf.com/p/nlpaics2026/user/
The conference will feature a student workshop, and awards will be offered to the authors of the best papers.
๐๐บ๐ฝ๐ผ๐ฟ๐๐ฎ๐ป๐ ๐ฑ๐ฎ๐๐ฒ๐
โข Submissions due: 16 March 2026
โข Reviewing process: 1 April โ 30 April 2026
โข Notification of acceptance: 5 May 2026
โข Camera-ready due: 19 May 2026
โข Conference camera-ready proceedings ready 1 June 2026
โข Conference: 11-12 June 2026
๐ข๐ฟ๐ด๐ฎ๐ป๐ถ๐๐ฎ๐๐ถ๐ผ๐ป
๐ฒฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒโฬฒ๐ฒฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒโฬฒ
Ruslan Mitkov (University of Alicante)
Rafael Muรฑoz (University of Alicante)
๐ฟฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒโฬฒ๐ฒฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒโฬฒ๐ฒฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ
Elena Lloret (University of Alicante)
Tharindu Ranasinghe (Lancaster University)
๐ฟฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒโฬฒ๐ฒฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ
Ernesto Estevanell (University of Alicante)
๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒโฬฒ๐ฒฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ
Andres Montoyo (University of Alicante)
๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒโฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒโฬฒ๐ฒฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ
Salima Lamsiyah (University of Luxembourg)
๐ฑฬฒ๐ฬฒ๐ฬฒ๐ฬฒโฬฒ๐ฟฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒโฬฒ๐ฐฬฒ๐ ฬฒ๐ฬฒ๐ฬฒ๐ฬฒโฬฒ๐ฒฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ
Saad Ezzini (King Fahd University of Petroleum & Minerals)
๐ฟฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ขฬฒโฬฒ๐ฒฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ
Beatriz Botella (University of Alicante)
๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒโฬฒ๐ฟฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒโฬฒ๐ฒฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ
Alba Bonet (University of Alicante)
๐ฉ๐ฒ๐ป๐๐ฒ
The Second International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICSโ2026) will take place at the University of Alicante and is organised by the University of Alicante GPLSI research group.
Further information and contact details
The follow-up calls will list keynote speakers and members of the programme committee once confirmed.
The conference website is https://nlpaics2026.gplsi.es/ and will be updated on a regular basis. For further information, please email nlpaics2026(a)dlsi.ua.es
Registration will open in February 2026.
Best Regards
Tharindu Ranasinghe
Dr Tharindu Ranasinghe | Lecturer in Security and Protection Science
School of Computing and Communications | Lancaster University
www.lancaster.ac.uk<https://www.lancaster.ac.uk/>
Dear all,
This is the second CfP for VarDial 2026 - The Thirteenth Workshop on NLP for Similar Languages, Varieties and Dialects (apologies for cross-posting):
โ
VarDial 2026: https://sites.google.com/view/vardial-2026/
VarDial 2026 will be colocated with EACL 2026 in Rabat, Morocco. We anticipate a discussion on computational methods and language resources for closely related languages, language varieties, and dialects.
We welcome papers dealing with one or more of the following topics:
- Language resources and tools for similar languages, varieties and dialects;
- Evaluation of language resources and tools applied to non-dominant language varieties;
- Cross-lingual transfer and adaptation of models to similar languages, varieties and dialects;
- Automatic identification of lexical variation;
- Automatic classification of language varieties;
- Machine translation between closely-related languages, language varieties and dialects;
- Corpus-driven studies in dialectology and language variation;
- Computational approaches to mutual intelligibility between dialects and similar languages;
- Text similarity and adaptation between language varieties;
- Linguistic issues in the adaptation of language resources and tools (e.g., cognate detection, semantic discrepancies, lexical gaps, false friends);
- Studies focusing on related creole languages and their lexifier languages;
- Studies focusing on diachronic language variation (e.g. phylogenetic methods, historical dialects).
In addition to the topics listed above, we also welcome papers dealing with diachronic language variation (e.g. phylogenetic methods, historical dialects).
Instructions for Authors
Submissions should be formatted according to the ACL Rolling Review template and submitted as a PDF. The review process will be double-blind. More information is on the website (https://sites.google.com/view/vardial-2026/).
Important Dates
- Direct Submission deadline: December 19, 2025
- Pre-reviewed (ARR) submission deadline: January 2, 2026
- Notification of acceptance: January 23, 2026
- Camera-ready paper due: February 3, 2026
- Workshop at EACL (hybrid): March 24-29, 2026 (exact date TBD)
Shared Task: Arabic Modeling In Your Accent (AMIYA)
VarDial 2026 will have a shared task on language modelling for dialectal Arabic (DA), where participants can contribute LLMs trained or adapted for DA. These will be evaluated using the AL-QASIDA benchmark (Robinson et al., 2025), an evaluation suite that comprehensively measures an LLMโs dialectal fidelity, understanding, generation quality, and MSA-DA diglossia in DA. More information: https://sites.google.com/view/vardial-2026/shared-tasks
- Training data release: November 30, 2025
- Registration deadline, eval data finalized: December 15, 2025
- System submission deadline: January 10, 2025
- System description paper deadline: January 20, 2025
Workshop Organizers
Yves Scherrer โ University of Oslo (Norway)
Noรซmi Aepli โ University of Pennsylvania (USA)
Verena Blaschke โ LMU Munich and Munich Center for Machine Learning (Germany)
Tommi Jauhiainen โ University of Helsinki (Finland)
Nikola Ljubeลกiฤ โ Joลพef Stefan Institute and University of Ljubljana (Slovenia)
Preslav Nakov โ Mohamed bin Zayed University of Artificial Intelligence (UAE)
Jรถrg Tiedemann โ University of Helsinki (Finland)
Marcos Zampieri โ George Mason University (USA)
Contact: yves.scherrer(a)ifi.uio.no or verena.blaschke(a)cis.lmu.de