Linköping University (Sweden) has open calls for one or more two-year postdoc positions (with the possibility of extension to a third year) within the Swedish Excellence Centre for Computational Social Science (SweCSS)<https://liu.se/en/research/swecss>, a joint initiative between the Institute for Analytical Sociology and the Department of Computer Science.
These positions are not limited to NLP, but can be based at the LiU NLP Group<https://liu-nlp.ai/> (or involve close collaboration with us) if the candidate indicates this. The positions are also not constrained to a particular research topic, but expertise in and plans for future research within computational social science are required.
Application deadline is June 3, 2025. There are two separate calls, one from each involved department — more information about the requirements, work environment, and application procedure can be found at the respective links:
* Apply at the Department of Computer Science (IDA): https://liu.se/en/work-at-liu/vacancies/26852 ⟵ NLP group is based here :)
* Apply at the Institute for Analytical Sociology (IAS): https://liu.se/en/work-at-liu/vacancies/26854
--
Marcel Bollmann, Dr. phil.
Associate Professor in Natural Language Processing
Department of Computer and Information Science, Linköping University, Sweden
www: https://marcel.bollmann.me/
Call for Industry & Use Case Presentations
The Industry & Use Case track at SEMANTiCS welcomes submissions that
present use cases and industry adoption of semantic technology. Solutions
that deal with semantic processing of data and/or information in areas like
Linked Data, Knowledge Graphs, Artificial Intelligence, Machine Learning,
Data Publishing, Thesaurus and/or Ontology management, and any related
fields. All submissions have a strong focus on real world applications
beyond the prototypical status and demonstrate the power of semantic
systems!
*Important dates*
-
*(Extended) Submission Deadline:* June 1, 2025 (11:59pm)
-
*Notification of Acceptance:* June 13, 2025 (11:59 pm)
-
*Presentation Ready:* August 18, 2025 (11:59 pm)
All deadlines are set for 11:59 pm, Anywhere On Earth time (UTC-12)
*Submission via Easychair on*
*https://easychair.org/conferences/?conf=semantics2025*
<https://easychair.org/conferences/?conf=semantics2025>. Please notice that
a paper abstract is not necessary, as your submission will only include a
presentation at SEMANTiCS and not a paper. Any submission should contain a
summary of 200 to 300 words that will be used in the final program. Your
submission must also include a full page description of the use case you
want to present, in particular: initial situation, approach, business value
and benefits of the semantic solution, prospects and recommendation.
Submissions that don’t meet these requirements cannot be taken into account.
Via Easychair, you can enter your summary in the field “Abstract”, and the
full page description via the “upload paper” button. The summary will
appear in the program on the webpage, the full page description will only
be used in the selection process.
*Topics of Interest*
SEMANTiCS 2025 especially invites contributions that target the following
main topics in the context of semantic-based research and systems as well
as applicative domains.
Topics of interest include, but are not limited to:
-
Large Language Models (LLM) combined with Knowledge Graphs
-
Enterprise Knowledge Graphs, Graph Data Management
-
Machine Learning Techniques for/using Knowledge Graphs (e.g.
reinforcement learning, deep learning, data mining and knowledge discovery)
-
Knowledge Management (e.g. acquisition, capture, extraction, authoring,
integration, publication)
-
Reasoning, rules and policies
-
Web Semantics & Linked (Open) Data
-
Natural Language Processing for/using Knowledge Graphs
-
Crowdsourcing for/using Knowledge Graphs
-
Semantics in Data Science
-
Trust, Data Privacy, and Security with Semantic Technologies
-
Authentication of knowledge graphs
-
IoT and Stream Processing, Linked Data Event Streams
-
Conversational AI and Dialogue Systems
-
Provenance and Data Change Tracking
-
Semantic Interoperability (via mapping, crosswalks, standards, etc.)
*Author Guidelines and Submission*
-
This call for presentations reaches out to professionals in the areas
related to the topics of SEMANTiCS for proposals to present industry
implementations, best practices and use case prototypes, to discuss
semantic systems in birds-of-a-feather sessions as well as informal
settings. Additionally, we explicitly encourage the submission of software
applications, apps or services that demonstrate the usefulness and benefits
of semantic technologies and semantic data management.
-
To contribute a submission for a presentation at SEMANTiCS 2025 please
prepare the following: Fill out the online application at Easychair and
give us relevant information about your expertise and your professional
background.
-
Please notice that a paper abstract is not necessary, as your submission
will only include a presentation at SEMANTiCS and not a paper. Any
submission should contain a summary of 200 to 300 words that will be used
in the final program. Your submission must also include a full page
description of the use case you want to present, iIn particular: initial
situation, approach, business value and benefits of the semantic solution,
prospects and recommendation. Submissions that don’t meet these
requirements cannot be taken into account.
-
Via Easychair, you can enter your summary in the field “Abstract”, and
the full page description via the “upload paper” button. The summary will
appear in the program on the webpage, the full page description will only
be used in the selection process.
-
All accepted submissions will be granted a presentation slot at the main
conference. Please stick to this time pattern when preparing your talk.
This is the only way we can guarantee a smooth and satisfying programme and
allow all conference participants to attend as many slots as possible
without missing important information.
-
Submissions must adhere to the fair use of Large Language Models. Please
refer to the SEMANTiCS full policy for more details:
https://2025-eu.semantics.cc/page/llm-policy
When your submission is accepted and you are preparing your talk, please
take care to address the following aspects:
-
*Initial Situation *What kind of challenge did you face in the beginning of
the project? What problems needed to be solved?
-
*Approach and IT-Solution *Which approach and methodology has been chosen
to tackle the problem(s)? How is your solution composed with respect to
technological aspects / human aspects / organisational aspects? How do the
semantic components support the process from data to knowledge?
-
*Success Criteria for / Benefit of the Semantic Solution *Which factors
(conscious and unconscious) have been crucial to the success of your
project? Which obstacles did you face? How can you measure the benefit of
your solution? How does the organisation benefit from your solution?
-
*Prospects and Recommendations *What are the next steps planned in your
project? Can you give recommendations with respect to development /
deployment of semantic solutions within organisational / corporate settings?
-
*Demo (if applicable) *Prepare a short demonstration of your tool / service.
*Review and Evaluation Criteria*
Every submission will be reviewed by the Programme Committee.
Submissions to this track will be evaluated according to the following
criteria:
-
Your presentation is relevant to industry and industrial purposes. It
illustrates how semantic technologies / solutions contribute to or improve
existing businesses and / or generate new ones.
-
The presented solution has already been deployed and / or has been
tested in a practical environment – at least prototypically.
-
Your presentation is well-structured and does bring across its message.
-
The topic is well described and covers enough explanations, examples,
use cases, graphics, etc.
-
Novelty: The topic covered is new to your industry – not necessarily new
to business in general
In case your presentation will be accepted, we will provide you with
detailed information on organisational matters according to the selection
of submissions and conference participation.
We are looking forward to your contribution!
Marco Brattinga
Artem Revenko
*Industry & Use Case Track Chairs*
--
DISCLAIMER: The contents of this email and any attachments are
confidential. They are intended for the named recipient(s) only. If you
have received this email by mistake, please notify the sender immediately
and you are herewith notified that the contents are legally privileged and
that you do not have permission to disclose the contents to anyone, make
copies thereof, retain or distribute or act upon it by any means,
electronically, digitally or in print. The views expressed in this
communication may be of a personal nature and not be representative of
AIMS-NEI and/or any of its Centres or Initiatives.
The test set for ADoBo 2025 shared task on automatic detection of borrowings in Spanish has been released and is now live on Codabench.
https://www.codabench.org/competitions/7284/
To gain access to the data, make submissions and check the leaderboard please join the competition at Codabench. Systems submissions will be due on May 26th. Updates on the task will be announced on ADoBo website and Google group.
https://adobo-task.github.io/https://groups.google.com/g/adobo-task
TIMELINE
April 21: Dev set released.<https://www.codabench.org/competitions/7284/>
May 12: Test set released<https://www.codabench.org/competitions/7284/>.
May 26: Systems output submissions.
June 9: Working notes paper submission.
June 16: Notification of acceptance (peer-reviews).
June 23: Camera ready paper submission.
September: ADoBo results to be presented at IberLEF 2025.
ORGANIZATION COMMITTEE
Elena Álvarez-Mellado, Universidad Nacional de Educación a Distancia (UNED).
Julio Gonzalo, Universidad Nacional de Educación a Distancia (UNED).
Constantine Lignos, Brandeis University.
Jordi Porta-Zamorano, Universidad Autónoma de Madrid (UAM).
AVISO LEGAL. Este mensaje puede contener información reservada y confidencial. Si usted no es el destinatario no está autorizado a copiar, reproducir o distribuir este mensaje ni su contenido. Si ha recibido este mensaje por error, le rogamos que lo notifique al remitente.
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Para más información visite nuestra Política de Privacidad<https://descargas.uned.es/publico/pdf/Politica_privacidad_UNED.pdf>.
Join us in Wolverhampton for a week of IR, AI, NLP, HCI and lots of discussion with experts in a friendly environment!
ELLIS ESSIR 2025, the European Summer School on Information Retrieval, will take place July 7-11 in Wolverhampton, UK.
https://2025.essir.eu/
The registration is open – https://2025.essir.eu/attending/registration
Travel support is available – https://2025.essir.eu/attending/travel-support
About the School
The European Summer School on Information Retrieval (ESSIR) is held regularly, providing high-quality teaching of Information Retrieval (IR) and advanced IR topics to an audience of researchers and research students. The mission of the school is to enable students to learn about modern research challenges and methods on IR and related disciplines like AI and NLP; to stimulate scientific research and collaboration in these fields; and to grow a community of researchers, students, and industry professionals working on IR with collaborations all around the world.
ELLIS ESSIR will offer a rich programme of high-profile and world leading lecturers in Information Retrieval, NLP and AI. Taught topics include:
Introduction to Information Retrieval and Evaluation
Generative AI and Information Retrieval
Scholarly Document Processing and Retrieval
UX and HCI with Information Retrieval
Neural Re-ranking
RAG and agentic IR
Explainability in AI
The Future Directions in Information Access (FDIA 2025) symposium will be held along ESSIR. More info later.
Please visit https://2025.essir.eu/ for further information, travel support and registration. For additional enquiries, please contact essir-2025(a)googlegroups.com <mailto:essir-2025@googlegroups.com>.
We are looking forward to welcoming you in Wolverhampton!
--
Prof. Dr. Ingo Frommholz (he/him), PhD, Dipl.-Inform., FBCS, FHEA
Professor of Applied Data Science, Modul University Vienna, Austria
Adjunct Professor, Bern University of Applied Sciences, Switzerland
Web: http://www.frommholz.org/ | Email: ifrommholz(a)acm.org
Bluesky: @ifromm.bsky.social | Mastodon: @ingo@idf.social
[Apologies for cross and multiple postings]
-------------------------------------------------------------------------------------------------------------------
CALL FOR PAPERS
The 26th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2025)
Conference: 15th - 21st December 2025
Modena, Italy
Conference website: https://conferences-website.github.io/prima2025
-------------------------------------------------------------------------------------------------------------------
IMPORTANT DATES
Abstract Submission Deadline: 15 July (AoE, UTC-12)
Paper Submission Deadline: 22 July (AoE, UTC-12)
Paper Notification: 29 September 2025 (AoE, UTC-12)
Camera Ready Submission: 13 October 2025 (AoE, UTC-12)
-------------------------------------------------------------------------------------------------------------------
We invite you to submit your best work on agents and multi-agent systems to PRIMA 2025, the 26th International Conference on Principles and Practice of Multi-Agent Systems, to be held in Modena (Italy) in December 2025.
Papers will be submitted through CMT at the link: https://cmt3.research.microsoft.com/PRIMA2025/Submission/Index
-------------------------------------------------------------------------------------------------------------------
Awards
To recognize outstanding contributions, PRIMA 2025 will have the following awards:
Aditya Ghose Best Paper Award – €1000 prize
Awarded to the best overall paper based on reviewers' scores and program committee discussions.
Martin Purvis Student Best Paper Award – €500 prize
Awarded to the best paper where the lead author is a student, based on the same evaluation criteria.
-------------------------------------------------------------------------------------------------------------------
Scope and Background
Software systems are rapidly becoming more intelligent in the functionality they offer to users. They are also becoming more decentralized, with components that act autonomously and must communicate among themselves or with human users to achieve their goals. Examples of such systems include those in healthcare, disaster management, e-business, and smart grids. A multi-agent perspective is crucial to the proper conceptualization, deployment, and governance of these systems. Rooted in solid computational and software engineering foundations, this perspective offers abstractions such as intelligent agents, protocols, norms, organizations, trust and incentives, among others. As a large, but still growing research field of artificial intelligence, multi-agent systems today remain a unique enabler of interdisciplinary research.
-------------------------------------------------------------------------------------------------------------------
Areas of Interest
The conference areas of interest include, but are not limited to:
Logic and Reasoning
Logics of Agency
Logics of Multi-Agent Systems
Logics of Belief and Knowledge
Norms, Obligations, Deontic Logic
Argumentation
Logics and Game Theory
Uncertainty in Agent Systems
Agent and Multi-Agent Learning
Reinforcement Learning
Evolutionary approaches
Machine Learning Problems in Multi-Agent Systems
Agents Embodied with Large Language Models
Engineering Multi-Agent Systems
Agent-Oriented Software Engineering
Interaction Protocols
Formal Specification and Verification
Agent Programming Languages
Middleware and Platforms
Testing, Debugging, and Evolution
Deployed System Case Studies
Agent-Based Modeling and Simulation
Simulation Languages and Platforms
Artificial Societies
Virtual Environments
Emergent Behavior
Modeling System Dynamics
Application Case Studies
Collaboration & Coordination
Multi-Agent Planning
Distributed Problem Solving and Optimization
Teamwork
Coalition Formation
Negotiation
Trust and Reputation
Commitments
Institutions and Organizations
Normative Systems
Algorithmic Game Theory
Auctions and Mechanism Design
Bargaining and Negotiation
Behavioral Game Theory
Cooperative Games: Theory, Analysis, Computation
Game Theory for Practical Applications
Noncooperative Games: Theory, Analysis, Computation
Computational Social Choice
Voting
Fair Division and Resource Allocation
Matching under Preferences
Coalition Formation Games
Aggregation of Beliefs, Opinions, Judgments
Ethics and Computational Social Choice
Participatory Budgeting
Facility Location
Communication Issues in Social Choice, Distortion
Behavioral Social Choice
Human-Agent Interaction
Adaptive Personal Assistants
Embodied Conversational Agents
Virtual Characters
Multimodal User Interfaces
Mobile Agents
Human-Robot Interaction
Affective Computing
Decentralized Paradigms
Cloud Computing
Service-Oriented Computing
Data spaces
Big data
Cybersecurity
Robotics and Multirobot Systems
Ubiquitous Computing
Social Computing
Internet of Things
Edge Computing
Blockchain
Ethics and Social Issues
Explainable Artificial Intelligence
Ethics of AI Systems
Multi-Agent Systems for Social Good
Application Domains for Multi-Agent Systems
Healthcare, Pandemics Management
Autonomous Systems
Transport and Logistics
Emergency and Disaster Management
Energy and Utilities Management
Sustainability and Resource Management
Games and Entertainment
e-Business, e-Government, and e-Learning
Smart Cities
Financial markets
Legal applications
Crowdsourcing
-------------------------------------------------------------------------------------------------------------------
Information for Authors
PRIMA 2025 invites submissions of original, unpublished work strongly relevant to multi-agent systems. Apart from theoretical work, we encourage the submission of reports on the development of applications or prototypes of deployed agent systems, and of experiments that demonstrate novel agent system capabilities. In addition to this, we also encourage the submission of position papers that are of relevance to the multi-agent community.
All submitted papers must be in a form suitable for double-blind review. Specifically, in order to make blind reviewing possible, authors must omit their names and affiliations from the paper. Also, while the references should include all published literature relevant to the paper, including previous work of the authors, it should not include unpublished works. When referring to one's own work, use the third person rather than the first person. For example, say "Previously, Foo and Bar [2] have shown that…", rather than "In our previous work [2], we have shown that…". Such identifying information can be added back to the final camera-ready version of accepted papers.
All papers will be reviewed by at least 2-3 experts in the area following a detailed review form that will assess the paper based on the significance and novelty of the idea, the technical description of the proposal, clarity and organization, the evaluation methodology, and any ethical considerations.
All accepted papers will be published in Springer's Lecture Notes in Artificial Intelligence series (LNCS/LNAI).
All papers must be submitted using the Springer LNCS/LNAI format.
Type of submissions:
Full papers, 16 pages plus references
Short papers, 4 pages plus references
Position papers, 2 pages plus references
Kind regards,
General Chairs:
Angelo Ferrando, University of Modena and Reggio Emilia (Italy)
Vadim Malvone, Télécom Paris (France)
Program Chairs:
Federico Bergenti, University of Parma (Italy)
Catalin Dima, Université Paris-Est Créteil (France)
We are pleased to invite submissions for the first Interdisciplinary
Workshop on Observations of Misunderstood, Misguided and Malicious Use of
Language Models (OMMM 2025). The workshop will be held with the RANLP 2025
conference in Varna, Bulgaria, on 11-13 September 2025.
*Overview*
The use of Large Language Models (LLMs) pervades scientific practices in
multiple disciplines beyond the NLP/AI communities. Alongside benefits for
productivity and discovery, widespread use often entails misuse due to
misalignment of values, lack of knowledge, or, more rarely, malice. LLM
misuse has the potential to cause real harm in a variety of settings.
Through this workshop, we aim to gather researchers interested in
identifying and mitigating inappropriate and harmful uses of LLMs. These
include misunderstood usage (e.g., misrepresentation of LLMs in the
scientific literature); misguided usage (e.g., deployment of LLMs without
adequate training or privacy safeguards); and malicious usage (e.g.,
generation of misinformation and plagiarism). Sample topics are listed
below, but we welcome submissions on any domain related to the scope of the
workshop.
*Important Dates*
Submission deadline: 6 July 2025, at 23:59 Anywhere on Earth
Notification of acceptance: 31 July 2025
Camera-ready papers due: 20 August 2025
Workshop dates: September 11, 12, or 13, 2025
*Submission Guidelines*
Submissions will be accepted as short papers (4 pages) and as long papers
(8 pages), plus additional pages for references. All submissions undergo a
double-blind review, so they should not include any identifying
information. Submissions should conform to the RANLP guidelines; for
further information and templates, please see
https://ranlp.org/ranlp2025/index.php/submissions/
We welcome submissions from diverse disciplines, including NLP and AI,
psychology, HCI, and philosophy. We particularly encourage reports on
negative results that provide interesting perspectives on relevant topics.
In-person presenters will be prioritised when selecting submissions to be
presented at the workshop, but the workshop will take place in a hybrid
format. Accepted papers will be included in the workshop proceedings in the
ACL Anthology.
Papers should be submitted on the RANLP conference system at
https://softconf.com/ranlp25/OMMM2025/
*Keynote Speaker*
We are excited to have Dr. Stefania Druga as the keynote speaker for the
inaugural OMMM workshop. Dr. Druga is a Research Scientist at Google
DeepMind, where she designs novel multimodal AI applications.
*Topics of Interest*
We welcome paper submissions on all topics related to inappropriate and
harmful uses of LLMs, including but not limited to:
- Misunderstood use (and how to improve understanding):
- Misrepresentation of LLMs (e.g., anthropomorphic language)
- Attribution of consciousness
- Interpretability
- Overreliance on LLMs
- Misguided use (and how to find alternatives):
- Underperformance and inappropriate applications
- Structural limitations and ethical considerations
- Deployment without proper training or safeguards
- Malicious use (and how to mitigate it):
- Adversarial attacks, jailbreaking
- Detection and watermarking of machine-generated content
- Generation of misinformation or plagiarism
- Bias mitigation and trust design
For more information, please refer to the workshop website:
https://ommm-workshop.github.io/2025/. For any questions, please contact
the organisers at ommm-workshop(a)googlegroups.com.
The organisers,
Piotr Przybyła, Universitat Pompeu Fabra
Matthew Shardlow, Manchester Metropolitan University
Clara Colombatto, University of Waterloo
Nanna Inie, IT University of Copenhagen
Hello,
Could you please distribute the following job offer? Thanks.
Best,
Pascal
-------------------------------------------------------------------------------------
3-year PhD position in Computational Models of Semantic Memory and its Acquisition (Inria and University of Lille, France)
We invite applications for a 3-year PhD position at the University of
Lille in the context of the recently funded research project
"COMANCHE" (Computational Models of Lexical Meaning and Change). The
position is funded by Inria, the French national research institute in
Computer Science and Applied Mathematics.
COMANCHE proposes to transfer and adapt neural word embeddings
algorithms to model the acquisition and evolution of word meaning, by
comparing them with linguistic theories on language acquisition and
language evolution. At the intersection between Natural Language
Processing, psycholinguistics and historical linguistics, this project
intends to validate or revise some of these theories, while also
developing computational models that are less data hungry and
computationally intensive as they exploit new inductive biases
inspired by these disciplines.
The first strand of the project, on which the successful candidate
will work, focuses on the development of computational models of
semantic memory and its acquisition. Two main research directions will
be pursued. On the one hand, we will compare the structural properties
associated to different semantic spaces derived from word embedding
algorithms to those found in human semantic memory as reflected in
behavioral data (such as typicality norms) as well as brain imaging
data. The latter data will then used as additional supervision to
inject more hierarchical structure into the learned semantic
spaces. One the other hand, we intend to experiment with training
regimes for word embedding algorithms that are closer to those of
humans when they acquire language, controlling the quantity as well as
the linguistic complexity of the inputs fed to the learning algorithms
through the use of longitudinal and child directed speech corpora
(e.g., CHILDES, Colaje). In both cases, both English and French data
will be considered.
The successful candidate holds a Master's degree in computational
linguistics or computer science or cognitive science and has prior
experience in word embedding models. Furthermore, the candidate will
provide strong programming skills, expertise in machine learning
approaches and is eager to work across languages.
The position is affiliated with the MAGNET team at Inria, Lille [1] as
well as with the SCALAB group at University of Lille [2] in an effort
to strenghten collaborations between these two groups, and ultimately
foster cross-fertilizations between Natural Language Processing and
Psycholinguistics.
Applications will be considered until the position is filled. However,
you are encouraged to apply early as we shall start processing the
applications as and when they are received. Applications, written in
English or French, should include a brief cover letter with research
interests and vision, a CV (including your contact address, work
experience, publications), and contact information for at least 2
referees. Applications (and questions) should be sent to Angèle
Brunellière (angele.brunelliere(a)univ-lille.fr) and Pascal Denis
(pascal.denis(a)inria.fr).
The starting date of the position is 1 October 2022 or soon
thereafter, for a total of 3 full years.
Best regards,
Angèle Brunellière and Pascal Denis
[1] https://team.inria.fr/magnet/
[2] https://scalab.univ-lille.fr/
--
Pascal
----
Pour une évaluation indépendante, transparente et rigoureuse !
Je soutiens la Commission d'Évaluation de l'Inria.
----
+++++++++++++++++++++++++++++++++++++++++++++++
Pascal Denis
Equipe MAGNET, INRIA Lille Nord Europe
Bâtiment B, Avenue Heloïse
Parc scientifique de la Haute Borne
59650 Villeneuve d'Ascq
Tel: ++33 3 59 35 87 24
Url: http://researchers.lille.inria.fr/~pdenis/
+++++++++++++++++++++++++++++++++++++++++++++++
***APOLOGIES FOR CROSS-POSTINGS — PLEASE FEEL FREE TO CIRCULATE***
CALL FOR PAPERS - INTERNATIONAL JOURNAL FOR THE SEMIOTICS OF LAW
SPECIAL ISSUE: Computational Forensic Linguistics: Law, Language and Evidence in the Virtual Worlds
Volume 39 (2026)
Guest Editor – Rui Sousa-Silva
(University of Porto – Faculty of Arts and Humanities & Centre for Linguistics of the University of Porto)
Forensic linguistics, the branch of linguistics applied to forensic contexts, is inherently multidisciplinary, although it predominantly stands at the intersection of language and the law. Despite its status as a young discipline, forensic linguistics is wide in scope, and has significantly contributed to a fair and just administration of Justice, especially since the late 1990s, across its three different areas: the written language of the law, interaction in legal contexts, and language as evidence (May, Sousa-Silva & Coulthard, ‘Introduction’, The Routledge Handbook of Forensic Linguistics, Routledge, 2021). The discipline is thus profoundly semiotic in nature, and has a significant impact on how law is interpreted and administered, and on how investigative processes are conducted. However, as a young discipline, it still faces methodological and technical challenges.
Forensic linguistics is often questioned as a science, for instance owing to the fact that forensic linguists can hardly, if ever, establish the known error rate, which is often demanded to meet the legal requirements (e.g., Daubert criteria) in some jurisdictions. It is also frequently distrusted as a science, and particularly as a forensic science, on the grounds that it is subjective. Furthermore, the perception that anyone – and hence legal professionals, including judges and counsellors – can “understand” the semiotics of language use and analyse language has often led the courts into believing that forensic linguists are dispensable. To counter these misconceptions about the field, forensic linguists have constantly researched and devised new methods, including statistical and computational approaches, to counter the “subjectivity effect”. Computational approaches, specifically, will play a core role in forensic linguistics: they not only allow forensic linguists to analyse large amounts of data quickly and systematically, but also enable the reproducibility of the forensic linguistic analysis, which can be essential in forensic sciences. This will be especially the case in the near future, with progress in the metaverse, as the seamless interaction between users via technology-mediated communication in the virtual worlds will raise even more issues that can only be resolved with the assistance of rigorous and transparent forensic linguistic analyses. Computational forensic linguistics, thus understood as the use of efficient and effective computational linguistics tools, methods and techniques in forensic contexts, will thus play an increasingly core role in forensic linguistics across the areas of written language of the law, interaction in legal contexts and, especially, language as evidence.
Original proposals that explore the relationship between the semiotics of law and one or more computational approaches to forensic linguistics are thus invited for the special issue “Computational Forensic Linguistics: Law, Language, Evidence and Rigour in the Virtual Worlds”. Submissions may range from (but not limited to) systems to help the courts interpret and draft just and fair decisions to software and tools to assist law enforcement agencies in the fight against crime, including platforms to support the investigation in the collection and analysis of evidence. Manuscripts should establish a clear connection between the semiotics of law, computational approaches and forensic linguistics/language and the law.
Submissions should be addressed to: Rui Sousa-Silva (rssilva(a)letras.up.pt).
- Abstracts of 300 words (maximum) by 15 May 2025.
- After selection, final papers (15,000 words maximum, including endnotes and references) should be submitted by 15 November 2025.
Further information: https://link.springer.com/collections/ebcefecdcf
Rui Sousa Silva
Faculdade de Letras, Universidade do Porto
Faculty of Arts and Humanities, University of Porto
www.linguisticaforense.pt | https://s.up.pt/qjur | http://tinyurl.com/37w2ec6x
Publicação mais recente / Latest publication: ‘We Attempted to Deliver Your Package’: Forensic Translation in the Fight Against Cross-Border Cybercrime
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The application deadline is approaching!
Tenure-track assistant professor of Natural Language Processing, jointly
atthe TU Wien Faculty of Informaticsand theComplexity Science Hubin
Vienna, Austria.
Details and application: https://jobs.tuwien.ac.at/Job/248962
Application Deadline: 22nd May 2025
A great opportunity to do basic research and work on interesting
problems and data from government administration and industry. The
working language at both the TU Wien Faculty of Informatics and the
Complexity Science Hub is English.
Complexity Science Hub - https://csh.ac.at/
Data Science Research Unit, TU Wien -
https://informatics.tuwien.ac.at/orgs/e194-04
Living in Vienna - https://informatics.tuwien.ac.at/living-in-vienna/
--
Allan Hanbury
Professor of Data Intelligence
Head of the Data Science Research Unit, Institute of Information Systems Engineering
Faculty Representative for Financial Affairs and Internationalization, Faculty of Informatics
TU Wien (Vienna University of Technology)
Favoritenstrasse 9-11/194-04
1040 Vienna, Austria
+43 1 58801 188310