Dear colleagues,
The submission deadline for the 6th Workshop on Computational Perspectives on Social Science (CPSS 2026), co-located with KONVENS 2026 in Hamburg, has been extended to ***July 10, 2026 (AoE)***.
CPSS brings together researchers from NLP, Computational Linguistics, Computational Social Science, and Computational Political Science to foster interdisciplinary exchange on computational approaches to studying social and political phenomena.
This year’s special theme is:
Can (and should) LLMs simulate human perspectives?
We especially invite submissions on the simulation of human perspectives with LLMs, including questions related to ethics, bias, data quality, evaluation, and reproducibility. We also welcome contributions on the broader spectrum of Computational Social Science and NLP, including topics such as language model bias, modeling complex social concepts, political communication, synthetic and human data quality, data leakage, open science, and interdisciplinary methodologies.
We invite three submission types:
* Archival papers (long and short papers, also via ARR)
* Non-archival abstracts (1 page) describing ongoing or previously published work
* PhD Forum submissions (2 page abstracts) for doctoral researchers at all stages
Important dates
* Direct submissions (archival and non-archival): July 10, 2026 (AoE)
* ARR submissions (archival only): July 15, 2026
* Notification of acceptance: August 7, 2026
For the full Call for Papers and submission details, please visit:
https://sites.google.com/view/cpss2026konvens/home-page
We look forward to your submissions and hope to welcome you to Hamburg this September!
Best regards,
The CPSS 2026 Organizing Committee
***ENGLISH VERSION BELOW***
PRAZO DE CANDIDATURA: 7 DE JULHO DE 2026
Estão abertas as candidaturas ao Curso de Especialização em Linguística Forense da Universidade do Porto (7ª edição).
Este curso, o primeiro curso de pós-graduação de 60 ECTS no espaço de língua portuguesa dedicado à linguística forense, reflete o papel pioneiro da Universidade do Porto no desenvolvimento de formação académica especializada nesta área. O curso, concebido em modo b-learning para proporcionar preparação avançada na interseção entre linguagem, direito e justiça, oferece um currículo rigoroso, inovador e altamente relevante para graduados e profissionais que desejam aprofundar a sua especialização em linguística forense.
Através de uma combinação de fundamentos teóricos e aplicações práticas, o curso visa reforçar a competência analítica e apoiar o desenvolvimento profissional em áreas de crescente relevância social e institucional. Esta formação constitui uma oportunidade distinta para aqueles que desejam envolver-se com uma das áreas mais dinâmicas e especializadas do estudo da linguagem.
Enquanto universidade pública, a Universidade do Porto oferece este programa a um nível de propinas comparativamente acessível, tornando a educação especializada de elevada qualidade mais acessível a um leque mais amplo de pessoas candidatas.
As candidaturas estão abertas até 7 de julho de 2026.
Para mais informações, não hesite em entrar em contacto, ou visite https://sigarra.up.pt/flup/pt/cur_geral.cur_view?pv_curso_id=13881
***ENGLISH VERSION***
APPLICATION DEADLINE: 7 JULY 2027
We are pleased to announce that applications are now open for the Specialisation Course in Forensic Linguistics at the University of Porto (the 7th cohort of the programme).
This programme, the first 60 ECTS-credit postgraduate course in the Portuguese-speaking arena dedicated to forensic linguistics, reflects the University of Porto's pioneering role in the development of specialised academic training in this field. The course, which was designed to provide advanced preparation at the intersection of language, law, and justice, offers a rigorous, innovative and highly relevant curriculum for graduates and professionals seeking to further their expertise in forensic linguistics.
Through a combination of theoretical foundations and practical applications, the course aims to strengthen analytical competence and support professional development in areas of growing social and institutional relevance. It stands as a distinctive opportunity for those who wish to engage with one of the most dynamic and specialised areas of linguistic study.
As a public university, the University of Porto is able to offer this programme at a comparatively accessible tuition level, making high-quality specialised education more attainable for a broader range of candidates.
Applications are open until 7 July 2026.
Please do not hesitate to reach our to us for further information - or visit https://sigarra.up.pt/flup/pt/cur_geral.cur_view?pv_curso_id=13881
All best
Rui
Rui Sousa Silva
Professor Auxiliar / Assistant Professor
NORTE IA+ | Principal Investigator
Faculdade de Letras, Universidade do Porto | Faculty of Arts and Humanities, University of Porto
www.linguisticaforense.pt<http://www.linguisticaforense.pt/> | https://s.up.pt/qjur | http://tinyurl.com/37w2ec6x | norteia.pt<http://www.norteia.pt/>
Publicação mais recente / Latest publication: “The facts speak for themselves”: dismantling conspiracy theories as disinformation<https://www.degruyterbrill.com/document/doi/10.1515/lingvan-2024-0160/html>
Escola Prática, Curso de Especialização em Linguística Forense<https://sigarra.up.pt/flup/pt/cur_geral.cur_view?pv_curso_id=13881>
Selo INOVPED - Inovação Educativa 2025
NORTE2030-FEDER-02724200 | NORTE 2030 - Programa Operacional Regional do Norte (NORTE 2030 - Projetos Integrados ICDT), Portugal 2030 e Comissão Europeia.Comissão de Coordenação e Desenvolvimento Regional do Norte - www.norteia.pt<http://www.norteia.pt/>
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FIRST CALL FOR PAPERS
The 4th Workshop on Artificial Intelligence for Scientific Publications
(WASP 2026)
Co-located with IJCNLP-AACL 2026
November 9, 2026, Online
Website: https://ui.adsabs.harvard.edu/WIESP/2026/ [1]
Submissions (OpenReview):
https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2026/Workshop/WASP
[2] ====================================================================
OVERVIEW
The scientific literature now grows faster than anyone can read it. The
claims, evidence, named entities, relations, and citations that
researchers rely on remain in unstructured text rather than in any form
a machine can use directly. Turning that text into structured,
machine-readable knowledge is a central problem in NLP, and many of the
questions it raises remain open.
WASP 2026 brings together researchers working to extract, structure, and
mine knowledge from scholarly publications. As large language models
reshape how scientific text is parsed, mined, and synthesized, this
iteration keeps information extraction at its center while broadening to
the full pipeline that turns publications into usable knowledge, from
summarization and retrieval to evaluation and the responsible use of
LLMs in scientific publishing.
WASP continues a series that began as the Workshop on Information
Extraction from Scientific Publications (WIESP) at AACL-IJCNLP 2022 and
IJCNLP-AACL 2023, and grew into WASP at IJCNLP-AACL 2025.
TOPICS OF INTEREST (not limited to)
- Scientific document parsing and structured information extraction;
citation context/span extraction and citation-based knowledge mining
- Scientific named-entity recognition and concept identification
- Scientific literature quality assessment and automated peer review
assistance
- Argument extraction and scientific discourse analysis
- Scientific article summarisation and headline generation
- Question-answering and fact retrieval from scientific literature
- Pretraining and fine-tuning LLMs on scientific corpora
- Evaluation and alignment of LLMs for scientific understanding
- AI-assisted scientific discovery and hypothesis generation
- Cross-lingual scientific knowledge transfer and multilingual
publication processing
- Scientific trend analysis and research gap identification
- Reproducibility and replicability analysis in scientific publications
- Ethical and responsible use of LLMs in scientific publishing
- Automated metadata generation and semantic tagging of scientific
publications
- Scientific plagiarism detection and research integrity monitoring
- Scientific collaboration network analysis and co-authorship prediction
- Automated scientific writing assistance and manuscript generation
- Scientific image and figure analysis in publications
SUBMISSION
Long papers: up to 8 pages of content (9 in the camera-ready), plus
unlimited references.
Short papers: up to 4 pages of content (5 in the camera-ready), plus
unlimited references.
All submissions are double-blind and must follow the host venue
formatting guidelines and ACL template files. We follow AACL-IJCNLP 2026
policies on anonymity, preprints, and double submissions. Accepted
papers will appear in the WASP 2026 proceedings in the ACL Anthology.
Submit via OpenReview:
https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2026/Workshop/WASP
[2]
SHARED TASK
WASP 2026 will host a shared task. Details and a separate call for
papers will be announced soon. System description papers will undergo
light peer review and appear in the proceedings.
IMPORTANT DATES (Anywhere on Earth)
*
Paper submission deadline (WASP): September 14, 2026
*
Registration deadline for shared task: [TBA]
*
System Run and Output Submission (shared task): [TBA]
*
System Paper Submission (shared task): [TBA]
*
Notification of acceptance (WASP + Shared Task): October 1, 2026
*
Camera-ready deadline (WASP + Shared Task): October 12, 2026
*
Workshop: November 9, 2026
ORGANIZERS
- Atilla Kaan Alkan, Center for Astrophysics | Harvard & Smithsonian,
USA
- Alberto Accomazzi, Center for Astrophysics | Harvard & Smithsonian,
USA
- Tirthankar Ghosal, Oak Ridge National Laboratory, USA
- Felix Grezes, Center for Astrophysics | Harvard & Smithsonian, USA
- Kelly Lockhart, Center for Astrophysics | Harvard & Smithsonian, USA
CONTACT
For inquiries: Atilla Kaan Alkan, atilla.alkan(a)cfa.harvard.edu
We look forward to your contributions.
Links:
------
[1] https://ui.adsabs.harvard.edu/WIESP/2026/
[2]
https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2026/Workshop/WASP
Call for Presentations and papers
47th Translating and the Computer Conference (TC47)
Luxembourg, 8 to 10 December 2026
https://asling.org/tc47/ [1]
AI-assisted or AI-eclipsed? Language services between promise and
pressure
AsLing invites submissions for the 47th edition of the Translating and
the Computer Conference (TC47), to be held from 8 to 10 December 2026 in
Luxembourg.
The TC conference series brings together professionals, researchers,
developers and decision-makers from the language industry, academia and
public institutions. TC47 will explore how technological innovation -
particularly AI - is reshaping multilingual communication, raising new
questions about human agency, professional ethics, and sustainable
practices in the language services sector.
Conference theme
_AI-assisted or AI-eclipsed? Language Services between Promise and
Pressure_
_ _
From Machine Translation and LLMs applied to translation, language
professionals face unprecedented change. TC47 invites reflection on how
to navigate this evolving landscape - to ensure that technology empowers
rather than eclipses, and that multilingual communication remains
inclusive, trusted and professionally grounded.
We especially welcome contributions exploring:
* Synergy between human expertise and AI-powered tools
* The role of AI in promoting or undermining inclusion and equity
* Strategies for sustainable and ethical language services
* Cross-sector collaboration between academia, industry, and
institutions
Submissions not focused on AI are equally welcome, particularly those
addressing broader trends in multilingual communication, training,
translation workflows, and evolving professional practices.
We also welcome critical reviews and discussions on:
* The broader impact of AI and automation on the language industry
* Implications for training, education and career development of
language professionals
* Coexistence of AI and traditional practices
* Impact of AI on language professionals
* Adoption barriers and risks for LSPs new to AI
* Future trends in translation, interpreting, and localisation - with
or without AI
* Responsible and sustainable development in language technologies
(environmental, social, professional)
Key areas of interest
Include, but are not limited to:
* Multilingual NLP and large language models
* Human-in-control systems vs. human-in-the-loop AI
* Terminology management and controlled language
* AI readiness and digital transformation in LSPs
* NLP, semantic technologies and linked data
* Collaborative translation tools and environments
* Quality assurance, benchmarking and evaluation
* Training, professional development and digital upskilling
* Inclusive and culturally aware AI systems
* Sustainable practices across the language lifecycle
* Language policy and digital language equality
* FAIR data, corpora and infrastructure
* Ethical implications and human oversight
* Empowering language professionals to shape - not just use - AI tools
* Non-AI innovations and evolutions in translation, interpreting,
localisation or terminology work
We invite:
* Innovative research: studies that expand the boundaries of language
technologies, multilingual NLP, or AI ethics.
* Practical applications: case studies from public or private sector
stakeholders showcasing language technology use and development.
* Workshops and panels: interactive formats encouraging dialogue on
timely, challenging or divisive issues in AI and language work.
* Critical reflections: well-argued contributions questioning current
uses of AI and proposing alternative, human-centred approaches.
* Posters and short talks: snapshots of emerging projects, tools, or
preliminary research.
Submission tracks
All submissions are for talks, within the following categories:
* Research track (Academic)
* 20-minute talk
* Followed by a paper (max. 5,000 words) presenting original,
unpublished research
* User experience track (Non-academic)
* 20-minute talk
* Optional post-facto paper (max. 5,000 words) detailing workflows,
tools or implementation cases
* Posters / Short talks
* 7-8-minute talk
* Followed by a paper (max. 2,000 words) outlining a project,
experiment, or tool
* Workshops and panels
* Interactive sessions with multiple speakers
* Moderators may submit an optional post-facto paper summarising key
takeaways
Submission instructions
Submissions must be made via the START conference submission system:
https://www.softconf.com/p/tc2026 [2]
Important dates
* Deadline for research/user experience talks: 15 July 2026
➤ Notification of acceptance: 31 August 2026
* Deadline for workshops and panels: 31 July 2026
➤ Notification of acceptance: 15 September 2026
* Deadline for posters and short talks: 15 September 2026
➤ Notification of acceptance: 30 September 2026 * Final paper
submission (except post facto workshop and panel papers): 31 October
2026
* Conference dates: 8-10 December 2026
Submission guidelines
Detailed submission guidelines, including templates and formatting
instructions, will be available on the TC47 conference website.
We look forward to your contributions that will help shape the future of
language services through innovation, collaboration, and inclusivity.
Why submit to TC47?
TC47 offers a unique opportunity to engage in a multi-stakeholder
dialogue that bridges research, practice and policy. It is a space for
shared reflection on what language professionals need, what tools
actually deliver and how we co-create a future where humans and AI work
better together.
For any questions, reporting of problems concerning submissions or the
Conference at least, please email tc47-info(a)asling.org. Let's explore,
challenge and shape the future of multilingual communication together!
--
Amal Haddad Haddad (She/her)
Facultad de Traducción e Interpretación
Universidad de Granada |https://www.ugr.es/personal/amal-haddad-haddad
Lexicon Research Group |http://lexicon.ugr.es/haddad
Co-Convenor, BAAL SIG 'Humans, Machines,
Language'|https://r.jyu.fi/humala
Event Coordinator, BAAL SIG 'Language, Learning and Teaching'
===============
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please immediately notify us via e-mail and delete it"
===============
Links:
------
[1] https://asling.org/tc47/
[2] https://www.softconf.com/p/tc2026/
[Apologies for cross-posting]
Integreat, the Norwegian centre for knowledge-driven machine learning, is recruiting 8 full-time PhD students for a range of cross-disciplinary projects across Machine Learning, Language Technology, Statistics, Logic, and Ethics. Integreat is a Centre of Excellence funded by the Research Council of Norway (2023–2033). The centre is hosted by the University of Oslo, with partners including the Arctic University of Norway and Norwegian Computing Center.
The full announcement is available through the link below, with further details about the application procedure, online information meetings, the research environment, detailed descriptions of the individual projects, and more:
https://www.integreat.no/about/vacancies/phd-recruitment/2026/
Note that several of the projects are in Natural Language Processing and will have supervisors from the Language Technology Group (LTG) at the Department of Informatics, University of Oslo. In particular, see:
* Project 3, on new data attribution methods for LLMs: https://www.integreat.no/about/vacancies/phd-recruitment/2026/projects/03.h…
* Project 4, on measuring ideological bias in multimodal image–text models: https://www.integreat.no/about/vacancies/phd-recruitment/2026/projects/04.h…
The application deadline is 9 August 2026.
Best,
-e
--
Erik Velldal
Language Technology Group
Section for Machine Learning
Department of Informatics, University of Oslo
🚀 We are offering a fully funded PhD position on human-AI collaboration to support psychiatry research, jointly supervised by Prof. Dr. Iryna Gurevych (UKP Lab, TU Darmstadt) and Prof. Dr. Dr. Elisabeth Binder (Director, Max Planck Institute of Psychiatry, Munich). The position is embedded in the Max Planck School of Biomedical Artificial Intelligence (MPS-BMAI), which trains doctoral researchers at the interface of AI and the life sciences.
The project
Psychiatry is rich in deep, multimodal data but poor in tools that let experts make sense of it together with AI. You will develop human-AI collaboration and machine-learning methods that help clinicians and researchers explore, integrate and interpret heterogeneous psychiatric data - and unlock the value of existing cohorts such as the BeCOME study (a deep-phenotyping study combining genetic, molecular, neuroimaging, actigraphy, neurocognitive and psychometric data to identify biologically-informed subtypes of stress-related disorders).
- Methods for multimodal data integration and exploration with experts in the loop
- Verification-first, interpretable AI that clinicians and researchers can trust
- Privacy-preserving and ethically grounded handling of sensitive clinical data
Your profile
- A Master's degree in Computer Science, Natural Language Processing, Machine Learning, Data Science, Computational Neuroscience, or a related field
- Solid programming and ML skills; experience with multimodal, biomedical or NLP data is a plus
- Genuine interest in mental health and interdisciplinary, collaborative research
- Willingness to work across Darmstadt and Munich; very good English
What we offer
- A fully funded position - E13 employment contract, 36 months
- Joint supervision by two leading groups in AI and in psychiatry
- Access to unique clinical cohorts and the MPS-BMAI / ELIZA / ELLIS doctoral networks
- Strong compute, structured training, and an international, interdisciplinary environment
How to apply & timeline (Max Planck School - Cohort 0)
This PhD is offered as a Cohort 0 position of the Max Planck School of Biomedical AI<https://www.maxplanckschools.org/en/news-events/launch-of-the-max-planck-sc…>. Cohort 0 candidates are nominated by a pair of primary and secondary supervisors - here, Prof. Gurevych (TU Darmstadt) and Prof. Binder (MPI of Psychiatry).
- Interested candidates: contact us as early as possible to be considered for nomination. An in-person meeting in September 2026 will help form supervisor-candidate pairs.
- Eligibility note: you may already be a PhD student in your first two years - the earlier the better - but the official Cohort 0 start falls within the December 2026 to February 2027 window
Apply: via https://careers.ukp.informatik.tu-darmstadt.de/ by July 24th, 2026, quoting reference to this post. Review begins immediately and continues until the position is filled.
🚀 We’re hiring Postdoctoral and Doctoral Researchers in NLP & AI (m/f/d), UKP Lab<http://www.ukp.tu-darmstadt.de/>, TU Darmstadt
The UKP Lab, led by Prof. Dr. Iryna Gurevych, is one of Europe’s leading groups in Natural Language Processing and is recruiting researchers to join a highly international team at the frontier of trustworthy and applied AI. We combine fundamental research with open-source tools used worldwide (e.g., Sentence Transformers, AdapterHub), and are embedded in a rich ecosystem — ELLIS, Konrad Zuse School ELIZA, hessian.AI, and ATHENE.
We are looking for outstanding researchers who want to shape how humans and AI systems work together — and ensure that they do so reliably, safely, and in the service of people.
Priority research directions:
We especially welcome applications in the following areas, though strong candidates across UKP’s wider profile are encouraged to apply:
· Verification-first AI & evaluation of agentic systems — rigorous, expert-grounded evaluation of LLMs and AI agents; trajectory-level reliability and safety; calibration; evaluation that scales when content is cheap to produce but expensive to verify.
· Human–AI co-construction for expert and scientific work — mixed-initiative interaction, preference elicitation, and AI for science and education that preserves human understanding and skill rather than replacing it.
· Trustworthy NLP for high-stakes domains — misinformation and fact-checking, content provenance and AI-text forensics, privacy-preserving health and clinical NLP, and NLP for cybersecurity (in collaboration with ATHENE).
Related interests are also welcome: LLM reasoning and planning, interpretability and robustness for safety, computational argumentation and AI for democratic deliberation, efficient and modular models, and multilingual/multimodal NLP.
You bring: a PhD or Master’s degree in NLP/ML/CS/HCI or related, a strong top-venue publication record (ACL, NeurIPS, ICML, ICLR, EMNLP, NAACL, CHI), and solid programming skills.
We offer: a world-class ecosystem (ELLIS, ELIZA, hessian.AI, ATHENE), strong compute and engineering support, mentorship toward research independence, and a vibrant international team in Darmstadt. TV-TU E13, full-time, initially 2 years (extension possible), starting a.s.a.p.
Apply: via https://careers.ukp.informatik.tu-darmstadt.de/ by July 24th, 2026, quoting reference to this post. Review begins immediately and continues until the position is filled.
More information: https://www.informatik.tu-darmstadt.de/ukp/ukp_home/jobs_ukp/index.en.jsp
Dear colleagues,
It is a pleasure for us to announce the official release of ISSUE 73 of
_Miscelánea: A Journal of English and American Studies_, published by
the Department of English Studies at the University of Zaragoza (Spain).
_Miscelanea_, with 73 issues published to date, and with number 74
coming out in December, is one of the longest-running international
journals on English Studies in Spain.
You can access the new issue here:
Vol. 73 (2026) | Miscelánea: A Journal of English and American Studies
[1]
We would like to thank all authors, reviewers, advisors and production
staff involved in the publication of this issue. We kindly ask you to
share this information with your colleagues and invite you to follow us
on Bluesky @miscelanaeauz.bsky.social [2] and on X @MiscelaneaUZ [3].
The journal obtained the renewal of the Certification of Publishing and
Scientific Quality of the FECYT last November 2025. _Miscelánea_ is also
indexed in many databases (ERIH PLUS, SCOPUS-Elsevier, DOAJ, Scimago
Journal Rank, among others; see
https://papiro.unizar.es/ojs/index.php/misc/en/about for details). Back
in April, our journal was also included in the European Union's _Diamond
Discovery Hub_ platform for high quality open-access journals:
https://ddh.edch.eu/en/journals/3198
We remind you that the journal admits submissions all year round. We
therefore invite you to submit your manuscripts to our journal at any
time through our platform: Submissions | Miscelánea: A Journal of
English and American Studies [4]
As Section Editor for English Language and Linguistics, I will welcome
any submission that draws upon any of the following areas and/or
methodological approaches (to name but a few):
* Descriptive linguistics;
* Applied linguistics;
* Discourse analysis, Critical Discourse Analysis and Corpus-Assisted
Discourse Analysis;
* Sociolinguistics;
* Systemic-Functional Linguistics;
* Translation Studies;
Etc.
I hope you will consider our publication as a potential outlet for your
research. Looking forward to receiving and reading your work.
With all our best wishes,
The _Miscelánea _Editors
Miguel-Angel Benitez-Castro (Language & Linguistics Co-Editor)
Beatriz Oria-Gomez (Literature, Film and Cultural Studies Co-Editor)
Maria Ferrandez-San Miguel (Reviews Co-editor)
--
Dr. Miguel-Angel Benitez-Castro
Departamento de Filología Inglesa y Alemana
Facultad de Ciencias Sociales y Humanas,
Universidad de Zaragoza (Spain)
C/ Atarazanas, 4, 44003, Teruel
https://orcid.org/0000-0001-8514-5943https://www.researchgate.net/profile/Miguel-Angel-Benitez-Castrohttps://scholar.google.com/citations?user=wx8VaDcAAAAJ&hl=es [5]
Member of: _IUI Biocomputation and Physics of Complex Systems (BIFI)
[6]_ Universidad de Zaragoza
Language and Linguistics Editor _- Miscelánea: A Journal of English and
American Studies [7]_
Links:
------
[1] https://papiro.unizar.es/ojs/index.php/misc/en/issue/view/736
[2] https://bsky.app/profile/miscelaneauz.bsky.social
[3] https://twitter.com/MiscelaneaUZ
[4] https://papiro.unizar.es/ojs/index.php/misc/en/about/submissions
[5] https://scholar.google.com/citations?user=wx8VaDcAAAAJ&hl=es
[6] https://bifi.es/
[7] https://papiro.unizar.es/ojs/index.php/misc/index
*Apologies for Cross Posting*
The paper submission deadline AIAS+ 2026 (Chen Institute Symposium for AI
Advancing Science and Society) is quickly approaching. -
*July 15, 2026.*
More info at:
https://www.aiasplus.org/call-for-papers
*Call for Papers - For Researchers & Academics*
We invite submissions exploring how core advancements in artificial
intelligence are accelerating progress in science. AIAS+ 2026 focuses on
transformative AI innovations that expand the boundaries of scientific
discovery—from prediction and simulation to reasoning, hypothesis
generation, and experimental design.
*TOPICS OF INTEREST:*
- Foundational and frontier AI methods for scientific discovery
- Scientific reasoning, inference, and hypothesis generation
- AI for simulation, prediction, and interpretation in science
- Research process automation (literature synthesis, experimental design)
- AI systems for biology, chemistry, physics, medicine, and engineering
- Benchmarks, evaluation methods, and infrastructure for AI-accelerated
science
*SUBMISSION TYPES & PAGE LIMITS:*
Full Research Papers: 6–8 pages
Short Papers: 2–4 pages
Vision or Position Papers: Up to 4 pages
Extended Abstracts (summarizing previously published work): Up to 2 pages
*KEY DATES:*Paper Submission Deadline: July 15, 2026
Notification of Acceptance: August 15, 2026
Camera Ready Deadline: September 7, 2026
Symposium Dates: November 5–7, 2026
Submit a Paper at https://www.aiasplus.org/call-for-papers
ᐧ
ᐧ
ᐧ
(Apologies for cross-posting)
====================================================================
FIRST CALL FOR PAPERS
The 4th Workshop on Artificial Intelligence for Scientific Publications
(WASP 2026)
Co-located with IJCNLP-AACL 2026
November 9, 2026, Online
Website: https://ui.adsabs.harvard.edu/WIESP/2026/
Submissions (OpenReview):
https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2026/Workshop/WASP
====================================================================
OVERVIEW
The scientific literature now grows faster than anyone can read it. The
claims, evidence, named entities, relations, and citations that researchers
rely on remain in unstructured text rather than in any form a machine can
use directly. Turning that text into structured, machine-readable knowledge
is a central problem in NLP, and many of the questions it raises remain
open.
WASP 2026 brings together researchers working to extract, structure, and
mine knowledge from scholarly publications. As large language models
reshape how scientific text is parsed, mined, and synthesized, this
iteration keeps information extraction at its center while broadening to
the full pipeline that turns publications into usable knowledge, from
summarization and retrieval to evaluation and the responsible use of LLMs
in scientific publishing.
WASP continues a series that began as the Workshop on Information
Extraction from Scientific Publications (WIESP) at AACL-IJCNLP 2022 and
IJCNLP-AACL 2023, and grew into WASP at IJCNLP-AACL 2025.
TOPICS OF INTEREST (not limited to)
- Scientific document parsing and structured information extraction;
citation context/span extraction and citation-based knowledge mining
- Scientific named-entity recognition and concept identification
- Scientific literature quality assessment and automated peer review
assistance
- Argument extraction and scientific discourse analysis
- Scientific article summarisation and headline generation
- Question-answering and fact retrieval from scientific literature
- Pretraining and fine-tuning LLMs on scientific corpora
- Evaluation and alignment of LLMs for scientific understanding
- AI-assisted scientific discovery and hypothesis generation
- Cross-lingual scientific knowledge transfer and multilingual publication
processing
- Scientific trend analysis and research gap identification
- Reproducibility and replicability analysis in scientific publications
- Ethical and responsible use of LLMs in scientific publishing
- Automated metadata generation and semantic tagging of scientific
publications
- Scientific plagiarism detection and research integrity monitoring
- Scientific collaboration network analysis and co-authorship prediction
- Automated scientific writing assistance and manuscript generation
- Scientific image and figure analysis in publications
SUBMISSION
Long papers: up to 8 pages of content (9 in the camera-ready), plus
unlimited references.
Short papers: up to 4 pages of content (5 in the camera-ready), plus
unlimited references.
All submissions are double-blind and must follow the host venue formatting
guidelines and ACL template files. We follow AACL-IJCNLP 2026 policies on
anonymity, preprints, and double submissions. Accepted papers will appear
in the WASP 2026 proceedings in the ACL Anthology.
Submit via OpenReview:
https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2026/Workshop/WASP
SHARED TASK
WASP 2026 will host a shared task. Details and a separate call for papers
will be announced soon. System description papers will undergo light peer
review and appear in the proceedings.
IMPORTANT DATES (Anywhere on Earth)
-
Paper submission deadline (WASP): September 14, 2026
-
Registration deadline for shared task: [TBA]
-
System Run and Output Submission (shared task): [TBA]
-
System Paper Submission (shared task): [TBA]
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Notification of acceptance (WASP + Shared Task): October 1, 2026
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Camera-ready deadline (WASP + Shared Task): October 12, 2026
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Workshop: November 9, 2026
ORGANIZERS
- Atilla Kaan Alkan, Center for Astrophysics | Harvard & Smithsonian, USA
- Alberto Accomazzi, Center for Astrophysics | Harvard & Smithsonian, USA
- Tirthankar Ghosal, Oak Ridge National Laboratory, USA
- Felix Grezes, Center for Astrophysics | Harvard & Smithsonian, USA
- Kelly Lockhart, Center for Astrophysics | Harvard & Smithsonian, USA
CONTACT
For inquiries: Atilla Kaan Alkan, atilla.alkan(a)cfa.harvard.edu
We look forward to your contributions.
--
*Atilla Kaan Alkan*
*Postdoctoral Research Fellow*
NASA Astrophysics Data System
*Harvard-Smithsonian Center for Astrophysics*
60 Garden Street | MS 83 | Cambridge, MA 02138
ads.harvard.edu | *scixplorer.org* <http://scixplorer.org> | *atillaalkan.com
<http://atillaalkan.com>*