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2nd [CFP] NLP4Ecology 2026 @ LREC 2026
by fr.grasso＠unito.it 02 Feb '26

02 Feb '26

We invite submissions to the 2nd Workshop on Ecology, Environment, and Natural Language Processing. We are particularly interested in contributions that push the boundaries of linguistics and NLP research in the context of ecological and environmental crisis and that foster interdisciplinary collaboration. Important Dates (All deadlines are 23:59 AoE.) Paper Submission Deadline: 27 February 2026 Notification of Acceptance: 20 March 2026 Camera-Ready Deadline: 30 March 2026 Workshop Date: 12 May 2026 (afternoon) Submissions will be handled via START Conference Manager. Please click the following link to access the submission system: https://softconf.com/lrec2026/NLP4Ecology2026/ The topics of interest include, but are not limited to: - Sentiment, Argument, and Stance Analysis of Environmental Topics: Evaluating public opinions, emotions, and stances on ecological issues across social media, news outlets, and other media, including environmental activism communication and AI–environment debates (e.g., Longo and Longo, 2025; Ibrohim et al., 2023; Barz et al., 2025; Grasso et al., 2024). - Automated Linguistic and Discourse/Frame Analysis, and Topic Modeling: Studying grammatical, lexical, and discourse patterns in ecological communication from an ecolinguistic perspective, including topic modeling and framing analyses of media, political discourse, corporate reports, and NGO communication (e.g., Widanti, 2022; Dehler-Holland et al., 2021; Bosco et al., 2025; Grasso et al., 2025b). - Detection of Anthropocentric and Speciesist Biases: Identifying and mitigating anthropocentric and speciesist biases in language data and NLP applications, including bias in large language models (e.g., Leach et al., 2021; Takeshita et al., 2022; Grasso et al., 2025a). - Text Classification, Entity Recognition, and Environmental Monitoring: Categorizing texts into environmental subdomains such as biodiversity, climate change, and conservation, and identifying or tracking mentions of species, habitats, pollutants, and ecological phenomena, including applications of LLMs to ecological and biodiversity corpora (e.g., Volkanovska, 2025; Schimanski et al., 2023; Abdelmageed et al., 2022; Grasso & Locci, 2024). - Fact-checking and Greenwashing Detection: Analyzing corporate sustainability reports and institutional communication to detect misleading claims, greenwashing practices, and inaccuracies in environmental discourse (e.g., Glazkova and Zakharova, 2025; Cojoianu et al., 2020; Moodaley & Telukdarie, 2023). - Ecofeminism, Environmental Justice, and Language: Exploring the intersections of gender, justice, power, and ecological narratives, and how NLP methods can support the analysis of environmental justice–oriented discourse. Further topics include: - Ecolinguistic applications of NLP. -Large Language Models (LLMs) application in Climate Change and Environmental domain. -Analysis of harmful environmental narratives and misinformation on social media. -Corpora creation and annotation for ecological discourse -Geo-tagging and Sentiment Mapping of Environmental Discussions -Fairness, ethics, and accountability in environmental NLP. -Environmental communication in low-resource languages. -Multimodal analysis for ecological and environmental challenges. -Lexical and semantic analysis of sustainability discourse. -Linked Data and Knowledge Graphs on ecological topics. -Language diversity and inclusion in environmental narratives. -Cognitive models and ecological storytelling. -NLP for understanding indigenous knowledge in environmental contexts. -Machine learning techniques for analyzing environmental communication. -NLP for environmental legislation and policy discourse. -NLP for environmental education and awareness campaigns. -Speech technologies to support ecological field research. -Educational chatbots and conversational agents for raising environmental awareness. We invite submissions in the following categories: - Regular Papers (from a minimum of 4 up to 8 pages) - Non-archival contributions (up to 4 pages). Regular papers must report original, previously unpublished work and follow the LREC 2026 Author Kit. Accepted regular papers will be included in the workshop proceedings. Non-archival contributions include research communications (i.e. work already published at other venues), work in progress, manifestos, and similar contributions. Non-archival contributions can be presented at the workshop but will not be included in the proceedings. Please visit https://nlp4ecology2026.di.unito.it/ for more infos. Contact e-mail: nlp4ecology.workshop(a)gmail.com

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KG–LLM @ LREC 2026 - Knowledge Graphs and Large Language Models - Second Call for Paper
by Gilles Sérasset 02 Feb '26

02 Feb '26

Knowledge Graphs and Large Language Models (KG–LLM 2026) @ LREC 2026 We are pleased to announce the Workshop on Knowledge Graphs and Large Language Models (KG–LLM 2026), to be held in conjunction with LREC 2026 in Palma de Mallorca, Spain, May 16th 2026. We invite submissions of original research that leverages both Knowledge Graphs (KGs) and Large Language Models (LLMs) in any domain of Natural Language Processing or language resource development. More information at https://kg-llm.github.io/ Workshop Overview Large Language Models have become foundational in NLP, yet they continue to face challenges related to bias, hallucination, explainability, environmental impact, and the cost of training. Knowledge Graphs, in contrast, provide high-quality, interpretable, and reusable ontological and linguistic structures that support reasoning, fact checking, and knowledge preservation. The goal of this workshop is to bring together researchers working at the intersection of these two paradigms, exploring how explicit knowledge and implicit statistical learning can enhance each other. We welcome contributions that investigate, demonstrate, or evaluate systems, methods, or resources integrating both KGs and LLMs. Topics of Interest We encourage submissions on (but not limited to): 1. LLMs for Knowledge Graph Engineering KG modelling, resource creation, and interlinking Relation extraction Corpus annotation Ontology localization Creation or expansion of linguistic or knowledge graphs KG querying and question answering 2. Knowledge Graphs for Large Language Models Using linguistic or knowledge graphs as training data Fine-tuning LLMs using linked linguistic (meta)data Knowledge/linguistic graph embeddings KGs for model explainability, provenance, and source attribution Neural models for under-resourced languages KG-augmented RAG (KG-RAG) 3. Joint Use of KGs and LLMs in Applications Combined KG–LLM use cases with structured linguistic data Digital humanities applications Question answering over graph data Fake news and misinformation detection Educational applications and assisted learning Visualizing academic writing with KGs and LLMs KG-enhanced chatbots for health and medical contexts Application Domains All application domains are welcome (Digital Humanities, FinTech, Linguistics, Education, Cybersecurity, etc.) as long as the work uses both Knowledge Graphs and Large Language Models. Submission Guidelines Submission Format: Papers up to 8 pages excluding references. Style: All submissions must follow the LREC 2026 format and use the official LREC author kit. (available at https://lrec2026.info/authors-kit/ ) Review Process: Double-blind peer review. Submissions must be fully anonymized. Submission System: Papers must be submitted via the START conference system at https://softconf.com/lrec2026/KGLLM/ Language Resources: In line with LREC policies, authors are encouraged to describe, document, and share language resources, datasets, models, evaluation tools, or annotation guidelines used or created in their work. Accepted Papers: All accepted papers will be included in the LREC 2026 workshop proceedings. Presentation: Accepted papers will be presented as oral or poster sessions during the workshop. Important Dates *All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”)* Paper submission deadline: 26 February 2026 Notification to authors: 24 March 2026 Camera-ready due: 30 March 2026 Workshop date: 16 May 2026 Contact For questions, please contact the workshop organizers at: kg-llm-26(a)googlegroups.com Organizing Committee Gilles Sérasset, Université Grenoble Alpes, France Katerina Gkirtzou, Athena Research Center, Greece Michael Cochez, Ellis Institute Finland & Åbo Akademi, Finland Jan-Christoph Kalo, University of Amsterdam, Netherlands

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📢 Call for Participation: Shared Task at Argument Mining Workshop, ACL2026
by anastassia.shaitarova＠uzh.ch 02 Feb '26

02 Feb '26

We invite the broader NLP community to participate in our Shared Task at The 13th Argument Mining and Reasoning Workshop, co-hosted with ACL2026 in San Diego 🏖️ , United States! https://argmining-org.github.io/2026/index.html#shared_task The shared task focuses on understanding argumentative structure in highly formal, legal-political United Nations resolutions. Participants are expected to build LLM-based systems to: 1) identify and classify argumentative paragraphs in preambles and operative sections; 2) predict argumentative relations between paragraphs. 📅 Important Dates 1 Feb: Train and test data release 18 March: Evaluation and submission starts 1 April: Submission ends 15 April: Evaluation ends; results notification 24 April: Paper submission due 1 May: Reviews to authors 12 May: Camera-ready version due July: ArgMining 2026 Workshop 🔗 Further details, data access, and submission instructions on the shared task page: https://shared-task-argmining.linguistik.uzh.ch/ Organizers: Yingqiang Gao, Anastassia Shaitarova, Reto Gubelmann, Patrick Montjouridès, Department of Computational Linguistics, University of Zurich (UZH) We welcome participation from researchers and practitioners across related areas of argument mining, LLM reasoning, information retrieval, and so on. We are looking forward to receiving your submission!

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LREC 2026 Industry Day - Call for Abstracts
by Teresa Lynn 02 Feb '26

02 Feb '26

Dear colleagues, We are excited to extend our invitation for submission of *abstracts* for the Industry Day at LREC 2026. As many of you know, the Industry Day is designed to highlight real-world NLP applications, practices and lessons learned, offering a space for organisations to share practical insights, case studies, and perspectives that can help to bridge the gaps between academic research and industry. In particular, this year's Industry Day is also intended to act as a networking platform for conference participants, experts, and professionals to foster meaningful collaborations. We particularly welcome abstracts addressing topics such as: - Applied NLP systems and large-scale deployments - Enterprise use cases and industry challenges - Evaluation, scalability, and reliability in production environments - Responsible AI, governance, and compliance in NLP - Emerging trends and future directions from an industry perspective - Speech Resources and Processing - Less-Resourced/Endangered/Less-studied Languages Submitted abstracts should emphasise practical experience, impact, and insights rather than purely theoretical/empirical contributions. Submission details - Abstract length: 150-200 words - Submission deadline: February 16th 2026 - Notification of acceptance: March 13th 2026 - Presentation format: oral Accepted contributions will be featured as part of the Industry Day program and presented to a diverse audience of students, industry leaders and experts. Only an abstract submission is required for a presentation proposal (not a full paper) and the submissions differ from LREC main submissions in that they will *not be included* in the conference proceedings or ACL Anthology. We would be delighted to include your perspective and encourage you to share this invitation with relevant colleagues. For submission guidelines and a broader list of LREC 2026 topics, please visit: https://lrec2026.info/call-for-industry-day-talks/ Looking forward to seeing you in Mallorca in May! Teresa Lynn & Natalie Schluter Co-Chairs, LREC 2026 Industry Day

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Fully funded PhD opportunity at Lancaster University
by Brezina, Vaclav 02 Feb '26

02 Feb '26

Dear all, We are delighted to offer a fully funded PhD studentship starting in October 2026, open to UK and international applicants. We welcome applications from outstanding candidates with experience in corpus linguistics, language testing, or quantitative applied linguistics, including skills in e.g. corpus design, statistical analysis, and tools such as R, Python or #LancsBox X. Delivered in collaboration with Trinity College London, the PhD will explore communicative competence in English language tests, with implications for fairness, accessibility and social mobility. The successful candidate will be based in Lancaster and work regularly on campus as part of the CASS team. Further details and application information are available here: https://cass.lancs.ac.uk/fully-funded-phd-opportunity-at-the-cass-research-… Please feel free to share this opportunity. Best, Vaclav Professor Vaclav Brezina Professor in Corpus Linguistics Co-Director of the ESRC Centre for Corpus Approaches to Social Science Faculty of Humanities, Arts and Social Sciences, Lancaster University Lancaster, LA1 4YD Office: County South, room B46 T: +44 (0)1524 510828 @vaclavbrezina

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[CfP] TGDK Special Issue: Neuro-Symbolic Modeling for Human-Centric AI
by Marco Antonio Stranisci 02 Feb '26

02 Feb '26

================================================ Transactions on Graph Data & Knowledge (TGDK) https://www.dagstuhl.de/tgdk Special Issue: Neuro-Symbolic Modeling for Human-Centric AI https://www.dagstuhl.de/en/institute/news/2026/tgdk-cfp-special-issue-neuro… Submissions due: June 30th, 2026 ================================================ In recent years, the alignment of Artificial Intelligence technologies with people’s behaviors and worldviews has become a central topic for several sectors of Computer Science. The pervasive diffusion of Large Language Models (LLM) inside and outside the academic sector requires important efforts to ensure fairness and representativity towards all social and cultural groups, potentially considering different identities that characterize potential end-users of these technologies. This special issue welcomes contributions on the development of graph-based abstractions and implementations of graph-based approaches for human-centered AI. It welcomes hybrid neuro-symbolic and graph-based approaches focused on knowledge reasoning for learning, and learning approaches for reasoning, as well as the design and curation of graph-based data and semantic models to explore the inclusion and representation of human identities in AI systems. == Scope == This special issue solicits submissions of research, resource and survey articles that conform to the scope of TGDK on the following specific topics: Ontology modeling and knowledge representation for Human-Centric AI * Knowledge representation for reducing bias in AI * Ontologies of identity dimensions and psychology for AI * Ontologies of sociological and communication theories for AI * Linked Data approaches for Human-Centric AI Data quality, integration and provenance for Human-Centric AI * FAIR and CARE principles for AI models * Graph-based provenance approaches for AI models * Incorporating cultural metadata into AI workflows * KG-driven approaches for bias detection and mitigation in archives LLM integration with graph-structured knowledge for the design of fair AI technologies * Question answering with LLMs and graph-structured knowledge * Reducing LLM hallucinations with graph-structured knowledge * Injecting graph-structured knowledge into LLMs * Retrieval-Augmented Generation using graph-structured knowledge * Enhancing graph-structured knowledge using LLMs Logic and reasoning for Explainable AI * Logic-based methods for governance of AI * Logic-based methods for ethical AI frameworks * Logic-based methods for legal compliance of AI * Extraction of logic-based representations for explainable AI * Graph-based constraint languages for explainable AI == Guest Editors == * Stefano De Giorgis, Vrije Universiteit Amsterdam, Netherlands * Marco Antonio Stranisci, University of Turin, Italy * Luana Bulla, University of Bologna, Italy * Lia Draetta, University of Turin, Italy * Rossana Damiano, University of Turin, Italy * Filip Ilievski, Vrije Universiteit Amsterdam, Netherlands == Timeline == * Submissions: June 30, 2026 * Author Notifications: September 30, 2026 * Revisions: October 31, 2026 * Author Notifications: November 30, 2026 * Publication: Q4 2026 / Q1 2027 == Submission == Please follow the the submission instructions for TGDK and select the corresponding Special Issue: https://drops.dagstuhl.de/entities/journal/TGDK#author As a Diamond Open Access journal, official versions of accepted papers (as accessible via DOI) are published and made available for free online *without fees for authors or readers*. Marco, UNITO <https://www.unito.it/persone/mstranis> and aequa-tech <https://aequa-tech.com/> "Aoki è sboccato e ancora inesperto, ma dentro di sé nasconde una sensibilità delicata e gentile. È questo ciò che mi comunicano le sue storie. Hayashi, sono certo che lei riuscirà a illuminare il suo cammino" Taiyo Matsumoto

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CFP: LT4HALA 2026
by Sprugnoli Rachele (rachele.sprugnoli) 02 Feb '26

02 Feb '26

CFP: LT4HALA 2026 - The Fourth Workshop on Language Technologies for Historical and Ancient Languages * Website: https://circse.github.io/LT4HALA/2026/ * Date: 11 May 2026 * Place: co-located with LREC 2026, 11-16 May 2026, Palma, Mallorca (Spain) * Submission page: https://softconf.com/lrec2026/LT4HALA2026/ * Submission deadline: 17 February 2026 DESCRIPTION LT4HALA 2026 is a one-day workshop that seeks to bring together scholars who are developing and/or are using Language Technologies (LTs) for historically attested languages, so to foster cross-fertilization between the Computational Linguistics community and the areas in the Humanities dealing with historical linguistic data, e.g. historians, philologists, linguists, archaeologists and literary scholars. LT4HALA 2026 follows LT4HALA 2020, 2022, 2024 that were organized in the context of LREC 2020, LREC 2022 and LREC-COLING 2024, respectively. Despite the current availability of large collections of digitized texts written in historical languages, such interdisciplinary collaboration is still hampered by the limited availability of annotated linguistic resources for most of the historical languages. Creating such resources is a challenge and an obligation for LTs, both to support historical linguistic research with the most updated technologies and to preserve those precious linguistic data that survived from past times. Relevant topics for the workshop include, but are not limited to: * creation and annotation of linguistic resources (both lexical and textual); * the role of digital infrastructures, such as CLARIN<https://www.clarin.eu/>, in supporting research based on language resources for historical and ancient languages; * handling spelling variation; * detection and correction of OCR errors; * deciphering; * morphological/syntactic/semantic analysis of textual data; * adaptation of tools to address diachronic/diatopic/diastratic variation in texts; * teaching ancient languages with LTs; * NLP-driven theoretical studies in historical linguistics; * NLP-driven analysis of literary ancient texts; * evaluation of LTs designed for historical and ancient languages; * LLMs for the automatic analysis of ancient texts. SHARED TASKS LT4HALA 2026 will host: * the 4th edition of EvaLatin<https://circse.github.io/LT4HALA/2026/EvaLatin>, a campaign entirely devoted to the evaluation of NLP tools for Latin. This new edition will focus on two tasks: dependency parsing and Named Entity Recognition. Dependency parsing will be based on the Universal Dependencies framework. * the 5th edition of EvaHan<https://circse.github.io/LT4HALA/2026/EvaHan>, the campaign for the evaluation of NLP tools for Ancient Chinese. EvaHan 2026 will focus on Ancient Chinese OCR (Optical Character Recognition) Evaluation. * the 2nd edition of EvaCun<https://circse.github.io/LT4HALA/2026/EvaCun>, the campaign for the evaluation of Ancient Cuneiform Languages, with shared tasks on transliteration normalization, morphological analysis and lemmatization, Named Entity Recognition of Akkadian and/or Sumerian. SUBMISSIONS Submissions should be 4 to 8 pages in length and follow the LREC stylesheet (see below). The maximum number of pages excludes potential Ethics Statements and discussion on Limitations, acknowledgements and references, as well as data and code availability statements. Appendices or supplementary material are not permitted during the initial submission phase, as papers should be self-contained and reviewable on their own. Papers must be of original, previously unpublished work. Papers must be anonymized to support double-blind reviewing. Submissions thus must not include authors’ names and affiliations. The submissions should also avoid links to non-anonymized repositories: the code should be either submitted as supplementary material in the final version of the paper, or as a link to an anonymized repository (e.g., Anonymous GitHub or Anonym Share). Papers that do not conform to these requirements will be rejected without review. Submissions should follow the LREC stylesheet, which is available on the LREC 2026 website on the Author’s kit page<https://lrec2026.info/authors-kit/>. Each paper will be reviewed by three independent reviewers. Accepted papers will appear in the workshop proceedings, which include both oral and poster papers in the same format. Determination of the presentation format (oral vs. poster) is based solely on an assessment of the optimal method of communication (more or less interactive), given the paper content. As for the shared tasks, participants will be required to submit a technical report for each task (with all the related sub-tasks) they took part in. Technical reports will be included in the proceedings as short papers: the maximum length is 4 pages (excluding references) and they should follow the LREC 2026 official format. Reports will receive a light review (we will check for the correctness of the format, the exactness of results and ranking, and overall exposition). All participants will have the possibility to present their results at the workshop. Reports of the shared tasks are not anonymous. WORKSHOP IMPORTANT DATES * 17 February 2026: submissions due * 13 March 2026: reviews due * 16 March 2026: notifications to authors * 27 March 2026: camera-ready due Shared tasks deadlines are available in the specific web pages: EvaLatin, EvaHan, EvaCun. Identify, Describe and Share your LRs! When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones). [http://static.unicatt.it/ext-portale/5xmille_firma_mail_2023.jpg] <https://www.unicatt.it/uc/5xmille>

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Call for Participation: LT-EDI @ ACL 2026 - Homophobia and Transphobia Meme Classification
by Bharathi Raja Asoka Chakravarthi 01 Feb '26

01 Feb '26

*Homophobia and Transphobia Meme Classification | LT-EDI @ ACL 2026* We are pleased to invite the research community to participate in the LT-EDI @ ACL 2026 shared task on Homophobia and Transphobia Meme Classification, which addresses harmful multimodal content targeting LGBTQ+ individuals and communities. Memes function as compact multimodal communication units that combine visual and textual cues. They spread rapidly across cultures and languages. This combination enables both subtle and explicit forms of discrimination. The shared task focuses on the automatic identification of homophobic and transphobic content in memes. * 📝 Task Description*The shared task focuses on multiclass meme classification for detecting anti-LGBT content. Participants are provided with multimodal memes and are required to classify each meme into one of the predefined categories based on the presence of discriminatory content. *Labels:*Homophobia Transphobia Non-anti-LGBT *Languages:*English, Hindi, and Chinese *Description:*Separate datasets are released for each language, enabling analysis across culturally distinct meme collections. The task requires participants to identify discriminatory stereotypes, harmful visual elements, and derogatory textual cues embedded in memes. All training and test datasets are developed following culturally sensitive and ethical annotation practices. The task emphasizes robust multimodal understanding across diverse cultural contexts. * 📚 Resources* 🔗 Competition link (Codabench): https://www.codabench.org/competitions/11335/ 🔗 Task website: https://sites.google.com/view/lt-edi-2026/shared-tasks *🗓️ Important Dates*Task announcement: November 16, 2025 Training data release: November 25, 2025 Test data release: January 20, 2026 Run submission deadline: February 10, 2026 Results announcement: February 16, 2026 Paper submission deadline: March 5, 2026 Peer review notification: April 28, 2026 Camera-ready submission: May 12, 2026 Workshop dates: July 2–3, 2026 with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar Programme Director (MSc Computer Science - Artificial Intelligence) <https://www.universityofgalway.ie/courses/taught-postgraduate-courses/compu…> School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathi.raja(a)universityofgalway.ie <bharathiraja.asokachakravarthi(a)universityofgalway.ie> Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en Website: https://research.universityofgalway.ie/en/persons/bharathi-raja-asoka-chakr…

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Edge Hill Corpus Research Group: Meeting #19
by Costas Gabrielatos 31 Jan '26

31 Jan '26

The next meeting of the Edge Hill Corpus Research Group will take place online (via MS Teams) on Friday 6 February 2026, 2:00-3:30 pm (GMT<https://time.is/United_Kingdom>). Topic: Discourse Oriented Corpus Studies Speaker: Dan Malone<https://www.researchgate.net/profile/Daniel-Malone> (Edge Hill University, UK) Title: From Global Uncertainty to Domestic Danger: The lone wolf terrorist as a topos of threat in (poly)crisis discourses The abstract and registration link are here: https://sites.edgehill.ac.uk/crg/next Attendance is free. Registration closes on Wednesday 4 February. If you have problems registering, or have any questions, please email the organiser, Costas Gabrielatos (gabrielc(a)edgehill.ac.uk<mailto:gabrielc@edgehill.ac.uk>). ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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37th IEEE International Symposium on Software Reliability Engineering (ISSRE 2026): First Call for Replications and Negative Results
by Announce 31 Jan '26

31 Jan '26

*** First Call for Replication and Negative Results *** 37th IEEE International Symposium on Software Reliability Engineering (ISSRE 2026) October 20-23, 2026, 5* St. Raphael Resort and Marina Limassol, Cyprus https://cyprusconferences.org/issre2026/ The Replications and Negative Results (RENE) Track has been introduced in the software engineering community for a while and received overwhelmingly positive feedback. This year, we establish this track at ISSRE and invite researchers to (1) replicate results from previous papers and (2) publish studies with important and relevant negative or null results (results that fail to show an effect, yet demonstrate the research paths that did not pay off). We also encourage the publication of the negative results or replicable aspects of previously published work. For example, authors of a published paper reporting a working solution for a given problem can document in a “negative results paper” other (failed) attempts they made before defining the working solution they published. • Replication studies. The papers in this category must go beyond simply re- implementing an algorithm and/or re-running the artifacts provided by the original paper. Such submissions should at least apply the approach to new data sets (open-source or proprietary). A replication study should clearly report on results that the authors were able to replicate, as well as on the aspects of the work that were not replicable. • Negative results papers. We seek papers that report on negative results. We seek negative results for all types of program comprehension research in any empirical area (qualitative, quantitative, case study, experiment, etc.). For example, did your controlled experiment not show an improvement over the baseline? Even if negative, results obtained are still valuable when they are either not obvious or disprove widely accepted wisdom. Evaluation Criteria Both Replication Studies and Negative Results submissions will be evaluated according to the following standards: • Depth and breadth of the empirical studies • Clarity of writing • Appropriateness of conclusions • Amount of useful, actionable insights • Availability of artifacts • Underlying methodological rigor. A negative result due primarily to misaligned expectations or due to lack of statistical power (small samples) is not a good submission. The negative result should be a result of a lack of effect, not a lack of methodological rigor. Most importantly, we expect replication studies to clearly point out the artifacts upon which the study is built, and to provide the links to all the artifacts in the submission (the only exception will be given to those papers that replicate the results on proprietary datasets that can not be publicly released). Submission Instructions Submissions must be original, in the sense that the findings and writing have not been previously published or under consideration elsewhere. However, as either replication studies or negative results, some overlap with previous work is expected. Please make clear in the paper the overlap with and difference from previous work. All submissions must be in PDF format and conform, at time of submission, to the IEEE Computer Society Format Guidelines: (https://www.ieee.org/conferences/publishing/templates). Authors are strongly encouraged to print the PDF and review it for integrity (fonts, symbols, equations, etc.) before submission, as defective printing can undermine a paper’s chance of success. By submitting to the ISSRE RENE Track, authors acknowledge that they are aware of and agree to be bound by the IEEE Plagiarism FAQ. In particular, papers submitted to the RENE track must not have been published elsewhere and must not be under review or submitted for review elsewhere whilst under consideration for ISSRE 2026. Contravention of this concurrent submission policy will be deemed a serious breach of scientific ethics, and appropriate action will be taken in all such cases. To check for double submission and plagiarism issues, the chairs reserve the right to (1) share the list of submissions with the PC Chairs of other conferences with overlapping review periods and (2) use external plagiarism detection software, under contract to the IEEE, to detect violations of these policies. Submissions to the RENE Track can be made via the ISSRE RENE track submission site： https://easychair.org/conferences?conf=issre2026 . Submission Length: The ISSRE RENE Track accepts submissions of two lengths: (1) New replication studies and new descriptions of negative results should have a length of up to 10 pages, plus 2 pages which may only contain references. (2) Negative results documented during the preparation of previously published work by the authors should be described in up to 5 pages, plus 1 page, which may only contain references (e.g., as previously mentioned, authors of a published paper can document negative results they obtained while working on it, such as methodologically sound solutions that did not work). Important note 1: Both types of papers (replication and negative results) will be included as part of the main conference proceedings. Important note 2: The RENE track does not follow a double-anonymous review process. Publication and Presentation Upon notification of acceptance, all authors of accepted papers will receive further instructions for preparing the camera-ready versions of their submissions. If a submission is accepted, at least one author of the paper is required to have a full registration for ISSRE 2026, attend the conference, and present the paper in person. All accepted papers will be published in the conference electronic proceedings. The presentation is expected to be delivered in person, unless this is impossible due to travel limitations (e.g., related to health or visa). Details about the presentations will follow the notifications. The official publication date is the date the proceedings are made available in the IEEE Digital Libraries. The official publication date affects the deadline for any patent filings related to published work. Purchases of additional pages in the proceedings are not allowed. Important Dates (AoE) • Submission deadline: July 5, 2026 • Notification of acceptance: August12 29, 2026 • Camera-ready copy submission: August 19, 2026 • Author registration deadline: August 19, 2026 Organisation General Chairs • Leonardo Mariani, University of Milano - Bicocca, Italy • George A. Papadopoulos, University of Cyprus, Cyprus Program Coordinator • Roberto Natella, GSSI, Italy Research Program Committee Chairs • Domenico Cotroneo, UNC Charlotte, USA • Jie M. Zhang, King's College London, UK Industry Program Chairs • Jinyang Liu, Bytedance, USA • Sigrid Eldh, Ericsson AB, Sweden Workshop Chairs • Georgia Kapitsaki, University of Cyprus, Cyprus • August Shi, The University of Texas at Austin, USA Doctoral Symposium Chairs • Stefan Winter, LMU Munich, Germany • Lili Wei, McGill University, Canada Fast Abstract Chairs • Luigi Lavazza, University of Insubria, Italy • Yintong Huo, SMU, Singapore JIC2 Chair • Helene Waeselynck, LAAS-CNRS, France Publicity Chairs • Allison K. Sulivan, The University of Texas at Arlington, USA • Jose D'Abruzzo Pereira, University of Coimbra, Portugal Publication Chairs • Sherlock Licorish, Otago Business School, New Zealand • Maria Teresa Rossi, GSSI, Italy Artifact Evaluation Chairs • Naghmeh Ivaki, University of Coimbra, Portugal • Fumio Machida, University of Tsukuba, Japan Diversity and Inclusion Chair • Eleni Constantinou, University of Cyprus, Cyprus Financial Chair • Costas Pattichis, University of Cyprus, Cyprus Web Chairs • Michalis Ioannides, Easy Conferences LTD • Elena Masserini, University of Milano - Bicocca, Italy Registration Chair • Easy Conferences LTD

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