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[CORPORA] Workshop: Large Language Models for the History, Philosophy, and Sociology of Science (2-4 April 2025, TU Berlin)
by Arno Simons 09 Oct '24

09 Oct '24

Large Language Models for the History, Philosophy, and Sociology of Science (Workshop)* April 2-4, 2025, Technische Universität Berlin, Germany Organized jointly by: Gerd Graßhoff (HU Berlin), Arno Simons (TU Berlin), Adrian Wüthrich (TU Berlin), and Michael Zichert (TU Berlin) Summary We invite contributions to our workshop on using large language models (LLMs) in the history, philosophy, and sociology of science (HPSS). The workshop will focus on exploring use cases and proposals for how, and to what extent, LLMs might help overcome long-standing challenges in studies of how science works. The event will take place from April 2–4, 2025, at Technische Universität Berlin, Germany. Attendance (online and on site) will be free and open to the public but registration will be required. To contribute a talk, please submit abstracts of 300–600 words by December 31, 2024, to arno.simons(a)tu-berlin.de. Workshop topics Computational approaches to the history of science are in the process of establishing themselves among the standard repertoire of tools in the field and we have seen remarkable successes in their application already. Subfields of sociology of science have focused, since long, on quantitative methods such as bibliometrics and scientometrics. More recently, philosophy of science has experienced a shift towards allowing more empirical approaches including large-scale algorithmic analyses of scientific or methodological concepts. Computational tools can not only help reduce the workload in traditional research in these fields but, more importantly, also open up new avenues which to explore would otherwise be hopeless. Analyses of co-occurrences and word frequencies as well as more advanced techniques such as topic modeling have helped go beyond identifying only structural features of scientific activities and began scratching the surface of semantics. However, a deeper understanding of scientific concepts, the structure of scientific arguments, and the process of knowledge transformation and spread have remained formidable challenges for computational approaches in the mentioned fields. With the advent of LLMs this might change now. Natural language processing and machine learning have made a spectacular leap forward in their attempt to capture and analyze meaning and grammatical structures of texts. This promises that LLMs can help HPSS researchers meet the aforementioned challenges. However—besides general issues such as opacity, bias and interpretability—the use of LLMs for HPSS is likely to face unique obstacles arising from the specialized nature of scientific language as well as the specific perspectives and objectives of HPSS. It will be the main goal of this workshop to see how, given these obstacles, the most recent advances in LLM development can help overcome long-standing challenges in HPSS. Accordingly, the workshop will address two key themes, with the goal of synthesizing them over the course of the event. On one hand, contributions should articulate the specific needs and desiderata of HPSS researchers—what they hope LLMs can achieve for their work. On the other hand, the current state of LLM development should be critically examined to determine to what extent these research goals are becoming attainable. Ideally, contributions will address both these objectives, though submissions focused on only one of them are also welcome. We particularly encourage contributions that focus on: Use cases that demonstrate how LLMs can help resolve current issues in HPSS Examples of how LLMs allow researchers to ask and answer new types of questions in HPSS How new types of sources and data, made analyzable through LLMs, contribute to novel insights in HPSS research We look for contributions that help resolve questions like these: How can LLMs help gain new perspectives on long-standing problems in HPSS such as determining the relevant contexts of knowledge claims, the dynamics of scientific controversies, problems of incommensurability, and generalizability of case studies? How can LLMs handle the specialized language of scientific texts, including technical jargon, citations, and mathematical formulas? How can LLMs bridge the gap between qualitative and computational methods and help overcome their limitations? How can LLMs be integrated into existing theoretical and methodological frameworks in HPSS, or how should these frameworks evolve to accommodate LLM-based analysis? How can we evaluate the validity of results generated by LLMs, given their opacity? How can LLMs account for the temporal development of scientific language and knowledge over time? Format and practical information The workshop will take place from April 2-4, 2025 at Technische Universität Berlin. The program will consist of an invited keynote and contributed short talks (15+10 min) as well as additional sessions for discussions. Attendance (online and on site) will be free and open to the public but registration will be required. Information on this will follow closer to the date. To contribute a talk, please send an abstract of your planned contribution of 300-600 words by e-mail to arno.simons(a)tu-berlin.de by December 31, 2024. We encourage every contributor to present on site and to participate in the whole workshop program. In exceptional cases, we will offer the possibility to present remotely. Participation of underrepresented groups is particularly welcome, and we may be able to offer financial support to cover travel costs for contributing authors in exceptional cases. Please indicate in your submission if you would like to apply for financial support. We plan to publish the slides, videos, and abstracts on a suitable platform. We also plan to write a report on the workshop and on the perspectives resulting from it. Stable workshop URL: https://www.tu.berlin/hps-mod-sci/workshop-llms-for-hpss * The workshop is funded by the European Union through the project “Network Epistemology in Practice (NEPI)” (ERC Consolidator Grant, Project No. 101044932). Views and opinions expressed are however those of the organizers only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them. -- Arno Simons Technische Universität Berlin Institut für Philosophie, Literatur-, Wissenschafts- und Technikgeschichte https://www.tu.berlin/hps-mod-sci/arno-simons

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University of Cyprus -- Department of Computer Science: Reseaerch Vacancies
by Announce 09 Oct '24

09 Oct '24

University of Cyprus -- Department of Computer Science Postdoctoral Research Associates in Multi Robotic Systems Application Deadline: October 18, 2024 No. of Positions: Four (4) The University of Cyprus announces four (4) Postdoctoral Research Associate positions, focusing on Multi-robotic Systems (MRS), for full-time employment. The successful candidates are expected to conduct top-quality research on collaborative drone operations (including cooperative aerial robotic flight planning, task execution and reasoning, as well as cooperative distributed control) with applications in urban air mobility and disaster management. Job Details  The successful candidates are expected to: •Conduct research in the area of Multi-Robot Systems (MRS), within the context of research and/or innovation projects. •Use machine learning techniques including reinforcement learning, physics-informed neural networks (PINNs), and transformer models for MRS tasks and scenarios that are adaptable and reusable to exploit acquired knowledge and tools. •Develop next-generation autonomous systems for effective, safe, and secure operation during MRS missions, enhancing overall operational performance. •Execute simulation-based scenarios using ROS-Gazebo for dataset generation, training, testing, and evaluation of novel algorithms. •Implement and field-test state-of-the-art drone fleets using both open-source (Ardupilot/PX4) and proprietary (DJI) flight controller platforms. •Provide technical expertise for the development and implementation of multi-robotic systems. •Collaborate with external partners, including industry and first responder organizations, to evaluate newly developed technologies in these areas. •Engage in the preparation of research and/or innovation proposals. •Prepare reports and EU-funded project deliverables. Application  Interested candidates can submit their applications online through the following link: https://applications.ucy.ac.cy/recruitment •Cover letter explaining the interest of the applicant in pursuing a career at the KIOS CoE, along with employment availability date •Short summary of prior work experiences, activities and accomplishments (can be combined with the cover letter) (2 pages maximum) •A detailed curriculum vitae in English •Copies of transcripts of BSc/MSc/PhD or other degree(s) •Copy of an English language certificate •Identify at least two referees that can provide reference letters

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2nd call for project proposals, BLAH9 (deadline extended)
by Jin-Dong Kim 09 Oct '24

09 Oct '24

Apologies for multiple posting — The 9th Biomedical Linked Annotation Hackathon (BLAH9) 13 - 17 January, 2025 Tachikawa, Tokyo, Japan https://blah9.linkedannotation.org/ Submission due of project proposals : 25 Oct., 2024 (Extended) SPECIAL THEME *Ensuring Robustness in LLM-based Research: Reproducibility, Interoperability, and Reliable Evaluation.* CALL FOR PROJECT PROPOSALS We are seeking project proposals from individuals and teams interested in advancing biomedical literature annotation and mining, with a particular focus this year on enhancing reproducibility, interoperability, and reliable evaluation in the context of using large language models (LLMs). Proposals should be structured to achieve measurable outcomes through collaboration during the hackathon, with clearly defined objectives that can lead to meaningful insights by the end of the event. Suggested proposal topics may include, but are not limited to: - Enhancing interoperability in LLM-based annotation and mining - Developing reliable evaluation frameworks for LLM-based annotation and mining - Improving reproducibility in LLM-based annotation and mining - ... Submission due of project proposals is 25 Oct., 2024 (Extended) TRAVEL SUPPORT Those who submit project proposals are eligible to apply for travel support. See the homepage for detailed information. PROGRAM COMMITTEE - Jin-Dong Kim - DBCLS, ROIS-DS - Fabio Rinaldi - IDSIA - Zhiyong Lu - NCBI, NLM - Lars Juhl Jensen - Univ. Copenhagen

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First Call for Shared Task Proposals for RANLP 2025
by Ranasinghe, Tharindu 08 Oct '24

08 Oct '24

We invite proposals for tasks to be run as part of RANLP 2025 (Recent Advances in Natural Language Processing): https://ranlp.org/ranlp2025/.<https://ranlp.org/ranlp2025/> RANLP is one of the most influential and competitive NLP conferences. RANLP 2025 will take place in September 2025 at the Black Sea city of Varna. For the first time in RANLP history, we are organising a shared task campaign as part of the main conference and inviting task organisers to submit their task proposals. Researchers and practitioners from all areas of Natural Language Processing and related communities are invited to submit task proposals. For RANLP 2025, we welcome any task that can evaluate an automatic system for natural language processing. We especially encourage tasks for languages other than English, multi-lingual tasks, and tasks that develop novel applications of natural language processing. We strongly encourage proposals based on already published datasets, as this can provide concrete examples and help minimise the challenges of organising the shared task. In the event of receiving many proposals, preference will be given to proposals based on already published datasets. If you are unsure whether a task is suitable, please contact the shared task chairs to discuss your idea. Task Selection Task proposals will be reviewed by at least two reviewers, and the reviews will serve as the basis for acceptance decisions. Task proposals will be evaluated on: * Novelty - Is the task based on a new problem that has not been explored much in the community? If similar tasks have been organised before, does this task cover new languages/ domains? * Data – Is the data available and published already? Do annotations have meaningfully high inter-annotator agreements? Have all appropriate licenses for the use and re-use of the data been secured? * Evaluation—Is the evaluation methodology sound? Is there an automated platform for the evaluation (e.g., CodaLab, Kaggle)? Task Organisation We specifically welcome task proposals from early career researchers. However, we strongly encourage tasks that have a diverse team of organisers as that will ease the task organisation. Apart from providing a dataset, task organisers are expected to: 1. Verify data quality in terms of annotator agreement. 2. Verify licenses for the data to allow its use in the competition. 3. Provide task participants with baseline systems. 4. Create a CodaLab or other similar evaluation platform for the task and manage automatic evaluation. 5. Promote the task within the target research community. 6. Manage and organise review process of participants’ submissions of system description papers. 7. Write a task description paper to be included in RANLP proceedings. 8. Contribute to the tasks overview paper written by shared task chairs and other task organisers which will also be included in RANLP proceedings. 9. Register and present the shared task description paper at RANLP 2025 on either 11th or 12th September 2025 (the exact date will be confirmed later) Important Dates * Task proposals due - October 28, 2024 * Task selection notification – November 4, 2024 Recommended Timeline for the Tasks * Sample data and task website ready - November 15, 2024 * Training data ready - December 15, 2024 * Evaluation data ready - March 1, 2025 * Evaluation starts – March 10, 2025 * Evaluation end - March 31, 2025 (latest date; task organisers may choose an earlier date) * Paper submission due – April 20, 2025 * Notification to authors – May 16, 2025 * Task overview paper due – May 25, 2025 * Camera-ready due - May 31, 2025 * Shared task presentation co-located with RANLP 2025 – September 11 and September 12, 2025 Tasks that do not meet critical deadlines such as those for launching the task, setting up the CodaLab website, and uploading samples, training, and evaluation data may be cancelled at the discretion of the shared task chairs. Submission Details The task proposal should be a self-contained document of no longer than 2 pages (plus additional pages for references). All submissions must be in PDF format, following the RANLP 2023 template available at https://ranlp.org/ranlp2023/index.php/submissions/ Each proposal should contain the following: * Overview * Summary of the task – What is the goal of the task * Expected number of participants and justification * Data & Resources * How the training/testing data will be produced. Discuss whether the dataset is already published * Details of license, so that the data can be used by the research community * How much data will be produced * How data quality will be ensured and evaluated * An example of what the data would look like * Evaluation * The evaluation methodology to be used, including clear evaluation criteria - * The evaluation platform (i.e. CodaLab, Kaggle etc.) * Task organisers * Names, affiliations, email addresses * brief description of relevant experience or expertise The submissions should be done via START - https://softconf.com/ranlp25/papers/user/scmd.cgi?scmd=submitPaperCustom&pa… Proceedings Tasks overview paper, task description papers and participant papers will be published as part of RANLP 2025 proceedings in ACLAnthology. Task organisers and participants are expected to attend RANLP 2025 on September 11 and September 12, 2025, and present their work in order to include it in the proceedings. Shared Task Chairs Dr Tharindu Ranasinghe, Lancaster University, UK Dr Saad Ezzini, Lancaster University, UK RANLP 2024 Chairs Programme Committee Chair: Prof Dr Ruslan Mitkov, Lancaster University, UK Organising Committee Chair: Prof Dr Galia Angelova, Bulgarian Academy of Sciences, Bulgaria Best Regards Dr Tharindu Ranasinghe School of Computing and Communications | Lancaster University

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Free Open Advanced methods in corpus linguistics research group [online]
by Brezina, Vaclav 08 Oct '24

08 Oct '24

Open Advanced methods in corpus linguistics research group. The ESRC Centre for Corpus Approaches to Social Science, Lancaster University offers an online fortnightly research group for current and prospective students, early career as well as senior researchers led by Prof. Vaclav Brezina. The focus this term is on the #LancsBox tool<https://lancsbox.lancs.ac.uk/> and statistical analyses. For the first time, we are making the research group open to students and researchers outside of Lancaster University (prospective MA/PhD students, researchers and educators) via MS Teams links. Register for free: https://forms.office.com/e/YT5md2fjka Professor Vaclav Brezina Professor in Corpus Linguistics Department of Linguistics and English Language ESRC Centre for Corpus Approaches to Social Science Faculty of Arts and Social Sciences, Lancaster University Lancaster, LA1 4YD Office: County South, room C05 T: +44 (0)1524 510828 [cid:image001.jpg@01DB1993.CE61E290]@vaclavbrezina [cid:image002.jpg@01DB1993.CE61E290]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>

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[Andaluz.IA 2024] CFP II Andaluz.IA Forum
by Salud María Jiménez Zafra 08 Oct '24

08 Oct '24

==================================================================== CFP II Andaluz.IA Forum December 20, 2024, Antigua Escuela de Magisterio (Universidad de Jaén) ==================================================================== From ten Andalusian universities and the Joint Research Centre of the European Commission we are organizing the II Andaluz.IA Forum <https://sites.google.com/view/andaluzia/home>, a meeting whose main objective is to show the potential and give visibility to the academic and research community in Artificial Intelligence in our region. This forum seeks to highlight the work of Andalusian scientists, both those who are currently working in Andalusia, as well as those who have spent part of their training or career in the region, regardless of their current place of work. The first edition of the Andaluz.IA forum <https://sites.google.com/view/andaluzia2023/> was organized at Universidad Pablo Olavide in Seville and this year it will take place at Universidad de Jaén. With this second edition, we want to continue highlighting the great potential for research and academic development in Artificial Intelligence that Andalusia has, in areas such as machine learning, deep learning, robotics and natural language processing. The event will be held in person on December 20, 2024 at the Antigua Escuela de Magisterio (Universidad de Jaén). Interested researchers can participate by presenting their results in oral or poster format, provided that they have been accepted in relevant conferences or journals in the area. In addition, professionals and companies wishing to participate may do so through sponsorship or direct participation by registering on the event's website. For more information on registration, submission of papers and forms of sponsorship, please consult the following link: https://sites.google.com/view/andaluzia/call-for-papers <https://sites.google.com/view/andaluzia/call-for-papers>. IMPORTANT DATES ● Deadline for submission of papers: October 15, 2024. ● Notification of acceptance: November 4, 2024 ● Deadline for registration at a reduced rate: November 15, 2024 CONTACT INFORMATION maite(a)ujaen.es sjzafra(a)ujaen.es ORGANIZING COMMITTEE https://sites.google.com/view/andaluzia/organisers [image: Universidad de Jaén] <http://www.uja.es/> *Salud María Jiménez Zafra* sjzafra(a)ujaen.es Universidad de Jaén Grupo de Investigación SINAI <http://sinai.ujaen.es/> | Departamento de Informática EPS Jaén, Edificio A3, Despacho 326 Campus Las Lagunillas s/n 23071 - Jaén | +34 953212992 [image: Universidad de Jaén] <http://www.uja.es/>

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New Paper Submission Deadline: October 14, 2024
by Itziar Gonzalez Dios 08 Oct '24

08 Oct '24

[ Apologies for crossposting ] *Global WordNet Conference 2025 - GWC2025* The Global Wordnet Association is delighted to announce the *13th International Global Wordnet Conference* (GWC2025), to be held in *Pavia (Italy) from 27 to 31 January, 2025*. The GWC2025 conference will be hosted by the Department of Humanities, at the University of Pavia. 📍*Dates*: 27-Jan-2025 - 31-Jan-2025 *Location*: Pavia, Italy *Meeting Email*: gwc2025pavia(a)unipv.it *Web Site*: https://unipv-larl.github.io/GWC2025/ 🗓️ *New Paper Submission Deadline: October 14, 2024* We invite submissions of original research contributions addressing, though not limited to, the topics listed below. *Presentations of new WordNets *will be assigned to a dedicated panel. Additionally, proposals for tutorials and demonstrations or panel discussions on *WordNet for ancient languages* are encouraged. Conference topics: - Lexical semantics and meaning representation; - Architecture of lexical databases; - Tools and methods for WordNet development; - Applications of WordNet; - Standardization, distribution and availability of WordNet and WordNet tools See the full call for papers here: https://easychair.org/cfp/gwc2025

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UMR Summer School in Boston 2025 - First Call
by kristine.stenzel＠colorado.edu 07 Oct '24

07 Oct '24

UMRs in Boston Summer School – 1st Call for Applications June 9-13, 2025 Brandeis University, Massachusetts, USA We invite applications for a five-day summer school on Uniform Meaning Representations (UMR). Impressive progress has been made in many aspects of natural language processing (NLP) in recent years. Most notably, the achievements of transformer-based large language models such as ChatGPT would seem to obviate the need for any type of semantic representation beyond what can be encoded as contextualized word embeddings of surface text. Advances have been particularly notable in areas where large training data sets exist, and it is advantageous to build an end-to-end training architecture without resorting to intermediate representations. For any truly interactive NLP applications, however, a more complete understanding of the information conveyed by each sentence is needed to advance the state of the art. Here, "understanding'' entails the use of some form of meaning representation. NLP techniques that can accurately capture the required elements of the meaning of each utterance in a formal representation are critical to making progress in these areas and have long been a central goal of the field. As with end-to-end NLP applications, the dominant approach for deriving meaning representations from raw textual data is through the use of machine learning and appropriate training data. This allows the development of systems that can assign appropriate meaning representations to previously unseen text. In this five-day course, instructors from the University of Colorado and Brandeis University will describe the framework of Uniform Meaning Representations (UMRs), a recent cross-lingual, multi-sentence incarnation of Abstract Meaning Representations (AMRs), that addresses these issues and comprises such a transformative representation. Incorporating Named Entity tagging, discourse relations, intra-sentential coreference, negation and modality, and the popular PropBank-style predicate argument structures with semantic role labels into a single directed acyclic graph structure, UMR builds on AMR and keeps the essential characteristics of AMR while making it cross-lingual and extending it to be a document-level representation. It also adds aspect, multi-sentence coreference and temporal relations, and scope. Each day will include lectures and hands-on practice. Topics to be covered may include the following, among others: 1. The basic structural representation of UMR and its application to multiple languages; 2. How UMR encodes different types of MWE (multi-word expressions), discourse and temporal relations, and TAM (tense-aspect-modality) information in multiple languages, and differences between AMR and UMR; 3. Going from IGT (interlinear glossed text) to UMR graphs semi-automatically; 4. Formal semantic interpretation of UMR incorporating a continuation-based semantics for scope phenomena involving modality, negation, and quantification; 5. Extension to UMR for encoding gesture in multimodal dialogue, Gesture AMR (GAMR), which aligns with speech-based UMR to account for situated grounding in dialogue. 6. UMR parsing and applications To apply, please complete this form by Nov. 15, 2024. https://www.colorado.edu/linguistics/umrs-boston-summer-school-application Other important dates: ● Notification of acceptance: Dec. 15, 2024 ● Confirmation of participation: Jan. 31, 2025 Participation will be fully funded (reasonable airfare, lodging, and meals). This summer school has been made possible by funding from NSF Collaborative Research: Building a Broad Infrastructure for Uniform Meaning Representations (Award # 2213805), with additional support from Brandeis University.

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Tenure-Track Hiring in Human-Centered & Responsible AI @ UT Austin
by Matt Lease 07 Oct '24

07 Oct '24

The School of Information (iSchool) at The University of Texas at Austin (UT Austin) seeks to hire up to two tenure-track faculty in Building Human-Centered, Ethical, and Responsible AI Systems <https://apply.interfolio.com/156609>, with positions starting in Fall 2025. Application review and scheduling of initial zoom interviews will begin on November 1, 2024. The last day to apply is December 1, 2024. Questions about this faculty search should be directed to facultysearch(a)ischool.utexas.edu. Please see the job link above for full details, but below is an extract from it regarding the topic of the search. *Building AI Systems* We seek candidates who investigate human-centered artificial intelligence (AI) systems through designing, building, and technically evaluating such systems. Our call is intended to be broadly inclusive of the range of AI subdisciplines and areas such as (but not limited to): machine learning (ML), natural language processing (NLP), computer vision (CV), and generative AI and large language models (LLMs), etc. Candidates should develop AI systems in their research that advance support for human work or activities, e.g., by augmenting and amplifying the capabilities of individuals or groups of people. *Research directions in this area may include (but are not limited to)*: - Innovative methods and applications that integrate AI with human computation - Complementary human-AI teaming and supportive workflow design - Human-in-the-loop decision-making and decision-support - AI-assisted data annotation - Accelerating and improving human-centered AI evaluation protocols - Imagining other novel forms of human-AI partnerships *Potential outcomes of such research may include (but are not limited to)*: - Advancing fundamental understanding of the nature and range of human-AI partnerships, as well as how best to design, build, and evaluate them - Investigating potential productivity benefits, such as the speed, scale, quality, and/or economics of human labor with vs. without AI-augmentation - Advancing ethical and responsible design for system users, AI supply-chain workers, and/or society at-large around issues such as: trustworthiness and reliability; transparency and interpretability; fairness and social justice (for both AI users and workers); and accountability and algorithmic recourse - Protecting private and sensitive data; the information environment and information integrity; human safety, health, and wellbeing; and the environment, via sustainable, green computing We look forward to your application! -- *MATT LEASE (he/him) * Professor | School of Information Co-Director | NSF-Simons AI Institute for Cosmic Origins <https://oden.utexas.edu/news-and-events/news/New-CosmicAI-Institute-led-by-…> Leadership Team | UT Good Systems <http://goodsystems.utexas.edu/> (Responsible AI Initiative) Principal Investigator | Protecting Information Integrity <https://goodsystems.utexas.edu/information-integrity> *The University of Texas at Austin* p 512.471.9350 <%28512%29%20471-9350> | f 512.471.3971 | office: UTA <https://utdirect.utexas.edu/apps/campus/buildings/nlogon/maps/UTM/UTA/> 5.536 mattlease.com | X @mattlease <https://x.com/mattlease>

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Call for Papers: Corpus Linguistics 2025
by Robbie Love 07 Oct '24

07 Oct '24

Dear colleagues We are pleased to announce that the International Corpus Linguistics Conference 2025 (CL2025) - co-organised by Aston University, Birmingham City University, and the University of Birmingham - will take place from Tuesday 1st - Friday 4th July 2025 at Aston University<https://www.aston.ac.uk/>, preceded by a workshop day on Monday 30th June. The call for papers is now live on the CL2025 conference website: https://www.cl2025.co.uk/call-for-papers CL2025 welcomes submissions for paper presentations, poster presentations, thematic panels, and pre-conference workshops that engage in some way with the tools, methods, and techniques of corpus linguistics. KEY DATES * Submission deadline: 17th January 2025 * Notification of acceptance: 28th February 2025 * Early bird registration deadline: 2nd May 2025 * Conference dates: 1st - 4th July 2025 PLENARY SPEAKERS * Laurence Anthony (Waseda University, Japan) * Gavin Brookes (Lancaster University, UK) * Elizabeth Hanks (Northern Arizona University, USA) * Pascual Pérez-Paredes (University of Murcia, Spain) * Anna Marchi (University of Bologna, Italy) & Charlotte Taylor (University of Sussex, UK) For further information, please visit the conference website at www.cl2025.co.uk<http://www.cl2025.co.uk> or write to the CL2025 organising committee at corpuslinguistics2025(a)gmail.com<mailto:corpuslinguistics2025@gmail.com>. Best wishes Robbie Love On behalf of the CL2025 Organising Committee: Matt Gee (Birmingham City University), Andrew Kehoe (Birmingham City University), Joyce Lim (Aston University), Robbie Love (Aston University), Mark McGlashan (University of Liverpool), Akira Murakami (University of Birmingham), Paul Thompson (University of Birmingham) Dr Robbie Love (he/him) BA (Hons), ma, phd, cdls, fhea Senior Lecturer in English Language and Linguistics Programme Development Lead Department of English, Languages and Applied Linguistics School of Law and Social Sciences Aston University, Birmingham, UK [Aston University] Newsletter Editor, British Association for Applied Linguistics (BAAL)<https://www.baal.org.uk/> Communications Officer, BAAL Corpus Linguistics Special Interest Group<https://baal-clsig.weebly.com/> Organising Committee, Corpus Linguistics Conference 2025<https://www.cl2025.co.uk/> Research profile: research.aston.ac.uk/en/persons/robbie-love<https://research.aston.ac.uk/en/persons/robbie-love> Website: robbielove.org/<https://robbielove.org/>

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