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job posting - PhD student information extraction & NLP
by Laura Kallmeyer 04 Dec '23

04 Dec '23

PhD student– Information Extraction & Natural Language Processing Starting now / at the soonest possible date, the Data & Knowledge Engineering group at Heinrich-Heine-University (HHU, Düsseldorf), affiliated with Knowledge Technologies for Social Sciences (KTS, https://www.gesis.org/en/kts) at GESIS (Cologne) and the Computational Linguistics department at HHU ( https://www.ling.hhu.de/bereiche-des-institutes/abteilung-fuer-computerling…) are looking for a *PhD student– Information Extraction & Natural Language Processing* (Salary group 13 TV-L, working time 75%-100%, initially limited to 36 months with the possibility of further extension) In the context of the research project "NewOrder", we are investigating scientific online discourse in news & social media, in an interdisciplinary consortium involving researchers from Computer Science, Psychology, Political and Communication Science. Our research will be concerned with novel Natural Language Processing (NLP) methods for the analysis of scientific online discourse (e.g. on Twitter) addressing challenges arising from its informal nature and heterogeneity. For instance, references to scientific works (e.g. publications, studies, datasets), scientists or scientific organisations are often provided in informal and ambiguous ways. Other challenges include the dynamically evolving vocabulary posing challenges for reuse and adaptation of both pretrained language models as well as NLP models finetuned towards specific downstream tasks. Hence, detecting and disambiguating informal science discourse and associated claims remains a challenging problem. Your tasks will be: ******************* * Research in fields such as NLP, Machine Learning, Language Modeling and Representation learning, specifically with the aim to extract structured information from online discourse data * Develop NLP methods for (i) the detection, disambiguation and classification of sources of science-related information on social media, (ii) assessing the quality and credibility of sources and claims and (iii) investigating implicit language cues for cognitive states and source characteristics/traits * Writing, publishing and presenting project results * Collaboration with team members and project partners in an interdisciplinary consortium Your profile: ************** * University degree (diploma/MSc) in Computational Linguistics, Computer Science or related fields * Research interests in NLP, machine learning, data mining, large language models * Hands-on experience with Python and handling big datasets, ideally experience with Big Data Frameworks (e.g. Spark/Hadoop) * Knowledge of ML-Frameworks such as TensorFlow and PyTorch * Ability to communicate fluently in English mandatory, basic knowledge of the German language desirable What we offer: *************** * Flexible working hours and home office arrangements * A fast growing and international working environment with a lot of creative scientific freedom * Access to unique research data, (social) web archives and behavioral data * Support of collaborations with international research labs and experts through an extensive international exchange programme The PhD research will be supervised by Prof. Dr. Stefan Dietze (Scientific Director of KTS at GESIS and Professor for Data & Knowledge Engineering at HHU) & Prof. Dr. Laura Kallmeyer (Chair of Computational Linguistics department at HHU). For further information please contact Stefan Dietze (stefan.dietze(a)hhu.de) and/or Laura Kallmeyer (kallmeyer(a)phil.uni-duesseldorf.de). Interested? ************* Please apply by sending your complete application documents as a single PDF file to stefan.dietze(a)hhu.de by 20 December 2023. -- Prof. Dr. Laura Kallmeyer Institut für Linguistik Heinrich-Heine Universität Duesseldorf Universitaetsstr. 1 D-40225 Duesseldorf, Germany https://user.phil.hhu.de/kallmeyer/ Phone +49 (0)211 8113899

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NLP Fully Funded PhD position at Ulster University, UK
by muskaan singh 03 Dec '23

03 Dec '23

Hi all, I have two fully funded position for 3 years in Social Network Analysis https://www.ulster.ac.uk/doctoralcollege/find-a-phd/1577710 Speech and Language Disorder, https://www.ulster.ac.uk/doctoralcollege/find-a-phd/1577271 If you're interested, please feel free to contact me for more details or apply on the link provided. Thanks, Muskaan Singh

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Fully funded PhD positions in NLP/AI
by Somnath Banerjee 03 Dec '23

03 Dec '23

Dear all, Applications are invited for a fully funded PhD (4-year) on Natural language processing (NLP) and social computing. POSITIONS: Presently, I am looking to recruit 2 PhD students to start their PhD as members of the TARTUNLP Group, Institute of Computer Science<https://cs.ut.ee/en>, at the University of Tartu. The University of Tartu is one of the oldest universities (founded in 1632) in Northern and Eastern Europe. As of 2023, the University of Tartu belongs to the top 1% of the world's universities. Here, 13,000 students and 3000 staff members study and work in a diverse range of fields connected by the power of curiosity. SCOPE (but not limited to): - Content analysis on Social Media (Named Entity Recognition, Sentiment analysis, etc.) - Information Disorder on Social Media (Fake news, Cyberbullying, Hate Speech, misinformation, etc.) - Disaster Management Using Social Media - Explainable AI in NLP - LLM BENEFITS: - Scholarship approximately 2000 Euro/month gross amount. - Health insurance cover. - Travel grant for attending conferences and workshops, etc. HOW TO APPLY: - Send your latest CV to somnath.banerjee(a)ut.ee with the subject line "PhD position 2024". Your CV must include: - final year undergraduate/graduate project (brief description: max 150 words) - pursued relevant subjects at undergraduate and/or Master level (if any) - relevant work experience (if any) - publications (if any) - The name and email contacts of academic referees(optional) **Do not send academic certificates, motivation letters, letters of recommendation, etc. Upon initial selection based on CVs, additional documents will be asked for further processing. NOTE: - Master-level students who are in their final semester also can apply. - Applications will be considered until the position is filled. However, you are encouraged to apply early as the processing of the applications will start soon after receiving them. For queries: Feel free to reach out with questions or comments by contacting somnath.banerjee(a)ut.ee with the subject line "PhD positions queries". Kind regards, Somnath Banerjee Assistant Professor, Chair of Natural Language Processing, Institute of Computer Science, University of Tartu, webpage: http://www.ut.ee/~somnath/

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SEPLN – CEDI 2024: 40th INTERNATIONAL CONFERENCE OF THE SPANISH SOCIETY FOR NATURAL LANGUAGE PROCESSING - VII CONGRESO ESPAÑOL DE INFORMÁTICA
by rafael＠dlsi.ua.es 01 Dec '23

01 Dec '23

SEPLN – CEDI 2024: 40th INTERNATIONAL CONFERENCE OF THE SPANISH SOCIETY FOR NATURAL LANGUAGE PROCESSING - VII CONGRESO ESPAÑOL DE INFORMÁTICA A Coruña, Spain June 20, 2024 The Spanish Society for Natural Language Processing (SEPLN) is pleased to invite you to participate in the Special SEPLN – CEDI Seminar 2024. The Seminar will take place on 20 June 2024 in A Coruña (Spain) co-located with the VII Congreso Español de Informática. The SEPLN-CEDI 2024 Seminar intends to be an appropriate forum for helping new professionals to become active members in this field. In this respect, its main aim is to give the possibility to present real NLP applications (demos) and R&D projects. Topics of interest Topics related to NLP, including but not limited to: Linguistic, mathematical and psycholinguistic models of language. Machine learning in NLP. Computational lexicography and terminology. Corpus linguistics. Development of linguistic resources and tools. Morphological and syntactic analysis. Semantics, pragmatics and discourse. Word sense disambiguation. Monolingual and multilingual text generation. Machine translation. Knowledge and common sense. Multimodality. Spoken language processing. Dialogue systems and interactive systems / Conversational assistants. Multimedia indexing and retrieval. Monolingual and multilingual information extraction and retrieval. Question answering systems. Evaluation of NLP systems. Automatic textual content analysis. Sentiment analysis and argument mining. Plagiarism detection. Negation and speculation processing. Text mining in social media. Text summarization. Text simplification. NLP in the biomedical domain. NLP-based generation of teaching resources. NLP for languages with limited resources. NLP industrial applications. Low-resource NLP tasks, data augmentation. Ethics and NLP. Interpretability and Analysis of Models for NLP. Structure of the Conference The SEPLN-CEDI 2024 Seminar will be a one-day event and will include sessions to present ongoing research projects and prototype or product demos related to the topics of the conference. Paper types and author guidelines The SEPLN-CEDI 2024 Seinar will accept two kinds of papers: (1) research project summaries and (2) system demonstration papers. Research project summaries. They are summaries of ongoing research projects. This kind of papers must include the following information: Project title. Author name, affiliation and contact information. The review of this kind of paper is not blind review. Funding institutions. Research Groups participating in the project. Language: English. We will not accept research project summaries in Spanish or other languages. An abstract of a maximum of 150 words and a list of keywords. Minimum length: 5 A4-size pages. Maximum length: 6 A4-size pages (including references). In the submission platform you have to choose “Projects and Demos” as main topic. System demonstration papers. These papers must be related to NLP applications, and they must describe the technical details and the NLP components used or developed. The paper must be written in English, the minimum length of the paper must be 5 A4-size pages and the maximum length is 6 A4-size pages of content with the references included. In the submission platform you have to choose “Projects and Demos” as main topic. The research project summaries and the system demonstration papers will be published in CEUR Workshop Proceedings platform, which is widely known by the computer science research community. Accordingly, the paper format must be in accordance with the CEUR template. We have adapted the CEUR Latex Template to SEPLN 2023 and you can download it (Latex, Word). Submission Information. The papers must be submitted by February 16th, 2024. All submissions must be in PDF format and submitted electronically using the MyReview system available. Submitted papers will be subjected to a blind review by at least three members of the SEPLN advisory council. Camera ready - the final version of the paper should be submitted together with a cover letter explaining how the suggestions of the reviewers were implemented in the final version. This cover letter will be considered in order to accept or finally reject the selected paper. Preprint policy – The CEUR proceedings allows the publication of preprints (non-refereed paper posted online, such as ArXiv) anytime, but during the review period the preprint must indicate that the paper is “under review” in the CEUR Proceedings. Likewise, if the paper is accepted, the preprint must be updated with the DOI, name of the Journal and the bibliographic information of the paper. Important dates Deadline for the submission of projects and demos: Febraury 16th, 2024. Notification of acceptance: March 16th, 2024. Deadline Authors Registration: April 8th, 2024 Camera Ready: May 8th, 2024. Conference: June 20th, 2024. Organizing Committee Rafael Muñoz Guillena University of Alicante (Spain). Elena Lloret Pastor University of Alicante (Spain). Eugenio Martínez Cámara University of Granada (Spain). Alba Bonet University of Alicante (Spain) Robiert Sepúlveda University of Alicante (Spain) Alvaro Rodrigo Yuste UNED (Spain) Contact All information related to the conference can be found at: https://seplncedi2024.gplsi.es For all general enquiries, please contact: seplncedi2024(a)googlegroups.com ------------------------------------------------------------------------- Rafael Muñoz Guillena Universidad de Alicante -------------------------------------------------------------------------

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Call for applications (all areas of linguistics): funded training school, ‘Language in the Human-Machine Era’, Hradec Králové, Czech Republic, 27–31 May 2024 (deadline Tuesday 19 Dec 2023 12:00 CET)
by Rui Sousa Silva 01 Dec '23

01 Dec '23

‘Language in the Human-Machine Era’ (https://lithme.eu/) welcomes everyone interested in the impact of new and emerging language technologies that integrate with human senses. Whether you are a tech developer who wants to learn more about linguistics, or a linguist who wants to know more about tech, we want to hear from you! You can find out more about our themes of interest from our published forecast report (https://doi.org/10.17011/jyx/reports/20210518/1) and our animations (https://lithme.eu/animations). Funding is available to people in European countries and in countries neighbouring Europe (see https://www.cost.eu/about/strategy/cost-global-networking/). Self-funded applicants from any country are also welcome, with no registration fee. LITHME’s overall aim is to prepare for imminent changes in the way we use technology to communicate. From immersive augmented reality to super-intelligent chatbots, in the near future we will be communicating in very different ways. This will present significant challenges for all areas of linguistics and language research; meanwhile, developers need insights from linguistic research to improve the technologies themselves. So we must all adapt. Our fully funded training school is open to any eligible researcher or practitioner who is interested in exploring these timely topics. We welcome experienced developers, but no technological expertise is required, only an interest in exploring the possible effects of these near-future advances in language technology. More information about eligibility, and the online application form, can be found at https://lithme.eu/training-school-2024/<https://lithme.eu/training-school/>. The deadline for applications is Tuesday 19 Dec 2023, 12:00 CET. Please forward this email on to anyone who may be interested, and please repost the announcement here: https://twitter.com/LgHumanMachine/status/1724750085907484672 https://bsky.app/profile/lghumanmachine.bsky.social/post/3ke7xbuozl22k We hope to see you in Hradec Králové! Best wishes, Rui Sousa-Silva (on behalf of the training school organising committee) Rui Sousa Silva Faculdade de Letras, Universidade do Porto Faculty of Arts and Humanities, University of Porto www.linguisticaforense.pt | https://s.up.pt/qjur

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Second CfP: The 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
by Stan Szpakowicz 01 Dec '23

01 Dec '23

*LaTeCH-CLfL 2024: The 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature * to be held in March 2024 in conjunction with EACL 2024 <https://2024.eacl.org/> in St Julian’s, Malta. https://sighum.wordpress.com/latech-clfl-2024/ Second Call for Papers (with apologies for cross-posting) Organisers: Yuri Bizzoni, Stefania Degaetano-Ortlieb, Anna Kazantseva, Stan Szpakowicz LaTeCH-CLfL 2024 is the eighth in a series of meetings for NLP researchers who work with data from the broadly understood arts, humanities and social sciences, and for specialists in those disciplines who apply NLP techniques in their work. The workshop continues a long tradition of annual meetings. The SIGHUM Workshops on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH) ran ten times in 2007-2016. The five Workshops on Computational Linguistics for Literature (CLfL) took place in 2012-2016. The first seven joint workshops (LaTeCH-CLfL) were held in 2017-2023. *Topics and content* In the Humanities, Social Sciences, Cultural Heritage and literary communities, there is increasing interest in, and demand for, NLP methods for semantic and structural annotation, intelligent linking, discovery, querying, cleaning and visualization of both primary and secondary data. This is even true of primarily non-textual collections, given that text is also the pervasive medium for metadata. Such applications pose new challenges for NLP research: noisy, non-standard textual or multi-modal input, historical languages, vague research concepts, multilingual parts within one document, and so no. Digital resources often have insufficient coverage; resource-intensive methods require (semi-)automatic processing tools and domain adaptation, or intense manual effort (e.g., annotation). Literary texts bring their own problems, because navigating this form of creative expression requires more than the typical information-seeking tools. Examples of advanced tasks include the study of literature of a certain period, author or sub-genre, recognition of certain literary devices, or quantitative analysis of poetry. NLP methods applied in this context not only need to achieve high performance, but are often applied as a first step in research or scholarly workflow. That is why it is crucial to interpret model results properly; model interpretability might be more important than raw performance scores, depending on the context. More generally, there is a growing interest in computational models whose results can be used or interpreted in meaningful ways. It is, therefore, of mutual benefit that NLP experts, data specialists and Digital Humanities researchers who work in and across their domains get involved in the Computational Linguistics community and present their fundamental or applied research results. It has already been demonstrated how cross-disciplinary exchange not only supports work in the Humanities, Social Sciences, and Cultural Heritage communities but also promotes work in the Computational Linguistics community to build richer and more effective tools and models. Topics of interest include, but are not limited to, the following: • adaptation of NLP tools to Cultural Heritage, Social Sciences, Humanities and literature; • automatic error detection and cleaning of textual data; • complex annotation schemas, tools and interfaces; • creation (fully- or semi-automatic) of semantic resources; • creation and analysis of social networks of literary characters; • discourse and narrative analysis/modelling, notably in literature; • emotion analysis for the humanities and for literature; • generation of literary narrative, dialogue or poetry; • identification and analysis of literary genres; • interpretability of large language models output for DH-related tasks (explainable AI); • linking and retrieving information from different sources, media, and domains; • low-resource and historical language processing; • modelling dialogue literary style for generation; • modelling of information and knowledge in the Humanities, Social Sciences, and Cultural Heritage; • profiling and authorship attribution; • search for scientific and/or scholarly literature; • work with linguistic variation and non-standard or historical use of language. *Information for authors* We invite papers on original, unpublished work in the topic areas of the workshop. In addition to long papers, we will consider short papers and system descriptions (demos). We also welcome position papers. • Long papers, presenting completed work, may consist of up to eight (8) pages of content plus additional pages of references (just two if possible -:). The final camera-ready versions of accepted long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account. • A short paper / demo presenting work in progress, or the description of a system, and may consist of up to four (4) pages of content plus additional pages of references (one if you can). Upon acceptance, short papers will be given five (5) content pages in the proceedings. • A position paper — clearly marked as such — should not exceed eight (8) pages including references. All submissions are to use the EACL stylesheets (for LaTeX / Overleaf and MS Word); there will be a link soon (we hope) but last year's https://2023.eacl.org/calls/styles is a good guess. Papers should be submitted electronically, only in PDF, via the LaTeCH-CLfL2024 submission website on the SoftConf pages at https://softconf.com/eacl2024/LaTeCH-CLfL-2024/. Reviewing will be double-blind. Please do not include the authors’ names and affiliations, or any references to Web sites, project names, acknowledgements and so on — anything that immediately reveals the authors’ identity. Self-references should be kept to a reasonable minimum, and anonymous citations cannot be used. We will make an exception for demo papers: the review may be single-blind. Accepted papers will be published in the workshop proceedings available as usual in the ACL Anthology. *Important dates* (still tentative) Workshop paper due: December 18, 2023 Notification of acceptance: January 20, 2024 Camera-ready papers due: January 30 2024 Workshop date: March 21 or 22, 2024 *More on the organizers* Yuri Bizzoni, Center for Humanities Computing / School for Communication and Culture, Århus University Stefania Degaetano-Ortlieb, Language Science and Technology, Saarland University Anna Kazantseva, National Research Council Canada Stan Szpakowicz, School of Electrical Engineering and Computer Science, University of Ottawa *Contact* latech-clfl(a)googlegroups.com

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1st International Workshop on Open Web Search: Call for Participation
by maik.froebe＠uni-jena.de 30 Nov '23

30 Nov '23

We invite you to participate in the ECIR 2024 Workshop on Open Web Search. Since much of the web search technology stack is closed source, and many even basic pieces of technology for building a scalable web search engine are missing, the WOWS workshop aims to promote, discuss, and develop an open web search ecosystem. The workshop encourages submissions of scientific papers and implementations of retrieval components. For the practical part of submitting (parts of) retrieval pipelines, we offer mentoring of (early-stage) participants (e.g., bachelor/master students). Learn more at https://opensearchfoundation.org/wows2024 ------------------------------------------------------------------------------- Important Dates ------------------------------------------------------------------------------- Now open: Pre-Registration to coordinate implementation efforts at https://www.tira.io/t/pre-registration January 24, 2024: Early Bird Submission deadline February 14, 2024: Submission deadline March 13, 2024: Peer review notification March 20, 2024: Camera-ready papers submission March 28, 2024: Workshop (co-located with ECIR 2024 in Glasgow) Best regards, WOWS team

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Call for Shared Tasks Proposals - the 11th Workshop on Argument Mining (ACL 2024, Bangkok, Thailand)
by Yamen Ajjour 30 Nov '23

30 Nov '23

CALL FOR SHARED TASK PROPOSALS We cordially invite submissions of shared tasks as part of ArgMining 2024, the “11th Workshop on Argument Mining”. The workshop will be co-located with ACL 2024 (to be held in Bangkok, Thailand). Argument mining (also known as “argumentation mining”) is a gradually maturing research area within computational linguistics. It involves the automatic identification of argumentative structures in free text, as well as argument quality assessment, argument persuasiveness, and the synthesis of argumentative texts. To advance research on specific aspects of argument mining, previous editions of the ArgMining workshop series have promoted shared tasks, including key point analysis for quantitative summarization of arguments (see https://2021.argmining.org/), the validity and novelty of arguments (see https://argmining-org.github.io/2022/), multimodal argument mining and pragmatic tagging of peer reviews (see https://argmining-org.github.io/2023). Following the success of previous workshops, ArgMining 2024 plans to share one or more unsolved problems to be investigated by the community. Proposals for shared tasks should include: * a title and a brief description of the task * a description of the datasets that will be used in the task and their readiness, and a proposed plan for data collection and annotation * previous work on the datasets, including publications (if any) * a few lines regarding evaluation of the submitted systems * a brief introduction of the task organizers Shared task organizers will have the opportunity to publish a task overview paper in the workshop proceedings. Please submit your shared task proposal via email to argmining.org [at] gmail.com. The submission deadline is January 5, 2024, and task organizers will be notified of proposal acceptance on January 19, 2024. While exact dates are not yet available, we assume the following tentative schedule: * End of February - Training data release * Mid of April - Test data release, evaluation start * End of April - Evaluation end * Mid of May - Results announcement * End of May - Paper submission due * End of June - Camera-ready version due * Mid of August - ArgMining 2024 workshop (ACL) The timeline will be finalized with the shared task organizers. ORGANIZERS: Yamen Ajjour, Leibniz University Hannover Roy Bar-Haim, IBM Research Roxanne El Baff, German Aerospace Center (DLR) and Bauhaus-Universität Zhexiong Liu, University of Pittsburgh Gabriella Skitalinskaya, Leibniz University Hannover

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[IberLEF 2024] Call for Task Proposals
by Salud María Jiménez Zafra 30 Nov '23

30 Nov '23

================================= IberLEF 2024 -- Call for Task Proposals ================================= The goal of IberLEF is to encourage the research community to organize competitive text processing, understanding and generation tasks, with the aim of defining new research challenges and advancing the state of the art in Natural Language Processing challenges involving at least one of the following Iberian languages: Spanish, Portuguese, Catalan, Basque or Galician. Researchers and practitioners from all areas of Natural Language Processing and related communities are invited to submit task proposals that fit IberLEF goals by December 22, 2023. Proposals must be submitted (as a pdf file) to iberlef(a)googlegroups.com, and should include the following fields: - Title of the task. - Description of the task, highlighting: - Relevance and novelty of the task, and the challenges involved. - Evaluation measures, and other relevant methodological aspects. - Expected target community, and actual or potential industrial takeup. - Related evaluation activities, if any. - Previous editions of the task, if any. If it has been organized previously, what the roadmap is and what the novelties for 2024 are. - Linguistic resources to be gathered, created and/or reused. Please include as many details on data gathering, selection and annotation procedures as possible: sources and representativity, training/validation/test sizes, harvesting procedures, profile of annotators (experts, linguists, crowdworkers, etc.), multiple annotation policy, IPR issues, baselines, etc. - Tentative schedule (note that camera-ready versions of the proceedings must be ready by July 11, 2024). - Organization committee: full name and affiliation of the organizers, with a succinct description of their research interests, areas of expertise and experience organizing similar events. - Funding, if available. - Contact person. - Any other relevant issues. Task organizers duties Note that organizers of accepted tasks are expected to: - Set up the evaluation exercise according to the submitted proposal. - Promote the task within the target research community. - Manage the submission and scientific evaluation of the system description papers of the corresponding systems submitted by the participants. The accepted papers will be published in the IberLEF proceedings. - Prepare and submit an overview of the evaluation exercise. - Present the results of the task at IberLEF 2024. Task selection procedure Each submitted proposal will be reviewed by members of the IberLEF steering and program committee, and decisions will be sent back to the task organizers by January 26, 2024. Proceedings IberLEF 2024 Proceedings including the description of the participating systems will be published at CEUR-WS.org. Task Overviews will be published in the SEPLN journal (http://www.sepln.org/en/journal, indexed in Clarivate ESCI (JCI: 0.21), CiteScore (Scopus): 2,9 and SJR: 0,421) in its September 2024 issue. Task Organizers are expected to send the camera ready task and system description papers for their task to IberLEF organizers by July 11, 2024. Important dates - Task proposals due: December 22, 2023. - Notification of acceptance: January 26, 2024. - Camera ready submissions due: July 11, 2024. - IberLEF Workshop: September 2024. IberLEF general chairs: Salud María Jiménez Zafra, SINAI, Universidad de Jaén (Spain) Luis Chiruzzo, Universidad de la República (Uruguay) Francisco Rangel, Symanto Research (Spain) Website https://sites.google.com/view/iberlef-2024 Contact E-mail: iberlef(a)googlegroups.com ================================= [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 219 Campus Las Lagunillas s/n 23071 - Jaén | +34 953212992 [image: Universidad de Jaén] <http://www.uja.es/>

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36th International Conference on Advanced Information Systems Engineering (CAiSE 2024): Last Mile for Paper Submission
by Announce 30 Nov '23

30 Nov '23

*** Last Mile for Paper Submission *** 36th International Conference on Advanced Information Systems Engineering (CAiSE'24) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Submission Deadline: Abstract: December 1, 2023 AoE; Paper: December 8, 2023 AoE ***) The CAiSE’24 organization calls for full papers with a special emphasis on the theme of Information Systems in the Age of Artificial Intelligence. Artificial Intelligence (AI) has emerged as a transformative technology, revolutionizing various industries, and its significance in Information Systems cannot be overstated. AI-powered systems have the potential to streamline operations, enhance decision-making processes, and drive innovation across organizations. From data analysis to automated processes, AI is reshaping the way we leverage information in the digital age. The relevance of AI in IS extends beyond internal operations. AI-powered predictive analytics enables organizations to forecast trends, anticipate customer needs, and optimize resource allocation. This empowers businesses to adapt swiftly to changing market dynamics, gain a competitive edge, and make proactive decisions. AI algorithms can also detect anomalies and patterns that indicate potential security breaches, contributing to robust cybersecurity measures in information systems. However, while acknowledging the benefits, it is essential to consider the ethical implications of AI in information systems. Ensuring data privacy, addressing bias in algorithms, and maintaining transparency are vital aspects that need to be carefully managed and regulated to foster trust and accountability. In addition to offering an exciting scientific program, CAiSE’24 will feature a best paper award, a journal special issue, and a PhD-thesis award: • Best Paper Award‚ prize EUR 1000 (sponsored by Springer) • A small selection of best papers will be invited to submit enhanced versions for consideration in a special issue of Elsevier Information Systems journal dedicated to this conference. • PhD-Thesis Award • Best PhD thesis of a past CAiSE Doctoral Consortium author (co-sponsored by the CAiSE Steering Committee and Springer) Papers should be submitted in PDF format. Submissions must conform to Springer‚ LNCS format and should not exceed 15 pages, including all text, figures, references, and appendices. Submissions not conforming to the LNCS format, exceeding 15 pages, or being obviously out of the scope of the conference, will be rejected without review. See the guidelines here: https://www.springer.com/comp/lncs/authors.html . The results described must be unpublished and must not be under review elsewhere. Three to five keywords characterizing the paper should be listed at the end of the abstract. Each paper will be reviewed by at least two program committee members and, if positively evaluated, by one additional program board member. The selected papers will be discussed among the paper reviewers online and during the program board meeting. As the review process is not blind, please indicate your name and affiliation on your submission. Accepted papers will be presented at CAiSE’24 and published in the Springer Lecture Notes in Computer Science (LNCS) conference proceedings. We invite three types of original and scientific papers. The type of submission must be indicated in the submission system. Each contribution should explicitly address the engineering or the operation of information systems, clearly identify the information systems problem addressed, the expected impact of the contribution to information system engineering or operation, and the research method used. We strongly advise authors to clearly emphasize these aspects in their paper, including the abstract. Technical papers describe original solutions (theoretical, methodological or conceptual) in the field of IS Engineering. A technical paper should clearly describe the situation or problem tackled, the relevant state of the art, the position or solution suggested and its potential‚ as well as demonstrate the benefits of the contribution through a rigorous evaluation. Empirical papers evaluate existing problem situations including problems encountered in practice, or validate proposed solutions with scientific means, i.e., by empirical studies, experiments, case studies, experience reports, simulations, etc. Scientific reflection on problems and practices in industry also falls into this category. The topic of the evaluation presented in the paper as well as its causal or logical properties must be clearly stated. The research method must be sound and appropriate. Exploratory papers describe completely new research positions or approaches, in order to face a generic situation arising because of new ICT tools, new kinds of activities, or new IS challenges. They must precisely describe the situation and demonstrate why current methods, tools, ways of reasoning, or meta-models are inadequate. They must also rigorously present their approach and demonstrate its pertinence and correctness in addressing the identified situation. The topics of contribution include but are not limited to: • Novel Approaches to IS Engineering ◦ Artificial Intelligence and Machine Learning ◦ Robotic Process Automation (RPA) ◦ Big Data, Data Science and Analytics ◦ Blockchain applications in IS ◦ Simulation and Digital Twins  ◦ IS for collaboration and social computing  ◦ Virtual reality / Augmented Reality ◦ Context-aware, autonomous and adaptive IS • Models, Methods and Techniques in IS Engineering ◦ Ontologies and Ontology Engineering ◦ Conceptual modeling, languages and design ◦ Requirements engineering ◦ Process modeling, analysis and improvement ◦ Process automation, mining and monitoring ◦ Models and methods for evolution and reuse ◦ Domain and method engineering ◦ Product lines, variability and configuration management ◦ Compliance and alignment handling ◦ Active and interactive models ◦ Quality of IS models for analysis and design ◦ Visualization techniques in IS ◦ Decision models and business intelligence ◦ Knowledge graphs ◦ Human-centered techniques • Architectures and Platforms for IS Engineering ◦ Distributed, mobile and open architecture ◦ Big Data architectures ◦ Cloud- and edge-based IS engineering ◦ Service oriented and multi-agent IS engineering ◦ Multi-platform IS engineering ◦ Cyber-physical systems and Internet of Things (IoT) ◦ Workflow and Process Aware Information Systems (PAIS) ◦ Handling of real time data streams ◦ Content management and semantic Web ◦ Crowdsourcing platforms ◦ Conversational agents (chatbots) ◦ Microservices design and deployment • Domain-specific and Multi-aspect IS Engineering ◦ IT governance ◦ eGovernment ◦ Autonomous and smart systems (smart city management, smart vehicles, etc.) ◦ IS for healthcare ◦ Educational Systems and Learning Analytics ◦ Value and supply chain management ◦ Industry 4.0 ◦ Sustainability and social responsibility management ◦ Privacy, security, trust, and safety management ◦ IS in the post-COVID world Submit your paper using the Easy Chair link: https://easychair.org/conferences/?conf=caise2024 . IMPORTANT DATES • Abstract Submission: 1st December 2023 (AoE, extended and firm) • Paper Submission: 8th December 2023 (AoE, extended and firm) • Notification of Acceptance: 23rd February 2024 • Camera-ready Papers: 5th April 2024 • Author registration: 5th April 2024 ORGANISATION General Chairs • Haris Mouratidis, University of Essex, UK • Pnina Soffer, University of Haifa, Israel Local Organizing and Finance Chair • George A. Papadopoulos, University of Cyprus, Cyprus Program Chairs • Giancarlo Guizzardi, University of Twente, The Netherlands • Flavia Maria Santoro, University of the State of Rio de Janeiro, Brazil Other Committee Members https://cyprusconferences.org/caise2024/committees/

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