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36th International Conference on Advanced Information Systems Engineering: Second Call for Workshop Papers
by Announce 09 Jan '24

09 Jan '24

*** Second Call for Workshop Papers *** 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: 26th February, 2024 AoE ***) CAiSE is a well-established, highly visible conference series on Advanced Information Systems (IS) Engineering. It covers all relevant topics in the area, including methodologies and approaches for IS engineering, innovative platforms, architectures and technologies, and engineering of specific kinds of IS. CAiSE conferences also have the tradition of hosting workshops in related fields. Workshops are intended to focus on particular topics and provide ample room for discussions of new ideas and developments. CAiSE'24, the 36th edition of the CAiSE series, will host the following workshops. For more information for each workshop please visit the workshops' web sites. CAiSE'24 Workshops • 3rd International Workshop on Agile Methods for Information Systems Engineering (Agil-ISE) https://agilise.github.io/2024/index.html • International Workshop on Blockchain for Information Systems (BC4IS24) and Blockchain for Trusted Data Sharing (B4TDS) https://pros.unicam.it/bc4isb4tds/ • 2nd International Workshop on Hybrid Artificial Intelligence and Enterprise Modelling for Intelligent Information Systems (HybridAIMS) https://hybridaims.com/ • 2nd Workshop on Knowledge Graphs for Semantics-driven Systems Engineering https://www.omilab.org/activities/events/caise2024_kg4sdse/ • 16th International Workshop on Enterprise & Organizational Modeling and Simulation (EOMAS 2024) https://eomas2024.fel.cvut.cz/ • Digital Transformation with Business Process Mining (DigPro2024) https://digpro.iiita.ac.in/ IMPORTANT DATES • Paper Submission Deadline: 26th February, 2024 (AoE) • Notification of Acceptance: 27th March, 2024 • Camera-ready Deadline: 5th April, 2024 • Author Registration Deadline: 5th April, 2024 Workshop Chairs • João Paulo A. Almeida, Federal University of Espírito Santo, Brazil • Claudio di Ciccio, Sapienza University of Rome, Italy • Christos Kalloniatis, University of the Aegean, Greece

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18-month post-doctoral (or research engineer) position in argument mining at I3S, Sophia Antipolis
by victor.david＠inria.fr 09 Jan '24

09 Jan '24

(Apologies for potential cross-posting) Dear all, An 18-month post-doctoral (or research engineer) position in argument mining (mainly) is available in the WIMMICS team at the I3S laboratory in Sophia Antipolis, France. A detailed description of the position and the AGGREY project is provided at the end of the e-mail. Required Qualifications ● A PhD: preferably in computer science, but not necessarily. (If post-doctorate, otherwise a Master's degree for a research engineer) ● Research interest in one or more of the following: Argument Mining, Natural Language Processing (NLP), Argumentation Theory, Computational Argumentation, E-democracy, Graph Theory, Game Theory, Similarity Measure, Explainable AI. ● Interest in interdisciplinary research. ● Excellent critical thinking, written and spoken English. Application Materials – send by email to Victor DAVID: victor.david(a)inria.fr ● Current CV ● Short statement of interest Application deadline: February 05, 2024. Questions about the position can also be sent to Victor DAVID: victor.david(a)inria.fr ========================================================================================================================================================== Description of the AGGREY project (An argumentation-based platform for e-democracy) This project brings together 4 French laboratories, including: - CRIL with VESIC Srdjan, KONIECZNY Sébastien, BENFERHAT Salem, VARZINCZAK Ivan, AL ANAISSY Caren, - LIP6 with MAUDET Nicolas, BEYNIER Aurélie, LESOT Marie-Jeanne, - LIPADE with DELOBELLE Jérôme, BONZON Elise, MAILLY Jean-Guy and - I3S with CABRIO Elena, VILLATA Serena and DAVID Victor. Summary of the project in general: E-democracy is a form of government that allows everybody to participate in the development of laws. It has numerous benefits since it strengthens the integration of citizens in the political debate. Several on-line platforms exist; most of them propose to represent a debate in the form of a graph, which allows humans to better grasp the arguments and their relations. However, once the arguments are entered in the system, little or no automatic treatment is done by such platforms. Given the development of online consultations, it is clear that in the near future we can expect thousands of arguments on some hot topics, which will make the manual analysis difficult and time-consuming. The goal of this project is to use artificial intelligence, computational argumentation theory and natural language processing in order to detect the most important arguments, estimate the acceptability degrees of arguments and predict the decision that will be taken. Given the size of the project, the tasks were defined and distributed between 5 work packages. The one corresponding to the postdoc (or research engineer) we are looking for is number 3, and depending on progress and priorities, it will also be possible to participate in number 5. Work package 3: Manipulation detection Leader: Elena Cabrio (I3S) Aim: We will rely on both heuristics and on state-of-the-art argument mining methods in order to detect an anomaly, a fallacious or a duplicate argument [Vorakitphan et al., 2021] (i.e., speech acts that violate the rules of a rational argumentative discussion for assumed persuasive gains), and manipulations (e.g., an organised group of users massively voting for the exact same arguments in a short time period, or submitting variants of the same argument). Background: The use of NLP, and more precisely of argument mining methods [Cabrio and Villata, 2018], will be relevant in supporting the smooth functioning of the debate, automatically detecting its structure (supporting and attacking argumentative components) and analysing its content (premises or claims)[Haddadan et al., 2019b]. Moreover, we will rely on previous studies of the similarity between arguments [Amgoud et al., 2018]. This includes, among other things, assistance in detecting manipulation by identifying duplicate arguments with argument similarity calculation [Reimers et al., 2019], or checking the relationships (attack or support) between arguments provided by users in the argument graph. Challenges/Subtasks: Subtask 3.1. Development of argument mining methods for finding missing elements and duplicates We plan to use argument mining methods to automatically build the argumentative graph and detect the missing elements and duplicates. Identifying argument components and relations in the debates is a necessary step to improve the model’s result in detecting and classifying fallacious and manipulative content in argumentation [Vorakitphan et al., 2021]. The use of the notion of similarity between arguments [Amgoud et al., 2018] will be further investigated in this context. Subtask 3.2. Development of methods for detecting manipulations We will develop and test different heuristics for dealing with manipulations. Those heuristics will be based on natural language processing, argument mining, graph theory, game theory, etc. Some parameters that we might take into account include also the ratio of added arguments and votes; the number of users that vote on similar arguments during the same time period; the votes on arguments attacking / supporting the same argument. Subtask 3.3. Development of graph-based methods for finding missing elements and duplicates We will develop graph-based properties for dealing with missing elements and duplicates. Consider, for instance, two arguments x and y that have the same attackers except that y is also attacked by z; suppose also that x and y attack exactly the same arguments. We might want to check whether z also attacks x. This might not be the case, so the system will not add those attacks automatically, but ask the users that put forward the arguments attacking x and y to consider this question. Bibliography: [Vorakitphan et al., 2021]: Vorakit Vorakitphan, Elena Cabrio, and Serena Villata. "Don’t discuss": Investigating semantic and argu- mentative features for supervised propagandist message detection and classification. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), Held Online, 1-3September, 2021, pages 1498–1507, 2021. URL https://aclanthology.org/2021.ranlp-1.168. [Cabrio and Villata, 2018]: Elena Cabrio and Serena Villata. Five years of argument mining: a data-driven analysis. In IJCAI, pages 5427–5433, 2018. URL https://www.ijcai.org/proceedings/2018/766. [Haddadan et al., 2019b]: Shohreh Haddadan, Elena Cabrio, and Serena Villata. Disputool - A tool for the argumentative analysis of political debates. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019, pages 6524–6526, 2019b. doi: 10.24963/ijcai.2019/944. URL https://doi.org/10.24963/ijcai.2019/944. [Amgoud et al., 2018]: Leila Amgoud, Elise Bonzon, Jérôme Delobelle, Dragan Doder, Sébastien Konieczny, and Nicolas Maudet. Gradual semantics accounting for similarity between arguments. In International Conference on Principles of Knowledge Representation and Reasoning (KR 2018), pages 88–97. AAAI Press, 2018. URL https: //aaai.org/ocs/index.php/KR/KR18/paper/view/18077. [Reimers et al., 2019]: Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab, and Iryna Gurevych. Classification and clustering of arguments with contextualized word embeddings. In ACL, pages 567–578, 2019. URL https://aclanthology.org/P19-1054/. ========================================================================================================================================================== Work package 5: Implementation and evaluation of the platform Leaders: Jean-Guy Mailly (LIPADE) and Srdjan Vesic (CRIL) Aim: The goal of this WP is to implement the platform, evaluate it through experiments with end users, and use the obtained data to improve the design of the framework. Our experiments will also help us to better understand how humans use online platforms, which is essential for the future success of online debates. After implementing the platform, we will measure to which extent our platform leads to more informed decisions and attitudes. We plan to do this by measuring the extent of disagreement between the participants before and after the use of our system. We expect that the instructions to explicitly state one’s arguments and to link them with other justified counter-arguments make people more open to opposite views and more prone to changing their opinion. Background: The field of computational argumentation progressively went from using toy examples and theoretical only evaluation of the proposed approaches to constructing benchmarks [Cabrio and Villata, 2014] and evaluating the proposed approaches by comparing their output to that of human reasoners [Rosenfeld and Kraus, 2016, Polberg and Hunter, 2018, Cerutti et al., 2014, 2021]. Our recent results [Vesic et al., 2022] as well as our current work (unpublished experiments) found that when people see the graph representation of the corresponding debate they comply significantly more often to rationality principles. Furthermore, our experiments show that people are able to draw the correct graph (i.e. the one that corresponds to the given discussion) in the absolute majority of cases (even after no prior training except reading a three minute tutorial). The fact that those participants respect rationality principles more frequently is crucial, since it means that they are e.g., less prone to accept weak or fallacious arguments. Challenges/Subtasks: Subtask 5.1. Implementation of the platform This task aims at implementing the platform. Implementation of the platform will be done by using the agile method. This means that it will be implemented progressively and tested in order to allow for adaptive planning, evolutionary development and constant improvement. We could use an existing platform and add our functionalities. However, we find that building a dedicated platform more adequate for several reasons: many of the platforms are proprietary and would not allow us to use and publish their code, most of the functionalities we need do not exist in any platform, so using an existing platform would not help us gain a lot of time. Subtask 5.2 Measuring the quality of the platform We will conduct experiments with users in order to test if the platform can be used to reduce opinion polarisation and to enhance more rational and informed estimations of arguments’ qualities / strengths. To this end, we will examine if relevant parameters (such as the degree to which individuals agree with a given statement, the extent to which individuals diverge in their opinions, and in understanding the issue they debate about, etc.) are significantly different before and after the use of our debate platform. Our hypothesis is that seeing or producing the graph, making the arguments explicit, and engaging in a structured discussion will yield a better understanding of the questions and a better chance to reach an agreement with other parties. Ethical permission will be asked before conducting the experiments. Subtask 5.3. Improving the platform We will take into account the results of the experiments, user feed-back, bugs reports etc. in order to develop the final version of the platform. Bibliography: [Cabrio and Villata, 2014]: Elena Cabrio and Serena Villata. Node: A benchmark of natural language arguments. In Simon Parsons, Nir Oren, Chris Reed, and Federico Cerutti, editors, Computational Models of Argument - Proceedings of COMMA 2014, Atholl Palace Hotel, Scottish Highlands, UK, September 9-12, 2014, volume 266 of Frontiers in Artificial Intelligence and Applications, pages 449–450. IOS Press, 2014. doi: 10.3233/978-1-61499-436-7-449. URL https://doi.org/10.3233/978-1-61499-436-7-449. [Rosenfeld and Kraus, 2016]: Ariel Rosenfeld and Sarit Kraus. Providing arguments in discussions on the basis of the prediction of human argumentative behavior. ACM Trans. Interact. Intell. Syst., 6(4):30:1–30:33, 2016. doi: 10.1145/2983925. URL https://doi.org/10.1145/2983925. [Polberg and Hunter, 2018]: Sylwia Polberg and Anthony Hunter. Empirical evaluation of abstract argumentation: Supporting the need for bipolar and probabilistic approaches. Int. J. Approx. Reason., 93:487–543, 2018. doi: 10.1016/j.ijar.2017. 11.009. URL https://doi.org/10.1016/j.ijar.2017.11.009. [Cerutti et al., 2014]: Federico Cerutti, Nava Tintarev, and Nir Oren. Formal arguments, preferences, and natural language interfaces to humans: an empirical evaluation. In Torsten Schaub, Gerhard Friedrich, and Barry O’Sullivan, edi- tors, ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, volume 263, pages 207–212. IOS Press, 2014. doi: 10.3233/978-1-61499-419-0-207. URL https://doi.org/10.3233/978-1-61499-419-0-207. [Cerutti et al., 2021]: Federico Cerutti, Marcos Cramer, Mathieu Guillaume, Emmanuel Hadoux, Anthony Hunter, and Sylwia Polberg. Empirical cognitive studies about formal argumentation. In Guillermo R. Simari Dov Gabbay, Massimiliano Giacomin and Matthias Thimm, editors, Handbook of Formal Argumentation, volume 2. College Publications, 2021. [Vesic et al., 2022]: Srdjan Vesic, Bruno Yun, and Predrag Teovanovic. Graphical representation enhances human compliance with principles for graded argumentation semantics. In AAMAS ’22: 21st International Conference on Autonomous Agents and Multiagent Systems, Virtual Event, 2022. URL https://hal-univ-artois. archives-ouvertes.fr/hal-03615534.

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[2nd call] PhD position on Explainable NLU at the University of Copenhagen
by Isabelle Augenstein 09 Jan '24

09 Jan '24

The Natural Language Processing Section at the Department of Computer Science, Faculty of Science at University of Copenhagen is offering a PhD position in Explainable Natural Language Understanding with a start date of 1 September 2024. The application deadline is 1 February 2024. Applications for the position can be submitted via UCPH's job portal<https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentI…>. The Natural Language Processing Section<https://di.ku.dk/english/research/nlp/> provides a strong, international and diverse environment for research within core as well as emerging topics in natural language processing, natural language understanding, computational linguistics and multi-modal language processing. It is housed within the main Science Campus, which is centrally located in Copenhagen. The successful candidate will join Isabelle Augenstein’s Natural Language Understanding research group<http://www.copenlu.com/>. The Natural Language Processing research environment at the University of Copenhagen is internationally leading, as e.g. evidenced by it being ranked 2nd in Europe according to CSRankings. The position is offered in the context of an ERC Starting Grant held by Isabelle Augenstein on ‘Explainable and Robust Automatic Fact Checking (ExplainYourself)’. ERC Starting Grant is a highly competitive funding program by the European Research Council to support the most talented early-career scientists in Europe with funding for a period of 5 years for blue-skies research to build up or expand their research groups. The project team will consist of the principle investigator, three PhD students and two postdocs, collaborators from CopeNLU as well as external collaborators. The role of the PhD student to be recruited in this call will be to research methods for generating faithful free-text explanations of NLU models in collaboration with the larger project team. More information about the project can also be found here<http://www.copenlu.com/talk/2022_11_erc/>. Informal enquiries about the positions can be made to Professor Isabelle Augenstein, Department of Computer Science, University of Copenhagen, e-mail: augenstein(a)di.ku.dk<mailto:augenstein@di.ku.dk?subject=PhD%20position%20on%20Explainable%20Natural%20Language%20Understanding>. Isabelle Augenstein, Dr. Scient., Ph.D. Professor and Head of the NLP Section, Department of Computer Science (DIKU) Co-Lead, Pioneer Centre for Artificial Intelligence University of Copenhagen Østervold Observatory Øster Voldgade 3 1350 Copenhagen augenstein(a)di.ku.dk<mailto:augenstein@di.ku.dk> http://isabelleaugenstein.github.io/

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[2nd call] PhD position on Explainable NLU at the University of Copenhagen
by Isabelle Augenstein 09 Jan '24

09 Jan '24

The Natural Language Processing Section at the Department of Computer Science, Faculty of Science at University of Copenhagen is offering a PhD position in Explainable Natural Language Understanding with a start date of 1 September 2024. The application deadline is 1 February 2024. Applications for the position can be submitted via UCPH's job portal<https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentI…>. The Natural Language Processing Section<https://di.ku.dk/english/research/nlp/> provides a strong, international and diverse environment for research within core as well as emerging topics in natural language processing, natural language understanding, computational linguistics and multi-modal language processing. It is housed within the main Science Campus, which is centrally located in Copenhagen. The successful candidate will join Isabelle Augenstein’s Natural Language Understanding research group<http://www.copenlu.com/>. The Natural Language Processing research environment at the University of Copenhagen is internationally leading, as e.g. evidenced by it being ranked 2nd in Europe according to CSRankings. The position is offered in the context of an ERC Starting Grant held by Isabelle Augenstein on ‘Explainable and Robust Automatic Fact Checking (ExplainYourself)’. ERC Starting Grant is a highly competitive funding program by the European Research Council to support the most talented early-career scientists in Europe with funding for a period of 5 years for blue-skies research to build up or expand their research groups. The project team will consist of the principle investigator, three PhD students and two postdocs, collaborators from CopeNLU as well as external collaborators. The role of the PhD student to be recruited in this call will be to research methods for generating faithful free-text explanations of NLU models in collaboration with the larger project team. More information about the project can also be found here<http://www.copenlu.com/talk/2023_11_erc/>. Informal enquiries about the positions can be made to Professor Isabelle Augenstein, Department of Computer Science, University of Copenhagen, e-mail: augenstein(a)di.ku.dk<mailto:augenstein@di.ku.dk?subject=PhD%20position%20on%20Explainable%20Natural%20Language%20Understanding>. Isabelle Augenstein, Dr. Scient., Ph.D. Professor and Head of the NLP Section, Department of Computer Science (DIKU) Co-Lead, Pioneer Centre for Artificial Intelligence University of Copenhagen Østervold Observatory Øster Voldgade 3 1350 Copenhagen augenstein(a)di.ku.dk<mailto:augenstein@di.ku.dk> http://isabelleaugenstein.github.io/

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Postdoc position in Cambridge (deadline 25/1)
by A. Vlachos 09 Jan '24

09 Jan '24

Dear all, We are looking for a Research Assistant/Associate to work on the project FEVER-IT: Fact Extraction and VERification with Images and Text funded by the Alan Turing Institute and DSO labs, Singapore. The successful candidate will be based in the Natural Language and Information Processing group (http://www.cl.cam.ac.uk/research/nl/) at the Department of Computer Science and Technology. The project will focus on constructing a dataset and developing approaches enabling the verification of claims which require both text and images as evidence. Particular focus will be paid to accompanying the verdicts with suitable justifications. Candidates will have completed a Ph.D. (or be close to completing it) in a relevant field such as NLP, Information Retrieval, Artificial Intelligence or Machine Learning and be able to demonstrate a strong track record of independent research and high-quality publications. Essential skills include excellent programming (Python), NLP techniques (multimodal NLP in particular), Machine Learning, and proven communication skills. Candidates must provide the names and contact details of two referees who are familiar with their work in the relevant field whom we can contact for a reference before the interviews, which are expected to take place in January 2024. We are looking to start the project in February 2024, or as soon as possible after that. Enquiries concerning this position should be directed to Prof. Andreas Vlachos (av308(a)cam.ac.uk), and applicants are encouraged to contact him regarding the position. Apply using this link: https://www.jobs.cam.ac.uk/job/44672/ Thanks, Andreas

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Call for Participation: Learner Corpus Symposium (Feb 3, Kobe, Japan)
by Shin ISHIKAWA 09 Jan '24

09 Jan '24

Dear Colleagues We are happy to announce that Learner Corpus Studies in Asia and the World (LCSAW) 6th will be held in Kobe, Japan, on February 3, 2024. We have 24 presentations. Participation at the event is free of charge, but prior registration is needed. Program https://language.sakura.ne.jp/icnale/lcsaw/lcsaw6_program.pdf Venue Centennial Hall of Kobe University https://x.gd/N1ji1 Transportation https://language.sakura.ne.jp/icnale/lcsaw/2019/lcsaw_travel_guide/pdf Registration https://forms.office.com/r/nU132uW5tc NB: FCFS policy will be applied. Shin LCSAW Organizing Committee ICNALE Development Team Dr. Shin ISHIKAWA (he/his) Kobe University iskwshin(a)gmail.com

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ArabicNLP 2024 - Second Call for Shared Task Proposals
by Salam Khalifa 09 Jan '24

09 Jan '24

*** Apologies for Cross-Posting *** The Second Arabic Natural Language Processing Conference (ArabicNLP 2024) Co-located with ACL 2024 in Bangkok, Thailand, August 16, 2024. (Hybrid Mode). We invite proposals for shared tasks related to Arabic NLP to be part of the ArabicNLP 2024 conference. <https://arabicnlp2024.sigarab.org/> The proposals should provide an overview of the proposed task, motivation, data/resource collection and creation, task description, pilot run details (if available), a tentative timeline that matches the submission dates below, and task organizers (name, email, affiliation). Proposals in PDF format can be up to 4 pages. Shared Task Proposal Submission URL: https://shorturl.at/eCJOS Selection Process The proposals will be reviewed by the organizing committee and selected based on multiple factors such as the novelty of the task, the expected interest from the community, how convincing the data collection plans are, the soundness of the evaluation method, and the expected impact of the task. Task Organization Upon acceptance, the task organizers are expected to verify that the task organization and data delivery to participants are happening in a timely manner, provide the participants with all needed resources related to the task, create a mailing list, and maintain communication and support to participants, create and manage CodaLab or similar competition website, manage submissions to CodaLab, write a task description paper, manage participants submissions of system description papers, and review and maintain the quality of submitted system description papers. Important Dates for Shared Task Proposals - January 23, 2024: Submission of shared tasks proposals due date - February 6, 2024: Notification of acceptance of shared tasks - Proposals should target the following dates when planning their calls - April 29, 2024: Shared task papers due date - June 4, 2024: Notification of acceptance - June 24, 2024: Camera-ready papers due - August 16, 2024: ArabicNLP conference All deadlines are 11:59 pm UTC -12h <https://www.timeanddate.com/time/zone/timezone/utc-12> (“Anywhere on Earth”). For any questions, please contact the Shared Task Chair: arabicnlp-shared-task-chair(a)sigarab.org The ArabicNLP 2024 Organizing Committee -- Salam Khalifa

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PhD vacancy in Formal Methods for Natural Language Processing at Leiden University, The Netherlands
by Wijnholds, G.J. (Gijs) 09 Jan '24

09 Jan '24

** Apologies for cross-posting ** Applications are invited for a fully funded PhD candidature in at Leiden Institute of Advanced Computer Science (LIACS), The Netherlands, on the use of Formal Methods to enhance the efficiency, transparency and the understanding of Transformer-based language models. While large language models (LLMs) have proven successful in many areas of Natural Language Processing, they suffer from high data and resource usage, and display limited generalization capacity in tasks that humans excel at. In this PhD project you will have the opportunity to investigate how formal methods can help in developing more efficient and more transparent models for Natural Language Understanding. Specifically, you will investigate the use of implicit or explicit structural bias in Transformer-based language models to reduce training data and model parameters; additionally, you will look at novel techniques for evaluating models for their generalization capabilities on Natural Language Understanding tasks such as Natural Language Inference, possibly in a multilingual and multimodal setting. The specific project content is to be decided between the applicants’ interest and the expertise of the supervisor, dr. Gijs Wijnholds. Topics include (but are not limited to): - Using logical methods to define task-relevant constraints on LLM finetuning; - Incorporating structured representations in regularized training of smaller language models; - Assessing the generalization capacity of Transformer-based models in the context of formal language theory, model probing, Natural Language Inference; - Evaluation of Natural Language Understanding models in the presence of ambiguity and/or annotator disagreement; - Understanding multilingual Natural Language Inference in Vision-Language Models; For the official vacancy text, please see https://www.universiteitleiden.nl/en/vacancies/2023/qw4/23-81914335phd-cand… The application deadline is January 13, 2024. The ideal starting date is in March 2024, but can be negotiated depending on circumstances. For further information feel free to reach out to dr. Gijs Wijnholds (g.j.wijnholds(a)liacs.leidenuniv.nl<mailto:g.j.wijnholds@liacs.leidenuniv.nl>). dr. Gijs Wijnholds Assistant Professor in Natural Language Processing Text Mining and Retrieval Group<https://tmr.liacs.nl/> Leiden Institute of Advanced Computer Science https://gijswijnholds.github.io

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Call for Tutorial Proposals at ICWSM 2024 (International AAAI Conference on Web and Social Media)
by Indira Sen 08 Jan '24

08 Jan '24

Hi everyone! Sharing the call for ICWSM-2024’s Tutorials Track! This is a great venue for tutorials at the intersection of NLP, Computational Social Science, Social Media Analysis, and Social Computing topics. *Tutorial Submission Deadline*: January 26, 2024 *Tutorial Acceptance Notification*: February 9, 2024 *ICWSM-2024 Tutorial Day*: June 3, 2024 *Submit to*: tutorials(a)icwsm.org ICWSM-2024 invites proposals for Tutorials Day at the 18th International AAAI Conference on Web and Social Media (ICWSM). ICWSM-2024 is seeking proposals for tutorials on topics related to the computational analysis and understanding of social phenomena in the following formats: - *Lecture-style*: Traditional tutorials to teach concepts, methodologies, tools, and software packages. Tutorials on novel and fast growing directions and significant applications are highly encouraged. The conference is paying particular attention to themes around new perspectives in social theories, as well as computational algorithms for analyzing new forms of social media. Lecture-style tutorials on these themes are highly encouraged. - *Hands-on*: Interactive, in-depth, hands-on training on cutting edge systems and tools (with a proven track record in the community), targeted at novice as well as moderately skilled users, with a focus on providing an engaging experience. The pace of the tutorial should be set such that beginners can follow along comfortably. - *Translation*: Tutorials that aim to translate concepts between disciplines. For example, such a tutorial could introduce social science concepts to computer scientists, or computational concepts to social scientists. Thus, these tutorials should be geared towards a beginner audience. - *Case study*: Focused tutorials that emphasize real world applications of ICWSM work. These tutorials should walk the audience through how research insights and tools were applied in practice. We welcome submissions from practitioners in industry, government, local communities, and non-governmental organizations (NGOs) in addition to academics. - *Free-style*: We also welcome proposals for creative and unconventional training sessions, such as hackathons, competitions/challenges, etc., as long as participants can learn practical skills and participate in an active way. We welcome tutorials of various lengths (1, 2, 4, or up to 8 hours). We are looking for contributions from experts in both the social and computational sciences, in industry, academia, and beyond. For a list of tutorials from previous years, we encourage you to visit the tutorials page for 2018 <https://www.icwsm.org/2018/program/tutorial/>, 2019 <http://www.icwsm.org/2019/program/tutorial/>, 2020 <https://www.icwsm.org/2020/index.html#tutorials_schedule>, 2021 <https://www.icwsm.org/2021/#tutorials_schedule>, 2022 <https://www.icwsm.org/2022/index.html/#tutorials-schedule>, and 2023 <https://icwsm.org/2023/index.html/#tutorials-schedule>. We especially encourage applications from first-time proposers and scholars with research communities beyond ICWSM. We also welcome tutorials on obtaining data from understudied platforms, the use of large language models (LLMs) for and their impact on computational social science and social computing, mixed methods approaches, and other topics of cutting-edge and enduring interest. *Tutorial Proposal Content and Format* Proposals for tutorials should be no more than three (3) pages in length. Proposal submissions should include the following information: - *Title*. A concise title. - *Abstract*. A short description (200 words) of the main objective of the tutorial, to be published on the main ICWSM website. - *Type*. The type of tutorial you are proposing: lecture-style, hands-on, translation, case study, or free-style. - *Names, affiliations, emails, and personal websites of the tutorial organizers*. A main contact author should be specified. A typical proposal should include no more than three presenters (more people can be involved in the organization). - *Duration*. A short timeline description of how you plan to break down the material over the proposed duration (1, 2, 4, or 8 hours). Please mention here the proposed duration, but keep in mind that the Tutorial Chairs might conditionally accept a proposal and suggest a different duration to best fit the organization of the whole event. - *Tutorial schedule and activities*. A description of the proposed tutorial format, a schedule of the proposed activities (e.g., presentations, interactive sessions) along with a *detailed* description for each of them. - *Target audience, prerequisites and outcomes*. A description of the target audience, the prerequisite skill set for the attendee (if any) as well as a brief list of goals for the tutors to accomplish by the end of the tutorial. - *Materials*. The organizers of accepted tutorials will be required to set up a web page containing all the information for the tutorial attendees before the tutorial day (roughly 2 weeks before the tutorial day). The proposal should contain the list of materials that will be made available on the website. - *Past precedent (when available)*. A list of other tutorials held previously at related conferences, if any, together with a brief statement on how the proposed tutorial relates to previous events. If the authors of the proposal have organized other tutorials in the past, pointers to the relevant material (e.g., slides, videos, web pages, code) should be provided. - *Additional info for hands-on tutorials*: 1. Operating system and required installed tools on attendees’ devices. 2. List of software licenses required for the tools. 3. Setup instructions for attendees. (The setup should not take more than 1 hour to complete.) If you have questions on any of the submission requirements or for pre-submission feedback/questions, please reach out to the tutorial chairs (Joshua Uyheng, Indira Sen, and Carlos Toxtli) at the address tutorials(a)icwsm.org. *Joshua Uyheng, Indira Sen, and Carlos Toxtli* (ICWSM-2024 Tutorial Chairs | tutorials(a)icwsm.org)

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36th International Conference on Advanced Information Systems Engineering (CAiSE 2024): Second Call for Tutorial Proposals
by Announce 08 Jan '24

08 Jan '24

*** Second Call for Tutorial Proposals *** 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: 28th February, 2024 AoE ***) CAiSE'24 invites proposals for tutorials on advanced topics in the field of Information Systems Engineering. Tutorials should aim at offering new insights, knowledge, and skills to professionals, educators, researchers, and students seeking to gain a better understanding either about methods of broad interest in the field, or emergent paradigms that are ripe for practical adoption or that require further research to reach maturity. Proposals emphasizing the special theme of the CAISE'24 conference “Information Systems in the Age of Artificial Intelligence” are encouraged, but proposals on other new or long-standing topics in information systems engineering are also welcome. Tutorials should be focused on principles, concepts, and methods. Commercial or sales-oriented presentations are not allowed and will not be accepted. Tutorials are intended to provide a pedagogic introduction to or overview of a topic of relevance. Potential presenters should keep in mind that there may be a heterogeneous audience, including novice graduate students, experienced practitioners, and specialized researchers. Tutorial speakers should be prepared to cope with this diversity in the audience. Tutorials will be 90 minutes long and organized in parallel with the technical sessions of the main conference and participants of the conference will have free access to all of them. Potential proposers are free to contact the tutorial chairs via e-mail to validate their idea prior to the submission. SELECTION CRITERIA The tutorial chairs will review each proposal and select a subset of them based on the following criteria: 1. relevance to the field of IS engineering; 2. anticipated appeal to the conference audience; 3. timeliness and importance for the conference audience; 4. past experience and qualifications of the instructor(s). The tutorial chairs will also consider the complementarity of the proposal w.r.t. the conference program and other tutorial proposals. SUBMISSION GUIDELINES Tutorial proposals should be submitted to Easy Chair using the conference submission site (https://easychair.org/conferences/?conf=caise2024) and then selecting the “CAiSE 2024 Tutorials” track. The proposal (length up to 1500 words) should cover the following points: • Title • Presenters and affiliation • Goal: The overall goal of the tutorial. • Scope: Intended audience, level (basic or advanced), and prerequisites. • Topic relevance and novelty: Specifically indicate the relevance to the scope of CAiSE, the relevance to practice, the novel aspects that would make this tutorial beneficiary and appealing to CAiSE participants. • Structure of contents: Here you should provide a structured overview of your planned tutorial, organized into numbered sections and subsections. For each subsection, you should sketch its contents in a few sentences or bullet points. • References: Provide references to papers, books, etc. that your tutorial builds on. Please specify previous venues at which similar tutorials have been presented by you and indicate the difference between the proposed tutorial and previous ones. CAiSE usually does not accept tutorials that have been presented in other venues. • Sample Slides: Include at least 5 sample slides of the presentation you plan to give if your tutorial is accepted. Select slides that are typical of your presentation style. These slides have to be submitted in a separate PDF file. Services provided to tutorialists • A 2-page tutorial abstract will be published in the CAiSE LNCS proceedings • Tutorials will benefit from the local organizational infrastructure (registration, badges, refreshments, beamers, screens, etc.). • Advertisement of the tutorial on CAISE 2024 homepage and mailings. • The conference fee will be waived for tutorial presenters (one fee per tutorial). IMPORTANT DATES • Submission of Tutorial Proposals: 28th February, 2024 (AoE) • Notification of Acceptance: 15th March, 2024 • Camera-ready Abstracts: 5th April, 2024 • Tutorial Presenters Registration Deadline: 8th April, 2024 TUTORIAL CHAIRS • Adela del Rio Ortega, University of Seville, Spain (adeladelrio(a)us.es) • Tiago Prince Sales, University of Twente, The Netherlands (t.princesales(a)utwente.nl) Other Committee Members https://cyprusconferences.org/caise2024/committees/

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