[FM-India]DataMod 2025 - deadline approaching

DataMod 2025 - 13th International Symposium "From Data to Models and Back" Toledo, Spain, 10-11 November 2025 Website: https://datamod-symposium.github.io/DataMod-2025/ DataMod 2025 is a satellite event of the 23rd International Conference of Software Engineering and Formal Methods (SEFM 2025): https://sefm-conference.github.io/2025/ -------------------------------------------------------------------------------- Abstract submission deadline (optional): 22 August 2025 Paper submission deadline: 29 August 2025 -------------------------------------------------------------------------------- CONTEXT & OBJECTIVES DataMod 2025 aims at bringing together practitioners and researchers from academia, industry and research institutions interested in the combined computational modelling methods with data-driven techniques from the areas of knowledge management, data mining and machine learning. Modelling methodologies of interest include automata, agents, Petri nets, process algebras and rewriting systems. Application domains include social systems, ecology, biology, medicine, smart cities, governance, security, education, software engineering, and any other field that deals with complex systems and large amounts of data. Papers can present research results in any of the themes of interest for the symposium, as well as application experiences, tools and promising preliminary ideas. Papers dealing with synergistic approaches that integrate modelling and knowledge management/discovery, or that exploit knowledge management/discovery to develop/synthesise system models are especially welcome. Authors are invited to submit original research or tool papers on any relevant topic. These can either be normal or short papers. Short papers can discuss new ideas which are at an early stage of development and which have not yet been thoroughly evaluated. TOPICS Modelling and analysis methodologies include: - Agent-based Methodologies - Automata-based Notations - Big Data Analytics - Cellular Automata - Classification - Clustering, Segmentation and Profiling - Conformance Analysis - Constraint Programming - Data Mining - Differential Equations - Game Theory - Machine Learning - Membrane Systems - Network Theory and Analysis - Ontologies - Optimisation Modelling - Petri Nets - Process Calculi - Process Mining - Rewriting Systems - Spatio-temporal Data Analysis/Mining - Statistical Model Checking - Text Mining - Topological Data Analysis Application domains include: - Biology - Brain Data and Simulation - Business Process Management - Climate Change - Cybersecurity - Ecology - Education - Environmental Risk Assessment and Management - Enterprise Architectures - Epidemiology - Genetics and Genomics - Governance - HCI and Human Behaviour - Open Source Software Development and Communities - Pharmacology - Resilience Engineering - Safety and Security Risk Assessment - Social Good - Social Software Engineering - Social Systems - Sustainable Development - Threat Modelling and Analysis - Urban Ecology - Smart Cities and Smart Lands Synergistic approaches include: (1) Use of modelling methods and notations in a knowledge management/discovery context (2) Development and use of common modelling and knowledge management/discovery frameworks to explore and understand complex systems from the application domains of interest SUBMISSION AND PUBLICATION All contributions in the form of either - regular (research, tool or position) paper, up to 16 pages (excluding references) - short (research, tool or position) paper, up to 8 pages (excluding references) will be reviewed by three members of the Program Committee. Authors are invited to submit their contributions via Easychair https://easychair.org/conferences/?conf=datamod2025 In addition, presentation reports will be considered having the following form: - presentation report, up to 4 pages Presentation reports concern recent or ongoing work on relevant topics and ideas, for timely discussion and feedback at the workshop. There is no restriction as to previous/future publication of the contents of a presentation. Typically, a presentation is based on a paper which recently appeared (or which is going to appear) in the proceedings of another recognised conference, or which has not yet been submitted. Presentation reports will receive a lightweight review to establish their relevance for DataMod. Authors are invited to submit their presentation report via Easychair https://easychair.org/conferences/?conf=datamod2025 All papers should be written in English and formatted according to the LNCS style. Paper formatting guidelines according to LNCS style are available here: http://www.springer.com/lncs Detailed information on the submission procedure and format are available on the symposium web page: https://datamod2025.github.io/ Accepted papers (both regular and short) will be included in a dedicated LNCS post-proceedings volume published by Springer after the Symposium. Condition for inclusion in the proceedings is that at least one of the co-authors attends and presents the paper at the Symposium. IMPORTANT DATES Abstract Submission deadline (optional): 22 August 2025 Paper Submission deadline: 29 August 2025 Notification: 30 September 2025 Revised Version: 7 October 2025 Symposium: 10-11 November 2025 KEYNOTE SPEAKERS * TBA PROGRAM CO-CHAIRS * Livia Lestingi, Politecnico di Milano, Italy * Gwen Salaün, Université Grenoble Alpes, France PROGRAM COMMITTEE * Oana Andrei, University of Glasgow * Kyungmin Bae, Pohang University of Science and Technology (POSTECH) * Juliana Bowles, School of Computer Science, University of St Andrews * Giovanna Broccia, ISTI-CNR, FMT Lab * Antonio Cerone, Nazarbayev University * Robert Clarisó, Universitat Oberta de Catalunya * Carla Ferreira, Universidade NOVA de Lisboa * Marc Frappier, Université de Sherbrooke * Elisa Gonzalez Boix, Vrije Universiteit Brussel * Riccardo Guidotti, University of Pisa * Alexander Kocian, University of Pisa * Ricardo M. Czekster, Aston University * José Machado, University of Minho, DI, ALGORITMI/LASI * Paolo Milazzo, Dipartimento di Informatica - Università di Pisa * Pedro Ribeiro, University of York * Arpit Sharma, Indian Institute of Science Education and Research * Volker Stolz, Høgskulen på Vestlandet * Martin Tappler, TU Wien * Thais Webber, Aston University * Lina Ye, CentraleSupélec, LMF, University Paris-Saclay, France CONTACT