Organizing Committee<\/a><\/p>\n<\/div>\n\n\n\n Track Committees<\/a><\/p>\n<\/div>\n\n\n\n International Steering Committee<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n Tomas Gustavsson<\/p>\n\n\n\n Karlstad University, Sweden<\/p>\n<\/div>\n\n\n\n John S\u00f6ren Pettersson<\/p>\n\n\n\n Karlstad University, Sweden<\/p>\n<\/div>\n\n\n\n Malin Wik<\/p>\n\n\n\n Karlstad University, Sweden<\/p>\n<\/div>\n\n\n\n Farzaneh Karegar<\/p>\n\n\n\n Karlstad University, Sweden<\/p>\n<\/div>\n\n\n\n Muhammad Ovais Ahmad<\/p>\n\n\n\n Karlstad University, Sweden<\/p>\n<\/div>\n\n\n\n Peter Bellstr\u00f6m<\/p>\n\n\n\n Karlstad University, Sweden<\/p>\n\n\n\n <\/a><\/a><\/p>\n<\/div>\n\n\n\n Ala Sarah Alaqra<\/p>\n\n\n\n Karlstad University, Sweden<\/p>\n\n\n\n <\/a><\/a><\/p>\n<\/div>\n\n\n\n John Johansson<\/p>\n\n\n\n Karlstad University, Sweden<\/p>\n\n\n\n <\/a><\/a><\/p>\n<\/div>\n\n\n\n Henrik Hasselberg<\/p>\n\n\n\n Karlstad University, Sweden<\/p>\n\n\n\n <\/a><\/a><\/p>\n<\/div>\n\n\n\n Jasper van Kuijk<\/p>\n\n\n\n Karlstad University, Sweden<\/p>\n\n\n\n <\/a><\/a><\/p>\n<\/div>\n\n\n\n Anna \u00c5kesson<\/p>\n\n\n\n Karlstad University, Sweden<\/p>\n\n\n\n <\/a><\/a><\/p>\n<\/div>\n\n\n\n Alexander Vestin<\/p>\n\n\n\n Karlstad University, Sweden<\/p>\n<\/div>\n\n\n\n More recently, ISD has been facing two major challenges: dealing with the increasing incorporation of artificial intelligence (AI) within software solutions and with the increasing cyberattacks that call for more robust security from the design phase. Both will have considerable implications for future DevOps pipelines. We expect to foster the discussion about the evolution and maintenance of ISD to address emerging trends.<\/p>\n\n\n\n Information Systems Development (ISD) is concerned with the creation of Information Systems (IS), comprising processes, software, artifacts, people, and technologies. More than just dealing with typical technical software development activities, ISD is eminently socio-technical.<\/p>\n\n\n\n Track topics include <\/strong>(but are not strictly limited to):<\/p>\n\n\n\n It appears that \u201cdigital\u201d is all around us, both in our personal and work lives. The growing popularity of approaches like model-driven development and low-code development, which involve code generation and model interpretation or generation by AI, has made modeling more relevant than ever in information systems development.<\/p>\n\n\n\n Professionals have sometimes been reluctant to create models as part of their work but that attitude is slowly changing. In agile information systems development, the traditional reluctance to use software models has been replaced by a more practical approach, recognizing the value that models derived from user stories and other requirements artifacts can provide in ensuring the timely delivery of high-quality systems. Data scientists are also increasingly using domain models to make sense of the data in their pipelines, which are used to build, train, evaluate, and deploy machine learning models. Overall, there is a renewed appreciation for the role of information system models, including business models, conceptual or domain models, requirements models, and software models, leading to the question of how these modeling approaches can be improved or innovated to better support new approaches to information systems development.<\/p>\n\n\n\n Track topics include <\/strong>(but are not strictly limited to):<\/p>\n\n\n\n <\/p>\n\n\n\n <\/p>\n\n\n\n\n\n\n\n <\/p>\n\n\n\n\n\n The objective of LASD is to enhance the state-of-the-art in lean and agile software development and disseminate best practices, accompanied by stories of both successful and challenging transitions and adaptations to the evolving work environment and advancements in technology.<\/p>\n\n\n\n Since its inception in 2017 as part of the FedCSIS Conference Series, LASD <\/a>has grown into a prominent research forum for the Agile community. During the pandemic, LASD operated as a standalone online conference, and in 2023, it became an official track within ACM SAC. In 2024, LASD expanded its international reach by being held twice \u2014 at SAC and later at ISD \u2014 further establishing itself as a bridge between the Software Engineering and Information Systems communities.<\/p>\n\n\n\n Agile and lean software development are industry standards, but transitioning to an Agile mindset remains challenging. Projects often require tailoring Agile methods to fit specific contexts, but this process is complex due to the interdependent nature of practices in frameworks like Scrum. The pandemic-driven shift to remote and hybrid work has added new challenges, forcing co-located teams to adapt to their communication and collaboration methods. Organizations must now innovate beyond traditional Agile practices, which lack explicit remote work guidelines, to maintain team effectiveness in virtual environments. Furthermore, the ongoing return-to-office debates and the stabilization of hybrid work models have created new research opportunities around optimizing Agile ceremonies and collaboration patterns for permanently distributed workforce configurations.<\/p>\n\n\n\n Scaling Agile to large, distributed, and multi-team projects continue to be a pressing topic. While frameworks like SAFe, LeSS, and Nexus have emerged to address the challenges of scaling, their adoption is often fraught with difficulties. Organizations frequently report issues such as framework misalignment with company culture, disruptions to management structures, and the inability to fully implement all elements of predefined frameworks. These challenges underscore the need for both practical guidance and theoretical research to support large-scale Agile transformations.<\/p>\n\n\n\n The emergence of AI-powered autonomous coding agents and multi-agent systems presents new paradigms for human-AI collaboration within Agile teams, raising questions about pair programming with AI, the evolving role of developers as orchestrators, reviewers, and accountable decision-makers, and the governance mechanisms needed to integrate agentic work into Agile planning, quality assurance, and continuous delivery. As organizations move from experimentation with AI assistants toward more systematic adoption, further research is needed on how Agile teams can balance speed, autonomy, transparency, trust, and human responsibility in increasingly AI-mediated software development practices.<\/p>\n\n\n\n Track topics include<\/strong> (but are not strictly limited to):<\/p>\n\n\n\n One of the key issues related to Information Systems Development (ISD) is the effective transformation of large amounts of data into useful knowledge, consistent with the declared objectives and the expected, measurable outcomes. The central role in addressing this issue is played by modern information systems, providing a variety of intelligent services for that purpose.<\/p>\n\n\n\n Considering a perspective of ISD, the main concern of this track is to focus on the use of data science (DS), machine learning (ML), artificial intelligence (AI), data mining (DM), data analysis (DA) and related paradigms as an integral part of the ISD life cycle. These paradigms are to be treated as a coherent set of theories, methodologies, processes, architectures and technologies that guide the analysis, design, implementation and evolution of modern information systems. Their systematic integration within ISD enables the transformation of raw data into meaningful and useful information and knowledge embedded in system functionality, thereby improving information management, decision support and value creation in business and research organizations.<\/p>\n\n\n\n The main goal of this track is to address open questions and real potential for various applications of modern DS & ML approaches in ISD, particularly to design, develop, and deploy effective software services that support information management across different organizational information systems. Within contemporary ISD practice, many information systems are explicitly developed to deliver DS & ML\u2013based services that enable data description, analysis, clustering, classification, evaluation, prediction, and visualization. These services encompass DS & ML approaches applied to both structured and unstructured data, including text, images, time-series, and multimedia data, as well as computer vision and natural language processing methods.<\/p>\n\n\n\n The development of information systems increasingly relies on advances in AI. DS & ML approaches can be widely applied in software engineering and ISD, supporting the analysis and evaluation of complex software, development processes, and system configurations, predictions related to software quality and project management. As a result, solutions employing DS & ML methods are becoming an integral part of modern ISD practices, contributing to more reliable, efficient, and cost-effective software development processes.<\/p>\n\n\n\n Track topics include<\/strong> (but are not strictly limited to):<\/p>\n\n\n\n <\/p>\n\n\n\n The track places a particular emphasis on issues related to Digital Transformation and Information Systems Methodologies. The primary objective is to foster scholarly discussion on a diverse set of theoretical, methodological, and practical challenges associated with digital transformation, with special attention given to developments emerging in the era of artificial intelligence. Contributions that address methodological perspectives in information systems research, including novel approaches, frameworks, and empirical methods as well as legal and ethical aspects are especially encouraged and welcomed this year.<\/p>\n\n\n\n The thematic focus of the track encompasses the application of digital transformation across multiple domains, including public administration, crisis preparedness and management, private and non-profit organizations, and enterprises undergoing significant technological and organizational change. Particular interest lies in examining how digital technologies, data-driven approaches, and AI-enabled solutions are shaping organizational processes, governance structures, and innovation practices.<\/p>\n\n\n\n Track topics include <\/strong>(but are not strictly limited to):<\/p>\n\n\n\n This track focuses on a broad area of information systems (IS) development for education and training. The goal is to create a forum of discussion and dissemination of novel, relevant, and rigorous research, as well as professional and practical experiences that address the challenges and opportunities in the education of IS specialists. As in previous years, we strongly encourage contributions to advance the foundations of IS teaching and learning methodologies.<\/p>\n\n\n\n The track invites submissions on (1) theoretical foundations and best practices related to the design, implementation, evaluation, adoption, and use of IS in formal and informal educational contexts in IS development; (2) theoretical and empirical contributions to understanding and shaping methodological and educational aspects of IS development; and (3) methodological contributions to IS development and education.<\/p>\n\n\n\n Track topics include<\/strong> (but are not strictly limited to):<\/p>\n\n\n\n Worldwide the digital games industry is huge. In Sweden the countery of the organizers of ISD2027 there are more than 1000 companies dealing with games with a turnover of over 35 billion SEK (approximately 3.2 billion EURO [20290929]). Several efforts, such as the Game Development Research Center (https:\/\/www.his.se\/en\/about-us\/collaboration\/game-development-research-centre\/<\/a>) a research project financed by The Knowledge Foundation (https:\/\/www.kks.se\/en\/article\/sweden-establishes-research-hub-for-game-development\/<\/a>) highlights the need for research on game development including dissemination of results.<\/p>\n\n\n\n The track invites submissions on game design, development and management in relation to artificial intelligence, graphics, tools and business development including business management.<\/p>\n\n\n\n Track topics include<\/strong> (but are not strictly limited to):<\/p>\n\n\n\n The information systems scientific area continues to change at an almost instantaneous pace, making it challenging to keep up with the latest trends. Nevertheless, understanding these latest technological trends is significant for businesses and individuals who want to stay in the vanguard. The dynamic scientific area of Information Systems (IS) is full of new technologies, tools, software frameworks, and innovative ideas. Being so, it is important for researchers as well as for professionals to be informed of these recent emerging trends and all that they entail.<\/p>\n\n\n\n Today, the IS discipline faces new challenges. Emerging technologies as well as matured approaches to the social, technical, and developmental role of IS in new areas provide a new context for the evolution of the discipline over the next few years. We look forward to receiving research papers from multidisciplinary areas that intersect with IS<\/strong>, specifically, but not restricted to, main trends in the context of Information Systems development and application field:<\/strong><\/p>\n\n\n\n Netta Iivari<\/p>\n\n\n\n University of Oulu, Finland<\/p>\n<\/div>\n\n\n\nOrganizing Committee<\/h2>\n\n\n\n
General Chair<\/h3>\n\n\n\n
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<\/figure>\n<\/figure>\n\n\n\nISD 2027 Track Committees<\/h2>\n\n\n\n
T1: Managing IS Development and Operations<\/h2>\n\n\n\n
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T2: Information Systems Modeling and Business Models<\/h2>\n\n\n\n
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T3: Lean and Agile Software Development<\/h2>\n\n\n\n
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T4: AI and Data Science for ISD<\/h2>\n\n\n\n
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T5: IS for Digital Transformation<\/h2>\n\n\n\n
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T6: Learning, Education, and Training for ISD<\/h2>\n\n\n\n
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T7: Game Design, Game Development, and Game Management in ISD
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T8: General Topics in ISD<\/h2>\n\n\n\n
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International Steering Committee<\/h2>\n\n\n\n
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