This workshop aims to:

• Foster collaboration to drive impactful AI integration across academic disciplines and industry sectors.
  Explore strategies to enhance the transition of AI research and development into practical industry and educational applications.
• Explore training data best practices and challenges to help non-AI experts effectively train and deploy AI models.
• Leverage faculty experiences across disciplines to create viable mechanisms for cross-disciplinary AI integration.
• Generate actionable insights and launch the development of an action handbook that participants can apply to facilitate AI adoption and integration.

Topics that this workshop will address include:

• Industry-Academia Collaboration
  – Effective partnerships for AI development and workforce readiness
  – Open-source contributions and shared innovation strategies
  – Strategies to identify and address industry needs
• AI Research to Real-World Deployment
  – Challenges in moving AI from theory to practice
  – Case studies of successful AI integration in industry
• AI in Education: Preparing the Future Workforce
  – Embedding AI into educational programs and curricula in disciplines other than AI/CS
  – Aligning educational outcomes with industry needs

This workshop is expected to produce the following outcomes

• A collaborative whitepaper or report summarizing insights and recommendations from the workshop.
• New partnerships initiated during the event among attendees, including industry-academia partnerships.
• Recommendations for AI adoption strategies applicable across different sectors.
• Opportunities for future research and collaboration to enhance AI integration, including collaborative publications and projects.

SWT Leaders:

Eman El-Sheikh (Primary Contact)
University of West Florida
eelsheikh@uwf.edu

Costis Toregas
George Washington University
toregas1@gwu.edu

Debasis Bhattacharya
University of Hawaii Maui College
debasisb@hawaii.edu

This workshop will present technology and curricula resources (data and systems) from the University of Arkansas Enterprise Systems, housed in the Information System Department, Walton College of Business. Technologies available include: 1) Teradata, 2) IBM Z15, 3) Microsoft SQL Server, 4) SAP S/4HANA, 5) SAS VIYA, 6) PowerBI as well as many actual datasets. A review of the large datasets donated by industries will help identify how these technologies have interfaced with both the University of Arkansas and other Universities.

A panel (both faculty participants and industry specialists) will be available to address the support provided by Enterprise Systems in their usage of these technologies. The workshop will include hands-on access to the Enterprise System platform. Workshop highlights include:

• Enterprise Systems Introduction
  – Technologies available: Teradata, SAP S/4HANA, IBM Z15
  – Exercises & Use Cases: SAS VIYA, SAS EG, SAS EM, SAP, Teradata
  – Datasets: Dillard’s, Sam’s Club, Acxiom, BlueCross BlueShield
  – Platforms: Teradata Studio, HANA Studio, SQL Server Studio
• Curricula Development – Business Analytics
  – Finding academic partners
  – Finding industry partners
  – Collaboration between businesses and university
• Integrating Technology into the Classroom – Panel
  – Pamela Schmidt – Washburn University
  – Yenny Yang – Teradata University
  – Susan Bristow – University of Arkansas
  – Kenneth Grifno – University of Arkansas
  – Ron Freeze, Moderator
• “Hands-on” Applications for Curricula
  – Accessing VMware and the University of Arkansas Enterprise System offerings
  – Connecting to a large dataset
  – Connecting to Teradata and large Data Sets
• Discussion — Resources, Challenges, Curricular Issues, and Research Implications
  – Resources for Curriculum
  – Information Systems Department Masters Programs, Enterprise Systems, University of Arkansas

NOTE: Access to all resources covered in this workshop is free to the universities requesting use of the systems.

SWT Leaders:

Paul Cronan (Primary Contact)
University of Arkansas
pcronan@walton.uark.edu

Susan Bristow
University of Arkansas
sbristow@walton.uark.edu

Ronald Freeze 
University of Arkansas
rfreeze@walton.uark.edu

Kenneth Grifno
University of Arkansas
Kgrifno@walton.uark.edu

The workshop will present technology and curricula resources (data and systems) from the University of Arkansas Enterprise Systems, housed in the Information System Department, Walton College of Business. Available resources include healthcare datasets as well as technologies (Teradata, IBM Z15, Microsoft SQL Server, SAP S/4HANA, SAS VIYA, and PowerBI).

A faculty participant and industry specialist panel will be available to address the support provided by Enterprise Systems as well as data provided. The workshop will include hands-on access to the Enterprise System platform. Workshop highlights include:

• Enterprise Systems Introduction – Technology Resources
  – Platforms: SAP, Teradata Studio, HANA Studio, SQL Server Studio
  – Exercises & Use Cases: SAS VIYA, SAS EG, SAS EM, SAP, Teradata
  – BlueCross BlueShield and other datasets
• Curricula Development/Collaboration – Healthcare Business Analytics
  – Finding academic partners
  – Finding industry partners
• Panel – Integrating Healthcare Business Analytics Technology into the Classroom
  – Susan Bristow – University of Arkansas
  – Kenneth Grifno – University of Arkansas
  – Paul Cronan – University of Arkansas
  – BlueCross BlueShield Data Science Representative
  – Ron Freeze, Moderator
• “Hands-on” Applications for Curricula
  – Accessing VMware and the University of Arkansas Enterprise System offerings
  – Connecting to Healthcare datasets
  – Visualizing Healthcare data and Storytelling
  – Wrangling Healthcare data
  – Machine Learning with Healthcare data
• Discussion — Resources, Challenges, Curricular Issues, and Research Implications
  – Resources Available for Curriculum
  – Healthcare Datasets – BlueCross BlueShield and others
  – Information Systems Department Masters Programs, Enterprise Systems, University of Arkansas

NOTE: Access to all resources covered in this workshop is free to the universities requesting use of the systems.

SWT Leaders:

Paul Cronan (Primary Contact)
University of Arkansas
pcronan@walton.uark.edu

Susan Bristow
University of Arkansas
sbristow@walton.uark.edu

Ron Freeze
University of Arkansas
rfreeze@walton.uark.edu

Kenneth Grifno
University of Arkansas
kgrifno@walton.uark.edu

This tutorial will present an innovative approach to teaching MIS Introduction Course for Gen Z and Alpha business students. This approach has been tested with over 3000 students in more than 80 groups over nine trimesters. This approach significantly improves student learning. More precisely:

• It helps students from all business majors better grasp the critical role of IT (including AI) in every aspect of organizations’ strategic activities.
• It maximizes students’ lessons learned by improving their decision-making abilities and learning experience through practical business case studies while initiating them to novel AI pedagogical tools
• It provides both students and instructors a preliminary set of guidelines on how to effectively and efficiently use AI.

The tutorial is structured in four parts. First, we will present the theoretical background upon which our approach is built. Specifically, we will explain why and how we devised a strategy-based framework to highlight the critical role of IT within organizations and to structure the content and flow of the course. Second, we will present the pedagogical background upon which our approach is built. More precisely, we will present why and how we drew from the case study method as well as the AI literature and related pedagogical tools to develop a series of integrated and complementary cases. Third, we will present a model course outline and possible derivatives to show participants how they may adapt and use our approach to fit their agenda. Fourth, we will provide an overview of the portfolio of cases we have devised, including a few that leverage AI in different ways, so participants may better grasp the ins and outs of our approach in terms of lectures, evaluations, grading, and all-around support to students. If time permits, participants will also be asked to realize part of one of our assignments so they may experience first-hand the integration of AI in our strategy-based case study approach.

SWT Leaders:

Pierre Hadaya (Primary Contact)
ESG-UQAM
hadaya.pierre@uqam.ca

Philippe Marchildon
ESG-UQAM
marchildon.philippe@uqam.ca

Through both theoretical and hands-on components, this tutorial will expose participants to advanced text analytics using open-source programming languages R and Python. Discussions of prompt engineering to conduct text analysis via large language models (LLMs) and generative AI tools will be included.

Tutorial participants will be asked to prepare for the tutorial in advance by downloading Anaconda Navigator, as their Python environment and package manager, and R and Positron (the new data science2IDE from Posit (formerly RStudio). Participants will use Positron for their Integrated DevelopmentEnvironment (IDE) for both R and Python. Anaconda Navigator will also provide access to Jupyter Notebooks for use as an IDE. As before, we will have a private GitHub repository for the participants and make the data, scripts, and other materials for use during the tutorial.

Data for the HICSS-59 tutorial will include textual datasets focused on cybersecurity and AI (e.g. RFI comments on NIST AI RMF, CERT incident reports, and CVEs). The repo will contain the datasets, and other materials for use during the tutorial. The tutorial will be structured into four streams. While there are clear overlaps between these streams, each represents a different set of conceptual and technical approaches to text mining and analytics.

After a brief introduction to the open-source languages and tools used in the tutorial, we will presenthands on navigation through the four text analytics streams, structured into four sessions:

Stream 1 Traditional “Bag-of-Words, Count and Rule-Based Approaches”: is for researchers interested primarily in statistical “bag of words” and count-based approaches to text mining, including exploratory(inductive) keyword and phrase frequency analysis, term-frequency by inverted document frequency(tf*idf), correspondence analysis, and confirmatory (deductive) and rule-based approaches such as the development and application of dictionaries, including sentiment analysis.

Stream 2 Syntactic Parsing and Unsupervised Machine Learning: will present an overview of syntactic parsing and NLP-based approaches to text mining, including Named Entity Recognition (NER); and unsupervised Machine Learning approaches, such as: topic modeling and k-means clustering.

Stream 3 Supervised Machine Learning and Deep Learning: will present an overview of supervisedMachine Learning (ML) including: predictive regression and classification models using naïve Bayes, Support Vector Machines (SVM), and random forests; and Deep Learning (DL) approaches including:Dense Neural Networks (DNN), Long Short-term Memory (LSTM) networks, Convolutional NeuralNetworks (CNNs). We may highlight the use of SHAP (Shapley Additive Explanations) or LIME (LocalInterpretable Model-agnostic Explanations) within Explainable AI frameworks.

Stream 4 Word Embeddings, Large Language Models, and Transformers: will present an overview of word embeddings, large language models, and transformer models, including Bidirectional EncoderRepresentations from Transformers (BERT), Generative Pre-Trained Transformers (GPT), and Text-to-TextTransfer Transformers (T5) models. These techniques all underly the generative AI systems like ChatGPT.We will include a discussion of prompt engineering for generative AI by demonstrating the capabilities ofGUI-based RAG-AI applications like NotebookLM. We will also provide a demonstration of the steps ofRAG implementation in open source LLMs.

The tutorial will conclude with a hands-on demonstration that may include exposure to advanced topics such as use of text augmentation and adversarial NLP methods. The closing discussion will focus onhaving attendees share their own experience and generate ideas for curriculum development.

To deepen the connection with the minitrack on AI Safety, Cybersecurity, and Inclusion in the DecisionAnalytics and Service Science Track, participants will be introduced to the role these techniques can playin understanding issues in ethical AI, AI safety, cybersecurity, and inclusion. There will be an explicit focuson continuing to build the HICSS text mining community.

SWT Leaders:

Derrick Cogburn (Primary Contact)
American University
dcogburn@american.edu

Haiman Wong
Purdue University – West Lafayette
wong424@purdue.edu

Tahir Ekin
Texas State University
tahirekin@txstate.edu

This tutorial will explore the concept of a computer-based system that emulates human Consciousness and Awareness (C&A) in a software system. We will discuss aspects of human C&A, a few of the major models being considered, and the discipline of protocol analytics which is used to extract structures, rules, and analytics from human situations as the basis for implementing a computer-based system. We will then describe a modest proposal for a software architecture, a set of structures forming the infrastructure, and qualitative and quantitative processing methods that represent processing, reasoning, explanatory, and possible dynamic learning methods. A brief demonstration depicted some initial results will wrap up the tutorial.

SWT Leaders:

Stephen Kaisler (Primary Contact(
SHK & Associates
skaisler1@comcast.net

Brittany Davidson
University of Bath
Brit23@bath.ac.uk

Abzatdin Adamov
ADa University
aadamov@ada.az.edu

Modern social science is facing a paradigm shift due to the development of computer and Internet technologies. Human behavior and social phenomena are possible to be quantified by big data digitally tracing online activities and mobility records at a granular level. In some cases, big data can be analyzed using technologies evolving in the natural sciences, such as physics, chemistry, and biology. Experimental data and multiple results from theoretical and computational simulations complement them. Both theoretically and analytically grounded insights may open new doors of computational social sciences.

The scope of this mini-symposium includes, but is not limited to, big data applications, big data collection and use, an integrated framework for theory, simulation, statistics, and experiments.

SWT Leaders:

Isamu Okada (Primary Contact)
Soka University
okada@soka.ac.jp

Fujio Toriumi
University of Tokyo
tori@sys.t.u-tokyo.ac.jp

Dongwoo Lim
Tsuda University
5thekoo@naver.com

In this tutorial, participants will learn about the newest data and software management practices to support preservation and reproducibility. They will also learn about furthering reproducible research through the application of FAIR principles.

The tutorial will be organized around three mini-sessions, each with a short demo or presentation of tools and the bulk of time devoted to hands-on participatory activities. Tools will be grouped around openness and FAIR for data, research software, and FAIR4ML, an initiative from the international Research Data Alliance (RDA) to describe tools for managing data and software in the lab and funded projects. The tutorial will conclude with a panel of open questions, including suggestions for future areas of emphasis for this tutorial.

SWT Leaders:

Line Pouchard (Primary Contact)
Sandia National Laboratory
lcpouch@sandia.gov

Sandra Gesing
San Diego Supercomputer Center
sgesing@ucsd.edu

This workshop will present on-going work on how Smart City Digital Twins are enabling complex decision dynamics in real time in cities. Breakout sessions on specific sub-topics (e.g., mobility, water, energy) will be carried out with an aim to identify fundamental and applied research needs in each sub-topic area and formulate strategies to achieve the research paths.

SWT Leaders:

John Taylor (Primary Contact)
Georgia Tech
jet@gatech.edu

Neda Mohammadi
University of Sydney
neda.mohammadi@sydney.edu.au

This workshop ​is designed to unpack the case for healthcare digital twins, how we can develop suitable digital twins,​ and identification of significant challenges and areas of concern such as human-computer interface​ design, personalization, transparency, explainability, validation, patient safety, privacy, ethical, legal, and​ regulatory obligations.​ By incorporating digital twins into the clinical​ decision-making process, we proffer that it is possible to provide a triple P effect: superior precision,​ superior personalization and superior ability to monitor and improve disease management.​

SWT Leaders:

Nilmini Wickramasinghe (Primary Contact)
La Trobe University
nilmini.work@gmail.com

Freimut Bodendorf
University of Erlangen-Nürnberg
freimut.bodendorf@fau.de

Elliot Sloane
Villanova University
ebsloane@gmail.com

The workshop will essentially encompass two components: 1) Sharing perspectives from recognized thought leaders and do-ers from around the world on the potential (and imperative) of Learning Health Systems (LHSs) as well as sticky barriers to their advancement, and 2) Interactive discussions with audience participants regarding ways to harness system sciences to surmount these challenges. Potential topics to be discussed include:

• The development of high-functioning LHSs
• Core Values for LHSs
• Role of standards in unleashing transformative potential
• LHS Toolkit
• LHSs for environmental sustainability and climate change resilience
• Transdisciplinary education of future generations of leaders for LHSs
• Cultural challenges presented by non-learning systems and anti-learning systems
• LHSs movement in the context of geopolitical developments
• Global perspectives on LHSs
• Fusing system sciences and LHSs

SWT Leaders:

Joshua Rubin (Primary Contact)
University of Michigan Medical School
josh@joshcrubin.com

Rebecca Kush
Catalysis
rkush@catalysisresearch.com

Paige McDonald
George Washington University School of Medicine & Health Sciences
paigem@gwu.edu

In this symposium, we explore the current state-of-the-art and future directions of digital health ecosystems. We frame future digital health ecosystems as complex cyber-physical socio-technical ecosystems merging cyber space — multiple and accelerating real-time data-streams, connecting, e.g.,patient-centric digital health data, health data governance, and emerging health information technologies— to physical space including patients, healthcare facilities, and life science manufacturing. Thus, future digital health ecosystems encompass and datafy the full value chain between people, healthcare providers, life science manufacturers, and regulators, providing the potential to address current and future digital health needs and challenges.

To progress from this point of view, the conceptual construction of cyber space demands the integration of technical systems thinking on hard domains (infrastructure and technologies, e.g., sensors, IoT, AI, and big data analytics), whereas physical space calls for the integration of social systems thinking on soft domains (regulations, policies, demographic trends, skills, and public health). This integration demands a collaborative approach among diverse actors, technologies, and societal elements.

With the accelerating emergence of data-driven technologies changing the landscape of pharmaceutical R&D, medical diagnostics, healthcare services, etc., there is both an opportunity and a need to increase focus within product manufacturing and service supply to increase agility, flexibility, and resilience while ensuring patient safety, data security, and regulatory compliance. How to advance and speed up this process, integrating alternative streams of digital health research with a socio-technical ecosystem approach, is the core topic of the symposium.

SWT Leaders:

Tero Villman (Primary Contact)
Finland Futures Research Centre, University of Turku
tero.villman@utu.fi

Toni Ahlqvist
Finland Futures Research Centre, University of Turku
toni.ahlqvist@utu.fi

Mikkel Knudsen
Finland Futures Research Centre, University of Turku
mikkel.knudsen@utu.fi

Designed to maximize knowledge-sharing, audience engagement, and actionable takeaways, the “AI in Action” workshop is structured as an interactive and dynamic four-part discussions.

• How We Teach It – AI Education & Workforce Development
• How We Use It – AI Applications Across Industries
• How We Govern It – AI Policy, Law, and Ethics
• How We Secure It – AI, Cybersecurity, and Privacy

Bringing together leading experts in education, industry, law, and cybersecurity, this workshop offer practical insights, case studies, and strategies for navigating AI’s evolving role in society.

SWT Leaders:

Karen Matthews
Harvard/DoD
matthewski007@gmail.com

Tyson Brooks
NSA/Syracuse University
ttbrooks@syr.edu

Suzanna Schmeelk
St. John’s University
schmeels@stjohns.edu

This workshop explores diverse subjects around design, development, and use of Indigenous AI artifacts to support cultural practices and revitalisation. Through engaged discussions, the workshop aims to synthesize the current state of research and practice situated at the intersection of Indigenous culture and AI. Participants will learn from scholars who have or are developing novel AI solutions in order to understand the underlying assumptions and values of this work, challenges encountered, benefits to diverse stakeholders, and best practices. From there, workshop participants will engage in a co-creation exercise to develop a research agenda that will be submitted for publication to a journal. Thorough this workshop, we aim to advance the discourses on Indigenous digital sovereignty and AI-enabled cultural practices, and in turn, contribute to the decolonization of research within the HICSS community.

SWT Leaders:

Jacqueline Corbett (Primary Contact)
Université Laval
jacqueline.corbett@fsa.ulaval.ca

Alexander Chung
Université Laval
alexander.chung@fsa.ulaval.ca

Kevin Shedlock
Victoria University of Wellington
kevin.shedlock@vuw.ac.nz

This symposium provides a platform for two panel discussions. The first discussion will involve researchers to offer their perspectives, considering recent advances, on exciting ways that augmented intelligence using Gen AI, Agentic AI, and Augmented reality can improve the future of work, with benefits for workers, employees, and/or society. The second discussion focuses on the risks associated with these disruptive technologies and the identification of paths toward understanding and eventually minimizing potential harm while preserving key benefits.

At the symposium, scholars from academia and industry will share their thoughts on question including, but not limited to:

• In what ways can organizations foster effective collaboration between humans, generative AI, and agentic AI systems, and how might this collaboration reshape traditional workflows?
• What principles should guide the development of human-AI interaction models to enhance productivity and innovation?
• What challenges and opportunities do the evolving job landscape pose for both employers and employees?
• How do generative AI, agentic AI, and AR contribute to or challenge human creativity, and what opportunities does it present for innovation in various industries?
• How will generative AI and agentic AI influence global workforce dynamics, including outsourcing trends, remote work, and cross-border collaborations?
• Are there regulatory frameworks or policies that should be established to govern the ethical and responsible deployment of generative AI in the workplace?
• What are key ethical risks and legal issues that threaten to reduce the benefits of these emerging technologies of human augmentation for workers, organizations, and society?
• How should ownership and intellectual property rights be defined and protected in the context of generative AI systems trained on proprietary datasets?
• What mechanisms can ensure fair compensation for owners of data used to train AI models, especially when the resulting models generate significant value?
• What are the considerations for organizations when negotiating data licensing and usage agreements with data providers?

SWT Leaders:

Souren Paul (Primary Contact)
Drexel University
Souren.paul@gmail.com

Alex Kass
Accenture Labs
alex.kass@accenture.com

Tung Bui
University of Hawaii at Manoa
tungb@hawaii.edu

In today’s digital age, distinguishing between truth and falsehood has become increasingly challenging. Digital platforms not only facilitate the rapid spread of misinformation and disinformation but also reinforce cognitive biases and echo chambers. To address this issue in an innovative and engaging way, escape rooms have developed as a game-based learning tool and successfully implemented in both online and offline, equipping individuals with the skills needed to identify and combat misinformation. Building on this success, the escape room experience is now being expanded into virtual reality (VR), offering an immersive and interactive way for users to engage with misinformation challenges in real time.

This workshop will provide participants with hands-on experience in using escape room games as tools for combating misinformation. Working in groups, participants will engage in a misinformation-themed escape room challenge, solving puzzles and analyzing clues within a limited time to “escape.”HICSS, known for its interdisciplinary approach, provides a relevant and timely forum for advancing these discussions, particularly within its tracks on Curriculum, Learning, and Collaboration Technologies. Given the increasing adoption of game-based learning, our panel and workshop will offer valuable insights that align well with HICSS’s research priorities and broader academic discourse.

SWT Leaders:

Youjeong Kim (Primary Contact)
University of Hawaii at Manoa
ykim77@hawaii.edu

Jin Ha Lee
University of Washington
jinhalee@uw.edu

Coward Chris
University of Washington
ccoward@uw.edu

This workshop provides a collaborative space for the HICSS community to identify and suggest actionable guidelines to promote conference attendance, involvement, and leadership for people in all stages of their career and from diverse training backgrounds and experiences. Specifically, the workshop has three goals:

1. Review current HICSS data collection practices related to tracking diversity in engagement across conference activities including submission, review, attendance, and involvement in leadership roles.
2. Conduct a listening and brainstorm session to identify a) barriers and facilitators of HICSS involvement and b) optimal data elements to collect/collection methods to track diversity in engagement across conference activities.
3. Operationalize an empirical evaluation system for ongoing assessment of HICSS engagement and provide a blueprint for implementation.

The product of this workshop will be guidelines for data collection measures and methods to track diversity of HICSS involvement. These guidelines will be presented to HICSS track chairs for consideration and potential implementation.

SWT Leaders:

Tiffany Glynn (Primary Contact)
Harvard Medical School/Brigham and Women’s Hospital/Massachusetts General Hospital
trglynn@bwh.harvard.edu

Rachel Davis-Martin
UMass Chan Medical School
rachel.davis-martin@umassmed.edu

This for a workshop builds on the extension of the systemic risk method to major pandemics from the Systemic Pandemic Risk Management project (2020-2023) funded by. Topics that will be discussed include:

• Risk model of future pandemic risks based on a case to be provided in advance
• Quality assurance and validation of the risk model using the most potent scenarios based analysis of hierarchical potency and feedback loop potency of the risks
• Development of the most impactful and practical mitigations strategies

In this workshop, a facilitated participatory modeling will be conducted using the software platform Strategyfinder. With Strategyfinder, causal maps that visualize the risk system can be created, making it easier to understand the interactions between risks and to develop effective mitigation strategies. Participants will get access free of charge to Strategyfinder for a limited period of 3 weeks, allowing them to conduct further exploration of the risk model or even extending the risk model through additional participatory modeling.

SWT Leader:

Jose Julio Gonzalez
University of Agder
josejg@uia.no

This symposium will explore how Information Systems, Systems Science, and Service Science contribute to Circular Economy (CE) by enabling new ways of designing, delivering, and coordinating value creation. It will also address key challenges, risks, and paradoxes in applying these approaches. Topics addressed by the panel discussion might include, but are not limited to:

• Systems Science perspectives on CE: Modeling resource flows, networks, and feedback loops in circular ecosystems
• Service Science and CE: The role of service-based business models in replacing traditional ownership with sharing, leasing, or product-as-a-service models
• Inter-organizational collaboration and coordination: How IS enables transparency, trust, and cooperation across industries
• IS support for sustainable business models: Designing platforms, marketplaces, and incentive mechanisms for CE
• Tensions in digitally transforming linear supply chains to CE: Overcoming resistance and integrating data-driven decision-making
• Potential risks, limitations, and paradoxes: Addressing rebound effects, unintended consequences, and digital infrastructure challenges
• Technologies enabling CE: The role of AI, robotics, and automation in resource optimization and recovery processes
• CE as a new market-shaping force in IS research: Exploring how digital technologies reshape industries, consumer behaviors, and regulatory landscapes

SWT Leaders:

Frederik Möller (Primary Contact)
Technische Universität Braunschweig
frederik.moeller@tu-braunschweig.de

Martin Ebel
Ruhr-University Bochum, Centre for the Engineering of Smart Product Service Systems (ZESS)
martin.ebel@isse.ruhr-uni-bochum.de

Christian Koldewey
Heinz Nixdorf Institute, University of Paderborn
christian.koldewey@hni.upb.de

This symposium aims to:

• Facilitate discussion and sharing of research findings among scholars who are interested in exploring how information can be used effectively to support development of innovations and to enhance economic, environmental and social sustainability at individual, organizational, and community levels.
• Set up a research agenda that will enable global research collaborations to advance theory and practice in managing information for innovation and sustainability.

The symposium provides an opportunity to exchange knowledge, generate new ideas, foster creative thinking and establish new global research partnerships. Topics that will be addressed include, but are not limited to:

• Information, truth and trustworthiness in digital ecosystems
• The dynamic capabilities framework that capture and measure information pertaining to sustainability and uncertainty
• Technology advancement for enhancing Environment, Society, and Governance (ESG) performance
  The role of enterprise architecture in enhancing sustainability through digital transformation
• Best practices and challenges in managing and sharing emissions data across supply chains
• The role of language and frames of sustainability for entrepreneurial ventures and SMEs in crowdfunding ecosystems

SWT Leaders:

Danny Samson (Primary Contact)
University of Melbourne
d.samson@unimelb.edu.au

Sherah Kurnia
University of Melbourne
sherahk@unimelb.edu.au

Niharika Garud
University of Melbourne
niharika.garud@unimelb.edu.au

This workshop aims to build a comprehensive research framework and agenda to guide the development of the Governing Smart Sustainable Cities field in the coming years. The focus will be on sustainable development and resilient cities, leveraging emerging technologies such as Artificial Intelligence (AI), digital twins, and advanced information systems. The main objectives of the workshop include:

• Advancing research and collaboration on Smart Sustainable Cities (SSCs) and governance
• Developing a strategic research agenda that integrates sustainability, governance, information systems, and technology
• Identifying key policy and technological challenges in implementing SSCs, with a particular emphasis on data-driven decision-making and digital infrastructure
• Fostering international cooperation e interdisciplinary research

The workshop will explore critical topics including:

• The role of artificial intelligence, digital twins, and the Internet of Things (IoT) in city governance
• The impact of data-driven decision-making on urban resilience and sustainability
• Interoperability challenges and governance frameworks necessary for effective SSCs
• The role of participatory governance and citizen engagement in urban digital transformation
• Digital infrastructure and cybersecurity in smart city development
• Case studies and best practices from leading cities around the world

By addressing these topics, the workshop will provide a comprehensive framework for how information systems and digital governance can intersect to support the sustainable development of cities, improve quality of life, and enhance resilience to deal with emerging challenges such as climate change and rapid urbanization.

SWT Leaders:

Gabriela Viale Pereira (Primary Contact)
University for Continuing Education Krems
gabriela.viale-pereira@donau-uni.ac.at

Tomasz Janowski
Politechnika Gdańska
tomasz.janowski@pg.edu.pl

Sustainable computing is an emerging crucial area of national priority. A major societal goal for sustainable computing is to make the massive computing infrastructures (such as large-scale data centers) in all private and public sectors economical and environmentally friendly.

This symposium provides a forum for brainstorming and problem solving by bringing together world-leading researchers in the areas that span energy efficiency and computing with those interested in investigating solutions to the problems that include, but are not limited to:

• Power-efficient algorithms and protocols
• Power-aware software design
• Power-aware hardware and system design
• Low-power electronics and systems
• Low-power multi-core architectures
• Power-awareness in sensing and monitoring
• Power-awareness characterization, metrics, and modeling
• Reliability, thermal behavior, and control
• Power-efficient delivery and cooling
• Life cycle analysis of computing infrastructures
• Renewable energy models and prediction
• Computing and renewable resources
• Matching energy supply and demand
• Smart grid and microgrids
• Smart transportation and manufacturing
• Smart buildings and urban development
• Energy harvesting, storage, and recycling
• Climate and ecosystem monitoring
• Using Information Technology (IT) to reduce carbon emissions
• Carbon metering and user feedback
• The impact of energy efficiency or carbon metering on the future of human work
• The role of energy efficiency or carbon metering on IT in crisis response.

The format of this symposium will be that of a “town hall meeting” with plenty of opportunities for Q&As, short presentations, and a roundtable involving leading experts in this field, and discussions.

SWT Leaders:

Adolfy Hoisie (Primary Contact)
Brookhaven National Laboratory
ahoisie@bnl.gov

Behrooz Shirazi
Washington State University/National Science Foundation
bshirazi@nsf.gov

This workshop explores the emerging concept of a Human-AI Ecology, where AI systems and human stakeholders interact in a dynamic, adaptive, and ethically responsible manner to foster sustainable development. It aims to foster a multidisciplinary dialogue between researchers, practitioners, and policymakers working toward AI systems that are not only innovative but also contribute to ecological and social well-being. By bridging technical, ethical, and policy perspectives, the workshop will generate actionable insights into how AI can be leveraged to address global sustainability challenges while maintaining human agency and inclusivity.

Topics of discussion include, but not limited to:

• Human-AI collaboration for sustainable innovation
• Ethical, social, and economic sustainability in human-AI systems
• AI’s role in environmental and ecological sustainability
• Designing AI systems for a sustainable future

SWT Leaders:

Keeheon Lee (Primary Contact)
Yonsei University
keeheon@yonsei.ac.kr

Younah Kang
Yonsei University
yakang@yonsei.ac.kr

Jean Young Song
Yonsei University
jeansong@yonsei.ac.kr