
Are you researching sustainable and trustworthy digital ecosystems? Then, submit your work to our HICSS2026 “Sustainable and Trustworthy Digital and Data Ecosystems for Societal Transformation” mini-track we chair together with Daniel Staegemann and Asif Gill at the Association for Information Systems Hawaii International Conference on System Sciences (HICSS-59)!
In an era where data is the foundation of digital transformation, well-designed and managed sustainable and trustworthy digital and data ecosystems are critical for artificial intelligence (AI), strategic innovation, governance, competitive advantage, and trust in increasingly digital societies. With the rise of new data architectures (e.g., data meshes and data lakehouses), the shift from centralized to decentralized systems, and the integration of AI in data governance and management among others emerging technologies (e.g., blockchain, cloud computing), these ecosystems are becoming more dynamic, interconnected, and complex. However, alongside their potential benefits that is a common focus of the research around these ecosystems, challenges related to trustworthiness, transparency, security, sustainability, and governance must be addressed.
HICSS2026 “Sustainable and Trustworthy Digital and Data Ecosystems for Societal Transformation” mini-track we chair together with Daniel Staegemann and Asif Gill invites research on how digital and data ecosystems evolve in terms of resilience, trustworthiness, and sustainability while enabling strategic innovation and societal transformation. We welcome studies that explore the interplay between AI, data governance, policies, methodologies, human factors, and digital transformation across sectors such as finance, government, healthcare, and education.
We seek theoretical, empirical, design science, case study, and interdisciplinary contributions on topics including, but not limited to:
- AI, trustworthiness, and governance in digital and data ecosystems:
• AI as an actor and stakeholder in data ecosystems;
• AI-augmented governance, security, and data quality management;
• human factors in AI-integrated ecosystems (trust, user acceptance, participation);
• interoperability, observability, and data linking across ecosystems; - Emerging technologies and strategic innovation:
• transition from centralized to decentralized data architectures (e.g., data lakehouses, data meshes);
• emerging technologies for trustworthy ecosystems;
• AI-driven business process augmentation and decision-making;
• industry and government case studies on evolving data ecosystems; - Resilience and sustainability of data ecosystems:
• ethical AI and responsible innovation in data ecosystems;
• sustainability and long-term governance of digital and data infrastructures;
• cross-sectoral and interdisciplinary approaches for building sustainable ecosystems;
• impact of data democratization on digital transformation and innovation.
By combining the strengths of strategic innovation, trustworthy AI, and data ecosystem governance, this track expects to offer a holistic perspective at the intersection of information systems, AI governance, data science, and digital transformation. It will serve as a platform for researchers and practitioners to explore how digital and data ecosystems can be sustainable, resilient, and trustworthy while driving innovation and societal transformation.
We welcome conceptual, empirical, design science, case study, and theoretical papers from fields such as information systems, computer science, data science, management and process science, policy-making, behavioral economics, and social sciences.
This mini-track is part of HICSS59 “Organizational Systems and Technology” track (chairs: Hugh Watson and Dorothy Leidner) and more information about it can be found here.


















