This track will investigate the transformative role of sustainable digital platforms (KolK and Ciulli, 2020;  Bonina et al., 2021; Hellemans et al., 2022) as key enablers in fostering Intelligent Knowledge ecosystems. By blending human cognitive capacities with data and AI capabilities, these platforms facilitate the seamless interaction between human insight and algorithmic intelligence, driving sustainable innovation and resilience.

In a landscape shaped by ecological, social, and technological transformations, the integration of data and AI into knowledge management practices has become essential to achieving long-term sustainability goals. As shown by Linzalone, Schiuma, and Ammirato (2020), digital learning platforms can effectively bridge academia and enterprise, fostering new forms of academic entrepreneurship and knowledge exchange that enhance organizational learning capacity. Extending this perspective, Gregori, Holzmann, and Audretsch (2024) demonstrate how digital platforms enable sustainable entrepreneurship by embedding connectivity and collaborative value creation within business models.

An emerging role is that of knowledge platforms designed to enable impact assessment. These platforms are freely accessible online and can be used by a broad range of actors—including businesses, non-profit organizations, policymakers, professionals, researchers, and citizens—who seek to evaluate the societal benefits generated by projects, initiatives, or economic activities. A well-known example in the field of sustainable finance is IRIS+, the platform launched by the INGO “The Global Impact Investing Network (GIIN)”. However, several other initiatives are now emerging at the national level and within specific sectors, addressing not only projects led by private enterprises but also those undertaken by public organisations, third-sector organizations, and hybrid entities. Among the latter, as an example, the digital platform SoPHIA (Demartini et al., 2025) aims to meet the growing need for impact evaluation in the cultural sector, supporting the transfer of knowledge from universities to society and fostering the development of a vibrant cultural ecosystem.

All these insights highlight the strategic role of platforms as infrastructures that combine human cognition and algorithmic intelligence to drive innovation and sustainability. More recent work (HBS, 2025) further emphasizes how generative AI technologies are transforming teamwork, expertise, and knowledge flows in organizations, underscoring their profound implications for hybrid knowledge systems and AI governance. Together, these contributions illustrate how digital infrastructures are becoming critical enablers of human–AI collaboration and the co-evolution of intelligent, sustainable organizations.

We invite contributions that examine case studies and theoretical perspectives on platforms enabling this human–algorithm synergy across diverse domains.

Topics of interest include, but are not limited to:

• The design of digital platforms that support hybrid knowledge flows;
• The ethical, governance, and bias-mitigation challenges in AI-augmented knowledge systems;
• The evolving role of digital platforms as enablers of sustainable organizational learning;
• Business models and ecosystem architectures supporting human–AI collaboration;
• The transformation of expertise and teamwork in AI-enabled organizations;
• Applications of intelligent knowledge systems in functional domains such as marketing, sales, and finance, where human insight and data-driven analytics jointly enhance decision-making and return on investment (ROI);
• Empirical studies of AI-driven platforms that integrate human creativity and algorithmic optimization to improve organizational performance and commercial outcomes;
• The development of EdTech and digital learning platforms that blend human and AI capabilities to support continuous learning, talent development, and knowledge transfer within and across organizations;
• Research on university–industry/society collaboration and academic entrepreneurship, exploring how digital platforms foster innovation ecosystems, enable new forms of value co-creation, and strengthen the connection between education, research, and market and/or society application;
• Case studies and frameworks illustrating how hybrid knowledge systems transform educational institutions and business functions into intelligent, data-empowered environments for sustainable growth.