A CONCEPTUAL FRAMEWORK FOR SMARTER INTERDISCIPLINARY HYBRID COLLABORATION ON AN INFINITE CANVAS

Abstract

In response to the heightened demand for advanced digital collaboration tools in hybrid work environments post-COVID-19, this thesis introduces “Dao,” a conceptual framework that adds to the Smart Amplified Group Environment (SAGE3) ecosystem. Dao integrates data science and artificial intelligence into SAGE3, catering to the evolving needs of the science, technology, engineering, mathematics, and related fields (STEM+) community. It enhances SAGE3’s existing functionalities with a stateful Application Programming Interface (API) and a novel 2D layout algorithm, enriching the platform’s infinite canvas and relaxed “What You See Is What I See” (WYSIWIS) paradigm for more effective spatial organization and data interaction. Dao seamlessly blends vital components such as the Foresight Engine and Seer with SAGE3, fostering an environment conducive to intricate, data-driven collaboration. This integration streamlines interdisciplinary projects, enabling efficient co-programming and dynamic content management. The Dao framework represents a significant leap in collaborative digital tools, emphasizing the role of artificial intelligence and data science in enhancing efficiency and innovation in collaborative research and development, particularly suited for hybrid workplace settings.