This paper is going to discuss, what will be called, ‘The Internet of Bodies’. Our physical and virtual worlds are blending and shifting our understanding of three key areas: (1) our identities are diversifying, as they become hyper-enhanced and multi-sensory; (2) our collaborations are co-created, immersive and connected; (3) our innovations are diverse and inclusive. It is proposed that our bodies have finally become the interface.

The University of Greenwich Generator is setting sail on a thrilling new journey of knowledge exchange with the launch of its first-ever podcast the Navigator. Crafted in collaboration with Lucien von Schomberg, Senior Lecturer in Creativity and Innovation at Greenwich Business School it promises to be an exciting platform for innovation, entrepreneurship, and thought-provoking conversation. The podcast aims to bridge the gap between academic insights and real-world issues in an easily digestible way. Through engaging conversations, listeners can expect to gain (...) valuable knowledge from industry leaders and academic experts alike. Operating on three key principles—knowledge communication, knowledge exchange, and knowledge creation—this podcast embodies the essence of the Generator's mission, inspiring, educating and fostering collaboration. The first episode explores the limitless potential of AI in today's world, unravelling its impact on business, education, and society. Guests share their profound insights, experiences, and practical advice, shedding light on how AI is shaping our future. The episode delved deep into the ethical implications but also vast potential of using AI in the future and how it will affect both education and the wider world. The episode boasts an impressive lineup of inaugural guests, including Jane Harrington, the Vice-Chancellor of The University of Greenwich, Carl Thomas, Enterprise Advisor, and founder of Audiowings, Ghislaine Boddington, Professor in Digital Immersion, and Neil Saunders, Senior Lecturer in Mathematical Sciences. Together, these guests provide diverse perspectives on the future of AI at the university and beyond. (shrink)