Science Ltd.

Science LTD examines the evolving relationship between scientific knowledge, technology, and society in an era where deep tech companies are increasingly driven by discoveries rather than market demand. Written from the perspective of metascientific entrepreneurs, this timely work explores how scientific research struggles to balance profit with truth, individual objectives with collective values, and human creativity with machine capabilities. The book addresses the undisputed influence of science in contemporary society while questioning the sustainability of current research paradigms.

The book tackles critical operational questions about modern science: How is scientific knowledge produced and prioritized? How are research funds distributed? What constitutes effective dissemination and application of discoveries? Chapters examine the journey from laboratory innovation to commercial implementation while exploring two fundamental challenges facing the scientific community. First, the urgent need to reform scientific practices, particularly rethinking academic publishing and research funding models to create more open and sustainable science. Second, the complex prospect of human-machine collaboration in research, moving beyond traditional instruments to AI assistants with capabilities that exceed human limitations. Enriched with expert interviews and real-world anecdotes, the book provides both practical insights and speculative analysis of science’s automated future.

This accessible work is designed for researchers, entrepreneurs, policymakers, and anyone curious about the intersection of science and technology. It serves academics seeking to understand contemporary research dynamics, industry professionals navigating the deep tech landscape, and general readers interested in how scientific discovery shapes society. The book offers valuable perspectives for those involved in research funding, science policy, and technology transfer, while remaining engaging for anyone concerned about the future of human-driven versus machine-assisted scientific innovation.

Author Biography

Andrea Borghini is an associate professor at the “Piero Martinetti” Department of Philosophy at the University of Milan and director of Culinary Mind, a research center promoting philosophical thinking on food. A leading scholar in food and philosophy, he also researched consolidated topics in analytic metaphysics and philosophy of biology. He is the author of nine monographs and over eighty publications in journals, volumes, and encyclopedias.

Simone Severini is a Distinguished Engineer at Google and a Professor of Physics of Information at University College London (UCL). He helped found some of the world’s first quantum computing startups, including Cambridge Quantum (later Quantinuum) and Phasecraft. He built the AWS quantum technologies division, including research partnerships with Caltech and Harvard. He’s helped guide funding decisions for agencies in fifteen countries, and he’s also been an advisor to major VCs.