Handbook of Digital Innovation
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Handbook of Digital Innovation

Edited by Satish Nambisan, Kalle Lyytinen and Youngjin Yoo

Digital innovations influence every aspect of life in an increasingly digitalized world. Firms pursuing digital innovations must consider how digital technologies shape the nature, process and outcomes of innovation as well as long- and short-term social, economic and cultural consequences of their offerings. This Handbook contributes to a transdisciplinary understanding of digital innovation with a diverse set of leading scholars and their distinct perspectives. The ideas and principles advanced herein set the agenda for future transdisciplinary research on digital innovation in ways that inform not only firm-level strategies and practices but also policy decisions and science-focused investments.
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Chapter 14: The bits and bytes of biology: digitalization fuels an emerging generative platform for biological innovation

Rob J. Kulathinal, Youngjin Yoo and Sudhir Kumar

Abstract

Extending its long-held empirical traditions, biology is beginning to fully embrace the digital age. The availability of publicly accessible online libraries and databases, the transformation of complex images into pixels, the recent development of new, powerful, and inexpensive sequencing technologies, and the availability of unprecedented computational tools and resources have digitized, digitalized, and mathematized the study of life. Describing life and its components has never been so extensive, exhaustive, integrated, and inclusive. Two transformational developments in biology have made it possible to digitize and fully connect both the diversity and complexity of life. First, evolutionary theory connects the entirety of life together through common ancestry, providing shared links across diversity. Second, the molecules that code for life’s organismal complexity are shared, finite, and foundational. Leveraging evolutionary insight onto an integrated genomics platform with digitized biology is transforming biology from a science that was primarily pattern-based, then process-based, to a highly digitalized science of biological prediction and innovation with unprecedented consequences in the biological sciences and beyond.

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