After this module, you will be able to analyze the traits of digital storage and computation and evaluate how digital information storage and computation enhances business processes, cultural exchange, and societal organization at large. You'll be able to describe the characteristic traits of digital storage, including the ‘digital footprint’, ‘economies of scale’, ‘privacy and exposure selection’, and ‘non-fungible tokens’. You'll also be able to describe the characteristic traits of digital computation, including the ‘machine learning’, ‘knowledge greyboxes’, and ‘what-if scenario’ simulations. Finally, you'll be able to recognize and critically assess the societal and economic impacts of the different building blocks of digital storage and computation.

After this module, you will be able to identify the technical definition of innovation and how it consists of the re-combination of existing building blocks and explore the theory of combining digital traits, and implementing it in practice. You will be able to analyze real-world examples of how digital innovation transforms society by re-combining digital traits and identify and discuss how the sharing economy and crowdsourcing transforms the economy. You'll be able to discover how augmented intelligence arises from the combination of digital traits and how to critically evaluate media concentration, as a natural result arising from the combination of digital traits. Finally, you'll be able to explore your own re-combinations of digital traits and become a digital innovator!