Responsible Innovation in Data-Driven Biotechnology

Innovations in biotechnology increasingly shape our societies and our planet. The stream of innovations that could be witnessed in the past few decades opens up new ways to do agriculture, to provide healthcare and to produce compounds and materials, amongst many other things. Many of these innovations rely on biological data. The ability to...

When nature noes digital: routes for responsible innovation: Routes for responsible innovation

Digitalization of biological populations and ecosystems changes our relation towards them. In silico representations of natural systems make them available as resources that allow for novel ways of deriving economic value. These extracted data and models also open novel routes for responsible innovation based on biological systems and derived...

Responsible innovation in synthetic biology in response to COVID-19: the role of data positionality

Synthetic biology, as an engineering approach to biological systems, has the potential to disruptively innovate the development of vaccines, therapeutics, and diagnostics. Data accessibility and differences in data-usage capabilities are important factors in shaping this innovation landscape. In this paper, the data that underpin synthetic...

Digital Twins in Health Care: Ethical Implications of an Emerging Engineering Paradigm

Personalized medicine uses fine grained information on individual persons, to pinpoint deviations from the normal. ‘Digital Twins’ in engineering provide a conceptual framework to analyze these emerging data-driven health care practices, as well as their conceptual and ethical implications for therapy, preventative care and human enhancement....