Next-generation bioeconomy


3.1 Next-generation bioeconomy


The advent of new emerging and converging technologies including biotechnology, automation, and artificial intelligence is driving new business opportunities and contributing to the creation of new markets for bioeconomies worldwide. From the use of remote sensing to measure biomass to the use of CRISPR engineering biology approaches to develop new biobased feedstocks for biomanufacturing, next-generation bioeconomies around the world are rapidly evolving as technologies enable the development of new industry capabilities. New government-sponsored collaborative bioeconomy platforms such as technical research roadmaps and biofoundries aimed to address pre-competitive industry research challenges have given rise to new networks of collaborative global entities with potential to accelerate industrial advances for bioeconomies. New capabilities in automation and robotics have driven improvements in efficiency and safety, allowing for greater output and fewer impacts caused by human error. The digitization of biology and expanding “big data” datasets are now enabling machine learning algorithms to provide inferences that promise improvements in a wide range of industry-relevant needs, from the design of new desired biological systems to the creation of better manufacturing scale-up processes or systems for the management and security of supply chains. These enabling technologies are revolutionizing sectors such as healthcare and medicine, food & feed, and chemicals and construction, to name a few. With similar advances ahead for recyclable materials, upcycling of waste, and carbon sequestration in materials and plants, new bio-solutions are now possible for circular bioeconomies around the world. New approaches and advances in bioeconomy measurement technologies and practices promise to further accelerate next-generation bioeconomies.


Workshop Sponsors:

Yoshijuki Fujishima, New Energy and Industrial Technology Development Organization (NEDO), Japan

Mary Maxon, Lawrence Berkeley National Laboratory

Vladimir Popov, Russian Academy of Sciences


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Yoshiyuki Fujishima, D.Phil., is a Senior Analyst in Japan's government funding agency New Energy and Industrial Technology Development Organization (NEDO). His role includes international policy information exchange in the area of Bioeconomy and Engineering Biology and general technology and innovation policies. He had worked in industrial association for 3 years and Ajinomoto Co., Inc. for over 20 years in the area of biotechnology R&D. He has knowledge in polymer chemistry, biology and has reasonable understanding in human nutrition and health science.

Vladimir Popov, Dr.Sci. (Biochemistry), is a leading Russian expert in the areas of bioeconomy and biotechnology. He is currently a full Member of the Russian Academy of Sciences (RAS). As Chief Scientific Adviser of the Federal Research Centre of Biotechnology of RAS, he is also heading the laboratory of Enzyme Engineering. He is further a member of the Coordination Council for Biotechnology Development under the Russian Government, as well as Coordinator of the Russian Technology Platform “Bio-Industry and Bio-Resources, BioTech2030”. In addition, Popov represents Russia in various international organizations, e.g. the BNCT Working Party of OECD.

Mary Maxon earned her Ph.D. in molecular cell biology from the University of California, Berkeley. Her work has spanned the realms of the private sector in biotech and pharmaceutical industries to the public sector, notably as the Assistant Director for Biological Research at the White House Office of Science and Technology Policy. As Associate Laboratory Director for Biosciences, Mary Maxon leads a part of Lawrence Berkeley National Laboratory with enormous talent, capabilities, and potential. The Biosciences Area aims to address bioeconomy-related challenges in a comprehensive manner, by leveraging advanced facilities and equipment, a culture of interdisciplinary team science, and a historic and deep level of biological and technical expertise.