The high value of collaboration among scientists and of interactions of university researchers with industry is generally acknowledged. In this study we explain the use of different knowledge networks at the individual level from a resource-based perspective. This involves viewing networks as a resource that offers competitive advantages to an individual university researcher in terms of career development. Our results show that networking and career development are strongly related, but it is important to distinguish between different types of networks. Although networks on various levels (faculty, university, scientific, industrial) show strong correlations, we found three significant differences. First, networking within one's own faculty and with researchers from other universities stimulates careers, while interactions with industry do not. Second, during the course of an academic career a researcher's scientific network activity first rises, but then declines after about 20 years. Science-industry collaboration, however, continuously increases. Third, the personality trait 'global innovativeness' positively influences science-science interactions, but not science-industry interactions.

Governments invest in "key enabling technologies," such as nanotechnology, to solve societal challenges and boost the economy. At the same time, governmental agencies demand risk reduction to prohibit any often unknown adverse effects, and industrial parties demand smart approaches to reduce uncertainties. Responsible research and innovation (RRI) is therefore a central theme in policy making. Risk analysis and technology assessment, together referred to as "RATA," can provide a basis to assess human, environmental, and societal risks of new technological developments during the various stages of technological development. This assessment can help both governmental authorities and innovative industry to move forward in a sustainable manner. Here we describe the developed procedures and products and our experiences to bring RATA in practice within a large Dutch nanotechnology consortium. This is an example of how to put responsible innovation in practice as an integrated part of a research program, how to increase awareness of RATA, and how to help technology developers perform and use RATA. Integr Environ Assess Manag 2018;14:9-16. C

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About a decade ago, scientists and science journalists presented nutrigenomics as a grand promise that each of us would soon know which foods fit in our personal healthy diet. Meanwhile, expectations have been adjusted to fit a changed reality. Simultaneously, societal issues surrounding personalized nutrition continue to rise, including whether consumers need it, food industry can produce it, all relevant stakeholders are willing and able to work together, and if it is a desirable way to go for nutrition. The commentary below reports the main results of 6 research projects that focused on nutrigenomics and its role in society.

In order to study user-producer interaction (UPI) in emerging pharmaceutical and food innovation processes, a classification of user involvement has been developed, including a contextualised view on UPIs. Case studies are performed on two types of UPI: demand articulation in intermediary organisations and interactive learning in consortia, in the pharmaceutical and food sector, respectively.Regarding demand articulation processes, articulation of problems, needs, demands and expectations through agenda-setting practices is important. Expression and evaluation of demands with other factors leads to moblization of creative potential of prospective users and facilitation of emerging innovation processes.Regarding interactive learning, geographical, organisational, regulatory and cognitive proximity conditions could facilitate structures for emerging technology development, and codes and networks for frequent interaction between complementary stakeholders. Demands, concerns and opportunities are articulated by shared visions. Organised UPIs via intermediary user organisations or consortia seem to be the important tools for demand articulation and interactive learning involving patient organisations, researchers and private and public organisations.