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Scientists' perceptions of societal needs and priorities will shape the innovation trajectories of synthetic biology (SB). In turn, these will be shaped by the funding and regulatory environments in which their research is conducted. This study intends to investigate scientists' perspectives on co-innovation with the public regarding implementation of pathways associated with SB including its agrifood applications.

Semi-structured interviews were conducted with Chinese and EU scientists (N = 9 and 13, respectively). Six prominent themes emerged from the data based on thematic analysis method.

Both Chinese and EU scientists regarded SB as being high-benefit, low-risk and ethically acceptable, and predicted its rejection by the general public and attributed this to the public's knowledge deficit and irrationality. They endorsed the deficit model of science communication, independent of greater emphasis on responsible research and innovation (RRI) in EU research projects. The findings raised concerns that public fears might intensify once they have learned about scientists' biased risk perceptions of SB; this calls for better involvement of broader stakeholders.

As the sample size is relatively small, the generalisation of research findings needs to be cautious. However, the authors believe the findings have provided some insights that support increasingly RRI associated with SB.

This study has presented scientists' misunderstandings of societal responses to SB and science communication. It has also provided information to understand how SB-related issues and agenda can be better shaped in future.

This study aims to examine the forms of information about the synthesis of life forms in the public sphere.

A document‐oriented approach was used and a wide range of documents that discuss a particular technoscientific issue was sampled. The analysis of documents involved a combination of discourse and content analysis.

The study demonstrates that there is a significant growth of the diversity of document types over time. Overall, 24 document types and 21 publication formats were identified. Web‐based formats, such as blogs and news and information web sites, play a prominent role in the dissemination of information about the synthesis of life forms.

The variety of document types identified here expands current understanding of the public documentary landscape and shows that the analysis of technoscientific debates and controversies can no longer be limited to traditional mass media documents such as news, feature articles, and editorials. However, a larger sample that includes more documents as well as non‐textual objects, such as images or even lab specimens, would expand the scope of this taxonomy and make conclusions more definitive. Further research into the specific digital types of documents identified in the study and their impact on the communication of scientific information to the public is needed.

Surveying and understanding the kinds of documents that circulate information about emerging technoscientific issues can help to provide better services for a variety of information users and develop better tools for access and dissemination of such information.

The study demonstrates that a document‐oriented approach can provide valuable insight into the circulation of information about science in the public sphere. It also offers an elaborate taxonomy of documents that can be used in further research as well as in information and science literacy instruction.

The purpose of this paper is to conceptualize and classify sources, manifestations and implications of environmental degradation.

First, the typological analysis is used to conceptualize environmental degradation and its components. Then, the concepts are disaggregated into some dimensions organized in row-and-column variables and a cross-tabulated matrix is constructed. Finally, different types of environmental degradation are identified, labeled and discussed.

The study distinguishes between two types of degradation as pollution and deterioration and accordingly identifies ten types (five pairs) of environmental degradation. Furthermore, the paper presents a conceptual framework and offers insights into the dynamic interchange between the causes and effects of environmental degradation.

The originality/value of this study resides in reducing the ambiguities associated with the concept of environmental degradation and offering a multidimensional framework that can be used in empirical research to organize propositions, test hypotheses, analyze data and construct indexes.

Technology foresight or technology futures analysis is increasingly being recognised as a tool for planning sustainable development. Similarly, as argued by many, biotechnology could be harnessed for sustainable development. Hence, the purpose of this paper is to map out foresight activities in the Indian biotechnology innovation system.

The present paper has adopted a systemic approach to analyse the foresight activities in the Indian biotechnology sector. An online Delphi survey, including interviews, was conducted for 750 biotech units.

The greatest need of foresight is felt in the biopharma sector, especially in the small- and medium-sized firms. The methodologies used are only pre-foresight in nature and for short-term time horizons. The output preferred is “setting the R&D planning and priorities”. “Assessing socioeconomic and environment impact” is not accorded a high priority. Most of the regulatory agencies do not carry out foresight exercises.

The research holds significance for evolving sustainable development policy.

The aim of this paper is to present results of a foresight study on identifying priorities for health-related research and development (R&D) in Russia for the period until 2030.

Research priorities were identified through consistent integrated expert analysis and evaluation of the subject area, i.e. biomedical research preceding development of medical technologies.

Key global and national trends in the biomedical R&D sector and related areas (medicine and health) were identified. According to the experts, the following markets have the best prospects for Russia: regenerative medicine, biodegradable and other biocompatible materials, diagnostic systems, implants, surgical equipment, targeted delivery systems and non-invasive visualisation systems. Entering these markets requires providing support to R&D in the following areas: promising drug candidates, molecular diagnostics, molecular profiling and mechanisms of human diseases, cell technologies (therapies), new materials (biomimetics and other), bioelectronic, bioimaging and biosensors and human genome databases.

Regularly updating research priorities is a necessary prerequisite of successful science and technology development of countries, innovative companies and academic institutions. Allocation of (always limited) financial resources on the basis of such priority-setting exercises’ results is evidence of adherence to scientific planning principles. Combined with monitoring and evaluation tools, priority setting for biomedical R&D must become an integral component of Russia’s innovation policy.

This is a first-ever presentation of Russian experience in setting research priorities for the health-related sphere. Global and national contexts for development of biomedical R&D are described; markets and research areas with the biggest potential for Russian companies are identified.

Theories of platform strategy and adoption have been largely derived from studies of their application in the information and communications technology (ICT) sector. These platforms vary in openness, with the model of open source software providing the best-known exemplar for open platforms.

This exploratory field study examines the degree to which nine attributes of ICT platforms are applicable to open platforms in biotechnology. Using a combination of interview and secondary data, it identifies three patterns of such biotechnology platforms – IP commons, hackerspaces, and crowdsourced patient registries – and the degree to which these nine attributes apply. It shows the impact of ICT platforms and open source software on open source approaches to biotechnology, and how the latter are affected by the technical, legal, and institutional differences between information technology and biotechnology.

Instead of open source software platforms organized around modular interfaces, complements, ecosystems, and two-sided markets, this study instead suggests a model of open source knowledge platforms which benefits from economies of scale but not indirect network effects. From this, it discusses the generalizability of the ICT-derived models of open source platforms and offers suggestions for future research.

We describe an introductory class in biological engineering that uses project-based and mentored inquiry to create a supportive, exciting, and effective learning environment. Freshman students at MIT work in small teams and with senior MIT students to design a biotechnology that addresses a real-world challenge of their choosing. Students gain familiarity with the tools and vocabulary for biodesign first through some hands-on experiences with synthetic biological systems and later by working in teams to define, present and then refine their ideas. A multiyear study of the class experience and impact included postsurveys and semistructured interviews of two freshman cohorts and a retrospective survey of three freshman cohorts. Data support the claim that students perceive academic gains through their project-based classroom experience. Freshmen reported they are better able to understand content in some of their other MIT courses, are better able to read scientific articles, and now think differently about biology. Moreover, they indicated the class was valuable in learning technical content and synthetic biology. We find this project-based class helps students make meaningful connections to scientific ideas, to personal goals and to a vision of their future selves.

Drawing upon Alfred Sohn-Rethel's work, we argue that, just as capitalism produces abstract labor, it coproduces both abstract mind and abstract life. Abstract mind is the split between mind and nature and between subject/observer and observed object that characterizes scientific epistemology. Abstract mind reflects an abstracted objectified world of nature as a means to be exploited. Biological life is rendered as abstract life by capitalist exploitation and by the reification and technologization of organisms by contemporary technoscience. What Alberto Toscano has called “the culture of abstraction” imposes market rationality onto nature and the living world, disrupting biotic communities and transforming organisms into what Finn Bowring calls “functional bio-machines.”

The purpose of this paper is to present the application of Design of Experiments techniques for the analysis of operating parameters of an industrial oven for the heat treatment process of polyethylene terephthalate (PET) bottle filaments.

The focus is on evaluating new ways of operating the transformation process. The main issue is to raise what are the variables interfering with the performance of the oven. The complete 2k factorial for three factors of control was used to analyze the behavior of these variables and their relationships in the specific response parameter for the process.

The results presented in this work allow the company to have greater knowledge about the operation of the equipment. The study showed possibilities of 14.8% energy reduction.

The heat treatment activity was characterized as a critical point in the production process, and techniques with empirical approaches, based on statistical techniques, was an opportunity that the company has to improve the execution of activities without major investments for the quality of the final product. The application of statistical quality techniques showed to be very promising.

The fact that the study was conducted using subjective quality performance makes this work different from others presented in the literature, showing the possibility to apply Design of Experiments using main control factors based on the opinion of experienced personnel involved in the process analyzed.

The purpose of this paper is to analyze the main global transformations of the healthcare sector and their underlying causes and effects.

The study focuses on several important trends including the increasing life expectancy and aging, the rise of non-communicable diseases, the risks of pandemics, medication expenditure, the globalization of healthcare and technological innovations such as digitization, robotic and nanomedicine.

The analysis indicates that the world populations will be much older in the near future and the healthcare sector will witness significant growth opportunities. The aging populations will put more pressure on healthcare systems and increase the incidence of non-communicable diseases. In a globalized world, the risks of global pandemics are expected to increase. The surge in the medication expenditure will put much pressure on healthcare systems, insurers, patients, employers and providers. The healthcare sector is characterized by its above-average growth in the USA and much of the developed world. Therefore, the share of healthcare in gross domestic product will continue to rise. The digitization and globalization of healthcare may involve major disruptions in the location and the type of care. New materials particularly nanoparticles will be used to enhance the precision, quality and efficacy of diagnostics, medications and treatments.

The paper touches on several areas including demographic, clinical, financial, managerial and technological transformations and examines their implications for the healthcare sector.