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Korea’s Institute for Basic Science (IBS), the first research institute dedicated to basic science in Korea, started ten years ago as part of a science policy called the Science Belt. It is noteworthy that Korea, with a short history of basic science, established such a research institute exclusively for basic science within a short period of time and made it one of the representative institutions of basic science in Korea. This paper aims to uncover the impetuses and constraints surrounding the policy of Science Belt, centering on the IBS.

Kingdon’s stream theory is used to clarify the factors that acted as impetuses or constraints for the Science Belt. For the analysis, in-depth interviews with the active policy participants were conducted in addition to the thorough literature review. The interviews enabled an in-depth understanding of the underlying factors for the Science Belt and the actual procedures of the policy decision.

This study found that the most powerful impetus in the Science Belt policymaking process was the President and a small group composed of a few scientists who played a leading role in the political stream. The constraint of the Science Belt was that the participation of scientist experts and governmental officials, the so-called invisible participants of Kingdon, was insignificant. In particular, there was no system in place to select policy alternatives for basic science through discussion between scientists and governmental officials.

The temporal scope of this study was limited to policy formation, that is, until the establishment of IBS. Therefore, future studies shall conduct a research on the implementation of the actual policy, IBS’s achievements and IBS’s impact of Korea’s basic science community.

This study applied both a theoretical framework and in-depth interviews along with the literature overview to understand a policymaking process from various angles.

Science and technology innovation policy has important strategic significance with respect to the promotion of an innovation orientation in our country, and the classification and measurement of regional science and technology innovation policy urgently require research attention.

In this paper, we use text mining and principal component analysis to analyze the classification and measurement of technology innovation policy based on data obtained from Zhongguancun Science Park.

The empirical results indicate that regional science and technology innovation policy can be divided into four types: authoritative, guiding, urgent and periodical. The key measurements are function type, intensity, resource supply, funding level and funding effectiveness.

A comparative analysis is performed to investigate the different types of regional science and technology innovation policy measurement. Additionally, the study’s limitations are discussed, and future research directions are proposed.

This commentary argues that social marketing and the application of behavioural sciences to policy constitute two converging paths towards better policies. It highlights points of convergence and divergence between both disciplines and the potential benefits of further embedding social marketing principles and methods within the recent trend of applying behavioural sciences to policy.

The commentary relies on a review of the behavioural sciences and social marketing literatures and on an analysis of institutional reports reviewing cases of behaviourally informed policies.

Behavioural sciences are increasingly informing policies to promote societal well-being. Social marketing has seldom been explicitly considered as being part of this phenomenon, although it is de facto. Both disciplines share similar end-goals, inform similar policy applications and are rooted in behavioural analysis. They diverge in their theoretical frameworks, their relative emphasis on behaviour change and the span of interventions they generate. Several benefits of embedding social marketing principles and methods within the current way of applying behavioural sciences to policy are identified.

Scholars applying behavioural sciences to policy are encouraged, when appropriate, to use the insights and methods from social marketing. Social marketing can engage in a dialogue with behavioural sciences to explore how to pilot the convergence of both approaches in practice.

The novelty of this contribution lies in providing the first comparison of the application of behavioural sciences to policy with social marketing, and in using the policy-making cycle framework to map the contributions and complementarities of both disciplines.

Science and technology is the bedrock in developing a knowledge‐based economy. Immense changes will be spawned by the development of science and technology. Today, China's remarkable growth has brought a great interest to the rest of the world in fostering her economic development through scientific research and technology acquisition. Whether China will be the world leader in science and technology remains a puzzle. Hence, the purpose of this paper is to examine the challenges of the science and technology development in strengthening China's economic growth. In this context, the purpose of the study is to provide a conceptual framework for the strategic management of science and technology policy in China.

This study was conducted based on the past and present observations and literature review.

Although the concept of “policy for science” plays a pivotal role in the technology progress in China, the concept of “science for policy” should be emphasized. Hence, a unified policy framework where the concepts of “science for policy” and “policy for science” have to be incorporated and synchronized in tackling the challenges faced by current practices.

The commitment in developing an “innovation‐oriented society” in the twenty‐first century, it is essential to lay the foundation for the framework to understand the science and technology policy management in stimulating the Chinese economic growth. The framework could be served as the basis for policy formulation and policy analysis.

In the past 15 years there have been major changes in the conduct of science and technology policy in advanced industrial countries. Recognizing that this is an area where Clem Tisdell has made notable contributions, reviews the recent developments around three themes: the nature of science and technology as distinctive bodies of knowledge arising in different institutional contexts; the market failure approach and its development into an evolutionary rationale for science and technology policy; and the UK Technology Foresight Programme as a specific example of the shift in the focus of science and technology policy.

The paper aims to investigate the emergence of science policy in the states of the USA, drawing attention to the fact that every state has a science and technology agency and multiple programs that attempt to raise the level of science and technology in the state and attract resources from elsewhere.

The paper builds upon the authors' previous study of high‐tech growth and renewal in Boston and Silicon Valley through analysis of documents and interviews with key actors in universities, S&T policy units of the Governor's association to detail the bottom‐up initiatives exemplifying the US innovation policy model.

The path dependent elements in US science and technology policy are an enhanced role for universities, an ambivalent role for national government and industry and a growing role for state and local government. Federal research funds, largely confined to support of agricultural research before the Second World War, became available for a variety of civilian and military purposes, on an ongoing basis, after the war. An assisted linear model of coordinated innovation mechanisms has been constructed on this base to translate inventions into economic activity through university‐industry‐government interactions.

The paper shows that S&T policy at the state level fills gaps in university‐industry relations, leverages federal R&D spending and enhances local comparative and competitive advantage.

Science and technology policy plays an important role in promoting the development of economic and social development in China. At present, the research on science and technology policy is mainly focused on the basic theories and some quantitative research. The analyses for contents of massive science and technology policies are relatively less. This paper makes use of semantic technologies to extract and analyze the relatively important information from massive science and technology policies. The purpose of this paper is to facilitate users to quickly and effectively obtain valuable information from the massive science and technology policies. The key methods and study results are presented in the paper. The study results can provide references for further study and application in China.

The paper presented the analysis model and method for science and technology policy in China. The terms and sentences are the important information in the science and technology policy. The study adopted the technology of natural language processing to analyze the linguistics characteristics of terms and combined with statistical analyses to extract the terms from Chinese science and technology policy. Then, the authors designed an algorithm, calculated and analyzed the important sentences in Chinese science and technology policies. The experiments were run on the Java test platform.

This paper put forward the analysis model and method for science and technology policy in China. The study obtained the following conclusions: term extraction of science and technology policy: the paper analyzed characteristic of terms in Chinese science and technology policy and designed a method of extracting a term that was suitable for the science and technology policy. The calculation of important sentences for science and technology policy: the paper designed an algorithm and calculated the importance of the sentences to obtain valuable information from the massive science and technology policies.

In our methods, there are some defects to be improved or solved in the future. For example, the precision of algorithm needs to be improved. The significance of this paper is to propose and use the analysis model to process Chinese science and technology policy; we can provide an auxiliary tool to help policy beneficiaries. Enterprises and individuals can be more effective to extraction and mining information from massive science and technology policy and find the target policy.

To verify the effectiveness of the method, the paper selected the real policies about the new energy vehicles as experimental data; at the same time, the paper added uncorrelated policies. It used the proposed analysis model of science and technology policy to calculate and find out the relatively important sentences. The results of study showed that the proposed method can obtain better performance. It verified the validity of this method. The model and method have been applied to actual retrieval system.

The proposed model and method in the paper have been applied to actual retrieval system for users.

The paper proposed the new analysis model and method to analyze science and technology policies in China. The presented model and method are a new attempt. According to the experimental results, this exploration and study are valuable. In addition, the idea and method will give a good start for improving information services of massive science and technology policies in China.

Under the background of economic and technological globalization, all countries will pay attention to science and technology innovation policies. At this time, the era of innovation policy plays an important role. In order to thoroughly implement the spirit of the 19th National Congress of the Communist Party of China, earnestly innovate development concepts and strengthen the key supporting role of scientific and technological innovation for social development.

The research will make an in-depth study on the policy of scientific and technological innovation, take the change trend of the number of laws and regulations and the analysis of the basic content as the entry point, and classify it from five different aspects, such as the policy of scientific and technological system and mechanism, the policy of financial guidance, the policy of technological innovation of enterprises, the policy of scientific and technological talents, and the policy of intellectual property.

Through the comparison of the development history of science and technology policies at home and abroad, the development history of science and technology innovation policies under the special national conditions of China is obtained. Combining with the relevant basic theories of science and technology innovation system, designing from the publishing department, main content, and implementation subject, constructing a synergistic science and technology innovation system of “government, industry, university and research,” and forming an “integration of supply and demand” technology innovation framework will guide the development of China's science and technology innovation in the future.

The authors construct the policy framework of science and technology collaborative innovation based on the concept of science and technology innovation policies. The framework has realistic significance for its future development.

The science policy has been at the core business of contemporary nations, and determining how to establish a constructive contract between the wider society and the science/academia community has become a continuous challenge and major task. The purpose of this paper is to draw on Bush’s (1945) classical works and other scholarly stances in an attempt to reveal how research funding discourses and practices in Taiwanese universities have taken shape and been implemented.

Against this broader context, the authors examine the main elements of official documents and significant statistical evidence from recent years.

In summary, basic research investment has comparatively underperformed while the business sector has contributed relatively higher expenditures to the university sector at the international level. A strong state-led approach has been identified as the key characteristics of research funding policy for industrial development/economic growth or social problem solving. Although not making an effort to “save the nation,” the state has been dominant in steering the direction of priority areas and issues for university research in order to achieve better international competitiveness and, in turn, nation building.

The authors examine the impact of the interplay between science’s social contract with society and rhetorical devices on the institutionalization of the university research funding policy framework in Taiwan. The exploration of this interplay leads the authors to elaborate tensions between the government, industry, universities, and research communities in Taiwan. As in other contexts, the race between social accountability and academic autonomy has evolved to be a significant element of these tensions in Taiwan. For better reflecting the public needs or social demands, a greater autonomy for the science community is desirable and favorable for long-term development.

The science policy is a rarely addressed but critical issue for the past two decades. Along with the increasing demand on value for money publicly funded research, societal accountability, and the international competition caused by league tables and cutting-edge technology innovation, this paper draws on classical and current mainstream discourses of science’s contract with society by investigating into Taiwanese research funding in the higher education sector. All findings are highly original for theoretical and practical implications.

The purpose of this study is to outline the improvement of framing in Indonesia science and technology policy content, policy formulation model, policy strategy implementation and policy performance indicators.

This study is conducted by implementing action research model to generate new knowledge as a research interest, through the search for solutions or improvements to problematical situation, applying Soft Systems Methodology. Thus, this research model is regarded as Soft Systems Methodology-based Action Research (SSM-based AR).

Policy formulation is not evidence based in which policy documents remain theoretical and are impractical or not detailed in engaging real conditions and strategic issues, yet the targets are measurable despite predictive results. Change and strengthening are required in the national science and technology policy for the next period, on the basis that future research policies are encouraged to address problems and solutions to build a country based on science and technology. Indonesia requires policies involving both effective and efficient national research; therefore, the need for an integrated policy direction conveying science and technology and other related sectors, such as the health sector and food, remains vital.

Previously, science and technology policy planning in Indonesia was not equipped with data and indicators of success, having no target to achieve within a five-year period. In the coming periods, science and technology policy documents in Indonesia are issued in the form of government regulations/presidential decrees, including indicators of science and technology achievements (quantitatively) for five years.