Social networks in R&D program evaluation

This paper introduces the social network methodology as a tool for evaluating important aspects of research and development (R&D) programs. It uses two detailed examples to illustrate the application of network concepts in program appraisal. By studying relationships, exchanges, network location and status, network structure and evolution, and participant characteristics and roles in the network, this approach provides a lens to important aspects of the longer-lasting, more sustainable contributions of public policy in affecting organisational capabilities to innovate. A key challenge currently is the integration of social network analysis with causal empirical models and more traditional economic approaches geared to assessing the outputs and impacts of R&D.     

The advanced technology program, its evaluation plan, and progress in implementation

The Advanced Technology Program (ATP) partners with U.S. businesses in high-risk research to develop enabling technologies with strong potential for economic benefits to the nation. Universities, nonprofit research laboratories, and firms of all sizes participate in ATP-funded projects. ATP’s evaluation effort seeks not only to measure the impacts of the technology development projects it funds, but also to understand the underlying relationships among research, technological change, and economic impact, and to provide feedback to the program to increase its broad-based benefits. Evaluation activities encompass developing models, conducting surveys, compiling databases, conducting micro- and macro-economic case studies, and performing statistical and econometric analyses. Program metrics include private rates of return, social rates of return, and public rates of return—the social-rate-of-return component attributable to the ATP. Topics of special interest, in addition to performance metrics, include spillover pathways, benefits and costs of collaboration, financing issues, and new models of impact assessment.     

Neural networks in forensic science.

Neural networks were developed to study and mimic the functioning of the human brain. Humans are good at pattern recognition; the question is how good neural networks are at it, particularly with problems of forensic science interest. Simulation experiments with a type of neural network known as a Hopfield net indicate that it may have value for the storage of toolmark patterns (including bullet striation patterns) and for the subsequent retrieval of the matching pattern using another mark by the same tool for input. Another type of neural network, the back-propagation network (BPN), is useful for applications similar to those for which standard statistical methods of pattern classification can be used. This would be an appropriate approach to the matching of general component patterns, such as gas chromatograms of gasoline, or pyrolysis patterns from materials of forensic science interest, such as paint. The BPN may provide better results than statistical methods, but it is currently necessary to try both to determine which would be best for any given situation.     

Technological diversity,scientific excellence and the location of inventive activities abroad: the case of nanotechnology

Our contribution to the expanding literature on the globalization of research and innovation is to investigate the extent to which sector-specific developments in an emerging technology (such as increasing interdisciplinarity and complexity) affect inventive activities developed abroad. We look at how technological diversity and scientific excellence of host countries in the field of nanotechnology affect the development of inventive activities by US multinational companies (MNCs). We identify the most active US-based MNCs in nanotechnology-related patenting and examine location decisions of these companies and their international subsidiaries. Econometric results confirm our hypothesis that the technological breadth of host countries positively influences the expected number of inventions developed abroad by US MNCs. Science capabilities of countries also have a positive impact on the decision to invent abroad, while the influence of market specific factors is less clear. We interpret these results as suggesting that host country science capabilities are important to attract innovative activities by MNCs, but as the interdisciplinary and convergent nature of nanotechnology evolves, access to a broadly diversified knowledge base becomes important in increasing the relative attractiveness of host locations.

Technology transfer: A look at the federal sector

An important resource in the search for solutions to serious issues confronting the United States is the science and technology which result from Federally funded research and development. To obtain the optimum return on this significant investment requires that the resultant technology be adapted for secondary utilization and/or be transferred to primary and secondary users. This article describes the magnitude and scope of Federally sponsored research and development and describes the major Federal technology transfer efforts. While present technology transfer efforts, mostly passive, are necessary, there is need for more active methods. The Federal government is seeking ways to improve its technology transfer effort. General agreement on the following actions appears to exist: Stronger support by Federal research and development management, and increased commitment of personnel and funding to the Federal technology transfer effort.     

Detecting the emergence of technologies and the evolution and co-development trajectories in science (DETECTS): a ‘burst’ analysis-based approach

This work aims to detect the emergence of science and technology fields and to characterise science and technology trajectories. It proposes a new data mining approach, called ‘DETECTS’, for the identification of those research and innovative activities whose intensity increases sharply compared to previous levels and to other developments. This approach also allows monitoring the extent to which field and topic-specific activities further accelerate, stabilise or abate, and the time it takes for such dynamics to unfold. By applying the ‘DETECTS’ methodology on data from scientific publications and patents, this work sheds light on: the structure, articulation and relevance of the most important scientific and technological developments occurred during the period 1990–2011; the extent to which new fields arise from the cross-fertilisation of different technologies; the way in which advancements in science relate to technological progress; and the areas where future developments are likely to occur in the short and medium term. Results further suggest, somewhat unexpectedly, that in some focal technology fields considered, the acceleration in the development of science seems to closely follow the acceleration in the development of technologies, and not vice versa.     

Sea Grant — The MIT Sea Grant Marine Industry collegium: A partnership of industry,government and academia

The Collegium has fostered interaction and technology transfer between MIT and the Marine Industry for five years, resulting in early utilization of the fruits of marine research at MIT and valuable guidance for MIT Sea Grant in addressing needs of industry. For maximum technology transfer to take place effectively in an academic/industry program, a number of conditions have to be met. This paper discusses three of the most important conditions. First, industry people must be aware of the interests and research capabilities of the faculty and of the resources available to the university. Second, successful technology transfer is a person to person interaction between people of common interest and roughly equivalent technical background. Third, and very important, technology transfer is communication from the recipient, or user, to the source of technology. Along with these three conditions is the need for early involvement of industry and government user in the research activity. The Collegium is a unique arrangement to accomplish these conditions. This paper describes the program at MIT.     

The Indiana University Advanced Research and Technology Institute: A Case Study

The Indiana University Advanced Research and Technology Institute (ARTI) is the technology transfer organ of the Indiana University system. ARTIs structure is complex, and has been dynamic since its creation in 1996. This complexity stems in part from the diversity represented by the Indiana University system and from competing interests within the university itself. In addition to the intrinsic value of higher education, the university has the potential to add substantial value to Indianas economic landscape through technology transfer, economic development initiatives and the resulting job creation, but realizing that potential will require effectively leveraging a disconnected network including the IU campuses and critical capabilities contributed by the states other world class institutions. This paper reviews the formation of ARTI, a discussion of its structure and evolving mission, recent initiatives and some possible metrics for technology transfer initiatives.     

科技法律责任的特性与制度优化

科学技术在为人类社会带来便利的同时也带来了许多科技风险.在风险社会中完善的科技法律责任对科技社会法律治理、科技法律体系化建设、传统法律责任体系突破、科技强国建设以及科学技术标准化发展都具有重要意义.通过对中国现有主要科技基本法律文本的分析,可以看出中国现行科技法律责任体现为三大传统法律责任的综合,且其中行政法律责任占据...     

Rediscovering artificial intelligence and law: an inadequate jurisprudence?

Headlines suggesting that Google scientists had developed the first computer programme capable of learning a wide variety of tasks independently, in what has been hailed as a significant step towards ‘true artificial intelligence’¹1 Accessed February 26, 2015. http://www.theguardian.com/technology/2015/feb/25/google-develops-computer-program-capable-of-learning-tasks-independently. may or may not presage a new era of artificial intelligence (AI) research. Nevertheless, they suggest a need to reconsider the story of AI in law. While significant changes have taken place in the application of information technology to law-work, these have resulted mainly from ordinary information technology processes such as data processing, data storage, retrieval and management in combination with the information rich, rapid and global communication and networking capabilities of the Internet. However, when information technology has been applied to deeper legal processes, which involve the very nature of law, the result has not been very successful. This is especially so in relation to the application of AI systems to law. Philip Leith blamed the meagre and unsatisfactory results of costly AI and law research on faulty jurisprudence and especially on almost exclusive reliance on analytical positivism and ignorance of user needs and requirements. Many involved with AI and law still refuse to acknowledge that there are underlying problems with the way they conceptualise the nature of legal reasoning. Does AI in law have a future then? This article explores recent nuanced approaches to AI and law research and suggests the need for rethinking the jurisprudence that underpins AI and law and in particular to consider the realist social economic and political context in which AI and law works.     

From the Field to the Courthouse: Should Social Science Research Be Privileged?

Social scientists need clarification about the extent to which the confidential aspects of their research are protected from compulsory disclosure in legal proceedings, and the extent to which they ought to be. Investigating the nature of social science research with an emphasis on researcher-participant relationships in ethnographic practice, I conclude that a qualified privilege would confer three major benefits on social science researchers: confidence that the government will not unnecessarily interfere with research, facilitation of improved researcher-participant relationships, and increased accuracy, thoroughness, and reliability of research data. I also discuss the development of privilege and confidentiality issues in practical research contexts through an examination of two criminal cases in which social science researchers refused to divulge the confidential information obtained in the course of research. Finally, I discuss the possible formulations of a scholarly research privilege. This is especially important because courts have cast social scientists as members of the larger community of academic or scholarly researchers with respect to these issues. Potential sources of protection include state journalist protection laws, federal common law, and federal statutory law. Evaluation of these sources and the case law to which they correspond suggests that developing common law privileges in state and federal jurisprudence is the most promising means of affording the confidential aspects of social science research legal protection. As researchers continue to press privilege     

事件相关电位的测谎与反测谎研究进展

基于成熟的脑科学研究的事件相关电位（ERPs）发展而来的认知脑电测谎技术是利用认知神经科学的原理开发的新兴测谎技术。近年来，认知脑电测谎技术越来越得到法庭科学界的认可。其主要基于CIT测谎原理，采用以CTP为基础的诸多方式，在脑电测谎比对指标的选取等方面均有诸多研究。本文针对ERP测谎基础原理、范式与万法、提高测谎的准确性与抗干扰性等方面的研究进展进行综述，希望能对ERP测谎技术的进…步研究和应州所借鉴、     

A new perspective to explore the technology transfer efficiencies in US universities

Universities play a critical role in the complex technology transfer process that facilitates technology transformation from pure research activities to commercialization. The literature has recently focused on whether universities are efficient in this process. With a two-stage perspective, this study explores the required capabilities for universities to be efficient in technology transfer process. To explore the efficiencies in different stages of technology transfer, we apply a 2-stage process DEA method. The model considers 2 inputs, 2 intermediate variables, and 3 output variables from the Association of University Technology Management database. These variables represent funding resource, patenting activities, and licensing and entrepreneurships. Technology transfer in the 2-stage perspective includes the research innovation stage and the value creation stage. The results show that achieving efficiency in the 2 technology-transfer stages requires many different innovation capabilities; thus, most efficient universities only perform efficiently in one of the two stages. When mapping the relative site of universities in the reference network, we found that efficient universities in the research innovation stage are in a more centralized location than those in the value creation stage. By contrast, in the value creation stage, efficient universities can be identified as different reference groups for specific inefficient universities. The network visualization also helps to explain that universities must consider their relative advantages and capabilities to reach efficiency goals in different stages. The comparison between the large-scale group and the small-scale group also showed that a resource scale is critical for universities to accumulate different required capabilities for efficiencies in both stages.     

略谈知识经济

本文以我们所面临的知识经济时代为背景,对知识经济的含义、特点进行了的论述。并就中国在知识经济时代应关注的焦点——科技和教育阐述了自己的观点,认为应振兴中国科技和教育、提高全民素质,推动社会文明发展以顺应知识经济时代。     

Technological Transfers from the European Space Programs: A Dynamic View and Comparison with Other R&D Projects

This article presents the results and lessons learned from a series of studies carried out by the BETA research team (University Louis Pasteur of Strasbourg, France) to measure the spin-offs and technological transfers that resulted from European space programs. Beyond the quantitative results that are analyzed in detail, the article examines some of the main qualitative characteristics that shape the technology transfer process generated by these programs. In particular, it is demonstrated that three main characteristics have a significant impact on the technology transfer process: the nature of the technologies at stake (their degree of maturity, their degree of diversity, the extent to which they are generic or specific), the nature of the network of participants to the programs (the degree of mutual trust, the existence of absorptive capabilities) and the nature of the organizational structure of those firms which participated in the projects (their degree of decentralization, their degree of vertical integration).The article concludes by discussing how these lessons learned could be used to shape the procurement policies to be followed by space agencies in order to favor a high potential for technological transfers arising from future space projects.     

Dynamics of collaboration in university–industry partnerships: do initial conditions explain development patterns?

The aim of this paper is to investigate how research partnerships between firms and universities emerge and evolve over time, focusing on the relationship between initial conditions and development trajectories. Based on literature on alliances and a comparative case study, the paper presents propositions to explore the links between initial conditions, modes of collaboration and development pathways. The empirical study indicates that there is no straightforward link between initial conditions and development of partnerships over time. Being embedded in a network makes it easier to form relationships and has a positive influence of the early, set-up phase of collaboration, but has limited impact on long term development of partnerships. The data also illustrates the weak side of networks; they are efficient mechanism for forming relationships but in some cases represent weak commitment to partnerships over time, leading to low or symbolic firm involvement and high firm exit rates.     

The future of forensic and crime scene science. Part II. A UK perspective on forensic science education

This paper builds on the views presented by the author at 'The Future of Forensic and Crime Scene Science Conference'. Forensic science has become an increasingly prominent area of science within the last 10 years. This increasing prominence together with popularity in the subject has seen the number of undergraduate students studying forensic science related courses at UK Universities increase rapidly in just 5 years and there are no short term signs of this trend reducing. In 2005, there were 450 courses with forensic in the title offered by higher education institutes. Although the forensic community has expressed its concern that job prospects for these students wishing to pursue careers as forensic scientists will be limited numbers of students undertaking science courses have still increased. The increase in students studying forensic science comes in an era of decreasing science numbers in higher education with the potential to produce high calibre science graduates with sought after skills in critical thinking, analysis, interpretation and communication. Technology has continued to advance at a similar pace providing those responsible for managing crime with a need and opportunity to identify and predict new and future applications of science and technology; not just in reducing and detecting crime but also in predicting how technology will be used by criminals in the future. There is therefore a need for forensic science users, providers and educators to identify the knowledge and skills required by forensic scientists and crime investigators of the future to ensure that technology continues to be used and applied to its full advantage. This provides universities an opportunity to contribute to the development of both the practice and practitioners of forensic science. This paper outlines the current issues facing universities in relation to forensic science and identifies their future role in providing high quality relevant courses for future forensic practitioners; developing current forensic practitioners through their participation in applied research, short courses, conferences and qualifications linked to professional practice; and supporting and developing the practice of forensic and crime scene science, through the identification, engagement and dissemination of pure and applied research.     

浅论提升吉林省科技创新能力

党的十八大报告指出：科技创新是提高社会生产力和综合国力的战略支撑,必须摆在国家发展全局的核心位置.同样,提高科技创新能力也是促进区域经济可持续发展的重要动力源泉.目前,吉林省正处经济转型发展的关键时期,因此,加大政府对科技创新的支持力度、充分发挥企业自主创新的主体作用、建立产学研合作体系等是提升吉林省科技创新能力的重要途径.     

The ParaDNA® Screening System — A case study in bringing forensic R&D to market

The creation of new technologies and their application to forensic science is key to the field's development. Rapid DNA profiling is one such area of research which has grown in response to a desire from enforcement authorities for in-house forensic DNA processing and rapid access to forensic genetic intelligence. However, introducing novel technologies into the forensics market must be carefully monitored and controlled as the success or failure of any technology ultimately has long standing implications for victims, suspects, and also to Police and forensic practitioners. This article outlines the research, development, validation and implementation of the ParaDNA® Screening System as a case study in taking forensic research and development to market.