The measurement of scientific, technological, and innovative activities (STI) in the economy is an increasing challenge faced by statistical agencies around the world. Measuring Science, Technology, and Innovation: A Review surveys the current state of the art including the concept of indicators, their quality and use, and a schematic model of the STI system that can identify gaps in the set of indicators commonly in use. The authors review the developments in STI measurement that have taken place in the rest of the world, particularly the widespread use of innovation surveys. The monograph concludes with a discussion of the measurement gaps and issues in the U.S., which we identify as innovation (especially in the service sector), non-R&D investment related to innovation, data timeliness, data linkages, measurement related to public policy goals, and the sources of capital for innovation.After an introduction, Section 2 summarizes the framework for analysis of the STI system that is most widely used by economists. Section 3 considers how the specific data currently collected by the U.S. government, and indicators constructed from those data, relate to the important concepts within the framework. Section 4 expands this discussion by reviewing data collected and indicators published by other countries and international organizations. Section 5 then turns to the issues of policy, and draws explicit connections between important policy questions and indicators, using the framework of Section 2. Section 6 builds on these discussions to highlight gaps and issues with the existing indicators, and Section 7 provides concluding comments.

Measuring Innovation is a major step towards evidence-based innovation policy making. It complements traditional “positioning”-type indicators with ones that show how innovation is, or could be, linked to policy.

Measuring innovation in education and understanding how it works is essential to improve the quality of the education sector. Monitoring systematically how pedagogical practices evolve would considerably increase the international education knowledge base. We need to examine whether, and how ...

What is innovation and how should it be measured? Understanding the scale of innovation activities, the characteristics of innovative firms and the internal and systemic factors that can influence innovation is a prerequisite for the pursuit and analysis of policies aimed at fostering innovation.

Because of the role of innovation as a driver of economic productivity and growth and as a mechanism for improving people's well-being in other ways, understanding the nature,determinants, and impacts of innovation has become increasingly important to policy makers. To be effective, investment in innovation requires this understanding, which, in turn, requires measurement of the underlying inputs and subsequent outcomes of innovation processes. In May 2016, at the request of the National Center for Science and Engineering Statistics of the National Science Foundation, the Committee on National Statistics of the National Academies of Sciences, Engineering, and Medicine convened a workshop - bringing together academic researchers, private and public sector experts, and representatives from public policy agencies - to develop strategies for broadening and modernizing innovation information systems.This publication summarizes the presentation and discussion of the event.

Providing nuanced insight into key areas of innovation studies, this erudite second edition acknowledges the significance of innovation within the informal economy. It contributes to the broader scholarly discourse on innovation indicators and measurement, exploring the nature and rate of recent developments within the field.