Competing in a Global Innovation Economy

by The Expert Panel on the State of Science and Technology and Industrial Research and Development in Canada

2018 · Council of Canadian Academies

Competing in a global innovation eConomy: the Current State of r&D in CanaDa Expert Panel on the State of Science and Technology and Industrial Research and Development in Canada Science Advice in the Public Interest COMPETING IN A GLOBAL INNOVATION ECONOMY: THE CURRENT STATE OF R&D IN CANADA Expert Panel on the State of Science and Technology and Industrial Research and Development in Canada ii C [...] Any opinions, findings, or conclusions expressed in this publication are those of the authors, the Expert Panel on the State of Science and Technology and Industrial Research and Development in Canada, and do not necessarily represent the views of their organizations of affiliation or employment, or the sponsoring organization, Innovation, Science and Economic Development Canada. [...] I'd also like to thank the CCA's Board of Directors, its Scientific Advisory Committee, and its three x Competing in a Global Innovation Economy: The Current State of R&D in Canada Member Academies - the Royal Society of Canada, the Canadian Academy of Engineering, and the Canadian Academy of Health Sciences - who continue to provide the wisdom, advice, and expert knowledge that helps keep the CCA [...] This includes all three members of the Tri-Agency (the Natural Sciences and Engineering Research Council, the Social Sciences and Humanities Research Council, and the Canadian Institutes for Health Research), the National Research Council of Canada, the Canada Foundation for Innovation, and the Federation of the Humanities and Social Sciences. [...] The current Expert Panel (the Panel) was tasked with considering the combined charges from the 2012 and 2013 assessments, consisting of the following questions: What is the current state of science and technology and industrial research and development in Canada?

Measuring the 21st Century Science and Engineering Workforce Population

by National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Committee on National Statistics, Panel to Evaluate the National Center for Science and Engineering Statistics Approach to Measuring the Science and Engineering Workforce

2018 · National Academies Press

The National Science Foundation's National Center for Science and Engineering Statistics (NCSES), one of the nation's principal statistical agencies, is charged to collect, acquire, analyze, report, and disseminate statistical data related to the science and engineering enterprise in the United States and other nations that is relevant and useful to practitioners, researchers, policymakers, and to the public. NCSES data, based primarily on several flagship surveys, have become the major evidence base for American science and technology policy, and the agency is well respected globally for these data. This report assesses and provides guidance on NCSES's approach to measuring the science and engineering workforce population in the United States. It also proposes a framework for measuring the science and engineering workforce in the next decade and beyond, with flexibility to examine emerging issues related to this unique population while at the same time allowing for stability in the estimation of key trends

Federal Statistics, Multiple Data Sources, and Privacy Protection

by National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Committee on National Statistics, Panel on Improving Federal Statistics for Policy and Social Science Research Using Multiple Data Sources and State-of-the-Art Estimation Methods

2018 · National Academies Press

The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey paradigm that underlies federal statistics. New data sources provide opportunities to develop a new paradigm that can improve timeliness, geographic or subpopulation detail, and statistical efficiency. It also has the potential to reduce the costs of producing federal statistics. The panel's first report described federal statistical agencies' current paradigm, which relies heavily on sample surveys for producing national statistics, and challenges agencies are facing; the legal frameworks and mechanisms for protecting the privacy and confidentiality of statistical data and for providing researchers access to data, and challenges to those frameworks and mechanisms; and statistical agencies access to alternative sources of data. The panel recommended a new approach for federal statistical programs that would combine diverse data sources from government and private sector sources and the creation of a new entity that would provide the foundational elements needed for this new approach, including legal authority to access data and protect privacy. This second of the panel's two reports builds on the analysis, conclusions, and recommendations in the first one. This report assesses alternative methods for implementing a new approach that would combine diverse data sources from government and private sector sources, including describing statistical models for combining data from multiple sources; examining statistical and computer science approaches that foster privacy protections; evaluating frameworks for assessing the quality and utility of alternative data sources; and various models for implementing the recommended new entity. Together, the two reports offer ideas and recommendations to help federal statistical agencies examine and evaluate data from alternative sources and then combine them as appropriate to provide the country with more timely, actionable, and useful information for policy makers, businesses, and individuals.

Reengineering the Census Bureau's Annual Economic Surveys

by National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Committee on National Statistics, Panel on Reengineering the Census Bureau's Annual Economic Surveys

2018 · National Academies Press

The U.S. Census Bureau maintains an important portfolio of economic statistics programs, including quinquennial economic censuses, annual economic surveys, and quarterly and monthly indicator surveys. Government, corporate, and academic users rely on the data to understand the complexity and dynamism of the U.S. economy. Historically, the Bureau's economic statistics programs developed sector by sector (e.g., separate surveys of manufacturing, retail trade, and wholesale trade), and they continue to operate largely independently. Consequently, inconsistencies in questionnaire content, sample and survey design, and survey operations make the data not only more difficult to use, but also more costly to collect and process and more burdensome to the business community than they could be. This report reviews the Census Bureau's annual economic surveys. Specifically, it examines the design, operations, and products of 11 surveys and makes recommendations to enable them to better answer questions about the evolving economy.