Benoît Godin

Measurement and Statistics on Science and Technology

1920 to the Present

• Broschiertes Buch

Produktbeschreibung

How do we objectively measure scientific activities? What proportion of economic activities should a society devote to research and development? How can public-sector and private-sector research best be directed to achieve social goals? Governments and researchers from industrial countries have been measuring science and technology for more than eighty years. This book provides the first comprehensive account of the attempts to measure science and technology activities in Western countries and the successes and shortcomings of statistical systems. Godin guides readers through the historical moments that led to the development of statistics on science and technology and also examines the socio-political dynamics behind social measurement. This enlightening account will be of interest to students and academics investigating science measurement as well as policy makers working in this burgeoning field.

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Produktdetails

• Verlag: Routledge
• Seitenzahl: 386
• Erscheinungstermin: 12. September 2012
• Englisch
• Abmessung: 234mm x 156mm x 21mm
• Gewicht: 585g
• ISBN-13: 9780415649995
• ISBN-10: 0415649994
• Artikelnr.: 36541379

Autorenporträt

Benoît Godin is a professor at INRS in Montreal, Canada. He holds a Dphil in science policy from Sussex (UK) University and has written extensively on science policy, research evaluation and science indicators.

Inhaltsangabe

Introduction. Part One: Constructing Science and Technology Statistics.
Section One: The Number Makers 1. Seventy Years of Science and Technology
Statistics 2. Taking Demand Seriously: Nesti and the Role of National
Statisticians Section Two: Defining Science and Technology 3. Is Research
Always Systematic 4. Neglected Scientific Activities: The (Non) Measurement
of Related Scientific Activities 5. What's So Difficult About International
Statistics? Unesco and the Measurement of Scientific and Technological
Activities Section Three: Imagining New Measurements 6. The Emergence of
Science and Technology Indicators: Why did Governments Supplement
Statistics with the Indicators 7. Measuring Output: When Economics Drives
Science and Technology Measurement 8. The Rise of Innovation Surveys:
Measuring a Fuzzy Concept Section Four: Dealing with Methodological
Problems 9. Metadata: How Footnotes make for Doubtful Numbers Science and
Technology Statistical Classifications 10. Tradition and Innovation: The
Historical Contingency of Science and Technology Statistical
Classifications Part Two: Using Science and Technology Statistics 11. The
Most Cherished Indictor: Gross Domestic Expenditures on R&D (Gerd) 12.
Technological Gaps: Between Quantitative Evidence and Qualitative Arguments
13. Highly Qualified Personnel: Should we Really Believe in Shortages? 14.
Is There Basic Research Without Statistics? 15. Are Statistics Really
Useful? Myths and Politics of Science and Technology Indicators