Buch, Englisch, 384 Seiten, Format (B × H): 238 mm x 157 mm, Gewicht: 735 g
Reihe: Routledge Studies in the History of Science, Technology and Medicine
1920 to the Present
Buch, Englisch, 384 Seiten, Format (B × H): 238 mm x 157 mm, Gewicht: 735 g
Reihe: Routledge Studies in the History of Science, Technology and Medicine
ISBN: 978-0-415-34104-2
Verlag: Taylor & Francis
Zielgruppe
Postgraduate and Professional
Autoren/Hrsg.
Fachgebiete
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
- Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines Wissenschaftspolitik, Wissenschaftsförderung
- Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines Geschichte der Naturwissenschaften, Formalen Wissenschaften & Technik
- Sozialwissenschaften Politikwissenschaft Regierungspolitik Kultur-, Wissenschafts- & Technologiepolitik
- Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines Geschichte der Human- und Sozialwissenschaften
Weitere Infos & Material
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