Godin B. "Measurement and Statistics on Science and Technology: 1920 to the Present" published by Routledge, London, Series on Studies in the History of Science, Technology and Medicine

[Eugene Garfield]

Benoît Godin
Professeur, INRS
(514) 499 4074

benoit.godin at inrs-ucs.uquebec.ca
Canadian Science and Innovation Indicators Consortium
http://www.csiic.ca/
Project on the history and sociology of S&T Statistics
www.csiic.ca/Pubs_histoire.html


Dear Colleagues,

I have the pleasure to inform you that "Measurement and Statistics on
Science and Technology: 1920 to the Present" by Benoît Godin has been
published by Routledge, London, Series on Studies in the History of Science,
Technology and Medicine.

B. Godin (INRS, Montreal) has written extensively on this topic for the last
five years (see http://www.csiic.ca/Pubs_Histoire.html).

Contents:
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

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

For further details, please, refer to the following url:
http://www.csiic.ca/Pubs_Histoire.html