ABSTRACT

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.

chapter |11 pages

Introduction

part I|183 pages

Constructing science and technology statistics

chapter Section I|84 pages

The number makers

chapter 2|8 pages

Taking demand seriously

NESTI and the role of national statisticians

chapter 3|15 pages

Is research always systematic?

chapter 4|18 pages

Neglected scientific activities

The (non-)measurement of related scientific activities

chapter 5|13 pages

What's so difficult about international statistics?

UNESCO and the measurement of scientific and technological activities

chapter Section III|52 pages

Imagining new measurements

chapter 6|15 pages

The emergence of science and technology indicators

Why did governments supplement statistics with indicators?

chapter 7|18 pages

Measuring output

When economics drives science and technology measurement

chapter 8|17 pages

The rise of innovation surveys

Measuring a fuzzy concept

chapter Section IV|41 pages

Dealing with methodological problems

chapter 9|25 pages

Metadata

How footnotes make for doubtful numbers

chapter 10|14 pages

Tradition and innovation

The historical contingency of science and technology statistical classifications

part II|127 pages

Using science and technology statistics

chapter 11|17 pages

The most cherished indicator

Gross Domestic Expenditures on R&D (GERD)

chapter 12|21 pages

Technological gaps

Between quantitative evidence and qualitative arguments

chapter 13|23 pages

Highly qualified personnel

Should we really believe in shortages?

chapter 14|25 pages

Is there basic research without statistics?

chapter 15|27 pages

Are statistics really useful?

Myths and politics of science and technology indicators

chapter |10 pages

Conclusion