Mapping Science and Technology: Dams, Breaches and Bridges
Monica Salazar reviews the current state of science and technology studies
Mapping Science and Technology Studies: Dams, Breaches and Bridges
Monica Salazar
CPROST, SFU
There is no simple
way to map the field of Science and Technology Studies (S&TS). One
could identify different points of entry. For instance, there is a disciplinary
approach (e.g. sociology, history, philosophy, economics). There are
also distinctive bodies of literature studying various phases of technological
development (e.g. design, construction, production, diffusion, impact,
perception). A different focus is looking at the role that technology
plays in society (i.e. shaping, shaped by, or co-production). Finally,
the field can be organized into three major areas: qualitative studies
(usually under the ‘science, technology and society’ label), quantitative
studies (i.e. scientometrics), and policy-oriented studies (what could
be named ‘science and technology policy). The purpose of this paper
will be to focus on the latter categorization, with special attention
to the relationship (i.e. divide) between studies on ‘Science, Technology
and Society’ (STS) and ‘Science and Technology Policy’ (STP).
STS is a contested
acronym: some understand it as ‘science and technology studies’,
while other see it as ‘science, technology and society’ or, ‘science and technology in
society’, or even ‘social studies of science and technology’.
For this paper STS stands for “Science, Technology and Society”
emphasizing the societal aspects of scientific and technological development.
Concerns about S&T
were born out of World War II, when people recognized the complex and
problematic - sometimes undesirable - relationships between power and
science. STS emerged clearly in the late 1960s as a social movement,
along with other social upheavals that appeared then (e.g. environmental
and feminist groupsconsciousness). Because of its origins, early studies
in STS were largely critical of S&T developments and often tried
to propose ways to control S&T. By the 1980s, STS had evolved into
an academic field. At this early stage, it was mainly focused on knowledge
creation and tended to neglect policy and control issues.
The Dams
Traditionally, STS
scholars have had strong roots in their mother disciplines. The most
influential of these have been: history, philosophy and sociology. Although
these ties have weakened over the time, the disciplinary divide is still
there; a truly interdisciplinary status is still yet to be achieved.
Susan Cozzens affirms that “while disciplines are still very much
in evidence in this research community, there is no one-to-one correspondence
between the topics studied and the traditional disciplines. Nonetheless,
the disciplines continue to play a strong role in STS. Most people who
study S&T still do so within a single discipline” (Cozzens, 2001:
57).
Science and Technology
Policy (STP) was established as an area of government intervention in
the immediate aftermath of WW II. Since then, the focus of STP has evolved
, both from a theoretical and practical point of view. The study of
science policy in the western world which began in earnest during the
1940s, had its main area of intervention and action not only regarding
science but, later, during the late 1960s, technology emerged more clearly
as an area of concern. This was partly due to budgetary constraints
since, governments needed to be more efficient in the allocation of
resources and also and to ameliorate the impact of S&T on
the overall economy and society. In the 1980s, there was a shift
of focus to innovation policy. Some analysts see the emergence of innovation
as a particular field within science and technology studies as a breaking
point, a change of paradigm. The evolution of STP can be explained mainly
by political and economic factors, strongly related to the world economy.
Biegelbauer and Borrás (2003) also mention that changes in STP are
due to the notorious acceleration of innovation processes and the changing
nature of the state. Further, social and environmental concerns have
also played a role in shifting emphases.
The study and practice
of science and technology policy has been traditionally divided between
promotion and control. From a disciplinary perspective, promotion has
been influenced by economics and management theory. However, control
has evolved in a highly practical manner, with negligible influence
received from the social sciences. One of the main criticisms directed
at STP studies, especially in the field of promotion, is its lack of
a critical stand-point towards scientific and technological development.
The Breaches
Some authors (i.e.
Spiegel-Rosing, 1977; Teich, 2001) argue that there is a divide between
social and policy studies within the field of science and technology.
While others (i.e. Williams & Edge, 1996) affirm that some streams
of STS studies, especially social shaping of technology, have been concerned
with technology policy. It also can be argued that these academic communities
are quite differentiated, with very little overlap. Nonetheless, this
does not mean STS scholars have not influenced policy design. It does
however suggest that policy design is not their main concern; while
science and technology policy (STP) researchers do seek to affect policy
directly.
Ina Spiegel-Rosing
argued that the traditional divorce between STS studies and STP studies
can be attributed to several factors. These include their disciplinary
origins, their major sources of research questions, their divergent
emphasis between either a cognitive or operational framework of study,
and finally, their focus on science or technology (Spiegel-Rosing, 1977:
17). 30 years after Spiegel-Rosing wrote this commentary, her
views are still applicable. She stated that STS scholars have strong
roots on their mother disciplines, thus implying that they have different
intellectual traditions. STP, though is less fragmented, has mainly
evolved from political science and economics.
Regarding scientometrics,
Spiegel-Rosing made a clear differentiation. In her words:
“Scientometrics
is not characterized by its focus on particular problem areas but by
its methodology, that is the use of quantitative indicators of the structure
and development of science in order to decide the basic regularities
of their functioning and direction. Scientometrics covers traditional
research areas of both STS and STP, and the fact that the data produced
is relevant to both fields. At least in this sense, in this sense, can
be said that scientometrics mediate between the two.” (Spiegel-Rosing,
1977: 18-19).
Latour (1987) acknowledges
that one of the limitations of S&T studies, that hinder its impact,
is its organization by discipline and by object. That would not be a
problem, if it was the result of specialization growing from a core
set of problems and methods, but as Latour concludes, that is far from
the case.
STS in its early years
was mainly concerned with the study of science while neglecting technology.
Even today, technology is considered a ‘minor’ subject of inquiry.
The split between science and technology has characterized academic
research, and in a lesser extent has been maintained in government circles.
When STS became an academic field, its research problems focused on
understanding how science functions and how knowledge is created. Meanwhile,
STP became more concerned with governance, direction and promotion in
the real world of S&T. Though, the former became concerned with
the cognitive aspect of S&T , and the latter with operational problems.
Peter Van Den Besselaar
(2000, 2001) has undertaken several studies to analyze the relationships
between these scholarly communities. He divides the field of science
and technology studies in the same way we did at the beginning of this
paper: scientometrics (or quantitative STS), qualitative STS, and policy-oriented
S&T studies. He found that these three sub-fields are differentiated
from a cognitive point of view , and the relations among them are as
follows:
• None of the indicators used showed any interaction between qualitative STS and policy-oriented STS.
• There is a one way relation between qualitative STS and quantitative STS, scientometrics does refer to qualitative STS on a regular basis and , the other way round is almost absentrare.
• The interaction between quantitative
and policy-oriented STS is more intimate and growing. This is the case
especially in regards to indicator studies and R&D performance evaluations
(Van Den Besselaar, 2000: 184; 2001: 442).
Van Den Besselaar also
found that there is not only cognitive differentiation (e.g. topics
studied, methods, co-citation) but also social and institutional differentiation.
He analyzed the most important journals in each sub-field, looking for
authors and research institutes that crossed borders. In other words,
he looked for those which published in more than one sub-field on a
regular basis. What he encountered was that there were very few authors
and organizations that had expertise in more than one area., and g His
second study confirmed the findings of the first one: reiterating that
there is very little social and cognitive relations between qualitative
and policy-oriented studies. He concluded that “no one STS field exists,
but at most several loosely related sub-fields studying the development
of S&T” (Van Den Besselaar, 2000: 175). He added that “if we
take these findings together, STS seems to split apart into two relatively
stable and coherent fields, the qualitative and the policy-oriented
studies, while the position of scientometrics is in between, but more
strongly linked with the policy-oriented studies" (Van Den Besselaar,
2000: 184).
Another difference
between STS and STP lies in their audiences. For STP it is clear: itstheir
audience is mostly policy makers and business people. Conversely, the
audience for STS is not as clear. Is it the academe or the general public?
It seems that they are not clearly defined for STS. Possibly its potential
audiences have been unreceptive since people in general, still might
tend to think about science as a neutral, value-free, objective activity.
as well as perceive technology in a deterministic way. Characteristics
which have been thoroughly refuted in many academic works.
The Bridges
By integrating different
bodies of literature, combining sociological and philosophical approaches
with economic and management perspectives, one can start to build a
bridge between STP and STS. Different lenses could provide us with a
comprehensive view of technical change and innovation and how to ‘direct’
their impacts upon society. We need to bring into the STS debate a set
of concepts from political economy and organizational analysis and ,
and suggest how pulling these concepts together could an provide a cogent
approach to analyzeing technology development (Klein & Kleinman,
2002). We also need to build a critical vision within STP, more vigourouslyvigorously
incorporating precautionary principles as well as and risk and technology
assessment.
Although, to date,
STS and STP have developed separately, building little or nothing on
one another, these two areas converge around very important issues.
Both recognize that technologies are embedded in social relations. To
use Sheila Jasanoff’s (2005) expression, technology and society are
‘co-produced’. Scholars in both areas of study have also recognized
that the process of technological development and innovation is full
of uncertainties which inevitably lead to a series of unintended consequences.
STS and STP studies
also have methodological problems, both areas of studies have various
streams that focus either on micro case studies or macro analysis while,
neglecting the meso level (Misa, 1994). The connections between the
meso level and the macro level of analysis have must to be worked out.
It seems easier to go downward (meso and micro linkages) than upward
(meso and macro connections). Several STS streams are emerging that
avoid the ends of the spectrum. Some of these emerging streams could
contribute to work on this meso level of analysis including approaches
such as the critical theory of technology (Andrew Feenberg’s),
critical theory of technology, Sheila Jasanoff’s co-production of
S&T and society and constructive or participatory technology assessment
(Arie Rip). On the STP side, there are also areas of study which could
be situated on the meso level of analysis (e.g. regional and sectoral
systems of innovation, innovation networks), thatthat are exploring
how social factors, such as communication, interaction, and social networks,
influence technological change.
STS approaches have
focused mainly on individual technologies and technological systems
but not on innovation systems and networks. However, technology usually
develops in larger structures and/or networks affected bywith the participation
of an array of actors such as firms, public organizations, and social
and legal institutions; through the importance of ‘system’ accounts.
. Innovation occurs in institutional, political and social contexts
and it is embedded in social relationships. Consequently, STS and STP
studies, if combined, should provide a more cogent view of technological
development.
References
Biegelbauer, P., & Borrás, S. (2003). Introduction: Ideas and transition from technology to innovation policy. In P. Biegelbauer & S. Borrás (Eds.), Innovation Policies in Europe and the US: The New Agenda (pp. 1-15). Aldershot, Hampshire, England; Burlington, VT: Ashgate.
Cozzens, S. (2001). Making disciplines disappear in STS. In S. Cutcliffe & C. Mitcham (Eds.), Visions of STS: Counterpoints in Science, Technology, and Society Studies (pp. 51-64). Albany: State University of New York Press.
Jasanoff, S. (2004). The idiom of co-production. In S. Jasanoff (Ed.), States of knowledge: the co-production of science and social order (pp. 1-12). New York, London: Routledge.
Klein, H. K., & Kleinman, D. L. (2002). The social construction of technology: Structural considerations. Science, Technology and Human Values, 27(1), 28-52.
Latour, B. (1987). Science in action: How to follow scientists and engineers through society. Cambridge, Mass.: Harvard University Press.
Metcalfe, S. (2000). Science policy and technology policy in a competitive economy. In C. Edquist & M. McKelvey (Eds.), Systems of Innovation: Growth, Competitiveness and Employment (pp. 403420). Cheltenham (UK), Northampton (USA): Elgar Reference Collection.
Misa, T. J. (1994). Retrieving sociotechnical change from technological determinism. In M. R. Smith & L. Marx (Eds.), Does Technology Drives History? - The Dilemma of Technological Determinism (pp. 115-141). Cambridge (MA), London: MIT Press.
Rip, A. (2001). Assessing the impacts of innovation: New developments in technology assessment. In OECD (Ed.), Social Sciences and Innovation (pp. 197-213). Paris: OECD.
Spiegel-Rosing, I. (1977). The study of Science, Technology and Society (STSS): Recent trends and future challenges. In I. Spiegel-Rosing, D. Price & International Council for Science Policy Studies (Eds.), Science, technology, and society: a cross-disciplinary perspective (pp. 7-42). London; Beverly Hills: SAGE Publications.
Teich, A. (2001). STS from a policy perspective. In S. Cutcliffe & C. Mitcham (Eds.), Visions of STS: Counterpoints in Science, Technology, and Society Studies (pp. 99-107). Albany: State University of New York Press.
Van Den Besselaar, P. (2000). Communication between science and technology studies journals: A case study in differentiation and integration in scientific fields. Scientometrics, 47(2), 169-193.
Van Den Besselaar, P. (2001). The cognitive and the social structure of STS. Scientometrics, 51(2), 441-460.Williams, R., & Edge, D. (1996). The social shaping of technology. Research Policy, 25, 856-899.
Williams, R., & Edge, D. (1996). The social shaping of technology. Research Policy, 25, 856-899.