Marcel C. LaFollette
2. Some personal observations about the assumptions that appeared to
underpin the discussions.
3. A suggestion and comments on how social science research might be
organized for future research on knowledge networking.
On the second day of the workshop, I asked as many of the participants as
possible the following question: "If you could have one project done, one
type of research, in addition to your own work, what would it be, or what
questions or issues might it address?"
My co-organizer, Terry Smith, and I have folded many of these responses
into our general report on the workshop, but here are the answers as I
wrote them in my notes, in no particular order and without attribution to
speaker. (Given the interesting array of the responses, it makes me wish
that we had done this as a more "formal" exercise.)
a. "What are the implications of knowledge networking research (or this
way of organizing research) for open science and open scholarship?"
b. "What might be the effect of knowledge networking on those not
traditionally on the network?" (There was an additional reference by the
speaker to the study conducted by Jim Katz, suggesting that it would be
interesting also to examine the effect on those who have "dropped out" of
Internet us.)
c. "What sort of [organizational] environments should we design for doing
interdisciplinary work, for sharing ideas, for interdisciplinary
activity?"
d. "Integrate historical data for use in hypothesis testing and research
on the 'here and now'. If we had these cases in one place, would we see
some discernable pattern, some questions that might flow from them and
help us predict?"
e. "What sort of historical-sociological framework (model) might be
developed from knowledge networking in the future? There are 'disparate
data bases' (e.g, in how data are organized, in accessibility of
data)--how might a set of case studies be developed from them?
f. "Take some interdisciplinary projects that worked (or didn't work),
then disaggregate them, reverse engineer them."
g. "More study of failures and anomalies."
h. "What are the incentives structures to participate in knowledge
networking--and how are they likely to be changing as the knowledge
networking concept develops?"
i. "What types of pricing [structures or models] are likely to emerge in
Knowledge Networks and with what effect?"
j. "What would be the nature of the efficient subsidies for public
funding of Knowledge Networking and its development?"
k. "As new and important roles emerge within large knowledge networking
projects, how will they challenge existing power structures and lines of
authority?"
l. "As new and important roles emerge within large knowledge networking
projects, will they require new skills? if so, what? will they require a
new articulation of old norms or development of new ones?"
m. "What makes [research] collaborations fail? [On the basis of what we
know about such failures], what conditions should be set for knowledge
networking collaborations?"
n. "What is the relationship between knowledge and responsibility?" "How
are the criteria for responsibility set?"
o. "What alters in a knowledge network?"
p. "How will people who engage in interdisciplinary knowledge networking
projects get credit and reward in 'realtime' organizations?"
During the plane trip home, as I reflected on the workshop discussions, I
realized that we had all seemed to be making unchallenged assertions or
appeared to be holding certain "default assumptions" about the nature or
future development of knowledge networking and that these underlying
assumption probably influenced the suggestions made. As we point out in
the full workshop report, the history of technology has demonstrated that
early assumptions, even by experts, about the exact nature of the adoption
or adaptation of new communications technologies have not always been
correct (Claude Fischer's _America Calling: A Social History of the
Telephone to 1940_ describes one of many such examples). And so it may be
worthwhile to look more closely at some of these assumptions.
Here is the list that I made. Others may have observed additional default
assumptions.
Which of these are supportable? And which may be, in fact, testable
hypotheses?
a. The workshop discussants appeared to assume that potential users of
(and participants in) knowledge networks will not be scientists alone.
This is interesting in view of the assumptions that have been made in the
past about who would be using computer networks. Initially, there was an
assumption that the users would primarily be scientists; later, the users
were largely imagined as being in some type of educational or research
organization.
b. We all seemed to assume that the future participants in knowledge
networks will be diverse (in disciplinary specialties, work ethic,
cultural norms, economic background, and so forth) rather than homogenous.
That is, there was an assumption that knowledge networks might not cluster
around participants and organizations with like values, like world-views.
etc., or tend to grow homogenous over time (as some research in psychology
suggests that they might).
c. There was an assumption that users' lack of familiarity with complex
techniques and technologies would produce additional ambiguity in how they
participated in knowledge networking, and that increasing familiarity or
skills would reduce ambiguity.
d. In contrast to assumption b, however, we did seem to assume
(pragmatically?) that the interests of users (both individual users and
organizations) are likely to differ and that such differences may produce
conflict. Such conflicts of interest may be economic, but may also be
social, political, cultural, and normal.
e. We all seemed to assume that introduction of knowledge networking
techniques and organization, as outlined by the National Science
Foundation, will change scientific research. However, workshop
participants seemed less certain about exactly HOW it would change: they
pointed out only a few likely aspects, most of which were quite broad,
such as in research processes or research management. Clearly, this is a
question that could be explored in further detail.
f. Within the breakout group on "leisure", there seemed to be significant
concern about the longterm effect of the permeability in the borders
between uses of electronic communication networks, about the continuous
merging of work and play (as professional work is "interleaved" with
activities such as computer games). Policy issues such as the controversy
over moral standards for Internet content will have an effect on
research-related content. We appeared to be assuming that this
permeability was increasing the level of ambiguity (in standards, tasking,
etc.) and that the permeability of borders would be significant in some
way to understanding knowledge networking. But how?
g. A number of assumptions about knowledge networks themselves seemed to
be implicit in the discussions:
-- that knowledge networking nodes will be spatially and temporally
distributed;
-- that such spatial and temporal distribution will influence the
success (and efficiency?) of knowledge networking;
-- that knowledge networks will be immense, complex, synergistic,
evolving collaborative ventures;
-- that most knowledge networks are likely to be hierarchically
organized, but that not all will be; and
-- that knowledge networks will have "a succession of one or more
purposes" and that those differences in goals will significantly impact
outcomes.
h. There was also an assumption that the organizational contexts for
knowledge networking are changing, within the universities as well as in
all of society and that these changes will influence successful
implementation of the concept. For example, if there are more
cross-institutional relationships, and more "mixed and uneven" technical
environments in which these cross-institutional relationships are
emerging, then that could, in turn, lead to significant inequities or
problems of interoperability.
3. A SUGGESTION FOR ORGANIZING THE SOCIAL SCIENCE RESPONSE
Based on what I learned from the Santa Barbara Workshop (and, in part, an
answer to my own "priority-setting" question), I believe strongly that NSF
should consider organizing its social science research effort to
coordinate very closely with the engineering and computer science research
on knowledge networking.
Moreover, NSF should take the lead in actively encouraging all the social
sciences to work together to develop a rapid response template for
application to emerging knowledge networks, and should enable such
development through targeted funding. There should be a strategic plan
for organizing interdisciplinary teams to collect data on the
establishment and work of knowledge networks which could be rapidly fed
back into management and development of those networks. There should also
be concurrent creation of an open database to facilitate future
cross-disciplinary study of complex knowledge organizations.
This program should incorporate two aspects:
These centers would be poised to arrange immediately for data
collection as research projects are approved and funded by NSF
(or by other organizations linked to NSF knowledge networks).
All the centers would receive some type of baseline funding which
would allow staff to collect data on existing knowledge networks,
to monitor emerging networks, and to assist other social science
group wishing to carry out research using the knowledge
networking concept. Centers could apply for project funding
related to specific opportunities.
(b) Multi-year funding of social science projects focused on
specific broadscale aspects of knowledge networks (e.g., on
psychology and innovation, on ethics and policy issues, on
economic and management issues).
This differs from the conventional model of a social science
"add-on" to technical science and engineering projects, as has
been tried for the study of ethical issues. Neither such
add-ons nor continued reliance on investigator-initiated projects
in the social sciences is likely to provide data useful for
understanding the broad-scale notion of coordinated knowledge
networks.
NSF -- with the active participation of the larger community of social
scientists -- should develop a plan for directed social science research
in service of national needs, and develop clear policies for what data
should be collected, how such data should be collected, and how it should
be shared.
As a researcher, writer, and journal editor who has participated in the
development of the social studies of science, its organizations and its
publications, I urge the science studies community to participate
vigorously in these discussions and I believe that their input can be
useful. Planning, funding, and discussion must engage the attention of ALL
social scientists, however. To confine the effort within the "science
studies" community would be counterproductive to national needs and to the
broadscale application of computer and "knowledge" networking.
To enhance the relevance of such strategic funding, there should be
interlinked and interactive external advisory committees, which are
coordinated either through the professional organizations in the social
sciences (such as the Federation for Behavioral, Cognitive, and
Psychological Sciences) or through the National Academy of Sciences, and
to which participants in the NSF-funded knowledge networking projects are
required to provide feedback.
There should also be explicit interagency communication about this effort
from the onset, both for development of a shared resource base relating to
existing projects and for avoiding (or, as appropriate, building upon)
duplication with information research funded by other federal agencies.
In addition to applying social science expertise more directly to a
specific national need, this approach would help to stimulate research
techniques directly related to information technologies and to link
together user research, research on education and training, and
communications research, among others, which has traditionally developed
along separate lines and with little incentive or encouragement for
cross-fertilization.
As the discussions at all three "knowledge networking" workshops have
shown unambiguously, the major concerns related to knowledge networking
and to the development of computer networking generally, in all sectors
and in all disciplines, are ones which naturally fall within the topics
explored by the social sciences.
The technology can be built. It is the operators of the technology who
appear to worry us.
The technology can be applied. It is how such application will affect the
quality of human life which concerns us.
A mature and coordinated approach by all the social sciences is
appropriate and essential.
Research Professor of International Science and Technology Policy,
Elliott School of International Affairs,
The George Washington University,
and
Editor, SCIENCE COMMUNICATION
My appended comment has three parts:
1. My notes from the workshop with participants' answers to a question
about "priority-setting" for knowledge networking.
1. PRIORITY-SETTING
(a) One or more research centers established or designated
especially to conduct and/or coordinate such research.
In all cases, the data on knowledge networking collected with NSF funding
should be open, perhaps deposited electronically. There should be an
understanding from the beginning that all data will be shared as soon as
feasible with other researchers (some of whom may be themselves
independently funded investigators looking at specific questions).