Abstract:
This dissertation addresses how information technology (IT) affects science, and
the resulting implications for investments in IT and in research. The dissertation reviews
relevant science policy literature and literature on the effects of information technology,
and then examines in detail the applications of IT in the geosciences and biosciences. The
dissertation develops models of the effects of advances in IT on the productivity, quality,
and impact of science. It then tests this model though three case studies of malaria research,
earthquake research, and Chesapeake Bay research.
The research found there to be a significant impact of IT on science in all of the
fields studied. IT affects science not just through improving efficiency but primarily
through enabling new types of research. Some of the most significant effects include a
huge increase in the productivity of data collection and the availability of data, an increased
ability to deal with complexity, the development of fundamentally new approaches to
research, and the expansion of collaboration in both geographic and disciplinary
dimensions. IT helps to enable researchers to address some of the complex problems that
are most important to society, and provides tools for communicating with users and
stakeholders of science, increasing the impact of science. Although IT was found to
influence all of the fields studied, there are also substantial differences among the fields,
due both to the nature of the science and the organizational and cultural history of the
fields.
Measurement difficulties do not allow one to determine whether there is under- or
over-investment in IT for science, but, based on the magnitude of past impact, continued
investment in IT for science appears prudent. Because some IT used in science is highly
generic while other IT is specific to certain types of science or specific fields, it is
suggested that there be multiple sources of funding for these different categories.
