ScienceDaily (Sep. 22, 2009) —
Profound discoveries and insights on the frontiers of science do not burst out
of thin air but often arise from incremental processes of weaving together
analogies, images, and simulations in a constrained fashion. In cutting-edge
science, problems are often ill-defined and experimental data are limited.
To develop an understanding of the system under investigation, scientists
build real-world models and make predictions with them. The models are tentative
at first, but over time they are revised and refined, and can lead the community
to novel problem solutions. Models, thus, play a big role in the creative
thinking processes of scientists.
Dr. Nancy J. Nersessian has studied the cognitive processes that underlie
scientific creativity by observing scientists at work in their laboratories. She
says, “Solving problems at the frontiers of science involves complex cognitive
processes. In reasoning with models, part of the process occurs in the mind and
part in the real-world manipulation of the model. The problem is not solved by
the scientist alone, but by the scientist – model combination. This is a
highly creative cognitive process.” Her research is published in an upcoming
issue of Topics in Cognitive Science.
Her study of the working methods of scientists helps in understanding how
class and instructional laboratory settings can be improved to foster
creativity, and how new teaching methods can be developed based on this
understanding. These methods will allow science students to master model-based
reasoning approaches to problem solving and open the field to many more who do
not think of themselves as traditional “scientists.”