Alex S. Taylor, Nir Piterman, Samin Ishtiaq, Jasmin Fisher, Byron Cook, Caitlin Cockerton, Sam Bourton, and David Benque
Representing a new class of tool for biological modeling, Bio Model Analyzer (BMA) uses sophisticated computational techniques to determine stabilization in cellular networks. This paper presents designs aimed at easing the problems that can arise when such techniques -distinct approaches to conceptualizing networks - are applied in biology. The work also engages with more fundamental issues being discussed in the philosophy of science and science studies. It shows how scientific ways of knowing are constituted in routine interactions with tools like BMA, where the emphasis is on the practical business at hand, even when seemingly deep conceptual problems exist. For design, this perspective refigures the frictions raised when computation is used to model biology. Rather than obstacles, they can be seen as opportunities for opening up different ways of knowing.
|Published in||Proceedings of the SIGCHI Conference on Human Factors in Computing Systems|
|Address||New York, NY, USA|
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. DIS 2012, June 11-15, 2012, Newcastle, UK. Copyright 2012 ACM 978-1-4503-1210-3/12/06...$10.00.