Abstract
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 - \'14using distinct approaches to conceptualizing networks\'14 - 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.
Original language | English |
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Title of host publication | Conference on Human Factors in Computing Systems - Proceedings |
Publisher | Association for Computing Machinery |
Pages | 493-502 |
Number of pages | 10 |
DOIs | |
Publication status | Published - Apr 2013 |
Event | 2013 ACM SIGCHI Conference on Human Factors in Computing Systems : Changing Perspectives - Palais de Congrès de Paris, Paris, France Duration: 27 Apr 2013 → 2 May 2013 https://chi2013.acm.org |
Conference
Conference | 2013 ACM SIGCHI Conference on Human Factors in Computing Systems |
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Abbreviated title | CHI 2013 |
Country/Territory | France |
City | Paris |
Period | 27/04/13 → 2/05/13 |
Internet address |