• Indigenous peoples respond in diverse ways to genome science projects depending on the particular questions being asked, and the methods and histories of those fields. Increasingly, they resist scientific inquiry that they view as in conflict with their values. In the U.S. and Canada, our research sites, indigenes are regulating research, making property claims on scientific data, and requiring certain benefits in return for granting researchers access to their communities. Native American tribes show interest in initiating/funding genomic research in order to directly bolster their intellectual and governance capacities. Tribes also emphasize and fund training in science and technology fields as a capacity-building strategy that they see as necessary for self-governance and community flourishing. Accordingly, Native Americans and Canadian First Nation individuals enter technoscientific fields in order to support indigenous self governance.
  • This project will make use of computer simulation techniques to understand how different ways that scientists make day to day choices might influence the ability of the community of scientists to succeed in learning about the world. Through decades of careful study, we now have a deeper understanding of the various factors that influence choices and beliefs of scientists. While we now understand the causes of scientists' behavior better, we do not have a very detailed understanding how science as a whole is influenced by the small scale choices of individual scientists. Here are some questions of that sort that need to be addressed. Does misconduct on the part of a few scientists have a effect on the reliability of science as a whole? If scientists are motivated by particular political ends, does this color the output of their research?
    (tags: science sts nsf)
  • This project will examine closely the interplay between the theoretical, experimental, and normative elements involved in the process of clarifying data for scientific modeling. Scientific models form the basis of scientific understanding and interaction with the world. Since the targets of scientific modeling activity are initially ill-defined phenomena, it is crucial to determine how phenomena are clarified and stabilized in a scientific inquiry. That process involves settling the distinction between genuine information and noise so as to identify intrinsic features and the relevant parameters that produce those features. It has received little philosophical attention in the literature, though it is a crucial stage of scientific activity
    (tags: science nsf)
  • High-resolution wall-size digital displays present significant new and different visual space to show and see imagery. The author… has noted some unique design considerations for creating effective visual images when they are spread across entire walls. The author suggests these "frameless" screens – where images are so large we need to look around to see the entire field – need different ways of thinking about image design and visualization. Presenting such things as scale and detail take on new meaning when they can be displayed life-size and not shown in the context of one or many small frames such as we see everywhere. These design ideas will be of use for pervasive computing, interface research and design, interactive design, control design, representations of massive data sets, and creating effective displays of data for research and education.