By Susann Wagenknecht, Nancy J. Nersessian, Hanne Andersen
The e-book examines the rising process of utilizing qualitative equipment, similar to interviews and box observations, within the philosophy of technological know-how. Qualitative equipment are rising in popularity between philosophers of technology as an increasing number of students are resorting to empirical paintings of their examine of clinical practices. even as, the implications produced via empirical paintings are rather varied from these received during the form of introspective conceptual research extra common of philosophy. This quantity explores the advantages and demanding situations of an empirical philosophy of technology and addresses questions similar to: What do philosophers achieve from empirical paintings? How can empirical study support to strengthen philosophical strategies? How can we combine philosophical frameworks and empirical learn? What constraints can we settle for whilst making a choice on an empirical procedure? What constraints does a suggested theoretical concentration impose on empirical paintings? 9 specialists speak about their innovations and empirical ends up in the chapters of this ebook with the purpose of delivering readers with a solution to those questions.
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Additional resources for Empirical philosophy of science : introducing qualitative methods into philosophy of science
Experimental/Correlational/Descriptive Statistical Analysis. That which is lost with qualitative analysis might be gained with explicitly quantitative approaches, and even more so approaches that incorporate controlled experimentation to inform scientific reasoning. The recent development of an “experimental philosophy” has largely been confined to the philosophy of mind. Contemporary work in experimental philosophy harnesses the methods of social science, especially psychology, to investigate and challenge prevailing assumptions in the context of philosophy of mind (Deutsch 2009; Knobe and Nichols 2013; Machery et al.
They did indeed keep relevant information about specific experiments in documents on their computers, but these were largely strings of numbers devoid of any comments or reflection. Thus there is still the problem that scientists engaged in real world contexts of practice might not offer the kinds of data we feel are important. There are constraints on top down analysis, that is, because the data might not be available to answer the questions we have. In terms of training, one can dabble a bit with qualitative analysis just as one can with historical analysis, to a degree that is not possible with experimental or quantitative approaches.
But on the contrary, the delineation of empirical from non-empirical questions is the most basic issue in play, for science as for an empirical philosophy of science. We do not have a formula for delineation of empirical from non-empirical questions, yet we can provide examples of delineating efforts and the outcomes of these efforts. To do so we draw from the history of efforts at delineation in the discipline of psychology, where the debate has been long and vigorous. As illustrations, we draw upon our own investigation that entails years of collecting and analyzing historical and ethnographic data to address philosophical questions about the nature of science practice in physics and in bioengineering science.