Philosophy of Data Science | S01 E04 | Values and Subjectivity in Data Science

<p>Philosophy of Data Science Series</p> <p>Session 1: Scientific Reasoning for Practical Data Science</p> <p>Episode 4: Values and Subjectivity in Data Science</p> <p> </p> <p>The Value-Free Ideal is a central tenant of objective science. But how do values, value judgements, and subjectivity leak into the practice of data science and statistics. To what extent is it desirable for science to be informed by values? Kevin Zollman (Carnegie Mellon University) covers the range of key ideas, from Heather E. Douglas to W.E.B. du Bois.</p> <p> </p> <p>Watch it on...</p> <p>YouTube: https://youtu.be/9USkWtX-ydc</p> <p>Podbean: https://podofasclepius.podbean.com/e/philosophy-of-data-science-s01-e04-values-and-subjectivity-in-data-science/</p> <p> </p> <p>You can join our mail list at: https://www.podofasclepius.com/mail-list</p> <p> </p> <p>We're always happy to hear your feedback and ideas - just post it in the YouTube comment section to start a conversation.</p> <p> </p> <p>Thank you for your time and support of the series!</p> <p> </p> <p>0:00 Intro</p> <p>0:03 Welcome Kevin Zollman (Carnegie Mellon University)!</p> <p>1:44 Is Science Value-Free?</p> <p>6:08 How might values affect science?</p> <p>9:00 Choice of Research Problem</p> <p>10:45 Loss Functions</p> <p>18:34 Choice of Variables</p> <p>24:10 Choice of Statistical Model</p> <p>29:30 Minimizing the Values in Science (W.E.B. du Bois)</p> <p>35:20 Philosopher in Science</p> <p>41:20 Statements on Generalizability</p> <p>47:45 Clarifying Subjective Choices</p> <p>52:45 Conflicts between Scientific Disciplines</p> <p>61:18 Scientific Value Judgments & Self Correcting Science</p> <p>67:50 Choice in Metrics and Research Focus</p> <p>70:30 Concluding Ideas</p>