Summary: <p>This panel from our <a href="http://www.ssirdata.org">Do Good Data | Data on Purpose conference</a> features conference co-hosts Lucy Bernholz of <a href="https://pacscenter.stanford.edu">Stanford PACS</a> and Andrew Means of <a href="https://uptake.com">Uptake</a>, along with Stanford education professor Candace Thille, and Kristian Lum, lead statistician at the <a href="https://hrdag.org">Human Rights Data Analysis Group</a>. The discussion focuses on the advantages and drawbacks of using data to analyze social trends in areas including higher education and criminal justice.<br> <br> <img src="https://ssir.org/images/articles/CThille.jpg" alt="Thille" height="100" width="100" class="photo"> <img src="https://ssir.org/images/articles/Berholz.jpg" alt="Bernholz" height="100" width="100" class="photo"> <img src="https://ssir.org/images/articles/means_head_100_100_s_c1.jpg" alt="Means" height="100" width="100" class="photo"></p> <p>View the slides from this presentation <a href="http://www.ssirdata.org/wp-content/uploads/2017/01/DOP_DGD-2017_Day-2_Prediction-vs-Bias.pdf">here</a>.</p><br><a href="https://ssir.org/podcasts/entry/prediction_vs._bias_in_data_a_debate">https://ssir.org/podcasts/entry/prediction_vs._bias_in_data_a_debate</a>
