<div dir="ltr"><div class="gmail_default" style="font-family:tahoma,sans-serif;font-size:large">Most appropriate topic </div><div class="gmail_default" style="font-family:tahoma,sans-serif;font-size:large"><br></div><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div>George Duncan</div><div>Emeritus Professor of Statistics, Carnegie Mellon University<br><a href="http://georgeduncanart.com/" target="_blank">georgeduncanart.com</a></div><div>See posts on Facebook, Twitter, and Instagram</div>
<div>Land: (505) 983-6895 <br></div><div>Mobile: (505) 469-4671</div>
<div> <br>My art theme: Dynamic exposition of the tension between matrix order and luminous chaos.<br></div><div><br></div><div><h1 style="letter-spacing:-0.02em;margin:0px"><font size="2" face="arial, helvetica, sans-serif" style="font-weight:normal">"Attempt what is not certain. Certainty may or may not come later. It may then be a valuable delusion."</font></h1><div><span style="font-size:small;letter-spacing:-0.02em;line-height:1.125em"><font face="arial, helvetica, sans-serif">From "Notes to myself on beginning a painting" by Richard Diebenkorn. </font></span></div><table width="85%" style="color:rgb(93,86,81);font-family:Helvetica;font-size:18px;margin:auto;border-collapse:collapse!important"><tbody><tr><td style="text-align:center"><p style="margin-top:4px;margin-bottom:12px"><font size="2">"It's that knife-edge of uncertainty where we come alive to our truest power." Joanna Macy.</font></p></td></tr><tr><td valign="top" style="font-size:13px;text-transform:uppercase"><p style="margin-top:0px;margin-bottom:27px;color:rgb(146,146,146);text-align:center"><br></p></td></tr></tbody></table></div></div></div></div></div></div></div></div></div></div></div><br><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">---------- Forwarded message ---------<br>From: <strong class="gmail_sendername" dir="auto">Michelle E Wirtz</strong> <span dir="auto"><<a href="mailto:mwirtz@andrew.cmu.edu">mwirtz@andrew.cmu.edu</a>></span><br>Date: Mon, May 4, 2020 at 6:29 AM<br>Subject: Thesis Proposal - Dylan Fitzpatrick - Today - Monday, May 4 at 9am - via Zoom<br>To: <a href="mailto:heinz-faculty@lists.andrew.cmu.edu">heinz-faculty@lists.andrew.cmu.edu</a> <<a href="mailto:heinz-faculty@lists.andrew.cmu.edu">heinz-faculty@lists.andrew.cmu.edu</a>>, <a href="mailto:heinz-phd@lists.andrew.cmu.edu">heinz-phd@lists.andrew.cmu.edu</a> <<a href="mailto:heinz-phd@lists.andrew.cmu.edu">heinz-phd@lists.andrew.cmu.edu</a>>, Daniel Neill <<a href="mailto:daniel.neill@nyu.edu">daniel.neill@nyu.edu</a>>, Roni Rosenfeld <<a href="mailto:Roni.Rosenfeld@cs.cmu.edu">Roni.Rosenfeld@cs.cmu.edu</a>><br>Cc: Diane L Stidle <<a href="mailto:stidle@andrew.cmu.edu">stidle@andrew.cmu.edu</a>><br></div><br><br>
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<p class="MsoNormal"><i><span style="color:#7030a0">Friendly reminder – <u></u><u></u></span></i></p>
<p class="MsoNormal"><span style="color:#1f497d"><u></u> <u></u></span></p>
<p class="MsoNormal">Hi all,<u></u><u></u></p>
<p class="MsoNormal">Please join us today, Monday, May 4, 2020 via Zoom at 9am when Dylan Fitzpatrick will be presenting his thesis proposal.<u></u><u></u></p>
<p class="MsoNormal" style="margin-bottom:12.0pt"><b>Title:</b> Predicting Health and Safety: Essays in Machine Learning for Decision Support in the Public Sector<b><u></u><u></u></b></p>
<p class="MsoNormal"><b>Thesis committee: </b>Daniel Neill, Rayid Ghani, Wilpen Gorr, Roni Rosenfeld<span style="color:black"><u></u><u></u></span></p>
<p class="MsoNormal" style="text-autospace:none"><b><span style="color:#1f497d"><u></u> <u></u></span></b></p>
<p class="MsoNormal"><b>Zoom Link:</b><u></u><u></u></p>
<p class="MsoNormal"><a href="https://cmu.zoom.us/j/95758239810?pwd=RmhFL1hDY3pYUzJTWC9GMzBCdndnUT09" target="_blank">https://cmu.zoom.us/j/95758239810?pwd=RmhFL1hDY3pYUzJTWC9GMzBCdndnUT09</a><u></u><u></u></p>
<p class="MsoNormal" style="margin-bottom:12.0pt"><b>Meeting ID:</b> <span style="font-family:"Calibri",sans-serif">
957 5823 9810</span><br>
<b>Password:</b> 032643<u></u><u></u></p>
<p class="MsoNormal"><b>Abstract: </b>Public service agencies are increasingly turning to machine learning techniques for support in settings where accurate predictions or characterization of patterns in spatiotemporal data can improve social conditions. This
thesis presents three case studies in which we propose novel methods to inform operational decisions in the domains of public health and safety.<br>
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First, we present a subset scan approach for detecting localized and irregularly shaped anomalous patterns in spatial data. The proposed method iterates between a penalized fast subset scan and a kernel support vector machine classifier to accurately detect
spatial clusters without imposing hard constraints on the shape or size of the anomalous pattern. We demonstrate the performance of this approach in simulated experiments and on the real-world applications of disease outbreak detection, crime hot-spot detection,
and pothole cluster detection.<br>
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Second, we leverage prescription drug monitoring data to assess risk of opioid misuse based on individual-level opioid timelines. We introduce a shape-based clustering framework to evaluate risk of misuse in new individuals when patient outcomes are unknown.
We also develop a new method for semi-supervised learning with recurrent generative adversarial networks, designed to assess risk of opioid misuse in new patients when labeled instances of unsafe drug use are available but sparse. <br>
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Last, we discuss the design, implementation, and evaluation of a hot-spot-based predictive policing program in Pittsburgh, PA, highlighting results from a randomized field trial. We find statistically and practically significant reductions in violent crime
counts within treated hot spots, and find minimal evidence of crime displacement to other areas resulting from increased patrols to treated areas.
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<p class="MsoNormal"><b>Link to paper: </b><a href="https://www.dropbox.com/s/h6l151fs7k8uzf5/Fitzpatrick_proposal.pdf?dl=0" target="_blank">https://www.dropbox.com/s/h6l151fs7k8uzf5/Fitzpatrick_proposal.pdf?dl=0</a><u></u><u></u></p>
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