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<p>Below is information about a very interesting Data Science talk
happening this Tuesday at 11am at the MRB seminar room.</p>
<p>V. Tsotras<br>
</p>
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<td>Prof. Fei Fang (CMU) giving talk "Challenges in Machine
Learning and Game Theory for Social Impact" @ MRB Lecture
room on Tuesday 6/14 at 11am</td>
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<td>Sun, 12 Jun 2022 16:15:01 -0700</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
<td>Vagelis Papalexakis <a class="moz-txt-link-rfc2396E" href="mailto:epapalex@cs.ucr.edu"><epapalex@cs.ucr.edu></a></td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">To: </th>
<td><a class="moz-txt-link-abbreviated" href="mailto:coeprofs@engr.ucr.edu">coeprofs@engr.ucr.edu</a>, CS - Faculty
<a class="moz-txt-link-rfc2396E" href="mailto:csfaculty@cs.ucr.edu"><csfaculty@cs.ucr.edu></a>, <a class="moz-txt-link-abbreviated" href="mailto:csgrads@cs.ucr.edu">csgrads@cs.ucr.edu</a></td>
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<div class="">Hi everyone,</div>
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<div class="">Prof. Fei Fang from CMU (<a
href="https://feifang.info/" class="" moz-do-not-send="true">https://feifang.info/</a>)
will be visiting on Tuesday 6/14 and will be giving a talk at <b
class="">11am @ MRB 1st floor lecture room</b></div>
<div class="">We will also try also broadcast the talk via Zoom -
please send me an email individually for the Zoom link.</div>
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<div class="">You can find more information about the talk below.
Please feel free to forward to folks who may be interested in
attending,</div>
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<div dir="auto" style="border-color: rgb(0, 0, 0);" class=""><b
class="">Title</b>: Challenges in Machine Learning and Game
Theory for Social Impact</div>
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<div dir="auto" style="border-color: rgb(0, 0, 0);" class=""><b
class="">Abstract</b>: Many real-world challenges we face
involve multiple self-interested decision-makers who interact
with each other in an environment full of uncertainty. This
talk covers our work on machine learning and game theory that
can be used to tackle such challenges in security,
environmental sustainability, and food security domains. One
of our early works has been deployed by the US Coast Guard for
protecting the Staten Island Ferry in New York City since
April 2013. Another work has led to the deployment of PAWS
(Protection Assistant for Wildlife Security) in multiple
conservation areas around the world, which provides predictive
and prescriptive analysis for anti-poaching efforts. In
addition, our recent work has been used by 412 Food Rescue, a
non-profit volunteer-based food rescue platform to improve
their operational efficiency. The talk will also cover some of
our attempts in addressing the fundamental challenges at the
intersection of machine learning and game theory. </div>
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<div>Vagelis Papalexakis</div>
<div>Associate Professor</div>
<div>Computer Science & Engineering</div>
<div>University of California Riverside</div>
<div><a href="http://www.cs.ucr.edu/~epapalex" class=""
moz-do-not-send="true">http://www.cs.ucr.edu/~epapalex</a> </div>
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