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THE COMPUTATIONAL SOCIAL SCIENCE WORKSHOP PRESENTS</h3>
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ANDRES GOMEZ</h1>
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POSTDOCTORAL FELLOW AT THE GROWTH LAB, CENTER FOR INTERNATIONAL DEVELOPMENT</h3>
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HARVARD UNIVERSITY</h3>
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The<span class="Apple-converted-space"> </span><a href="https://macss.uchicago.edu/content/computation-workshop" style="box-sizing: border-box; background-color: transparent; color: rgb(66, 139, 202); text-decoration-line: none; transition: all 0.125s ease-in-out 0s;">Computational
Social Science Workshop<span class="Apple-converted-space"> </span></a>at the University of Chicago cordially invites you to attend this week’s talk:</p>
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<a href="https://github.com/uchicago-computation-workshop/andres_gomez/blob/master/2018__gomez__prevalence_scaling_and_variance_of_urban_phenomena.pdf" style="box-sizing: border-box; background-color: transparent; color: rgb(66, 139, 202); text-decoration-line: none; transition: all 0.125s ease-in-out 0s;">CITIES,
COLLECTIVE KNOWHOW, AND ECONOMIC DEVELOPMENT</a></h2>
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<span style="box-sizing: border-box; font-weight: 700;">Abstract:</span><span class="Apple-converted-space"> </span>The challenges of economic development have typically been framed at the national level. However, cross-city differences in socioeconomic indicators
within countries are, in general, greater than the cross-country differences. Moreover, the majority of people today live in cities, and their urban milieu largely determines their welfare. Therefore, there is a strong motivation to have deep scientific understandings
of the underlying reasons for the differences across cities. In my research, the notion of “collective knowhow” is pivotal to understanding this problem, and the coupling of the fields of Urban Scaling, Economic Complexity, and Cultural Evolution is a necessary
step to develop a theory of collective knowhow and its connection to urban economic development. I will present some of my own efforts in addressing these challenges, and show (1) a parsimonious model to explain some of the differences across cities, and across
urban phenomena within cities, (2) ongoing work about a formalism to track and predict the accumulation of collective knowhow, and (3) an overview of projects where we have applied these insights to promote urban economic development in Colombian cities.</p>
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THURSDAY, 5/17/2018</h4>
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11:00AM-12:20PM</h4>
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KENT 120</h4>
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A light lunch will be provided by Papa Johns.</p>
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<span style="box-sizing: border-box; font-weight: 700;">Andres Gomez</span><span class="Apple-converted-space"> </span>is currently a postdoctoral fellow of the Growth Lab at the Center for International Development (CID) at Harvard University. Andres’ research
is centered at understanding what cities are, how they work, and how come we observe wide differences in socioeconomic well-being across them. He holds a Ph.D. in Applied Mathematics from Arizona State University, a M.S. in Industrial Engineering and an undergraduate
degree in Physics, both from La Universidad de los Andes. Since his doctoral studies, he has been part of the Cities, Scaling and Sustainability research group at the Santa Fe Institute. At CID, he is also part of the development team of the atlases of economic
complexity for Colombia and Mexico. He has professional experience in the financial sector and public sector consulting.</p>
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The 2017-2018<span class="Apple-converted-space"> </span><a href="https://macss.uchicago.edu/content/computation-workshop" style="box-sizing: border-box; background-color: transparent; color: rgb(66, 139, 202); text-decoration-line: none; transition: all 0.125s ease-in-out 0s;">Computational
Social Science Workshop<span class="Apple-converted-space"> </span></a>meets each Thursday from 11 a.m. to 12:20 p.m. in Kent 120. All interested faculty and graduate students are welcome.</p>
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Students in the Masters of Computational Social Science program are expected to attend and join the discussion by posting a comment on the<span class="Apple-converted-space"> </span><a href="https://github.com/uchicago-computation-workshop/andres_gomez/issues" style="box-sizing: border-box; background-color: transparent; color: rgb(66, 139, 202); text-decoration-line: none; transition: all 0.125s ease-in-out 0s;">issues
page<span class="Apple-converted-space"> </span></a>of the<span class="Apple-converted-space"> </span><a href="https://github.com/uchicago-computation-workshop/andres_gomez" style="box-sizing: border-box; background-color: transparent; color: rgb(66, 139, 202); text-decoration-line: none; transition: all 0.125s ease-in-out 0s;">workshop’s
public repository on GitHub.</a><span class="Apple-converted-space"> </span>Further instructions are documented in the Computational Social Science Workshop’s<span class="Apple-converted-space"> </span><a href="https://github.com/uchicago-computation-workshop/README" style="box-sizing: border-box; background-color: transparent; color: rgb(66, 139, 202); text-decoration-line: none; transition: all 0.125s ease-in-out 0s;">README
on Github.</a></p>
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