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---
layout: default
---
<!-- Banner -->
<section id="banner">
<!--
".inner" is set up as an inline-block so it automatically expands
in both directions to fit whatever's inside it. This means it won't
automatically wrap lines, so be sure to use line breaks where
appropriate (<br />).
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<div class="inner">
<header>
<h2>Urban Data Science Lab, Texas A&M </h2>
</header>
<p>Urban Data Science Lab is part of the <a href="https://geosat.tamu.edu/">Texas A&M Center for Geospatial Sciences, Applications, and Technology (GeoSAT).</a>
Our lab focuses on the convergence of computational science and urban science towards intelligent, resilient, and sustainable built environment</p>
<footer>
<ul class="buttons stacked">
<li><a href="#main" class="button fit scrolly">Tell Me More</a></li>
</ul>
</footer>
</div>
</section>
<!-- Main -->
<article id="main">
<header class="special container">
<span class="icon solid fa-chart-bar"></span>
<h2>Join us</h2>
</header>
<!-- One -->
<section class="wrapper style2 container special-alt">
<div class="row gtr-50">
<div >
<header>
<h2>
<strong>Seeking PhD students</strong></h2>
</header>
<p>We are seeking outstanding students for PhD Graduate Assistantship positions in Urban Computing. The successful candidate will be enrolled in Doctor of Philosophy Program in Urban and Regional Science.
The students will work on several federal projects on disaster science and urban informatics with a group of collaborators from urban planning, civil engineering, computer science, geography, and sociology.
<br />
Applicants should have experience in urban big data analytics on one or more of the following methodological fronts: natural language processing, network science, computer vision, geospatial artificial intelligence, urban simulation, or any innovative method.
<br />
The program has strong ties to the world-renowned Hazard Reduction & Recovery Center, Texas A&M Transportation Institute, the Center for Health Systems & Design, Texas A&M Institute of Data Science, and other centers. Support for collaborative and innovative research is excellent.
<br />
Please contact Professor Xinyue Ye at xinyue.ye@tamu.edu for more information.</p>
<footer>
<ul class="buttons">
<li><a href="https://www.arch.tamu.edu/academics/graduate-programs/ph-d-in-urban-regional-sciences/" class="button">Find Out More</a></li>
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</footer>
</div>
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<li><span class="icon fa-clock"><span class="label">Feature 1</span></span></li>
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</section>
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<!-- <section>-->
<!-- <span class="icon solid featured fa-check"></span>-->
<!-- <header>-->
<!-- <h3>This is Something</h3>-->
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<!-- <h3>Also Something</h3>-->
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<!-- <h3>Probably Something</h3>-->
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<section id="projects" class="wrapper style3 container special">
<header class="major">
<h2>Projects</h2>
</header>
<div class="row">
<div class="col-6 col-12-narrower">
<section>
<a href="https://woffee.github.io/dsl-fr-docs/" class="image featured"><img src="https://woffee.github.io/dsl-fr-docs/assets/images/demo4.png" alt="" /></a>
<header>
<h3>DSL-FR</h3>
</header>
<p>DSL-FR(Domain Specific Language for Flooding Resilience) is a programming language designed to bridge the gap between domain scientists and programmers, make it easier to write high readability code for image processing tasks.</p>
</section>
</div>
<div class="col-6 col-12-narrower">
<section>
<a href="https://github.com/UrbanDS/Evaluating-the-effect-of-city-lockdown" class="image featured"><img src="https://github.com/UrbanDS/Evaluating-the-effect-of-city-lockdown/raw/master/lockdownEva.png" alt="" /></a>
<header>
<h3>lockdownEva</h3>
</header>
<p>Evaluating the effect of city lockdown.</p>
</section>
</div>
<div class="col-6 col-12-narrower">
<section>
<a href="https://github.com/UrbanDS/GIS-KG" class="image featured"><img src="https://github.com/UrbanDS/gisbok/raw/master/gis-graph.jpg" alt="" /></a>
<header>
<h3>GIS-KG</h3>
</header>
<p>Building A Large-Scale Hierarchical Knowledge Graph for Geographic Information Science and Technology</p>
</section>
</div>
<div class="col-6 col-12-narrower">
<section>
<a href="https://www.tandfonline.com/doi/full/10.1080/13658816.2021.1981334" class="image featured"><img src="https://github.com/gladcolor/Tagme_pyQt/raw/master/images/UI.jpg" alt="" /></a>
<header>
<h3>First-Floor-Elevation</h3>
</header>
<p>Detect the First Floor Elevation based on street view images</p>
</section>
</div>
<div class="col-6 col-12-narrower">
<section>
<a href="https://www.collaborativegeodecisions.net/" class="image featured"><img src="/images/covid19reserchpapers.jpeg" alt="" /></a>
<header>
<h3>OKN</h3>
</header>
<p>This project will advance research critical to the development of open knowledge networks (OKN) through the combination and testing of participatory and automated ontology development processes. Three domain-specific case studies (wildland fire, water quality, and biodiversity conservation) will build on participatory Geographic Information System (GIS) and ontology development work through engagement of problem-focused stakeholder networks. At the same time, the utility of automated tools for resource discovery, ontology development, and social network analysis will be tested in these real-world problem environments. Through integration and comparison of these techniques, the project team will deliver insights into efficient and effective methods for OKN development.</p>
</section>
</div>
<div class="col-6 col-12-narrower">
<section>
<a href="https://github.com/drewdrop/Colocation-Index" class="image featured"><img src="/images/Colocation.png" alt="" /></a>
<header>
<h3>Colocation/Coagglomeration Index</h3>
</header>
<p>Industrial Colocation index is based on the researches of Billings and Johnson(2016) and Lu Chen et al.(2020). The index uses the longitude and latitude coordinates of enterprises to study the spatial group location rules among industries.
The program is based on the Wasserstein distance algorithm of machine learning, combined with Sinkhorn and entropy regularity optimization algorithm, to calculate the similarity of the two industries in the spatial distribution. Finally, we calculate the Colocation Index through Monte Carlo simulation and hypothesis test.</p>
</section>
</div>
<div class="col-6 col-12-narrower">
<section>
<a href="https://github.com/socialnetworktool/SocialNetworkSimulator" class="image featured"><img src="/images/socialnetwork.png" alt="social network" /></a>
<header>
<h3>SocialNetworkSimulator</h3>
</header>
<p>A software that enable spatio-temporal social network analysis and simulation</p>
</section>
</div>
<div class="col-6 col-12-narrower">
<section>
<a href="http://vis.cs.kent.edu/TrajAnalytics/" class="image featured"><img src="/images/trajanalytics.jpg" alt="rajAnalytics" /></a>
<header>
<h3>TrajAnalytics</h3>
</header>
<p>A Free Software for Visually Exploring Urban Trajectories</p>
</section>
</div>
<div class="col-6 col-12-narrower">
<section>
<a href="http://vis.cs.kent.edu/NeighborVis/" class="image featured"><img src="/images/neighborvis.png" alt="rajAnalytics" /></a>
<header>
<h3>NeighborVis</h3>
</header>
<p>A Visual Analytics System of Geospatial-Semantic Event Data in Localized Neighborhoods</p>
</section>
</div>
<div class="col-6 col-12-narrower">
<section>
<a href="http://vis.cs.kent.edu/GeoVisuals/" class="image featured"><img src="/images/geovisuals.png" alt="rajAnalytics" /></a>
<header>
<h3>GeoVisuals</h3>
</header>
<p>Capturing, Managing, and Utilizing GeoSpatial Multimedia Data for Collaborative Field Research</p>
</section>
</div>
<div class="col-6 col-12-narrower">
<section>
<a href="http://vis.cs.kent.edu/GeoVisuals/VisualCommunity.html" class="image featured"><img src="/images/VisualCommunity.png" alt="VisualCommunity" /></a>
<header>
<h3>VisualCommunity</h3>
</header>
<p>Data collection and visualization tool for gaining community knowledge from geo-encoded videos and narratives</p>
</section>
</div>
<div class="col-6 col-12-narrower">
<section>
<a href="https://github.com/dujiaxin/SparseTrajAnalytics" class="image featured"><img src="/images/sparsetraj.png" alt="sparsetraj" /></a>
<header>
<h3>SparseTrajAnalytics</h3>
</header>
<p>An Interactive Visual Analytics System for Sparse Trajectory Data</p>
</section>
</div>
<!-- <div class="col-6 col-12-narrower">-->
<!-- <section>-->
<!-- <a href="#" class="image featured"><img src="images/pic02.jpg" alt="" /></a>-->
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<!-- <h3>An Airport Terminal</h3>-->
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<!-- </section>-->
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</div>
<footer class="major">
<ul class="buttons">
<li><a href="#" class="button">See More</a></li>
</ul>
</footer>
</section>
<section id="news" class="wrapper style4 container">
<header class="major" style="text-align:center">
<h2>News</h2>
</header>
<!-- Content -->
<div class="content">
<section>
<ul id="news_list">
</ul>
</section>
</div>
</section>
</article>
<!-- CTA -->
<section id="outreach" class="wrapper style3 container special">
<header>
<h2>Outreach</h2>
<p></p>
</header>
<footer>
<ul class="buttons">
<li><a href="https://urbands.github.io/UDS-WG/" class="button primary">UDS-WG</a></li>
<li><a href="https://tamids.tamu.edu/2021/03/08/tds-seminar-series/" class="button primary">TD3S</a></li>
<li><a href="https://dal.tamids.tamu.edu/" class="button primary">urban AI lab</a></li>
</ul>
</footer>
</section>
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