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<!DOCTYPE html>
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<title>Geography and Planning 377</title>
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GGR377 Spring 2020
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<i>Some links to readings are still being adjusted, and will be finalized soon.</i>
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<h3> Module 1: Introduction to Urban Data</h3>
<table>
<tr>
<td class="header">Date</td>
<td class="header">Lecture Slides</td>
<td class="header">Reading</td>
<td class="header">Assignment</td>
</tr>
<tr class="Tuesday">
<td>
Tuesday, January 21: Introduction to Urban Analytics*
</td><td>
<!-- <a href="https://docs.google.com/presentation/d/1EGFs_FAUGsfJuNElYKySFQle0Hv66SPfwG1TGCNW9Jc/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec01.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=kWejGQRvCME">Video</a> -->
</td><td>
<ol>
<li><p>Singleton, Spielman, and Folch (2018) Chapter 1, “Questioning the city through urban analytics”</p></li>
<li><a href="https://www.theatlantic.com/technology/archive/2018/06/satellite-images-can-harm-the-poorest-citizens/561920/">Kim, Annette. 2018. Satellite Images can Harm the Poorest Citizens</a></li>
<li><a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/Jan%2021%202020?preview=76451052">Optional: Hollands, Robert G. 2008. “Will the Real Smart City Please Stand up?: Intelligent, Progressive or Entrepreneurial?” City 12 (3): 303–20.</a></li>
</td><td>
<!-- <div><a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=materials/sp19/lab/lab01/lab01.ipynb">Lab 01: Expressions</a></div> -->
</td></tr>
<tr class="Thursday">
<td>
Thursday, January 23: Data Fundamentals for Planners*
</td>
<td>
<!-- <a href="https://docs.google.com/presentation/d/1OOXK0YqQJAoG4WG_t8AjQw0CrmVfKYkmcnQ1AaLp5xo/edit?usp=sharing">Slides</a>, <a href="https://www.youtube.com/watch?v=c4znkQij67g">Video</a> -->
</td>
<td>
<ol>
<li><p>Singleton, Spielman, and Folch (2018) Chapter 2, “Sensing the city”</p></li>
<li><a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/Jan%2023%202020?preview=76451054">Boyd, Danah, and Kate Crawford. 2012. “CRITICAL QUESTIONS FOR BIG DATA: Provocations for a Cultural, Technological, and Scholarly Phenomenon.” Information, Communication & Society 15 (5): 662–79.</a></li>
<li><a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/Jan%2023%202020?preview=76451117">Neruda, Pablo, and Margaret Sayers Peden. 1986. “Ode to Numbers.” The Massachusetts Review 27 (3/4): 464–66.</a></li>
<li><p>Wheelan (2013) Chapter 7, "The Importance of Data"</p></li>
</td><td>
<div><a href=https://bcourses.berkeley.edu/courses/1490576/files/folder/Labs/Lab%201%20-%20Introduction%20to%20Excel>Lab 1 (optional): Introduction to Excel</a></div>
</td></tr>
<tr class="tuesday">
<td>
Tuesday, January 28: Metadata: Understanding the US Census*
</td>
<td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td>
<td>
<ol>
<li><a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/January%2030?preview=76451053">Jurjevich et al. 2018. Navigating Statistical Uncertainty: How Urban and Regional Planners Understand and Work with American Community Survey (ACS) Data for Guiding Policy. Journal of the American Planning Association, 84(2), 112-126.</a></li>
<li><a href="https://bcourses.berkeley.edu/files/75495137/download?download_frd=1">B. Strasser and P. Edwards, “Big Data is the Answer… But What is the Question?” Osiris 32, 2017: pp. 328-345 </a></li>
<li><a href="http://www.nytimes.com/2015/06/11/opinion/the-myth-of-a-white-minority.html">Alba, Richard. 2015. “The Myth of a White Minority.” The New York Times, June 11. </a></li>
</ol></td>
<td>
<!-- <div>Lab 07: Bootstrap</div> -->
</td></tr>
<!-- </tr> -->
<tr class="thursday">
<td>
Thursday, January 30: Using Census Data</td><td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td><td>
<ol>
<li><a href="http://data.census.gov">Bureau, U. S. Census. 2020.</a></li>
<li><a href="http://www.socialexplorer.com/">Social Explorer. 2020. </a></li>
<li><a href="https://www.census.gov/content/dam/Census/library/publications/2009/acs/ACSResearch.pdf">U.S. Bureau of the Census, TO. 2009. “A Compass for Using and Understanding American Community Survey Data.” [for reference only] </a></li>
</ol></td>
<td>
<div><a href=https://bcourses.berkeley.edu/courses/1490576/files/folder/Labs/Lab%202%20-%20American%20FactFinder?preview=76451180>Lab 2: Using data.census.gov</a></div>
</td></tr>
<tr class="tuesday">
<td>
Tuesday, February 4: Stats and the American Community Survey
</td><td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td><td>
<ol>
<li><a href="...">Cochran, Abby. 2020. Stats for CP 101 (Video available soon on bcourses)</a></li>
<li><p>Singleton, Spielman, and Folch (2018) Chapter 6, “Explaining the city” </p></li>
<li><p>Wheelan (2013) Chapters 2, 3, & 4 "Descriptive Statistics,” "Descriptive Deception, "“The Central Limit Theorem”</p>
</ol></td>
<td>
</td></tr>
<tr class="thursday">
<td>
Thursday, February 6: Static Data Visualization
</td><td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td><td>
<ol>
<li><a href="...">Few (2012) Chapter 3 pg. 39-60 “Differing Roles of Tables and Graphs”, Chapter 4 pp. 53-60 “Fundamental Variations of Tables” Chapter 5 pg. 67-79 “Attributes of Pre-attentive Processing & “Applying Visual Attributes to Design”, Chapter 6 pg. 101-135 “Graph Design Solutions”, Chapter 11 pg. 257-270 “Displaying Many Variables at Once”, Chapter 13 pg. 295-306 “Telling Compelling Stories with Numbers”, Appendix A “Table and Graph Design at a Glance” pg. 309-310 [Lots of pictures, quick reading!]</a></li>
<li><p>Tufte, Edward R. 1983. The Visual Display of Quantitative Information. Graphics Press. Chapter 2, "Graphical Integrity".</p></li>
</ol>
<p>Optional: Check out <a href="http://www.piktochart.com"> Picktochart</a> for infographics, And the whole Tufte book is great – especially check out Chapter 1, “Graphical Excellence.”</p></li>
</td>
<td>
<div><a href=https://bcourses.berkeley.edu/courses/1490576/files/folder/Labs/Lab%203%20-%20Excel%20Basics_Charts>Lab 3: Excel Basics and Generating Charts
</a></div>
</td></tr>
<tr class="tuesday">
<td>
Tuesday, February 11: Neighborhood Data and Indicators: The Urban Displacement Project*
</td><td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td><td>
<ol>
<li><a href="...">Singleton, Spielman, and Folch (2018) Chapter 5, “Differences Within Cities”
</a></li>
<li><a href="https://www.huduser.gov/portal/periodicals/cityscpe/vol18num3/article5.html">Chapple & Zuk, “Forewarned: The Use of Neighborhood Warning Systems for Gentrification and Displacement,”
</a></li>
<li><a href="http://www.urbandisplacement.org">Urban Displacement Project [SKIM]
</a></li>
</ol></td>
<td>
</td></tr>
<tr class="thursday">
<td>
Thursday, February 13: Introduction to Economic Data and the Longitudinal Household-Employment Data
</td><td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td><td>
<ol>
<li><a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/February%2013?preview=76451056">Abowd, J. J., Haltiwanger, J., & Lane, J. (2004). Integrated longitudinal employer-employee data for the United States. American Economic Review, 94(2), 224-229.
</a></li>
</ol></td>
<td> <div><a href=https://bcourses.berkeley.edu/courses/1490576/files/folder/Labs/Lab%204A%20-%20MoEs%20and%20Using%20Social%20Explorer>Lab 4: Calculating Margins of Error; Accessing Census and Economic Data via Social Explorer Accessing Local Employment-Household Dynamics Data</a></div>
</td></tr>
</td></tr></li></table>
<!-- Module 2 -->
<h3> Module 2: Mapping the City</h3>
<table>
<tr>
<td class="header">Date</td>
<td class="header">Lecture Slides</td>
<td class="header">Reading</td>
<td class="header">Assignment</td>
</tr>
<tr class="Tuesday">
<td>
Tuesday, February 18: Spatial Data & GIS Fundamentals
</td><td>
<!-- <a href="https://docs.google.com/presentation/d/1EGFs_FAUGsfJuNElYKySFQle0Hv66SPfwG1TGCNW9Jc/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec01.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=kWejGQRvCME">Video</a> -->
</td><td>
<ol>
<li><p>Singleton, Spielman, and Folch (2018) Chapter 4, “Visualizing the city” </p></li>
<li><a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/February%2018?preview=76451125">Monmonier, Mark. 1996 Chapters 1, 2, 3, 4, and 10 How to Lie with Maps. University of Chicago Press.</a></li>
<li><a href="http://www.icsm.gov.au/education/fundamentals-mapping">Additional GIS mapping information</a></li>
</td><td>
<!-- <div><a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=materials/sp19/lab/lab01/lab01.ipynb">Lab 01: Expressions</a></div> -->
</td></tr>
<tr class="Thursday">
<td>
Thursday, February 20: Accessibility*
</td>
<td>
<!-- <a href="https://docs.google.com/presentation/d/1OOXK0YqQJAoG4WG_t8AjQw0CrmVfKYkmcnQ1AaLp5xo/edit?usp=sharing">Slides</a>, <a href="https://www.youtube.com/watch?v=c4znkQij67g">Video</a> -->
</td>
<td>
<ol>
<li><a href="https://www.theatlantic.com/technology/archive/2018/11/city-apps-help-and-hinder-disability/574963/">Hamraie, Aimi. 2018. “A Smart City Is an Accessible City.” The Atlantic. November 6, 2018.</a></li>
<li><a href="https://humantransit.org/2011/01/transits-product-mobility-or-access.html">Walker Jarrett. 2011. “transit’s product: mobility or access?” Human Transit. January 16, 2011.</a></li>
<li><a href="https://humantransit.org/2011/01/transits-product-mobility-or-access.html">Walker Jarrett. 2011. “transit’s product: mobility or access?” Human Transit. January 16, 2011.</a></li>
<p> Optional:</p>
<li><a href="https://99percentinvisible.org/episode/curb-cuts/"> “Curb Cuts.” 2018. 99% Invisible (blog). Accessed May 23, 2018.</a></li>
<li><a href="https://99percentinvisible.org/episode/curb-cuts/"> Samuel D. Blanchard and Paul Waddell. 2017. "UrbanAccess: Generalized Methodology for Measuring Regional Accessibility with an Integrated Pedestrian and Transit Network." Transportation Research Record: Journal of the Transportation Research Board. No. 2653. pp. 35–44.</a></li>
</td><td>
<div><a href=https://bcourses.berkeley.edu/courses/1490576/files/folder/Labs/Lab%205%20-%20Carto%20Part%20I>Lab 5: Carto Part I</a></div>
</td></tr>
<tr class="tuesday">
<td>
Tuesday, February 25: Introduction to Story Mapping*
</td>
<td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td>
<td>
<p>Examples to review: **planning to move these to the story mapping page**</p>
<ol>
<li><a href="http://www.antievictionmap.com/#/narratives-of-displacement/">Displacement in the Bay Area</a></li>
<li><a href="http://jmt.maps.arcgis.com/apps/MapJournal/?appid=061d0da22587475fb969483653179091%20">Mapping Segregation in DC.</a></li>
<li><a href="https://storymaps.arcgis.com/stories/378dcb733ffe4698b97ce8cd2884b3dd">Creating a neighborhood change zoning plan for Spruce Hill </a></li>
<li><a href="http://maps.google.com/gallery/details?id=zMC7tfcRop6s.koD9cCcyHJ_0&hl=en">Gangs of Los Angeles (2015)</a></li>
<li><a href="http://storymaps.esri.com/stories/2015/atlas-for-a-changing-planet/">Atlas for a Changing Planet </a></li>
<li><a href="http://story.maps.arcgis.com/apps/MapSeries/index.html?appid=597d573e58514bdbbeb53ba2179d2359">Katrina +10: A Decade of Change in New Orleans </a></li>
<li><a href="https://www.esri.com/en-us/arcgis/products/arcgis-storymaps/overview">You can find more examples at ESRI’s gallery: </a></li>
</ol></td>
<td>
<!-- <div>Lab 07: Bootstrap</div> -->
</td></tr>
<!-- </tr> -->
<tr class="thursday">
<td>
Thursday, February 27: Participatory Mapping (Kate Beck, SafeTREC, invited)*</td><td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td><td>
<ol>
<li><a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/February%2027?preview=76451075">Parker, Brenda. “Constructing Community through Maps? Power and Praxis in Community Mapping.” Professional Geographer, 58:4, (2006): 470-484.</a></li>
<li><a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/February%2027?preview=76451077">Norwood, Carla, and Gabriel Cumming. "Making maps that matter: Situating GIS within community conversations about changing landscapes." Cartographica: The International Journal for Geographic Information and Geovisualization 47.1 (2012): 2-17. </a></li>
<li><a href="https://safetrec.berkeley.edu/programs/street-story-platform-community-engagement">Check out the Street Story Project</a></li>
</ol></td>
<td>
<div><a href=https://bcourses.berkeley.edu/courses/1490576/files/folder/Labs/Lab%206%20-%20Carto%20Part%20II>Lab 6: Carto Part II </a></div>
</td></tr>
<tr class="tuesday">
<td>
Tuesday, March 3: Power, Place and Mapping (Steve Spiker, invited)*
</td><td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td><td>
<ol>
<li><a href="...">Harley, J. Brian. “Maps, knowledge, and power” (Chapter 8). In Henderson, George and Waterstone, Marvin. Geographic thought: a praxis perspective, 1988. 129-148. </a></li>
</ol></td>
<td>
</td></tr>
<tr class="thursday">
<td>
<strong>Thursday, March 5: Midterm Quiz #1</strong>
</td><td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td><td>
<!-- <ol>
<li><a href="...">Few (2012) Chapter 3 pg. 39-60 “Differing Roles of Tables and Graphs”, Chapter 4 pp. 53-60 “Fundamental Variations of Tables” Chapter 5 pg. 67-79 “Attributes of Pre-attentive Processing & “Applying Visual Attributes to Design”, Chapter 6 pg. 101-135 “Graph Design Solutions”, Chapter 11 pg. 257-270 “Displaying Many Variables at Once”, Chapter 13 pg. 295-306 “Telling Compelling Stories with Numbers”, Appendix A “Table and Graph Design at a Glance” pg. 309-310 [Lots of pictures, quick reading!]</a></li>
<li><p>Tufte, Edward R. 1983. The Visual Display of Quantitative Information. Graphics Press. Chapter 2, "Graphical Integrity".</p></li>
</ol> -->
</td>
<td>
<div><a href=https://bcourses.berkeley.edu/courses/1490576/files/folder/Labs/Lab%207%20-%20OCF_Wordpress%20and%20Embedding%20Carto%20Maps>Lab 7: OCF/WordPress and Embedding Carto Maps
</a></div>
</td></tr></table>
<h3>Module 3: Data Science for Planners: Big Data and Analytics</h3>
<table>
<tr>
<td class="header">Date</td>
<td class="header">Lecture Slides</td>
<td class="header">Reading</td>
<td class="header">Assignment</td>
</tr>
<tr class="tuesday">
<td>
Tuesday, March 10: Introduction to Big Data*
</td><td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td><td>
<ol>
<li><a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/March%2010?preview=76451090">Foster, Ian, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter, and Julia Lane. 2017. “Introduction.” Pp. 1-19 in Big Data and Social Science: A Practical Guide to Methods and Tools. Boca Raton, FL: Taylor & Francis Group.”
</a></li>
<li><a href="...">Gitelman, Lisa and Virginia Jackson. 2013. Introduction. Raw data is an oxymoron. MIT Press.</a></li>
<li><a href="https://hbr.org/2013/04/the-hidden-biases-in-big-data">Crawford, Kate. 2013. “The hidden biases in big data.” Harvard Business Review 1.</a></li>
</ol></td>
<td>
</td></tr>
<tr class="thursday">
<td>
Thursday, March 12: Big Data – and Ethics -- for Planners*
</td><td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td><td>
<ol>
<li><a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/February%2013?preview=76451056">Schweitzer, Lisa. 2014. “Planning and Social Media: A Case Study of Public Transit and Stigma on Twitter.” Journal of the American Planning Association 80 (3): 218–38.</a></li>
<li>Crawford, Kate. <a href="https://www.youtube.com/watch?v=fMym_BKWQzk"> “The Trouble with Bias” </a>, NIPS conference keynote, December 2017 (especially minutes 14:00 - 38:00)</li>
<li>Barocas, S. and d. boyd (2017) <a href="https://bcourses.berkeley.edu/files/75479266/download?download_frd=1"> "Engaging the Ethics of Data Science in Practice," </a>, Communications of the ACM, Vol. 60 No. 11, Pages 23-25.</li>
<li>M. Zook, S. Barocas, d. boyd, K. Crawford, E. Keller, S.P. Gangadharan, et al. (2017) <a href="https://bcourses.berkeley.edu/files/74352971/download?download_frd=1"> "Ten simple rules for responsible big data research." </a>, PLoS Comput Biol 13(3).</li>
</ol></td>
<td> <div><p>Lab 8: In-Lab Midterm</p></div>
<tr class="tuesday">
<td>
Tuesday, March 17: Complex Urban Modeling: Machine Learning (Pavan Yedavalli)*
</td><td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td><td>
<ol>
<li><a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/February%2013?preview=76451056">Foster, Ian et al. 2017. “Machine Learning.” Pp. 147-186 in Big Data and Social Science: A Practical Guide to Methods and Tools. Boca Raton, FL: Taylor & Francis Group.
</a></li>
<li>Pedro Domingos, <a href="https://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf"> A Few Useful Things to Know About Machine Learning (2012)
</a></li>
</ol></td>
<td>
</td></tr>
<tr class="tuesday">
<td>
Thursday, March 19: Deploying Data Science Techniques in Urban Research
</td><td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td><td>
</td>
<td> <div><strong>No lab this week!</strong></div>
</td></tr>
<tr class="thursday">
<td>
Tuesday, March 31: Volunteered Geographic Information (Sam Maurer, guest speaker)*
</td><td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td><td>
<ol>
<li><a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/March%2031?preview=76451081">Jiang, Bin, and Jean-Claude Thill. 2015. “Volunteered Geographic Information: Towards the Establishment of a New Paradigm.” Computers, Environment and Urban Systems, Special Issue on Volunteered Geographic Information, 53 (September): 1–3.</a></li>
<li> <a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/March%2031?preview=76468386"> Boeing, Geoff, and Paul Waddell. 2016. “New Insights into Rental Housing Markets Across the United States: Web Scraping and Analyzing Craigslist Rental Listings.” Journal of Planning Education and Research.
</a></li>
<li> <a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/March%2031?preview=76451138"> Shelton, Taylor, Ate Poorthuis, and Matthew Zook. "Social media and the city: Rethinking urban socio-spatial inequality using user-generated geographic information." Landscape and Urban Planning 142 (2015): 198-211.
</a></li>
</ol></td>
<td> <div></div>
<tr class="tuesday">
<td>
Thursday, April 2: Urban Data Analytics
</td><td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td><td>
<ol>
<li><a href="https://bcourses.berkeley.edu/files/74352972/download?download_frd=1">G.C. Bowker and S.L. Star, Sorting Things Out: Classification and Its Consequences (Cambridge, MA: MIT Press, 2000), Introduction ("To Classify is Human"), read pp. 1-16.
</a></li>
<li> <p>Wheelan (2013) Chapters 8 & 11, “Correlation”, “Regression Analysis”</p></li>
<li> <a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/March%2031?preview=76451138"> Reades, J., De Souza, J., & Hubbard, P. (2018). Understanding urban gentrification through machine learning.</a></li>
<li> <a href="https://failedarchitecture.com/the-extractive-growth-of-artificially-intelligent-real-estate/"> Stewart, Matthew. 2019. “The Real Estate Sector is Using Algorithms to Work Out the Best Places to Gentrify.” Failed Architecture.</a></li>
</ol></td>
<td> <div><a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Labs/Lab%209%3A%20Python%20-%20Intro%20to%20Jupyter_Python_Pandas"> Lab 9: Python - Intro to Jupyter/Python/Pandas</a></div></td></tr>
<tr class="tuesday">
<td>
Tuesday, April 7: Open Data & Using Portals (Jason Lally, DataSF, Invited)*
</td><td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td><td>
<ol>
<li><a href="http://www.nytimes.com/2016/04/05/technology/datausa-government-data.html">Lohr, Steve. 2016. “Website Seeks to Make Government Data Easier to Sift Through.” The New York Times, April 4.</a></li>
<li><a href="https://beyondtransparency.org/part-2/oakland-and-the-search-for-the-open-city/">Spiker, Steve. 2013. “Oakland and the Search for the Open City.” Pp. 105-124 in Beyond Transparency: Open Data and the Future of Civic Innovation. San Francisco, CA: Code for America.</a></li>
<li> <p>Wheelan (2013) Chapters 8 & 11, “Correlation”, “Regression Analysis”</p></li>
<li> <a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/April%207?preview=76451127"> Johnson, Jeffrey Alan. 2014. “From Open Data to Information Justice.” Ethics and Information Technology 16 (4): 263–74.</a></li>
</ol></td>
<td> <div></div></td></tr>
<tr class="thursday">
<td>
<strong>Thursday, April 9: Midterm Quiz #2
</strong>
</td>
<td></td>
<td></td>
<td>
<div><a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Labs/Lab%2010%3A%20Python%20-%20Web%20Scraping?preview=76451062"> Lab 11: Python - Web Scraping</a></div>
</td></tr>
<tr class="tuesday">
<td>
Tuesday, April 14: Interactive Visualizations*
</td><td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td><td>
<ol>
<li><a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/April%2014?preview=76451126">Hemmersam, Peter, Nicole Martin, Even Westvang, Jonny Aspen, and Andrew Morrison. 2015. “Exploring Urban Data Visualization and Public Participation in Planning.” Journal of Urban Technology 22 (4): 45–64.</a></li>
<li> <a href="https://readthink.com/12-complex-concepts-made-easier-through-great-data-visualization-c94950277fed#.lqiyxpvba"> Johnson, Jeffrey Alan. 2014. “From Open Data to Information Justice.” Ethics and Information Technology 16 (4): 263–74.</a></li>
<p> Explore additional interactive visualizations <a href="./data-viz"> here </a></p>
<li> <a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/April%2014?preview=76451091"> Optional:
Foster, Ian et al. 2017. “Working with Web Data and APIs.” Pp. 23-70 and “Information Visualization.” Pp. 243-263 in Big Data and Social Science: A Practical Guide to Methods and Tools. Boca Raton, FL: Taylor & Francis Group.</a></li>
</ol>
<td></td></td></tr>
<tr class="thursday">
<td>
Thursday, April 16: Defining Smart Cities in Theory and Practice* (guest speaker TBD)
</td><td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td><td>
<ol>
<li><a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/April%2014?preview=76451126">Batty, M. 2016. “How Disruptive Is the Smart Cities Movement?” Environment and Planning B: Planning and Design 43 (3): 441–43</a></li>
<li> <a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/April%2016?preview=76468759"> Shelton, Taylor, Matthew Zook, and Alan Wiig. 2015. “The ‘Actually Existing Smart City.’” Cambridge Journal of Regions, Economy and Society 8 (1): 13–25. doi:10.1093/cjres/rsu026.</a></li>
<p> P. Dourish, Code and the City, Rob Kitchin and Sung-Yueh Perng, eds. (Routledge, 2016), pp. 27-49 <a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/April%2017?preview=76468750"></a></p>
<li> T. Misra, <a href="https://www.citylab.com/equity/2017/11/new-digital-sanctuary-cities/541008/"> "The New Digital Sanctuaries,"</a>
Citylab, November 14, 2017.</li>
</ol>
<td>
<div><a href="..."> Lab 12: Python - Mapping</a></div>
</td></td></tr>
<tr class="tuesday">
<td>
Tuesday, April 21: Smart Institutions & e-Governance (Raleigh McCoy, MTC, invited)*
</td><td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td><td>
<ol>
<li><a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/April%2014?preview=76451126">Noveck, Beth Simone. 2015. Smart Citizens, Smarter State: The Technologies of Expertise and the Future of Governing. Harvard University Press.; Chapter 1 & Conclusion, “From Open Government to Smarter Governance”, pg. 1 - 43; “Conclusion: The Daedalus Project”, pg. 267 – 275</a></li>
<li> V. Eubanks, <a href="http://prospect.org/article/want-predict-future-surveillance-ask-poor-communities"> "Want to Predict the Future of Surveillance? Ask Poor Communities,"</a> The American Prospect, January 15, 2014.</li>
<p> P. Dourish, Code and the City, Rob Kitchin and Sung-Yueh Perng, eds. (Routledge, 2016), pp. 27-49 <a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/April%2017?preview=76468750"></a></p>
<li> Also look over <a href="https://smartcitizen.me/"> smartcitizen.me/ </a></li>
</ol>
<td>
<div><a href="..."> Lab 12: Python - Mapping</a></div>
</td></td></tr>
<tr class="thursday">
<td>
Thursday, April 23: Civic Hacking and Equity (Emily Wasserman, Code for SF, invited)*
</td><td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td><td>
<ol>
<li><a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/April%2014?preview=76451126">Barns, Sarah. "Mine your data: open data, digital strategies and entrepreneurial governance by code." Urban Geography 37.4 (2016): 554-571.
</a></li>
<li> <a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/April%2016?preview=76468759"> Shelton, Taylor, Matthew Zook, and Alan Wiig. 2015. “The ‘Actually Existing Smart City.’” Cambridge Journal of Regions, Economy and Society 8 (1): 13–25. doi:10.1093/cjres/rsu026.</a></li>
<p> P. Dourish, Code and the City, Rob Kitchin and Sung-Yueh Perng, eds. (Routledge, 2016), pp. 27-49 <a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/April%2017?preview=76468750"></a></p>
<li> T. Misra, <a href="https://www.citylab.com/equity/2017/11/new-digital-sanctuary-cities/541008/"> "The New Digital Sanctuaries,"</a>
Citylab, November 14, 2017.</li>
</ol>
<td>
<div><a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Labs/Lab%2012%3A%20Python%20-%20Big%20Data?preview=76451087"> Lab 13: Python - Working with Big Data</a></div>
</td></td></tr>
<tr class="tuesday">
<td>
Tuesday, April 28: Presenting Data
</td><td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td><td>
<ol>
<li><a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/April%2028?preview=76451131">Schwabish, Jonathan. 2017. Chapter 1 “Theory, Planning and Design”; Chapter 4 “The Text Slide”; and Chapter 5 “The Data Visualization Slide”; in Better Presentations: A Guide for Scholars, Researchers, and Wonks. New York: Columbia University Press.
</a></li>
<li> <p> Tufte, Edward, R. 2003. The Cognitive Style of PowerPoint. Graphics Press.</p></li>
<li> <a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/April%2028?preview=76451134">Doumont, Jean-luc. 2005. “The Cognitive Style of PowerPoint: Slides Are Not All Evil.” ResearchGate 52 (1): 64–70. </a> </li>
<li> T. Misra, <a href="https://www.citylab.com/equity/2017/11/new-digital-sanctuary-cities/541008/"> "The New Digital Sanctuaries,"</a>
Citylab, November 14, 2017.</li>
<li><a href="https://www.citylab.com/equity/2017/11/new-digital-sanctuary-cities/541008/"> Parker, Ian. May 28, 2001. Absolute Powerpoint: Can a software package edit our thoughts? The New Yorker.</a>
Citylab, November 14, 2017.</li>
<li>Optional <a href="http://www.newyorker.com/magazine/2001/05/28/absolute-powerpoint"> Schwabish, Jonathan. 2017. Chapter 2 “Color” in Better Presentations: A Guide for Scholars, Researchers, and Wonks. New York: Columbia University Press.
</a>
Citylab, November 14, 2017.</li>
</ol>
<td>
<div></div>
</td></td></tr>
<tr class="thursday">
<td>
Thursday, April 30: The Inclusive Smart City*
</td><td>
<!-- <a href="https://docs.google.com/presentation/d/18FU0iuU970LOR8UWrAP-CIV8hZ9-ac0OWpk23ene5jA/edit?usp=sharing">Slides</a>, <a href="http://datahub.berkeley.edu/hub/user-redirect/git-sync?repo=https://github.com/data-8/materials-sp19&subPath=lec/lec03.ipynb">Demos</a>, <a href="https://www.youtube.com/watch?v=TMyNZLIqTRo">Video</a> -->
</td><td>
<ol>
<li><a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/April%2028?preview=76451131">Singleton, Spielman, and Folch (2018) Chapter 8, pg. 151 “Networks Supporting Human Progress” & Chapter 9, “The Future of Urban Analytics”
</a></li>
<li> <p> Tufte, Edward, R. 2003. The Cognitive Style of PowerPoint. Graphics Press.</p></li>
<li> <a href="https://bcourses.berkeley.edu/courses/1490576/files/folder/Readings/April%2028?preview=76451134">Doumont, Jean-luc. 2005. “The Cognitive Style of PowerPoint: Slides Are Not All Evil.” ResearchGate 52 (1): 64–70. </a> </li>
<li> T. Misra, <a href="https://www.citylab.com/equity/2017/11/new-digital-sanctuary-cities/541008/"> Zook, Matthew. 2016. “Crowd-sourcing the Smart City: Using Big Geosocial Media Metrics in Urban Governance.” Unpublished paper.</a></li>
</ol>
<td>
<div>Lab 14: Open Help Session (optional)</div>
</td></td></tr>
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