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Digital Resource Guide

Online Resources by GC Digital Fellows Please consult these blog posts, handouts, workshop outlines, articles, and tutorial slide decks data and databases design mapping programming (including Python) project management projects text analysis web development Digital Scholarship Lab Physical Library The Digital Scholarship Lab has a collection of useful books for reference. Topics include design, infrastructure, theory, and […]

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On Broadway: Urban Data Visualization Project

A project by Daniel Goddemeyer, Moritz Stefaner, Dominikus Baur, and Lev Manovich, On Broadway is an urban data visualization project “On Broadway” that represents 13 miles of Broadway using images and data from Instagram, Twitter, Foursquare, Google Street View, the US Census Bureau, and more. The result is a visually rich image-centric interface, where numbers play only a secondary role, and no maps are used. The project […]

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Social Policy Simulation Center

(Dr. Jonathan Peters, Director) Founded in 2009, the Social Policy Simulation Center analyzes the “multi-layered social and technical interactions” that occur in urban settings,  using computerized simulations and “multi-dimensional modeling techniques.”  The center’s research helps improve the way modern cities function by providing more efficient alternatives to existing functions and by analyzing and simulating the operational […]

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Center for Advanced Study in Education

Closely affiliated with the Graduate School’s Ph.D. Program in Educational Psychology, the Center for Advanced Study in Education is comprised of a consortium of researchers, scholars, and students within and outside of CUNY who are dedicated to producing improvements in educational programs and students’ lives. Directed by Dr. Deborah Hecht, CASE conducts basic and applied […]

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Data Mining Methods – class and research projects

Prof. Paul Attewell’s Data Mining Methods is a hands-on workshop aimed at exploring data mining theory.  It is taught together with computer scientist Prof. Robert Haralick.  See syllabus below. Prof. Paul Attewell pattewell@gc.cuny.edu Soc. 81900 – Data Mining Methods {17537} Wednesdays, 4:15 – 6:15 p.m. Room TBA, 3 credits “Data mining is the name given […]

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