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Digital Arts and Humanities (minor only)

Digital Arts and Humanities (DAsH) brings the techniques of data analysis and digital representation to traditional questions in the humanities and social sciences.

Why Choose Digital Arts and Humanities?

Using new tools in computer mapping, content management, network analysis, text mining, social media and more, students and faculty publish findings in computer simulations, data visualizations, and other new formats that grant us new approaches to timeless questions. DAsH reaches out from the classroom to the public sphere, seeking out information on the Internet and in digitized sources, launching bold research agendas in and beyond the walls of the traditional college classroom.

What Will You Learn?

The DAsH program is designed to provide students with digital skills that are attractive to employers after graduation.

  • Data/Text Mining
  • Large-corpus analysis
  • Data visualization
  • Digital archive research, analysis and production
  • Website design and management
  • Computer programming
  • Internet content-management and analysis
  • Meta-data production and interpretation
  • Media production: blogging, podcast creation, etc. 

Tools and Software

YouTube, Blogger, Voyant, PressBooks, Python, Tableau, Neatline, Excel, Audacity, WordPress, Wiz, GeoJSON, iMovie, Weebly, Tiki Toki, Sutori, Twitter API, and more. 

Select Spring 2019 DAsH Courses

HIST 100          Slavery in the Bronx

BUAN 227        Business Statistics

SOC 250          Geographic Information Systems

ENGL 335        Victorian Media

ENGL 392        Writing and Remembering 

Past DAsH Student Research Projects

  • Liam King, "Narrative and Politics in Games" (Summer 2018)
  • ENGL 395, "Fake News, #MeToo and Some Victorian and Origins of Social Justice: Digital Archive of Violence in the Media" (Fall 2018)
  • Reilly Rebhahn, "Data Cleaning as the Bane of Digital Humanities Research: The Census and Data Visualization" (Summer 2018)
  • Ghassan Harami and Shintaro Nakamura, "Data WRangling for Social Media Twitter Analytics" (Summer 2019)
  • Angela Benevenia, "Speaking Geek: Sci-Fi Code Switching in Junot Diaz's Oscar Wao" (Summer 2017)
  • Nasri Yatim, "A respository for Social Media Analytics: The Case of Twitter" (Summer 2016)
  • Kimberly Hickey, "Before Mad Men: Portrayals of Women in Advertising, 1950-1959" (Summer 2015)