The Digital Teaching Integration (DTI) initiative aims to collaborate with faculty across the CSSH disciplines to introduce students to digital methods and skills, at both the undergraduate and graduate levels.

We believe that every student, across all disciplines, needs basic computational skills to be successful in today’s market. Even though most students are now “born digital,” this does not mean they understand how a computer works, or what specific computing skills they will need in their future careers. The DTI consists of a team of graduate students, guided by faculty and staff leads, who work with faculty across CSSH to incorporate digital proficiencies into existing syllabi. Rather than adding additional skills or assignments to existing courses, we instead work with faculty to integrate digital skills to enhance the existing course learning goals and outcomes. The aim is not to turn all students into computer scientists, but to teach skills that will help them be successful in their own work and in the workforce they will be entering when they graduate.

If you are interested in getting involved:

  • For information on sample course materials, click here
  • If you are interested in learning more about our faculty guidelines, click here
  • To schedule an initial meeting with a DTI member, please fill out this survey and we will be in touch (survey closed for the Summer/Fall 2019 semesters, but will re-open again for the Spring 2020 semester).

The DTI Team

The DTI team is led by Elizabeth Maddock Dillon, Distinguished Professor of English and NULab Co-Director, and Laura Nelson, Assistant Professor of Sociology. Current team members are listed below with some of the skills they are able to bring into class partnerships. 

Alexis Yohros, Criminology Ph.D. Student 

  • Excel
  • Basics of Python, data scraping, ArcGIS
  • Advanced data analysis using SPSS, Stata, and R

Cara Marta Messina, English Ph.D. Candidate

  • GitHub and GitHub Pages
  • Website Building Tools
  • Excel
  • Python
  • Text encoding (XML, TEI)
  • Text analysis methods (basic browser tools and Python)
  • Citation management
  • Basics of R, data scraping, HTML/CSS

Sarah Connell, NULab Assistant Director

  • Text encoding and customization (XML, TEI)
  • Web-based text analysis
  • Topic modeling
  • Vector space modeling
  • Digital archive curation
  • WordPress
  • Digital project development