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

About the Digital Integration Teaching Initiative

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 DITI team consists 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 an instructor interested in integrating digital proficiencies in your course (either on your own or with a DITI member) or a student who is interested in developing digital proficiencies, here are several useful resources:

For Instructors Interested in Partnering with DITI

DITI will partner with faculty across CSSH to integrate digital proficiencies into their curriculum. Please check out the information below to learn previous digital proficiency modules DITI created, read about faculty partnership guidelines, and fill out an initial consultation survey.

Digital Integration Teaching Initiative Drop-In Office Hours

Tuesdays, 1–3PM in 401 Nightingale Hall held by Cara Marta Messina

These office hours are for faculty and students alike.

  • Digital pedagogy and teaching methods
  • NVivo
  • Excel
  • Python and basics of R
  • GitHub/Git
  • Text analysis – web-browser tools and Python (natural language processing, word embedding models, and topic modeling)
  • Text encoding (XML, TEI)
  • Google Suite

Thursdays 1-3 in 964 Renaissance Park held by Taylor Braswell

These office hours are for students or faculty learning technical skills.

  • R
  • Python
  • Geospatial Mapping and Visualizations
  • Quantitative Spatial Modeling
  • Statistics

The DITI Team

The Co-Directors of the DITI are Elizabeth Maddock Dillon, Distinguished Professor of English; Laura Nelson, Assistant Professor of Sociology; and Sarah Connell, NULab Assistant Director. The current team members are listed below along with some of the skills they are able to bring into class partnerships.

Sarah Connell, NULab Assistant Director
DITI Co-Director

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

Cara Marta Messina, English Ph.D. Candidate
DITI Assistant Director, 2019-2020

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

Laura Johnson, English Ph.D. Student
NULab Coordinator, 2019–2020

  • Text encoding (XML and TEI)
  • Digital archives and metadata
  • Digital exhibits and storytelling
  • Textual analysis
  • Data preparation and documentation
  • WordPress
  • GitHub
  • Citation management

Garrett Morrow, Political Science Ph.D. Student
DITI Research Fellow, 2019–2020

  • Python
  • R
  • SPSS
  • Tableau
  • NVivo
  • Citation Management (Zotero)
  • ArcGIS/QGIS & Spatial Analysis
  • Excel
  • Gephi

Jeff Sternberg, Sociology Ph.D. Candidate
DITI Research Fellow, 2019–2020

  • Python
  • Text analysis
  • Computer vision/image processing
  • GitHub
  • Gephi & social network analysis
  • APIs and developing big datasets
  • Basic mapping and GIS
  • Qualitative coding
  • Ethics
  • Multivariate stats


Alexis Yohros, Criminology Ph.D. Student
DITI Assistant Director, 2018-2019

Molly Nebiolo, History Ph.D. Candidate
DITI Research Fellow, 2019