Research Services at CAIDS 

CAIDS maintains research teams that provide hands-on technical support for data, statistics, and digital humanities projects across Tulane. Graduate students, staff, and faculty can partner with a CAIDS team to get expert help with data collection, analysis, visualization, and communication  across any field or discipline.

Do you need help with digital humanities or stats?

Call for Research Project Proposals

The Connolly Alexander Institute for Data Science invites all Tulanians (students, faculty and staff) to submit proposals for data, statistics, and digital humanities research assistance. Selected projects will receive technical support from a CAIDS research team.

 

Proposals are accepted on a rolling basis throughout the semester, depending on capacity constraints.

 

Project Sponsorship

If selected, a CAIDS research team will work with you to provide technical expertise and help you meet your project objectives. Team assignments are made based on the nature and needs of each project.

We encourage applications from all fields and disciplines.


Project Qualifications

We are looking for projects that involve one or more of the following:

  1. Data collection
  2. Data cleaning and preparation
  3. Data analysis
  4. Data visualization
  5. Data or science communication
     

Project Partner Expectations

If selected, project partners agree to:

  1. Communicate consistently with the CAIDS team by responding to emails promptly, attending regular meetings, and providing timely feedback.
  2. Allow CAIDS to promote the project through poster development and write-ups on social media and other publications.
  3. Acknowledge CAIDS sponsorship in any publications or websites related to the project.
  4. Credit the names of CAIDS interns, consultants, research assistants, and faculty who supported the project in relevant publications, websites, and footnotes.
  5. Discuss the possibility of additional credit arrangements with CAIDS faculty if the scope of support warrants it.
  6. Present or discuss the project at a CAIDS event, such as Love Data Week or the Talk Data to Me speaker series.
  7. Attend the Data Showcase: Student Poster Session and other invited events as invited.

 

Apply!