Faculty Tides Grants

CAIDS supports the development of new data-focused TIDES courses through Course Development Grants. Data-centered TIDES help students understand how data shapes their environment and how data literacy can be critical in many fields of study.​​​​​​

  • Awards: Up to $1,000 each
  • Apply: Through NTC's First Year Experience Office. Submit a course proposal to Newcomb-Tulane College via their form and indicate that you’d like your course considered for a CAIDS TIDES Grant when you complete the form.

 

Eligibility Criteria: CAIDS Grants for TIDES Instructors
 

Funding Amounts

To increase the course content in TIDES courses on data, CAIDS will provide additional payments to instructors of new TIDES courses that focus on data, or to existing TIDES courses that add a new module on data. The CAIDS Hub will offer the following funding amounts:

  •  $1,000 for the creation of a new TIDES course that focuses primarily on data, such that data is the topic of at least 50% of the course content.
     
  • $500 for the creation of a new TIDES course that focuses partly on data, such that data is at least 20-49% of the course content.
     
  • $100 to $500 for the creation of a new module on data to add to an existing TIDES course, with the maximum attainable for larger modules (20% of course content) and the minimum attainable for smaller modules (of at least one hour of instruction).

Eligibility Criteria

Eligibility criteria. To be eligible as a new TIDES course, the course must not have been taught before and must not simply be a minor re-working on an existing TIDES course. To be eligible as a new module, the module must not have been taught in the TIDES course before.

CAIDS defines “data” broadly, including quantitative data but also qualitative data, such as data obtained from interviews. The following list are topics that would constitute “data”.

  • Content on data literacy, such as how data is collected, presented, or interpreted.
     
  • Content on appropriate and inappropriate uses of data.
     
  • Content on how data is used in research, such as breaking down a peer-reviewed research article that uses data into a way that can be better understood by students.
     
  • Content on data structure, such as the differences between categorical and continuous variables, or number and string data.
     
  • Content on data visualization, such as interpreting or creating figures and table to present data.
     
  • Content on data collection, such as where to download data or how to collect quantitative or qualitative data.
     
  • Content on data cleaning, such as how to organize data, check it for quality, or get it into a useable format.
     
  • Content on statistical estimation using data, such as calculating means or conducting testing or estimations.

The above list is not exhaustive. Those who are unsure about if their content counts as “data” should contact CAIDS staff.