Employee Database
How It Works
The employee database and its API Plugin are tools that can be used in conjunction with one another to display information about employees in campus departments. This page will walk you through using the Employee Database block on your page to display employee information.
Instructions
- Create the "Employee Database" block and add it to your site.
- Go to "Add Content" > "Blocks" > "Row Blocks" and select the "Employee Database" Block.
- Navigate to the Employee Database API Plugin and retrieve the numerical codes to enter into the Block.
- Select the "School" or "College" you are looking for.
- Select the "Department" you are looking for.
- Select the "Type" of employee you are looking for.
- Select the "Tag" associated with that employee Note: Some departments don't use tags, the query will revert to "Type" if this is the case.
- Take note of the numerical values of the School/College, Department, Type and Tag produced by the API.
- Back in Cascade, edit the "Employee Database" block you created. Enter the information generated from the API into the appropriate fields.
- Submit your changes.
- Publish your changes. NB: the Employee Database block does not display fully in Cascade, but only on the live site. Cascade will only display the numerical values retrieved from the API.
Breakdown of the API codes.
- School ID: Each school within the database is referenced by a unique ID.
- Department ID: In combination with the school ID, this identifies your department within the Faculty Database.
- ID(s): Each person in the system is associated with a personnel "type" (Professor, Adjunct, Staff, etc.), and you can filter by these IDs.
- Tag ID(s): Some departments choose to further categorize by research area or specialty with tags.
The section below is an example of what you should see after attaching the employee database block.
Cheyenne Laue
Instructor
Contact
- cheyenne.laue@mso.umt.edu
- Website
- https://hs.umt.edu/evotech/
Research Interests
Evolution of Cultural and Technological Complexity
Genotype - Phenotype Maps and Fitness Landscape Modelling
Population Genetics Modeling/ Mathematics/ Theory
Ethics in Computing Sciences
Digital Ethnography
Computational Ethics
Data Bias and Data Governance
Privacy
Projects
Genotype - Phenotype Maps and Technological Complexity
Consciousness, Empathy, and Artifical Intelligence
Cultural Evolution and Demography in Pre-historic Greenland
Publications
2023 Evolving Complexity is Hard
2023 Evolution of the Okvik/Old Bering Sea culture of the Bering Strait as a major transition
2021 Evolving Complexity and Properties of the Genotype Phenotype Map
2019 Landscape Revolutions for Cultural Evolution
2018 Excavating the Artifical: Arachaeology, Temporality, and Digital Space
2017 Familiar and Strange: Gender, Sex, and Love in the Uncanny Valley