Research Computing


GSE IT consultants serve as a first point of contact for faculty, grad students, and research staff, working to understand scholars’ research needs and facilitate their access to the computing resources that best support their research.

Our consultants are subject-matter experts in one or more research domains and/or computing resources e.g. academic technology, cloud computing (AWS/GCP), machine learning, high-performance computing (HPC), analytical environments, software stacks/tools used by GSE researchers.



With the approval of a five-year investment into GSE’s next generation research computing infrastructure, GSE is dedicated in providing on-premise and cloud solutions for our researchers. One key focus is our team's ability to architect a custom compute environment unique to the GSE researchers requirements of specific research tools and data security that meet the scholars' requirements with cost-efficient value.

  • Secure Data Rooms
  • Physical computer lab with data analysis software packages
  • Virtual lab 24x7 worldwide access to compute and data analysis software packages
  • Virtual Compute Environment
  • Cloud Compute Environment


Workshops and Training for Research Tools

GSE provides workshops and training to the research community, including qualitative and quantitative data analysis software packages that are taught in GSE courses. Workshops and training available to GSE faculty, students, and researchers include:


Application Development for Research

Funded by the TELOS grant, GSE created the Application Development team to support our faculty who need technical help in designing and developing software to enhance our faculty’s research and allow research projects to scale globally.

  • Child Learning Assessment: This iPad app collects data about second and third graders’ math and reading ability. Over the course of ten experimental trials, users receive instructions and practice training, and are provided feedback about their performance. The app records users’ reaction time and accuracy on each trial, and unique information about each trial such as stimulus displayed and condition it belonged to.
  • Child Emotion and Performance Assessment: This tablet app is used to assess a child in the areas of inhibitory control, cognitive flexibility, working memory, delay of gratification, frustration tolerance, persistence and challenge preference. The app assesses these things in children using fives tasks adapted from well-validated laboratory assessments. These tasks are designed and developed to be appropriate and sensitive to individual differences across K-5 grades and via customizable difficulty settings.
  • Stanford Question Evaluator: This project uses a database of questions loosely tied to Bloom’s taxonomy to classify and predict future questions. The platform is built entirely on the cloud, taking advantage of Google AI Platform, App Engine, and Cloud SQL. It takes advantage of natural language processing libraries in Python to tokenize and vectorize sentences. The project is available through Google Assistant.