University of Wisconsin–Madison
View of the WID atrium

Welcome to INTEGRATE

INTEGRATE, short for “Integrating Robots into the Future of Work,” is a National Science Foundation Research Traineeship (NRT) program developed to provide a unique academic environment to enrich the training of graduate students in STEM disciplines, including computer science, engineering, psychology, and economics, to address fundamental research challenges in realizing the integration of robots into the future of work at the micro, systems, and macro scales.

The INTEGRATE Program Consists of Five Main Component

1. A flexible, personalized curriculum that combines core STEM training with coursework from complementary human-centered disciplines in the form of concentrations such as Labor, Policy, Organization, and Interaction.

2. Hands-on, immersive, and mentored research experiences through apprenticeship-based industry-sponsored team research projects on real-world problems, called “Expeditions”.

3. Opportunities for professional development through internships and secondments at a network of partner industrial and academic organizations.

4. The forming of an INTEGRATE Research Community through colloquium, an annual INTEGRATE  Symposium, and significant online presence and activity.

5. Continuous and rigorous assessment of program effectiveness in training, research productivity, and real-world relevance and impact toward program refinement.

Trainee Nomination Checklist

  • Be admitted to a graduate program at UW-Madison in computer sciences, mechanical engineering, industrial and systems engineering, psychology, economics or other related fields.
  • Find a Trainer.
  • The Trainer must complete and  submit the linked Nomination Form during the open nomination period each semester (October and March).
  • The following items are completed by the student and uploaded by the trainer on the nomination form.
    • Curriculum Vitae of nominee, including his/her work/research experience
    • One page statement of motivation completed by the nominee.  Please respond to the following prompts:
      • What are some challenges with regards to automation, robotics, technology?
      • How does your educational background and career objectives make you a good candidate for this program?