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Call for Participation

Improve our lives on campus and in society.


Caltech is a unique place that offers rare opportunities to collaborate in an interdisciplinary environment where engineers can talk to biologists, biologists can work with physicists, and computer scientists can partner with social scientists. This fosters amongst our students core values of respect, risk-taking, intellectual curiosity, and integrity. This also gives our staff the freedom and opportunity to act and encourage those values.

Caltech IMSS, the Center for Autonomous Systems and Technologies (CAST), the CMS Partners Program, and Student Activities are partnering to bring an exciting competition for undergraduate students (grad students, post-docs, staff and faculty can act as advisors) to team up to develop solutions and explore how technologies can positively impact campus life and broader society. 

Undergraduates are invited to form teams and submit innovative solutions. We hope to see a varied use of technology, and solutions may range from the purely digital, such as intelligent data analytics and mobile applications, to electrical and mechanical, such as personal assistant drones, bioelectronics devices and wearables. 

These types of projects can make great independent study projects, so look for a faculty advisor to help your team develop a project. Graduate students, post-docs, and staff are great resources as well. The following faculty members have expressed their support for this challenge:

  • Professor Adam Wierman
  • Director of Outreach and CMS Partners Program, Claire Ralph
  • Professor Richard Murray
  • Professor Steven Low
  • Professor Wei Gao
  • Center for Autonomous Systems and Technologies (CAST,


  • Challenge Submissions Open - September 2018
  • Project funding proposals due - Winter 2019
  • Project Demos and Evaluation - TBA 2019


Solution Areas

Spider web
Internet of Things (IoT)
Big Bang Data Wall
Data Analytics and Machine Intelligence
CAST Air Ambulance
Automation and Autonomous Systems
Mobile device farm
Mobile and Sensor Interactions
Sensor network