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$3M Stanford Catalyst for Collaborative Solutions--Request for Proposals

Stanford Neurosciences Institute
Funding Sponsor: 
Stanford Catalyst for Collaborative Solutions
Contact Email: 
Mark Horowitz <>
Funding Deadline: 
February 28, 2018 - 11:59 pm

Stanford Catalyst for Collaborative Solutions
Request for Proposals

Amount of funding: up to $3 million over 3 years per project

This is considered University Research.

Deadline:  Feb. 23, 2018*,  11:59 p.m.

*Institutional representatives: not applicable. You do not have to submit your proposals to your RPM in RMG or your CGO in OSR for their approval. You can submit them directly to the program.


A PDF file of the guidelines is attached.

FAQ webpage >>

Introductory Workshops (RSVP needed)

Thurs., Jan. 11, 2018 9-12pm

Friday, Jan. 12, 2018  4-7pm

For more information on the introductory and other workshops see the attached PDF file or this webpage >>


  • The Principal Investigator (PI) must be a Stanford faculty member and be eligible per Stanford policy (with UTL, MCL, or NTLR appts). 
  • Each project team must include the participation of at least one tenure-line (UTL) faculty member from the School of Engineering as the Principal Investigator (PI) or Co-Principal Investigator (Co-PI).
  • A faculty member can serve as a Co-PI on, or be associated with, no more than two proposals, but each faculty member may serve as the PI for only one proposal.
  • Maximum number of Co-PIs per project proposal is 4 (not including the PI)

Purpose: The Stanford Catalyst for Collaborative Solutions is seeking to fund interdisciplinary project teams in its second year of its pilot phase, each team receiving up to $3 million over three years. Proposals should address significant societal challenges requiring a truly interdisciplinary team to make significant process. Proposals can -- but are not required to -- fall under one of the Future 10 Grand Challenges**, and they must satisfy the project proposal guidelines. We are looking for bold approaches with the potential of achieving lasting, high-impact solutions. 

**Future 10 Grand Challenges:

For detailed descriptions of the following challenges see this webpage >>

  • 1. How can we ensure that humanity flourishes in the cities of the future?
  • 2. How can we engineer matter from atomic to macro scales?
  • 3. How can we use autonomy to enable future technologies?
  • 4. How can we use our strength in computation and data analysis to drive innovation?
  • 5. How do we achieve effective yet affordable healthcare everywhere?
  • 6. How do we create synergy between humans and engineered systems?
  • 7. How do we secure everything?
  • 8. How do we sustain the exponential increase in information technology performance?
  • 9. How do we provide humanity with the affordable energy it needs and stabilize the climate?
  • 10. How good can we get at engineering living matter? 

PDF icon stanford_catalyst_2018.pdf