Internal Competition Completed


Principal Investigators Selected
  • Carmen Lilley (Department of Mechanical and Industrial Engineering) and Mark Rosenblatt (Department of Opthalmology and Visual Sciences) are authorized to submit

Program Summary

Program Summary

EXPEDITED REVIEW - ONLINE LOI AND ONE PAGE WHITE PAPER DUE MONDAY NOVEMBER 27 AT NOON

 

The NSF Research Traineeship (NRT) program is designed to encourage the development and implementation of bold, new, and potentially transformative models for STEM graduate education training. The NRT program seeks proposals that explore ways for graduate students in research-based master’s and doctoral degree programs to develop the skills, knowledge, and competencies needed to pursue a range of STEM careers.

The program is dedicated to effective training of STEM graduate students in high priority interdisciplinary research areas, through the use of a comprehensive traineeship model that is innovative, evidence-based, and aligned with changing workforce and research needs. For FY2018, proposals are requested in any interdisciplinary research theme of national priority, with special emphasis on two high priority areas: (1) Harnessing the Data Revolution (HDR) and (2) Innovations at the Nexus of Food, Energy, and Water Systems (INFEWS). HDR is expected to continue as a priority research area for FY2019 and FY2020 competitions, along with a new priority area to be announced in 2018. The NRT program addresses workforce development, emphasizing broad participation, and institutional capacity building needs in graduate education. Strategic collaborations with the private sector, non-governmental organizations (NGOs), government agencies, national laboratories, field stations, teaching and learning centers, informal science centers, and academic partners are encouraged. NRT especially welcomes proposals that will pair well with the efforts of NSF INCLUDES to develop STEM talent from all sectors and groups in our society (https://www.nsf.gov/news/special_reports/nsfincludes/index.jsp). Collaborations are encouraged between NRT proposals and existing NSF INCLUDES projects, provided the collaboration strengthens both projects. 

 

Anticipated Funding Amount: $36,100,000

NRT Awards (10-12 anticipated in FY2018) are expected to be up to five (5) years in duration with a total budget up to $3,000,000.

Application Limits

Application Limits

University is limited to two proposals (includes serving as a lead organization, non-lead organization or subawardee on any proposal)

Additional Information

Deadlines

UIC Letter of Intent
November 27, 2017
UIC Internal Competition
TBD
Sponsor Letter of Intent
N/A
Sponsor Application
December 6, 2017

Letter of Intent

Letter of Intent

Letter of Intent (LOI) Form

 

***EXPEDITED REVIEW: IN ADDITION TO THE ONLINE LOI, PLEASE UPLOAD YOUR BIOSKETCH AND A ONE PAGE WHITE PAPER THAT ADDRESSES THE FOLLOWING BY MONDAY NOVEMBER 27 AT NOON

 

1. PROJECT TITLE (NRT-HDR:” or “NRT-INFEWS:” for projects targeting the Harnessing the Data Revolution or Nexus of Food, Energy, and Water Systems research areas, respectively. Titles for projects addressing another interdisciplinary theme of national importance must begin with “NRT:”. Any collaborative project with proposals from multiple institutions should begin with “Collaborative Research)

 

2.  The name and departmental affiliation of the Principal Investigator (PI) and the name(s) and departmental affiliation(s) of the Co-PI(s) and others composing the Core Participants (maximum 10).

 

3. PROJECT SYNOPSIS which includes:

a. Vision and goals

b .Interdisciplinary research theme

c. Main training elements

d. Integration of the research and training

e. need for the program

 

4. Target disciplines: list up to 5 primary disciplinary areas contributing to the research focus

 

Please contact Natalia Glubisz at RDS@uic.edu or 312-996-8348 with any questions.

 

If an authorized principal investigator is not listed above, please consider the limited competition still open. Contact RDS@uic.edu for further information.