ERC: Funding Opportunities Fair Partnerships for Innovation: Building Innovation Capacity (PFI:BIC) --“Smart” Service Systems-- Sara B. Nerlove, Ph.D.

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ERC: Funding Opportunities Fair Partnerships for Innovation: Building Innovation Capacity (PFI:BIC) --“Smart” Service Systems-- Sara B. Nerlove, Ph.D. Program Director Industrial Innovation and Partnerships Directorate for Engineering National Science Foundation October 28, NSF Th e pre sen tati on wil l be ava ila ble foll owi ng the we bin ar htt p:// ww w.n sf.g ov/ eng /iip /in nov atio n/B IC.j sp

What is PFI:BIC? An academe-industry partnership led by an interdisciplinary academic research team collaborating with at least one industry partner which has commercial revenues in order to carry out research to: – advance, adapt, and integrate technology into a specified human-centered smart service system. The objective is to create or transform a “smart(er)” service system that has the potential for significant social and economic impact. Industrial Innovation & Partnerships 2 Reference I. Introduction and II. Program Des cription in the solicitation for further description of PFI:BIC

Solicitation: NSF Key Facts Letter of Intent (LOI) required: December 3, 2014 Full proposal submission deadline: January 28, 2015 Awards: up to $1,000,000/3-year duration – Estimated: 10 awards – Anticipated funding: $10,000,000 Submission restrictions: – One (1) submission opportunity/year – Two (2) proposals per institution, each proposal, respectively, pursuant to its own LOI. – Principal Investigator (PI) who proposes Cannot be concurrently a PI on an active award from the NSF PFI:BIC program PI cannot submit both to the PFI:BIC and to the PFI:AIR program for funding with FY 2015 funds Industrial Innovation & Partners with hips 3

Successful Integration into a Smart Service System Requires a Range of Disciplines in Addition to those Related to the Technology (1) Systems Engineering or Engineering Design – To provide knowledge of service system design and system integration issues. (2) Computer Science/Information Technology – To provide knowledge of considerations involving data transfer, communication and/or data processing needed for successful integration of the technology into a “smart” service system. (3) Human Factors/Behavioral Science/Cognitive Engineering – To provide knowledge of the potential effects of human factors as they interact with the technology proposed. These findings will have an impact on ensuring that the design of the “smart” service system is human-centered. Industrial Innovation & Partnerships 4