Physical Sciences & Engineering

NSFBAA-ENGINES-2022-05-1: 2022 NSF Regional Innovation Engines Concept Outlines

S. Fleming
W. Burleson
J. Roveda
H. Hua
M. Barton
M. Van Dyke

June 2022 update: RII/RDS has identified proposal teams who are working on concept outlines. PIs interested in collaborating on a concept outline should please email RDS with questions.

While NSF currently allows more than one concept outline to be submitted by an institution, UArizona may ultimately only submit one full proposal. Therefore, due to the complexity and scope of this program, RII is Institutionally Coordinating the submission of Concept Outlines to NSF, as well as the full proposal once NSF's invitations have been sent out.

Research Development Services hosted an informational webinar about the NSF Regional Innovation Engines solicitation on May 16th that included an overview of the opportunity, a discussion on the internal coordination process, and short introductions to some of the regional innovation partners available for proposing teams. Please Contact RDS for a copy of the recording. Joining Research Development was a panel consisting of Tech Launch Arizona, Tech Parks Arizona, Arizona FORGE, CyVerse, and Government & Community Relations.


Full sponsor guidelines

The NSF Regional Innovation Engines (NSF Engines) program is a bold new initiative, committed to creating regional-scale, technology-driven innovation ecosystems throughout every region of the United States, accelerating emerging technologies, driving economic growth, addressing key societal challenges, and maintaining national competitiveness.

The NSF Engines program aims to fund regional coalitions of partnering organizations to establish NSF Engines that will catalyze technology and science-based regional innovation ecosystems. Each Engine must focus on addressing specific aspects of a major societal and/or economic challenge that are of significant interest in the Engine’s defined “region of service,” where such a region could range from a metropolitan area (including its adjacent rural regions) to an area spanning parts of several states. The mission of an Engine must be clearly rooted in regional interests and the development of regional talent. The emphasis on “regions” expresses NSF’s aim to stimulate innovation-driven economic growth within a particular region of service. The NSF Engines program is particularly interested in creating new business and economic growth in those regions of America that have not fully participated in the technology boom of the past several decades.

NSF will fund Engines to carry out an integrated and comprehensive set of activities spanning use-inspired research, translation-to-practice, entrepreneurship, and workforce development to nurture and accelerate regional industries. Engines must also work to bring together an inclusive and diverse network of partners and stakeholders who will participate in the regional innovation ecosystem. With the goal of advancing emerging industries and creating societal and economic value, NSF Engines will emphasize research that meaningfully engages the consumers of research outcomes in motivating that research as well as in the subsequent prototyping and piloting of research-based solutions (i.e., co-design and co-creation), the translation of research results to practice, entrepreneurship, and direct economic growth.

Funding for this program will prioritize regions across the Nation without well-established innovation ecosystems. Engines in regions of the country where prospective ecosystem members exist, but where innovation activities are only loosely connected, are of particular interest.

Concept Outline Narrative Components must include (from the solicitation)

The Concept Outline narrative must address each component below, with the following labeled sections: (Concept outlines for Type-1 proposals should only address Sections a-d, below:

  • Topic Area: Describe the national and societal significance of the broad topic area that the Engine is aiming to address.
  • Region of Service: A brief description of the intended geographical region of service, and the current state of the innovation ecosystem in the region of service (see Appendix A).
  • Purpose and Vision of the proposed Engine: The overall purpose and vision of the proposed Engine, which must list specific use-inspired challenge(s) that the Engine will address, as well as the current state of practice and major gaps the Engine will focus on (e.g., scientific and technological innovations, policy, products, services, workforce expertise).
  • Regional Importance and Impact: How the proposed region of service is well-positioned to create the Engine, catalyze the associated regional innovation ecosystem, and result in meaningful translational outputs (e.g., products, services, startup companies, tools, and technologies).

Narratives for Type-2 Concept Outlines must also include:

  • Partnerships: The envisioned regional innovation ecosystem of partners and stakeholders, clearly identifying (1) existing core partners and their expected contributions and (2) potential additional partners, how such partners would help accomplish the Engine’s vision and core functions, and plans to recruit these partners prior to the submission of the proposal.
  • Workforce Development: The future regional workforce needs in the proposed topic area.
  • Related Initiatives: How the proposed NSF Engine differs from and/or leverages other existing large-scale efforts in the topic area.
Internal Deadline
External Deadline
06/30/2022
Solicitation Type

DE-FOA-0002726: 2022 DOE Data Visualization for Scientific Discovery, Decision-Making, and Communication

No applicants // Limit: 2 // Tickets Available: 2 

Applicant institutions are limited to both:

  • No more than two pre-applications or applications as the lead institution in a multiinstitution team; and
  • No more than one pre-application or application for each PI.
Internal Deadline
External Deadline
05/10/2022

2022 July NSF Partnerships for Innovation (PFI) Research Partnerships track

No applicants // Limit: 1 // Tickets Available: 1 

 

There is no institutional limitation on the Technology Translation track; however, we encourage you to contact RDS for industry engagement and proposal development support. Contact RDS if you are interested in applying to the Technology Translation track.

  1. The Partnerships for Innovation (PFI) Program funds technology translation and development based on prior NSF-funded research projects from all science and engineering disciplines supported by NSF.
  2. PFI contains two separate tracks for submission: PFI-Technology Translation (PFI-TT) and PFI-Research Partnerships (PFI-RP).
Internal Deadline
External Deadline
07/13/2022
Solicitation Type

DE-FOA-0002705: 2022 Artificial Intelligence Research for High Energy Physics

UArizona may submit four Letters of Intent.

Ticket #1: T. Eifler

The DOE SC program in High Energy Physics (HEP) hereby announces its interest in new applications for support of Artificial Intelligence Research for High Energy Physics. This FOA refers to research into and development of computational systems that take action to achieve a goal as Artificial Intelligence (AI) research and may include Machine Learning (ML) techniques as appropriate. This Announcement invites applications for AI research in three topic areas: AI research for HEP, HEP for AI research, and development of an HEP AI Ecosystem. The HEP program explicitly encourages applications from non-traditional HEP institutions and researchers that may broaden the participation in HEP research and the AI sub-field.

 

Internal Deadline
External Deadline
04/21/2022 (Required LOI)

W.M. Keck Foundation Research Program concept paper Spring 2022

Hee-Dae Kim

UArizona may submit four Concept Papers in medical sciences and four Concept papers in physical sciences and engineering.

The W.M. Keck Foundation Research Program uses a three-step process for this opportunity. The first step is a Concept paper. The Undergraduate Education program is currently not accepting concept papers. The next steps are by the foundation’s invitation. UArizona review criteria reflect previous interactions with the W.M. Keck Foundation. Proposals should focus on basic, fundamental science with broad applications.

The proposed work should show a significant leap forward rather than an extension of existing work. 

To be considered by Keck, applicants must have a statement from a federal program officer expressing that the project is not a good fit due to risk (rather than technical or theoretical fit) or a decline from a federal program where the summary statement or individual reviews highlight the incredible novelty, but the high-risk nature that makes it difficult to fund at the federal level.

Internal Deadline
External Deadline
07/01/2022
Solicitation Type

DE-FOA-0002581: 2022 Urban Integrated Field Labs (IFL)

T. Meixner

UArizona may submit one pre-application as the lead institution.

RDS is offering two Department of Energy Urban Integrated Field Labs (IFL) UArizona Collaboration Webinars:

March 31, 3p to 4p
April 1, 12p to 1p

This opportunity is Institutionally Coordinated through this internal competition selection due to the short deadline and relevance to multiple areas on campus.

Limited Submissions language from the solicitation: Applicant institutions are limited to no more than one letter of intent, pre-application, or application as lead institution.

The Urban IFLs will necessarily involve diverse scientific disciplines to develop comprehensive projects including field observations, data assimilation, modeling, and model data fusion, to inform equitable solutions based on state-of-the-art uncertainty quantification and data analytics. Applications must be multi-institutional and focus on the development of a single IFL. Interested faculty are encouraged to partner with colleagues at ASU and NAU.

DOE Informational Webinar slides

Internal Deadline
External Deadline
04/19/2022 (pre-application) 06/16/2022 (application)

NSF 22-574: 2022 Training-based Workforce Development for Advanced Cyberinfrastructure (CyberTraining)

No applicants // Limit: 1 // Tickets Available: 1 

 

UArizona is limited to one CIP proposal per CyberTraining program competition. Only submit to this internal competition if you are proposing a CIP proposal.

This program seeks to prepare, nurture, and grow the national scientific research workforce for creating, utilizing, and supporting advanced cyberinfrastructure (CI) to enable and potentially transform fundamental science and engineering (S&E) research and education and contribute to the Nation's overall economic competitiveness and security. There are no restrictions or limits on Pilot or Implementation proposals.

Internal Deadline
External Deadline
05/16/2022
Solicitation Type

DE-FOA-0002676: 2022 Chemical and Materials Sciences to Advance Clean Energy Technologies and Low-Carbon Manufacturing

Ticket #1: F. Goeltl

UArizona may submit up to 2 pre-applications or applications for multi-PI efforts and up to 3 pre-applications or applications for single-PI efforts, for a combined total of no more than 3 pre-applications or applications.

The DOE SC program in Basic Energy Sciences (BES) announces its interest in receiving new applications from single principal investigators (PIs) and from small teams to advance basic and fundamental chemical and materials sciences that underpin clean energy technologies and low-carbon manufacturing. The goal is creation of foundational knowledge to support the development of approaches that will minimize climate impacts of energy technologies and manufacturing. For this FOA, clean energy technologies include approaches to capture, produce, convert, store, and use energy that reduce or eliminate unwanted emissions such as greenhouse gases (e.g., carbon dioxide, methane, etc.). These technologies also include approaches such as direct air capture (DAC) and carbon storage/sequestration to decrease emissions that have been released into the environment from energy production and use. Low-carbon manufacturing refers to manufacturing processes that minimize carbon emissions and energy consumption. Investments from this FOA are anticipated to include awards that build foundational knowledge underpinning the Energy Earthshots Initiative.

Internal Deadline
External Deadline
03/16/2022