Luanne Johnson « The Erlenmeyer Flask

Congratulations to our Fall 2016 Honor Roll Students!

Albrecht, Amy
Aldous, Tanner
Anderson, Jordan
Ansari, Surfyan Ahmed,
Aponso, Savinda
Ash, Kaitlyn
Austin, Molly
Bahro, Christopher
Bali, Meghan
Bierman, Jeffrey
Bryant, Natalie
Coddington, Nathan
Conroy, Jocelyn
Day, Blake
Devine, Sarah
Ferguson, Janet
Fried, Zachary
Fuller, Duncan
Gonzales, Seth
Hanson, Erin
Hargrave, Haily
Hoag, Morgan
Hochstetler, Cory
Hoffman, Zachary
Humphreys, Hunter
Kim, Maya
Koga, Kenneth
La Jeunesse, Jesse
Lachance, Jon-Luke
Lafave, Derek
Lee-Rouille, Taylor
Lew, Cassandra
Lindermann, Makayla
Liu-May, Rachel
Malone, Alexandra
Marshall, Stephanie
Matlapudi, Susmitha
Moore, Kohlson
Naas, Kayla
Ocel, Duncan
Palmiter, James
Pina, Jasmine
Potter, Kristin
Rear, Henry
Renaud, Richard
Reynolds, Tyelor
Richards, Maxson
Rist, Benjamin
Ruark, Collin
Ryu, Jennifer
Sandwisch, Jason
Simpson, Avery
Stout, Kenneth
Tully, Sara
Turner, Allison
Vergis, John
Walker, Mesa

Program Solicitation
NSF 17-532

Replaces Document(s):
NSF 15-563

National Science Foundation

Directorate for Education & Human Resources
Research on Learning in Formal and Informal Settings
Division of Graduate Education

Full Proposal Deadline(s) (due by 5 p.m. submitter’s local time):

March 15, 2017

SUMMARY OF PROGRAM REQUIREMENTS

General Information

Program Title:

Building Community and Capacity in Data Intensive Research in Education (BCC-EHR)

Synopsis of Program:

As part of NSF’s Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21) activity, the Directorate for Education and Human Resources (EHR) seeks to enable research communities to develop visions, teams, and capabilities dedicated to creating new, large-scale, next-generation data resources and relevant analytic techniques to advance fundamental research for areas of research covered by EHR programs. Successful proposals will outline activities that will have significant impacts across multiple fields by enabling new types of data-intensive research. Investigators should think broadly and create a vision that extends intellectually across multiple disciplines and that includes—but is not necessarily limited to – areas of research funded by EHR.

Cognizant Program Officer(s):

Please note that the following information is current at the time of publishing. See program website for any updates to the points of contact.

John C. Cherniavsky, 855.37, telephone: (703) 292-5136, email: jchernia@nsf.gov

Finbarr (Barry) Sloane, 890.04, telephone: (703) 292-8465, email: fsloane@nsf.gov

Applicable Catalog of Federal Domestic Assistance (CFDA) Number(s):

47.076 — Education and Human Resources

Award Information

Anticipated Type of Award: Standard Grant

Estimated Number of Awards: 5

Anticipated Funding Amount: $2,500,000

pending availability of appropriations

Eligibility Information

Who May Submit Proposals:

The categories of proposers eligible to submit proposals to the National Science Foundation are identified in the Grant Proposal Guide, Chapter I, Section E.

Who May Serve as PI:

There are no restrictions or limits.

Limit on Number of Proposals per Organization:

There are no restrictions or limits.

Limit on Number of Proposals per PI or Co-PI:

There are no restrictions or limits.

Proposal Preparation and Submission Instructions

A. Proposal Preparation Instructions

Letters of Intent: Not required

Preliminary Proposal Submission: Not required

Full Proposals:
- Full Proposals submitted via FastLane: NSF Proposal and Award Policies and Procedures Guide, Part I: Grant Proposal Guide (GPG) Guidelines apply. The complete text of the GPG is available electronically on the NSF website at: http://www.nsf.gov/publications/pub_summ.jsp?ods_key=gpg.
- Full Proposals submitted via Grants.gov: NSF Grants.gov Application Guide: A Guide for the Preparation and Submission of NSF Applications via Grants.gov Guidelines apply (Note: The NSFGrants.gov Application Guide is available on the Grants.gov website and on the NSF website at: http://www.nsf.gov/publications/pub_summ.jsp?ods_key=grantsgovguide)

B. Budgetary Information

Cost Sharing Requirements:

Inclusion of voluntary committed cost sharing is prohibited.

Indirect Cost (F&A) Limitations:

Not Applicable

Other Budgetary Limitations:

Not Applicable

C. Due Dates

Full Proposal Deadline(s) (due by 5 p.m. submitter’s local time):

March 15, 2017

Proposal Review Information Criteria

Merit Review Criteria:

National Science Board approved criteria apply.

Award Administration Information

Award Conditions:

Standard NSF award conditions apply.

Reporting Requirements:

Standard NSF reporting requirements apply.

TABLE OF CONTENTS

Summary of Program Requirements

I. INTRODUCTION

As part of NSF’s Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21) activity, the Directorate for Education and Human Resources (EHR) seeks to enable research communities to develop visions, teams, and capabilities dedicated to creating new, large-scale, next-generation data resources and relevant analytic techniques to advance fundamental research for areas of research covered by EHR. Successful proposals will outline activities that will have significant impacts across multiple fields by enabling new types of data-intensive research. Investigators should think broadly and create a vision that extends intellectually across multiple disciplines and that includes-but is not necessarily limited to-areas of research covered by EHR.

II. PROGRAM DESCRIPTION

For information about EHR fields to which proposals might be relevant, investigators should consult EHR’s main home page. Prospective PIs are encouraged to consult the list of previously funded awards (available on the BCC-EHR Program web site) to better understand the topics that have been funded and to evaluate the innovativeness of their own proposed project.

The purpose of this solicitation is to encourage submission of proposals for activities that will enable communities to develop visions for data-intensive EHR areas of research. In some cases, large scale data repositories may already exist, but the infrastructure such as tools and communities to utilize the data may be in need of development. In other cases appropriate activities may include the design of large scale data repositories and/or associated analytic tools.

Data in repositories could include traditional relational data, collections of interactions data, video data, or one of many other forms of structured sets of data. The primary objectives of proposals under this solicitation are to organize a research community or engage an existing research community to design and, perhaps, prototype data-intensive research infrastructure for EHR areas of research. The BCC-EHR program will not support implementation of such infrastructure. For the purpose of this competition, data-intensive research is defined as research involving data resources that are well beyond the storage requirements, computational intensiveness or complexity that is currently typical of the areas of research funded by EHR. Proposals should make clear how the proposed activities will enable promising EHR research that would not otherwise be possible.

Submitted proposals for FY 2017 should focus on the development of communities, or the utilization of existing communities, to develop plans for data repository design or utilization, and to develop infrastructure (including analytic tools) within which identified research may effectively proceed. The NSF’s Research Coordination Network (RCN) solicitation and past RCN awards may provide helpful examples of ways to structure community building activities. RCN solicitation requirements, however, do not apply to BCC proposals. While the development of a prototype is permissible, the focus of FY 2017 projects should NOT be the implementation of a full-scale data resource, but rather building a broader community and/or capacity to design and eventually use a resource.

This will be the final BCC-EHR solicitation. Established research communities in EHR that have already identified the need for specific large scale data resources and/or associated analytics may also consider submitting to the Data Infrastructure Building Blocks (DIBBS) program, NSF 17-500, or to submit a research proposal to EHR Core Research, NSF 15-509.

Successful proposals will outline activities that will have significant impacts across multiple fields by enabling new types of data-intensive research. Investigators should think broadly and create a vision that extends intellectually across multiple disciplines and that includes–but is not necessarily limited to-areas of research funded by EHR. Proposals will need to describe the bodies of data and other resources that will be involved in the infrastructure. Infrastructure includes data, data structures, metadata, analytics and those tools needed to facilitate educational and STEM education research. Investigators should think creatively about data and consider new data collections, repurposed existing data, and new approaches to data as appropriate for the research questions of interest. Novel approaches are encouraged. Proposals should have a well-defined work plan with steps sufficiently detailed.

An explicit goal of this competition is to focus on building the community and capacity to enable broad and large scale infrastructure which extends well beyond a single discipline and which will be utilized by a large number and wide range of researchers. While it is acceptable, for example, to focus data collection on a single city or geographic region, the relevance of the proposed work should be of interest to a national or international community.

Applicants should examine the following questions in an integrated manner – to the extent that they are relevant to their own projects.

Science:

What broad, important, fundamental research questions will be addressed?
Since this is a capacity and community building program, what research communities would be interested in exploring these questions?

Information technology:

What kinds of data are anticipated, including the metadata and the broader infrastructure in which data are embedded? (The data involved may be newly gathered, newly aggregated and/or newly created.)
How will the data be collected? If the data repositories are novel (e.g., not a relational database), what would be their design? What new analytic or statistical approaches are needed to analyze the data?
What infrastructure is required to ensure access to and long-term maintenance of these large-scale data?

Governance:

How will the research communities involved in the project address governance as they relate to issues such as sustainability, access and ethical use of data?

Community building and identification:

How will relevant individuals and communities be identified and integrated into the project?
How will input be obtained and necessary networks established?

Applicants are strongly encouraged to include, as part of the project description, a discussion of any social and public policy issues that relate to the type, use, and acquisition of data associated with the large-scale data repository envisioned for their project. Topics bearing on these issues could include the ethical uses of these data, the protection of human-subject privacy and data-confidentiality, and how the broader social impacts of the enabled research can enhance the well-being of society and its members. Whenever feasible, the voluntary participation of human subjects should be secured by means of explicit opt-in procedures. The protection of human subjects is of paramount importance for many proposals to BCC-EHR; if the proposed project will involve the use of human data or data related to human activities, PIs should consult with their local institutional review board to obtain either IRB approval or official letters of exemption. BCC-EHR proposals will not be recommended for awards until and unless appropriate IRB approval or exemption documents have been submitted to NSF.

The size and scale of a proposal should be determined by the readiness of the research community: some may be just forming, while others may be ready to expand membership or to build prototypes. This solicitation encourages proposals from communities at all levels of preparedness.

To ensure that the research project has value to a wide community, investigators are encouraged to involve researchers from multiple research disciplines. Proposals should contain dissemination plans that include an outline of how the broader research community will be able to examine, comment on, and otherwise contribute to, or benefit from, the proposed effort.

III. AWARD INFORMATION

Normal limits for funding requests of BCC proposals are up to $500,000 with award durations up to three years. Estimated program budget, number of awards and average award size/duration are subject to the availability of funds.

The Erlenmeyer Flask

Where diverse minds inspire endless innovation.

Author Archives: Luanne Johnson

Undergraduate Award Program for Outstanding Achievement in Organic Chemistry

Honors College course proposals and grants

Disability Access Services Open House/Lab for Faculty and Staff at the DAS Testing Center

Fall 2016 Honor Roll

NSF Updates

Nominations for 2017 Distinguished Professors

Incentive Programs

Faculty Funding Opportunity

Student Startups Sought

Building Community and Capacity in Data Intensive Research in Education (BCC-EHR)

Contact Info