[STEM-funding] NSF BCC-EHR; NIH Big Data courses; USDA NIFA WAMS; AAAS institute
Christopher Andersen
andersen.18 at osu.edu
Fri May 1 06:47:56 EDT 2015
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1) The National Science Foundation' *Building Community and Capacity in
Data Intensive Research in Education (BCC-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 EHR areas of
research." From the program solicitation (
http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505161):
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 EHR areas of research. Proposals should
make clear how the proposed activities will enable promising EHR research
that would not otherwise be possible.
Submitted proposals for FY 2015 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.
This will be the final BCC-EHR solicitation.
"Normal limits for funding requests of BCC proposals are up to $500,000
with duration up to three years." Proposals are due September 1.
*2)* The National Institutes of Health has released a pair of RFPs to
support training in Big Data:
*Courses for Skills Development in Biomedical Big Data Science (R25)* (
http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-008.html):
- Courses must be highly relevant to and use biomedical Big Data but, in
general, will focus on specific areas necessary for the utilization of Big
Data, including the computational and statistical sciences, in a biomedical
context. Since solutions to Big Data problems are likely to involve
interdisciplinary teams, courses should encourage interaction and team work
among scientists with expertise in different areas. Such disciplines beyond
the biomedical sciences may include, but are not limited to, statistics,
mathematics, computer science, engineering, and design-related fields
including data visualization, interactive digital media, and human-computer
interaction.
- The short-term research education can be of varying lengths: from
one-day workshops, to one-week short courses, to summer boot camps, to
semester-long immersive experiences. Short courses are by nature limited in
time, but PDs/PIs are encouraged to create opportunities for continual
learning, both for participants and for scientists who were not able to
participate during the time that the course was offered.
- Formats may be based on traditional in-person courses, online courses,
or a hybrid of both. The development of creative formats to achieve the
proposed objectives is highly encouraged. For example, a hybrid approach
could be two-phased: an online component followed by an in-person component
with the instructor(s). Applications that propose in-person or hybrid
courses should address the necessity and benefits of travel to a central
location. Applications that propose online or hybrid courses should address
how interaction with and among the participants will be facilitated.
- Examples of activities that would *not* be responsive to this FOA:
- Curriculum or methods development
- Research experiences
- Mentoring-only activities
- Outreach
Direct costs may be up to $150,00/year for up to 3 years. Proposals are due
September 18.
*Open Educational Resources for Biomedical Big Data (R25)* (
http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-009.html):
- Scientific content must be highly relevant to the principles,
concepts, and broad classes of tools necessary for the utilization of
biomedical Big Data. The amount of content covered by the open educational
resource can vary from the amounts ordinarily seen in a one-week short
course to that in a multi-year course. The organization of content into
discrete units at multiple levels of detail, with multiple coherent
learning paths through the content, is highly encouraged to allow
personalized learning for individuals with varying backgrounds. This
approach of personalized, adaptive learning should allow individuals with
some existing knowledge to easily access appropriate content. Applicants
are encouraged to incorporate elements from other successful open
educational resources (e.g., the ability to create collections/playlists,
tools to make resources easily searchable and navigable, interactive
components, user personalizability, rating and review capabilities, and
adaptive tutoring).
- Open educational resources developed in response to this FOA should
enable individuals at all career levels to acquire new skills through
widely shared, open-learning materials tailored to biomedical Big Data.
These resources can be stand-alone projects or could be built upon other
long- and short-term BD2K training and education initiatives. Examples of
responsive projects include (1) collections of online multimedia modules
that combine text, video, and assessments; (2) interactive learning tools;
(3) a cloud-based training environment that includes multiple examples of
Big Data, exploratory/analysis tools, and computational resources; (4)
technology-driven personalized “adaptive” learning; (5) extensive online
curriculum development for a broad audience. Applications for projects that
focus on curriculum development must address how the resource will benefit
institutions other than that of the applicant. Innovation may be in
curriculum (i.e., the development of innovative Big Data content) or
methods (i.e., the innovative delivery of Big Data content).
- Examples of projects that are not responsive:
- Databases
- Static textbooks, even if downloadable online
- Courses that require significant per-participant expenditures
- Research experiences
- Mentoring activities
Direct costs may be up to $200,00/year for up to 3 years. Proposals are due
September 18.
*3)* The USDA National Institute of Food and Agriculture's *Women and
Minorities in Science, Technology, Engineering, and Mathematics Fields
Program (WAMS)* "supports research and extension projects that have robust
collaborations to increase the participation of women and underrepresented
minorities from rural areas in science, technology, engineering, and
mathematics fields that are relevant to USDA priorities." From the RFA (
http://nifa.usda.gov/funding-opportunity/women-and-minorities-science-technology-engineering-and-mathematics-fields
):
The FY 2015 WAMS grant opportunity should be aligned with the six NIFA
Priority Areas:
1. Agricultural & Natural Resources Science for Climate Variability and
Change
2. Food Security and Hunger
3. Food Safety
4. Water for Agriculture
5. Childhood Obesity Prevention; and,
6. Sustainable Bioenergy.
Please note that at least one of these Need Areas must be indicated on the
Project Summary:
a. Curriculum Design, Materials Development, and Library Resources
b. Faculty Preparation and Enhancement of Teaching
c. Instruction Delivery Systems
d. Scientific Instrumentation for Teaching and Research
e. Student Experiential Learning
f. Student Recruitment, Retention, and Educational Equity (including the
provision of student financial assistance)
In addition to the Education Need Areas, applications may choose to develop
studies that have relevancy and application within the communities that
these institutions serve.
a. Applied Studies in the Food and Agricultural Sciences
b. Applied Research Support Systems
c. Technology-based Information Delivery Systems
d. Other Applied Research and Community Development Applications
Projects may be 1–3 years. "NIFA estimates that awards for Regular Grant
(individual institution) applications will be in the range of $75,000 to
$150,000 (total amount – not per year). NIFA estimates that awards for
Consortium Grant (multiple institutions within a state) applications will
be in the range of $300,000 (total, not per year)." Proposals are due May
29.
4) At the National Alliance for Broader Impacts Summit this week, AAAS
announced a new* Leshner Leadership Institute for Public Engagement with
Science,* an annual meeting during which "a cohort of 15 scientist-leaders
from disciplines at the nexus of important science-society issues will
convene for a week of intensive public engagement and science communication
training and public engagement plan development. The scientist-leaders will
return to their institutions with a renewed commitment to develop and
implement public engagement activities, a forum for training other
scientists in their communities, and increased capacity for public
engagement leadership" (http://www.aaas.org/pes/leshner-leadership-institute
).
[image: The Ohio State University]
Christopher Andersen
Director
STEM (Science, Technology, Engineering, Mathematics) Initiatives
186 University Hall, 230 North Oval Mall, Columbus, OH 43210-1335 USA
andersen.18 at osu.edu
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