The purpose of the announcement is to invite applications from applicants who have an interest in performing high impact, cutting-edge scientific and computing activities necessary to establish an NIH Data Commons. The goal of the NIH Data Commons is to accelerate new biomedical discoveries by providing a cloud-based platform where investigators can store, share, access, and compute on digital objects (data, software, etc.) generated from biomedical research and perform novel scientific research including hypothesis generation, discovery, and validation. Applicants are encouraged to develop innovative approaches to one or more key computational, data, analytical and scientific capabilities of the Data Commons. These key capabilities are described in detail in the announcement.

Awards under Research Opportunity Announcement RM-17-026 will made using Other Transactions (OTs), which are not grants, cooperative agreements, or contracts. It is essential applicants carefully follow the instructions in the announcement as they likely will be different from what they are used to seeing.


Letters of Intent (LOIs) are required, and are due June 30, 2017 (5:00 PM United States Eastern Time).  LOIs will be used to select individuals or groups who will be invited to submit an application by July 12. Only those who are invited may apply. Applications submitted without an invitation from the NIH will be returned and not reviewed. NIH expects to make several OT awards under this announcement. The planned budget for this announcement is $21 million over a 4-year period.


Inquiries about RM-17-026 should be directed to:

FOA Link:

The National Institute of Biomedical Imaging and Bioengineering (NIBIB), in partnership with the National Institute on Aging (NIA), announces an opportunity for NIBIB-supported investigators to request administrative supplements to develop new tools, technologies and approaches for the prevention, diagnosis, treatment and understanding of Alzheimer's Disease and Alzheimer's-disease-related dementias (AD/ADRD). These supplements will be funded by NIA as part of the NIA strategic plan to support the development of innovative strategies to prevent, diagnose and treat AD/ADRD.

Administrative supplement requests should be submitted to PA-16-287, Administrative Supplements to Existing NIH Grants and Cooperative Agreements The requested supplemental budget cannot exceed $100,000 in direct costs for up to 12 months. The project and budget periods of the supplement request must be within the currently approved project period for the existing parent award.

Supplements will be considered for active NIBIB-funded projects that may have important application in AD/ADRD. Administrative supplements may be awarded to meet increased costs that are within the scope of the approved award, but were unforeseen when the application was submitted. For the purposes of this Notice, "within scope" may include the addition of an AD/ADRD-relevant component to a project employing or developing a broadly applicable technology. Applicants are strongly encouraged to discuss the aims of the proposed work with the NIBIB program officer assigned to the parent grant to assess suitability for this funding opportunity.

Requests must be received by July 3, 2017. 

The purpose of this funding opportunity is to develop new and/or enhance existing tools and technologies to facilitate high-resolution mapping of peripheral neural circuits.


The next quarterly deadline for pre-applications is approaching on August 1, 2017.


Only tool and technology categories listed on the SPARC FOA Priorities page for the current receipt date are responsive to this funding opportunity. Future receipt dates will have different priorities based on program needs. Current priorities include sample preparation, imaging and targeting, modeling and simulation, surgical access tools, neural interfaces, and serving as a consortium-wide service provider for specified activities.

Questions should be addressed to

Potential applicants may view the RM-17-009 Informational Webinar slides (PDF).

The SPARC team will be holding virtual office hours for potential applicants. We strongly encourage using these as an opportunity to ask questions and discuss your ideas with the SPARC team. Visit to sign up.

See the announcement here: RM-17-009 (PDF)

The Joint Program Committee-1 (JPC-1) Office has a job opening for a "Health Science Administrator", to "serve as a senior staff advisor to the Medical Simulation and Information Sciences Research Program Director"

The official announcement is available at:

Closing Date: June 6, 2017

Please refer comments or questions to Dr. Jan Harris, Director, JPC-1, at her Email address:

SPARC Funding Opportunities

The NIH Stimulating Peripheral Activity to Relieve Conditions (SPARC) program seeks to advance understanding of the neural control of organ function, laying a mechanistic foundation for the next generation of therapeutic closed-loop neuromodulation devices. The SPARC team has released two new funding announcements soliciting: 1) applications to develop a Data and Resource Center to support this mission; and 2) applications to develop New Tools to support this mission.

1) RFA-RM-16-008, Data Coordination, Map Synthesis, and Simulation Cores for the SPARC Program:

Develop the SPARC Data and Resource Center, a central online hub with three core functions: 1) store and facilitate access to all data generated by SPARC; 2) build interactive visualizations of nerve-organ anatomy and function; and 3) host models that predict the effects of nerve stimuli on organ function. Bioinformatics and data science experts are encouraged to apply. Letters of Intent (LOI) are required and are due by April 7, 2017. Following LOI submission, a subset of applicants will be invited to submit a full application, which is due by June 2, 2017.

Questions should be addressed to

2) RFA-RM-17-009, Technologies to Understand the Control of Organ Function by the Peripheral Nervous System:

Develop new and/or enhance existing tools and technologies to facilitate high-resolution mapping of peripheral neural circuits. Pre-applications will be accepted on a regular basis, beginning May 1, 2017. Specific priorities for the current receipt date are posted at; future receipt dates will have different priorities based on program needs.  Current priorities include:

·         Computational models to assess safety limits of stimulation and/or blocking of neural activity (e.g. biophysics and regulatory science for neural interfaces)

·         Computational models of neuromodulation that incorporate variability due to individual subject differences

·         Biophysical models of electrical, infrared, or ultrasonic neuromodulation that predict methods for selectively activating or blocking specific fiber types and locations. These computational models should be predictive of side effects (i.e. other fibers that may be activated or blocked).

Questions should be addressed to


The SPARC team will be holding virtual office hours for potential applicants. We strongly encourage using these as an opportunity to ask questions and discuss your ideas with the SPARC team. Visit to sign up.  We will also hold a webinar at a date to be determined soon.


These  announcements solicit applications under the Other Transactions mechanism. Applications will be considered from higher education institutions, small and large corporations, foreign organizations, non-profits, other federal and state agencies, as well as individuals not affiliated with an organization. Potential applicants are encouraged to learn more about Other Transactions, which are not grants, contracts, or cooperative agreements:


File2017 DCL RFI NSF CI 2030_wide.pptx

Dear Colleague Letter: Request for Information on Future Needs for Advanced Cyberinfrastructure to Support Science and Engineering Research (NSF CI 2030)

Deadline for submissions: April 5, 2017,  5:00 PM ET.

- NSF has launched an effort to refresh the Foundation’s cyberinfrastructure vision and strategy, as the current activity, Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21), completes its final year.
- NSF invites contributions from the whole science, engineering, education, and CI research community to inform this planning effort. We seek input on scientific challenges, associated cyberinfrastructure needs, and bold ideas to advance research frontiers over the next decade and beyond. 
- Dear Colleague Letter: The DCL points to the required submission website (direct link:



Multiscale Modeling - Joint Funding Notice

The following Notice was just released to emphasize the interest of the Interagency Modeling and Analysis Group (IMAG) in promoting joint agency funding through the Multiscale Modeling Initiative, Please contact the agency contacts for further information.

NIH BD2K 2017 Webinar Series: Fundamentals of Data Science

The NIH Big Data to Knowledge program is pleased to announce the spring semester of The BD2K Guide to the Fundamentals of Data Science, a series of online lectures given by experts from across the country covering a range of diverse topics in data science.  This course is an introductory overview that assumes no prior knowledge or understanding of data science.


The series will run through May, meeting once per week at 12noon-1pm Eastern Time/9am-10am Pacific Time. No registration is required.


To join the lecture:


This is a joint effort of the BD2K Training Coordinating Center, the BD2K Centers Coordination Center, and the NIH Office of the Associate Director of Data Science.


The first semester of the series covered Data Management and Data Representation.  This semester will cover computing, data modeling, and overarching topics.  To see archived presentations, go to:





The following topics will be covered in January through May of 2017:


1/6/17:   Computing Overview (Patricia Kovatch, Mount Sinai)

1/13/17: Workflows/pipelines (Rommie Amaro, UCSD)

1/20/17: Running a Data Science Lab (Trey Ideker, UCSD)

1/27/17: Modern Computing: Cloud, Parallel, Distributed, HPC (Umit Catalyurek, GA Tech)

2/3/17:   Commons: lessons learned, current state (Vivien Bonazzi, NIH)



2/10/17: Data Modeling Overview (Rafael Irizarry, Harvard)

2/17/17: Supervised Learning (Daniela Witten, U Washington)

2/24/17: Unsupervised Learning (Ali Shojaie, U Washington)

3/3/17:   Algorithms, incl. Optimization (Pavel Pevzner, UCSD)

3/10/17: Bayesian inference (Mike Newton, U Wisconsin)

3/17/17: Data issues: Bias, Confounding, and Missing data (Lance Waller, Emory)

3/24/17: Causal inference (Joe Hogan, Brown)

3/31/17: Data Visualization tools and communication (Nils Gehlenborg, Harvard)

4/7/17:   Modeling Synthesis (John Harer, Duke)



4/14/17: Open science (Brian Nosek, UVa)

4/21/17: Data sharing (Christine Borgman and Irene Pasquetto, UCLA)

4/28/17: Ethical Issues (Bartha Knoppers, McGill)

5/5/17:   Reproducible Research (John Ionnaidis, Stanford)

5/12/17: Additional considerations for clinical data (Zak Kohane, Harvard)

5/19/17: SUMMARY and NIH context



Reasonable accommodation: Individuals with disabilities who need reasonable accommodation to participate in this event should contact Tonya Scott at 301-402-9827. Requests should be made at least 5 business days in advance of the event.

IMAG is celebrating the 10th Anniversary of the MSM Consortium!!!

March 22-24, 2017 @ NIH, Bethesda, MD

Check out the Interactive Agenda!

Online Registration is now closed.  You are welcome to register onsite at the meeting.

Remote Access Users:  WebEx for podium presentations


IMAG 10th Anniversary Multiscale Modeling Consortium Meeting