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:



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:


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

2017 MSM Consortium Meeting

10th Anniversary Celebration of the IMAG Multiscale Modeling Consortium meeting: March 22-24, 2017. Stay tuned!

A Notice by the Science and Technology Policy Office<> on 06/27/2016:

Summary: Today (June 27, 2016), the White House Office of Science and Technology Policy is announcing a Request for Information soliciting public input on the subject of artificial intelligence.

“Artificial intelligence (AI) technologies offer great promise for creating new and innovative products, growing the economy, and advancing national priorities in areas such as education, mental and physical health, addressing climate change, and more. Like any transformative technology, however, AI carries risks and presents complex policy challenges along a number of different fronts. The Office of Science and Technology Policy (OSTP) is interested in developing a view of AI across all sectors for the purpose of recommending directions for research and determining challenges and opportunities in this field. The views of the American people, including stakeholders such as consumers, academic and industry researchers, private companies, and charitable foundations, are important to inform an understanding of current and future needs for AI in diverse fields. The purpose of this RFI is to solicit feedback on overarching questions in AI, including AI research and the tools, technologies, and training that are needed to answer these questions.”


WH Blog:

Updated IMAG Wiki Domain Name

IMAG Wiki can now be accessed exclusively through the following link:

Please note that older domain names such as will no longer remain active.

Help us to successfully disseminate the Avicenna Roadmap!

Dear Colleagues,With the successful publication of the Roadmap, we are now working on a Communication/Social Media strategy with the European Commission so that this document reaches as wide an audience as possible to ensure the value of all your work is implemented by policy makers. 

Successful communication and social media campaigns require a coordinated approach and to that end the Avicenna Alliance, the resulting Association for Predictive Medicine with 50% VPHi and 50% industry representation, is developing a comprehensive campaign.  If you are engaged on social media - be it Twitter, Facebook, Linkedin and however active you may be, your collaboration would be greatly appreciated. Asaf Covo will manage the communication campaign and will be happy to get the contact details of the people we could coordinate with on a later stage, explaining the way we will collaborate.  If you would be willing to help ensure that our work of 2 years is read far and wide, please contact Asaf at to play your part. Kind regards, Avicenna team