Tuesday, December 29, 2020
NIH Awards 28 Supplements to Advance Software Tools for Open Science

In 2020 the National Institutes of Health (NIH) Office of Data Science Strategy (ODSS) and 24 institutes and centers (ICs) at NIH announced a notice for administrative supplements to enhance software tool development for open science (NOT-OD-20-073). Twenty-eight awards were made in the fall of 2020 to principal investigators at 26 different institutions across the United States.
These supplements will invest in research software tools with recognized value in a scientific community to enhance their impact by leveraging best practices in software development and advances in cloud computing. The supplements are intended to support collaborations between biomedical scientists and software engineers to enhance the design, implementation, and “cloud-readiness” of research software.
Through these awards, the NIH Office of Data Science Strategy and a trans-NIH team will help researchers who have developed scientifically valuable software to make tools sustainable, contribute to open science, and take advantage of new data science and computing paradigms.
Principal Investigator |
Institution |
Project Title |
NIH IC |
---|---|---|---|
Apkar Vania Apkarian |
Northwestern University at Chicago |
Brain Pathophysiology of Osteoarthritis Pain |
NIAMS |
Sylvain Bouix |
Brigham and Women's Hospital |
High Resolution, Comprehensive Atlases of the Human Brain Morphology |
NIMH |
Gregory R Bowman |
Washington University |
Allosteric impact of non-active-site mutations on enzymatic function |
NIGMS |
Laurel H. Carney |
University of Rochester |
Auditory Processing of Complex Sounds |
NIDCD |
Brian Yuan Chen |
Lehigh University |
Algorithmic identification of binding specificity mechanisms in proteins |
NIGMS |
Gerardo Andres Cisneros |
University of North Texas |
Investigation of DNA Modifying Enzymes by Computational Simulations: Development and Applications |
NIGMS |
Gaudenz Danuser |
UT Southwestern Medical Center |
Functional causality in regulating cell morphogenesis |
NIGMS |
Shireen Youssef Elhabian |
University of Utah |
Anatomy Directly from Imagery: General-purpose, Scalable, and Open-source Machine Learning Approaches |
NIAMS |
Melanie Fried-Oken |
Oregon Health & Science University |
Clinic Interactions of a Brain-Computer Interface for Communication |
NIDCD |
Ryan Gutenkunst |
University of Arizona |
Joint inferences of natural selection between sites and populations |
NIGMS |
John H.L. Hansen |
University of Texas Dallas |
CCI-Mobile: Signal Processing Advancements for Cochlear Implant Users in Naturalistic Environments |
NIDCD |
Carl Kesselman |
University of Southern California |
USC FaceBase III Craniofacial Development and Dysmorpholoy Data Management and Integration Hub |
NIDCR |
Steven H. Kleinstein |
Yale University |
Computational tools for the analysis of high-throughput immunoglobulin sequencing experiments |
NIAID |
Francine Laden |
Harvard School of Public Health |
Relationship Between Multiple Environmental Exposures and CVD Incidence and Survival: Vulnerability and Susceptibility |
NIEHS |
Suzanne Margaret Leal |
Columbia University Health Sciences |
Innovative approaches to elucidate the genetic etiology of age-related hearing impairment and tinnitus |
NIDCD |
Yaling Liu |
Lehigh University |
Multiscale Predictive Modeling of Blood Cell Damage with Experimental Verification |
NHLBI |
Shaun Aengus Mahony |
Pennsylvania State University-University Park |
Genome-wide structural organization of proteins within human gene regulatory complexes |
NIGMS |
Nadine Martin |
Temple University of the Commonwealth |
Translation and Clinical Implementation of a Test of Language and Short-term Memory (STM) in Aphasia |
NIDCD |
David P Miller |
Wake Forest University Health Sciences |
Effectiveness and Implementation of mPATH-CRC: A Mobile Health System for Colorectal Cancer Screening |
NCI |
David Lowell Mobley |
University of California-Irvine |
Advancing predictive physical modeling through focused development of model systems to drive new modeling innovations |
NIGMS |
Matteo Pellegrini |
University of California Los Angeles |
Enhancing the International Molecular Exchange (IMEx): Providing an Improved Community-Oriented Molecular Interactions Resource |
NIGMS |
Bjoern Peters |
La Jolla Institute for Immunology |
Developing computational models to predict the immune response to B. pertussis booster vaccination |
NIAID |
David Claude Richardson |
Duke University |
Extending MolProbity Diagnosis & Healing Methods to Empower Better CryoEM & Xray Models at 2.5-4A Resolution, plus Versioned, Redeposited GEMS for Important Individual Structures |
NIGMS |
Pinaki Sarder |
State University of New York at Buffalo |
Computational Imaging of Renal Structures for Diagnosing Diabetic Nephropathy |
NIDDK |
Michael R Shirts |
University of Colorado |
Open data-driven infrastructure for building biomolecular force fields for predictive biophysics and drug design |
NIGMS |
Louis J Soslowsky |
University of Pennsylvania |
Differential Roles of Collagen V in Establishing the Regional Properties in Mature and Aging Supraspinatus Tendons |
NIAMS |
Andre Jan Willem van der Kouwe |
Massachusetts General Hospital |
Neuroimaging and gut microbiome markers of development in HIV-exposed uninfected infants |
NICHD |
Xiaoyin Xu |
Brigham and Women's Hospital |
Computer aided diagnosis of cancer metastases in the brain |
NLM |