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NOBEL PRIZE 2026

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NIHNATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES

Data Science Core

Active
Institution
University of Washington, WA
Principal investigator
Shuyi Ma
Funding
$141K
Duration
2022–2027
Open portfolio

Moonbase score

Still being scored

Abstract

PROJECT SUMMARY (DATA SCIENCE CORE) The Data Science Core (DSC) aims to support research efforts to control the TB pandemic through expansion and enhancement of TB-focused data science. Data science plays an important role in a broad spectrum of activities throughout the iterative cycles of productive research, including study design, assay development, data processing, statistical analysis, data visualization, mathematical modeling, and communication of findings. The DSC aims to enhance data science for TB by building initiatives to improve data science literacy and catalyze cross-disciplinary collaborations between TRAC researchers and New-to-TB data scientists (Aim 1), as well as to directly enable increased utilization of data science approaches in TB research (Aim 2). Aim 1 objectives will be achieved through virtual trainings paired with office hour consultations, as well as the organization of annual semi-structured, TB-focused Hackweeks and meet-up events. The DSC will accomplish Aim 2 objectives by providing hands-on data science assistance to TRAC researchers in the form of targeted consultations, limited-scope catalytic analyses, and broader collaborative efforts. We will support these activities by directly supporting partial salary of data scientists at FHCRC and SCRI in addition to the co-directors. New-to-TB data science collaboration will also be encouraged by a diverse group of DSC Faculty Partners— data science experts who have extensive experience studying TB. Faculty Partners have agreed to provide their analytical expertise for collaborations and consultations in subjects that include stochastic modeling, software development, biostatistics, image analysis, lab data management, structural biology, systems biology, and epidemiology. An additional Industry Partner will help subsidize cloud-computing costs for this work and help train TRAC researchers on how and when to utilize cloud-computing resources. Together, the combination of training, community building, and hands-on data science activities that the DSC will establish will work in tandem with the other TRAC Cores to directly amplify TB science, catalyze new collaboration on TB-related questions, and expand the number of TB scientists in our community.

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NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASESP30ZAI1-LG-Mscienceconsultationsdata sciencescience datacatalyzetracdscdata scientists

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