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Evaluating Health Benefits of Stricter US Air Quality Standards

Francesca Dominici, a data scientist, has made pioneering contributions to global public health research. Her work focuses on analyzing large, heterogeneous data sets to identify health impacts of environmental threats and inform policy. She and her team rely on Harvard’s FASRC and access to the MGHPCC clusters.

In a recent paper Dominici, working with other members of her group in the Department of Biostatistics at Harvard used the In policy research, it's crucial to understand how changes in a policy affect outcomes. This process, called shift-response function (SRF) estimation, can be complex. Existing neural network methods for this task need to be better tested theoretically and practically. To address this, Dominici and co-authors developed a new neural network method with proven reliability and efficiency for SRF estimation. The team applied this method to a large dataset (68 million people and 27 million deaths) to estimate the impact of a proposed change in U.S. air quality standards on mortality rates. They demonstrated that their new method, TRESNET, improves existing techniques by ensuring reliable and efficient results and handling various types of outcome data. The study also tested TRESNET in different scenarios to show its effectiveness and versatility.

Francesca Dominici
The Clarence James Gamble Professor of Biostatistics, Population and Data Science at the Harvard T.H. Chan School of Public Health, and Director of the Data Science Initiative at Harvard University

Research projects

A Future of Unmanned Aerial Vehicles
Yale Budget Lab
Volcanic Eruptions Impact on Stratospheric Chemistry & Ozone
Towards a Whole Brain Cellular Atlas
Tornado Path Detection
The Kempner Institute - Unlocking Intelligence
The Institute for Experiential AI
Taming the Energy Appetite of AI Models
Surface Behavior
Studying Highly Efficient Biological Solar Energy Systems
Software for Unreliable Quantum Computers
Simulating Large Biomolecular Assemblies
SEQer - Sequence Evaluation in Realtime
Revolutionizing Materials Design with Computational Modeling
Remote Sensing of Earth Systems
Quantum Computing in Renewable Energy Development
Pulling Back the Quantum Curtain on ‘Weyl Fermions’
New Insights on Binary Black Holes
NeuraChip
Network Attached FPGAs in the OCT
Monte Carlo eXtreme (MCX) - a Physically-Accurate Photon Simulator
Modeling Hydrogels and Elastomers
Modeling Breast Cancer Spread
Impact of Marine Heatwaves on Coral Diversity
IceCube: Hunting Neutrinos
Genome Forecasting
Global Consequences of Warming-Induced Arctic River Changes
Exact Gravitational Lensing by Rotating Black Holes
Evolution of Viral Infectious Disease
Evaluating Health Benefits of Stricter US Air Quality Standards
Ephemeral Stream Water Contributions to US Drainage Networks
Energy Transport and Ultrafast Spectroscopy Lab
Electron Heating in Kinetic-Alfvén-Wave Turbulence
Discovering Evolution’s Master Switches
Dexterous Robotic Hands
Developing Advanced Materials for a Sustainable Energy Future
Detecting Protein Concentrations in Assays
Denser Environments Cultivate Larger Galaxies
Deciphering Alzheimer's Disease
Dancing Frog Genomes
Cyber-Physical Communication Network Security
Asteroid Data Mining
Analyzing the Gut Microbiome
Adaptive Deep Learning Systems Towards Edge Intelligence
Accelerating Rendering Power
ACAS X: A Family of Next-Generation Collision Avoidance Systems
Neurocognition at the Wu Tsai Institute, Yale
Computational Modeling of Biological Systems
Computational Molecular Ecology
Social Capital and Economic Mobility
Building for Floods
Better Pathogen Targeting
Tracking Environmental Health Risks
AI for Cancer Diagnosis
Microplastic-Free by Design
Supporting Data-intensive Social Science
Sailing the Symbiosis Seascape
Wrangle Range Modeling
Shining a Light on Dark Matter
Grid Responsive Data Centers
Multifunctional 3D-Printed Materials
AI Pareidolia
Computing Hidden Health Threats from Heat
Staving off the Banana Apocalypse
CRISPR Mice, Smarter Science
Naval and Ocean Renewable Energy Hydrodynamics
AI That Speaks Human About Health
A Safer Way to See Inside Cells
How Monkeys - and Machines - See in 3D
FlowER: AI for Predicting Chemical Reactions
Bone Ratios and Big Data
Supercomputers Reveal Ancient Atmospheric Battle
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