Donna Rizzo
| Donna Rizzo |
Donna Rizzo is a researcher at the University of Vermont whose work applies machine learning and computational modeling to environmental and hydrological systems, including watershed hydrology, water chemistry, and decision support tools for agriculture and public health communication.
Research
Rizzo's research draws together hydrology, environmental sensing, and machine learning methods to study watershed-scale processes. Her work has addressed nitrate export from agricultural basins, stream dissolved organic carbon dynamics at continental scales, and the integration of atmospheric and stream water chemistry data into large-sample hydrology datasets.[1] She has also contributed to interdisciplinary studies on the adoption of machine learning in agricultural decision support systems and on responsible innovation in precision agriculture research teams.[2]
According to Semantic Scholar, Rizzo has published 214 papers that have collectively been cited 5,449 times, giving her an h-index of 35.[3]
Rizzo's research has been supported by federal funding. National Science Foundation records show three awards totaling $544,858, including a planning grant for connecting cultural community resources, a project on biodiversity and infectious disease risk, and a Small Business Innovation Research Phase I award for a GIS-based decision support application for environmental stewardship.[4] National Institutes of Health records show two related projects, both titled "Deep Neural Networks to Identify Moments of Human Connection in Cancer Communication," totaling $401,115 in funding to the University of Vermont.[5]
Selected publications
- "Reservoir releases and land cover interact to drive event-scale nitrate export in a large agricultural basin" (2026), Journal of Hydrology[6]
- "CAMELS-Chem: augmenting CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) with atmospheric and stream water chemistry data" (2024), Hydrology and Earth System Sciences[7]
- "Stormwater subsurface gravel wetland hydraulics, phosphorus retention, and chloride dynamics in cold climates" (2023), Environmental Science[8]
- "Improving decision support systems with machine learning: identifying barriers to adoption" (2023), Agronomy Journal[9]
- "Rethinking 'responsibility' in precision agriculture innovation: lessons from an interdisciplinary research team" (2023), Journal of Responsible Innovation[10]
- "Machine-Learning Reveals Equifinality in Drivers of Stream DOC Concentration at Continental Scales" (2023), Water Resources Research[11]
- "Peak Anomaly Detection from Environmental Sensor-Generated Watershed Time Series Data" (2022), Symposium on Information Management and Big Data[12]
- "Semi-automated hydraulic model wrapper to support stakeholder evaluation: A floodplain reconnection study using 2D hydrologic engineering center's river analysis system" (2022), Rivers Research and Applications[13]
- "Identifying neuroanatomical and behavioral features for autism spectrum disorder diagnosis in children using machine learning" (2022), PLoS ONE[14]
External links
- ↑ Semantic Scholar author profile for Donna Rizzo.
- ↑ Semantic Scholar author profile for Donna Rizzo.
- ↑ Semantic Scholar author profile for Donna Rizzo.
- ↑ National Science Foundation award records for Donna Rizzo.
- ↑ National Institutes of Health award records for Donna Rizzo.
- ↑ Semantic Scholar author profile for Donna Rizzo.
- ↑ Semantic Scholar author profile for Donna Rizzo.
- ↑ Semantic Scholar author profile for Donna Rizzo.
- ↑ Semantic Scholar author profile for Donna Rizzo.
- ↑ Semantic Scholar author profile for Donna Rizzo.
- ↑ Semantic Scholar author profile for Donna Rizzo.
- ↑ Semantic Scholar author profile for Donna Rizzo.
- ↑ Semantic Scholar author profile for Donna Rizzo.
- ↑ Semantic Scholar author profile for Donna Rizzo.