Vermont EPSCoR Publications and Products
Watershed data science at the event scale: Revealing insights in watershed function through analysis of concentration-discharge relationships. In: 2020 AGU (American Geophysical Union) Fall Meeting. 2020 AGU (American Geophysical Union) Fall Meeting. Virtual: American Geophysical Union (AGU); 2020. Available from: https://agu.confex.com/agu/fm20/webprogram/Paper766889.html
. Analysis of reach-scale sediment process domains in glacially-conditioned catchments using self-organizing maps. Geomorphology [Internet]. 2021 ;382:107684. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0169555X21000921
. Drivers of Dissolved Organic Carbon Mobilization From Forested Headwater Catchments: A Multi Scaled Approach. Frontiers in Water [Internet]. 2021 ;3. Available from: https://www.frontiersin.org/articles/10.3389/frwa.2021.578608/full
Modeling the sensitivity of cyanobacteria blooms to plausible changes in precipitation and air temperature variability. Science of The Total Environment [Internet]. 2021 ;812:151586. Available from: https://www.sciencedirect.com/science/article/pii/S004896972106664X
. Multivariate event time series analysis using hydrological and suspended sediment data. Journal of Hydrology [Internet]. 2021 ;593:125802. Available from: https://www.sciencedirect.com/science/article/pii/S0022169420312634
. Quantifying the social benefits and costs of reducing phosphorus pollution under climate change. Journal of Environmental Management [Internet]. 2021 ;293:112838. Available from: https://www.sciencedirect.com/science/article/pii/S0301479721009002
. Climate change‐legacy phosphorus synergy hinders lake response to aggressive water policy targets. Earth's Future [Internet]. 2022 ;10(5):e2021EF002234. Available from: https://onlinelibrary.wiley.com/doi/10.1029/2021EF002234
Information Theoretic Approaches to Characterize Uncertainty in Computational Models of Coupled Human and Natural Systems: Insights from an Integrated Model Predicting Water Quality in Lake Champlain under Alternate Hydro-Climatic, Land Use, And Nutrient. 2022 AGU (American Geophysical Union) Fall Meeting [Internet]. 2022 . Available from: https://agu.confex.com/agu/fm22/meetingapp.cgi/Paper/1148337
. Semi-automated hydraulic model wrapper to support stakeholder evaluation: A floodplain reconnection study using 2D hydrologic engineering center's river analysis system. River Research and Applications [Internet]. 2022 ;38(4):799 - 809. Available from: https://onlinelibrary.wiley.com/doi/full/10.1002/rra.3946
. Simulating Lags, Tipping Points and Cross Scale Interactions in Integrated Socio-Environmental Systems: Evaluating the Impacts of Early vs. Delayed Nutrient Reductions under Alternate Hydro-Climatic Scenarios in Missisquoi Bay, 2000-2050. In: 2022 AGU (American Geophysical Union) Fall Meeting. 2022 AGU (American Geophysical Union) Fall Meeting. Chicago, IL, and virtual: American Geophysical Union (AGU); 2022. Available from: https://agu.confex.com/agu/fm22/meetingapp.cgi/Paper/1120781
. Streams as Mirrors: Reading Subsurface Water Chemistry From Stream Chemistry. Water Resources Research [Internet]. 2022 ;58(1). Available from: https://onlinelibrary.wiley.com/doi/10.1029/2021WR029931
An Acoustical and Lexical Machine-Learning Pipeline to Identify Connectional Silences. Journal of Palliative Medicine [Internet]. 2023 ;26(12):1627 - 1633. Available from: https://www.liebertpub.com/doi/10.1089/jpm.2023.0087
. Automating Loneliness and Social Connection Identification in Clinician-Patient Conversations with Machine Learning. In: ICCH 2023 (International Conference on Communication in Healthcare). ICCH 2023 (International Conference on Communication in Healthcare). Rio Grande, Puerto Rico: Academy of Communication in Healthcare (ACH); 2023. Available from: https://www.achonline.org/ICCH2023
. Determinants of Loneliness Trajectory Following a Brief Storytelling Intervention about COVID Pandemic Grief. In: 51st NAPCRG (North American Primary Care Research Group) Annual Meeting. 51st NAPCRG (North American Primary Care Research Group) Annual Meeting. San Francisco, CA: North American Primary Care Research Group (NAPCRG); 2023. Available from: https://napcrg.org/conferences/2017/sessions/5276
. Developing a Direct Observation Measure of Therapeutic Connection in Psilocybin-Assisted Therapy: A Feasibility Study. Journal of Palliative Medicine [Internet]. 2023 ;26(12):1702 - 1708. Available from: https://www.liebertpub.com/doi/10.1089/jpm.2023.0189
Machine Learning Analysis of Serious Illness Conversations Predicts Patient Reports of Feeling Heard & Understood. In: 51st NAPCRG (North American Primary Care Research Group) Annual Meeting. 51st NAPCRG (North American Primary Care Research Group) Annual Meeting. San Francisco, CA: North American Primary Care Research Group (NAPCRG); 2023. Available from: https://napcrg.org/conferences/2017/sessions/5279
. Machine‐Learning Reveals Equifinality in Drivers of Stream DOC Concentration at Continental ScalesAbstractKey Points. Water Resources Research [Internet]. 2023 ;59(3). Available from: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2021WR030551
. Methodological innovations to strengthen evidence-based serious illness communication. Patient Education and Counseling [Internet]. 2023 ;114:107790. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0738399123001702
. Patient Expressions of Loneliness and Human Connection in Palliative Care Consultations. In: ICCH 2023 (International Conference on Communication in Healthcare). ICCH 2023 (International Conference on Communication in Healthcare). Rio Grande, Puerto Rico: Academy of Communication in Healthcare (ACH); 2023. Available from: https://www.achonline.org/ICCH2023
. Protocol for a Scalable StoryListening Intervention for Grief-Related Loneliness During COVID-19. Palliative Medicine Reports [Internet]. 2023 ;4(1):208 - 213. Available from: https://www.liebertpub.com/doi/full/10.1089/pmr.2023.0009
. Somtimes: self organizing maps for time series clustering and its application to serious illness conversations. Data Mining and Knowledge Discovery [Internet]. 2023 . Available from: https://link.springer.com/article/10.1007/s10618-023-00979-9
. A Framework for Estimating Nutrient and Sediment Loads that Leverages the Temporal Variability Embedded in Water Monitoring Data. Journal of Great Lakes Research. Under Review .
. . Artificial intelligence for serious illness communication: Proactive approaches to mitigating harm. Journal of Medicine and Philosophy. Awaiting Publication .
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