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2023
Matt JE, Rizzo DM, Javed A, Eppstein MJ, Manukyan V, Gramling C, Dewoolkar AM, Gramling R. 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
Demarest B, Gramling CJ, Macha N, Alexander SC, Rizzo DM, Gramling R, Cheney N. 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
Gramling B, Reblin M, Brown G, Garrido M, Rizzo DM, Grenon KEkstrom, Manetta E, Arnoldy F, Dewoolkar A, Cannizzaro M. 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
Gramling R, Bennettt E, Curtis K, Richards W, Rizzo DM, Arnoldy F, Hegg L, Porter J, Honstein H, Pratt S, et al. 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
Gramling B, Rizzo DM, Eppstein MJ, Demarest B. 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
Underwood KL, Rizzo DM, Hanley JP, Sterle G, Harpold A, Adler T, Li L, Wen H, Perdrial JN. 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
Sanders JJ, Blanch-Hartigan D, Ericson J, Tarbi E, Rizzo DM, Gramling R, vanVliet L. 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
Gramling CJ, Macha N, Lawrenz A, Milukas L, Graber T, Gerson NW, Rizzo DM, Gramling R, Alexander SC. 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
Arnoldy F, Garrido M, Wong A, Pratt S, Braddish T, Brown G, Reblin M, Rizzo DM, Gramling R. 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
Javed A, Rizzo DM, Lee BSuk, Gramling R. 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
2022
Zia A, Schroth AW, Hecht JS, Isles PDF, Clemins PJ, Turnbull S, Bitterman P, Tsai Y-S, Mohammed IN, Bucini G, et al. 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
Zia A, Clemins PJ, Turnbull S, Oikonomou PD, Schroth AW, Rizzo DM. 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
Worley LC, Underwood KL, Vartanian NLV, Dewoolkar MM, Matt JE, Rizzo DM. 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
Zia A, Schroth AW, Clemins PJ, Oikonomou PD, Hecht JS, Turnbull S, Beckage B, Winter JM, Rizzo DM. 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
Stewart B, Shanley JB, Kirchner JW, Norris D, Adler T, Bristol C, Harpold AA, Perdrial JN, Rizzo DM, Sterle G, et al. 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
2021
Underwood KL, Rizzo DM, Dewoolkar MM, Kline M. 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
Adler T, Underwood KL, Rizzo DM, Harpold A, Sterle G, Li L, Wen H, Stinson L, Bristol C, Stewart B, et al. 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
Hecht JS, Zia A, Clemins PJ, Schroth AW, Winter JM, Oikonomou PD, Rizzo DM. 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
Javed A, Hamshaw SD, Lee BSuk, Rizzo DM. 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
Gourevitch JD, Koliba C, Rizzo DM, Zia A, Ricketts TH. 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
2020
Javed A, Lee BSuk, Rizzo DM. A benchmark study on time series clustering. Machine Learning with Applications [Internet]. 2020 ;1:100001. Available from: https://www.sciencedirect.com/science/article/pii/S2666827020300013
Seigel RM, Bomblies A, Rizzo DM, Dewoolkar MM. Bridge-Stream Network Assessment to Identify Sensitive Structural and Hydraulic Parameters for Planning Flood Mitigation. 2020 TIDC Annual New England Transportation Infrastructure Durability Conference [Internet]. 2020 . Available from: https://www.tidc-utc.org/events/2020-tidc-annual-conference/
Perdrial JN, Adler T, Bristol C, Underwood KL, Rizzo DM, Wen H, Li L, Harpold AA, Sterle G, Hanley J. Combining complex systems analyses with process observations to understand stream dissolved organic carbon across scales. Goldschmidt 2020 [Internet]. 2020 . Available from: https://goldschmidtabstracts.info/2020/2060.pdf
Perdrial JN, Rizzo DM, Underwood KL, Lee BSuk, Toolin R, Seybold EC, Harpold AA, Boisrame G, Abbott BW, Li L, et al. Critical Zone network cluster research: Using Big Data approaches to assess ecohydrological resilience across scales. 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/Paper748076.html

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