Using speech and language to identify patients at risk for hospitalizations and emergency department visits in homecare

in Open Fall 2021

This study is the first step in exploring an emerging and previously understudied data stream - verbal communication between healthcare providers and patients. In partnership between Columbia Engineering, School of Nursing, Amazon, and the largest home healthcare agency in the US, the study will investigate how to use audio-recorded routine communications between patients and nurses to help identify patients at risk of hospitalization or emergency department visits. The study will combine speech recognition, machine learning and natural language processing to achieve its goals.

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Volatile solubility laws in melts and magmas: an adaptative and universal Bayesian approach

in Open Fall 2021, Open Flexible Timeline

All volcanoes on earth are driven by the degassing of volatile elements, mostly H2O and CO2 from their host magma. To model the degassing process, one needs to know the solubility laws of these volatile. To that end, petrologists have been performing high-pressure high-temperature experiments for sixty years to determine how much water and CO2 dissolves in magma as a function of Pressure, Temperature, Melt composition (12 oxides) and oxidation state. To model how these fifteen parameters affect solubility laws petrologist have then relied on empirical interpolation between experimental data points and some extrapolations using classical thermodynamic theory to infer the expected behavior beyond experimental calibration.

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Call for Faculty Participation --- DSI Scholars Fall 2021

in Announcement

Call for Faculty Participation. Fall 2021.

The Data Science Institute is calling for faculty submissions of research projects for the pring and/or summer 2021 sessions of the Data Science Institute (DSI) Scholars Program. The goal of the DSI Scholars Program is to engage undergraduate and master students to work with Columbia faculty, through the creation of data science research internships. Last year, we worked with 38 projects and received more than 400 unique applications from Columbia Students. The program’s unique enrichment activities foster a learning and collaborative community in data science at Columbia. Apply here.

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Columbia Data Science Institute (DSI) Scholars Program

The DSI Scholars Program is to engage and support undergraduate and master students in participating data science related research with Columbia faculty. The program’s unique enrichment activities will foster a learning and collaborative community in data science at Columbia.

Columbia University DSI

New York, NY