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11/16/2022
Fair contrastive pre-training for geographic images
Contrastive representation learning is widely employed in visual recogni...
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08/06/2022
Data science in public health: building next generation capacity
Rapidly evolving technology, data and analytic landscapes are permeating...
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04/09/2022
Segmenting across places: The need for fair transfer learning with satellite imagery
The increasing availability of high-resolution satellite imagery has ena...
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11/15/2020
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
Transparency of algorithmic systems entails exposing system properties t...
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10/14/2020
Causal Multi-Level Fairness
Algorithmic systems are known to impact marginalized groups severely, an...
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07/21/2020
Machine Learning in Population and Public Health
Research in population and public health focuses on the mechanisms betwe...
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02/26/2020
No computation without representation: Avoiding data and algorithm biases through diversity
The emergence and growth of research on issues of ethics in AI, and in p...
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11/02/2019
Fair Predictors under Distribution Shift
Recent work on fair machine learning adds to a growing set of algorithmi...
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08/24/2019
Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning
Observational transport relates to transferring a statistical relation R...
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08/24/2019
Using Contextual Information to Improve Blood Glucose Prediction
Blood glucose value prediction is an important task in diabetes manageme...
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04/03/2019
Deep Landscape Features for Improving Vector-borne Disease Prediction
The global population at risk of mosquito-borne diseases such as dengue,...
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01/31/2019
Race, Ethnicity and National Origin-based Discrimination in Social Media and Hate Crimes Across 100 U.S. Cities
We study malicious online content via a specific type of hate speech: ra...
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12/03/2018
From the User to the Medium: Neural Profiling Across Web Communities
Online communities provide a unique way for individuals to access inform...
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11/21/2018
Population-aware Hierarchical Bayesian Domain Adaptation
Population attributes are essential in health for understanding who the ...
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06/22/2018
Domain Adaptation for Infection Prediction from Symptoms Based on Data from Different Study Designs and Contexts
Acute respiratory infections have epidemic and pandemic potential and th...
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03/23/2018
Socio-spatial Self-organizing Maps: Using Social Media to Assess Relevant Geographies for Exposure to Social Processes
Social Media offers a unique window into measuring attitudes like racism...
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10/06/2017