39 citations · 143 across the 29 of their papers we have counts for
7 papers · 1 filter
Impact on Public Health Decision Making by Utilizing Big Data Without Domain Knowledge
Miao Zhang, Salman Rahman, Vishwali Mhasawade +1
New data sources, and artificial intelligence (AI) methods to extract information from them are becoming plentiful, and relevant to decision making in many societal applications. A…
Data science in public health: building next generation capacity
Nicholas Mirin, Heather Mattie, Latifa Jackson +2
Rapidly evolving technology, data and analytic landscapes are permeating many fields and professions. In public health, the need for data science skills including data literacy is…
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
Umang Bhatt, Javier Antorán, Yunfeng Zhang +12
Algorithmic transparency entails exposing system properties to various stakeholders for purposes that include understanding, improving, and contesting predictions. Until now, most…
Machine Learning in Population and Public Health
Vishwali Mhasawade, Yuan Zhao, Rumi Chunara
Research in population and public health focuses on the mechanisms between different cultural, social, and environmental factors and their effect on the health, of not just individ…
No computation without representation: Avoiding data and algorithm biases through diversity
Caitlin Kuhlman, Latifa Jackson, Rumi Chunara
The emergence and growth of research on issues of ethics in AI, and in particular algorithmic fairness, has roots in an essential observation that structural inequalities in societ…
Deep Landscape Features for Improving Vector-borne Disease Prediction
Nabeel Abdur Rehman, Umar Saif, Rumi Chunara
The global population at risk of mosquito-borne diseases such as dengue, yellow fever, chikungunya and Zika is expanding. Infectious disease models commonly incorporate environment…
Race, Ethnicity and National Origin-based Discrimination in Social Media and Hate Crimes Across 100 U.S. Cities
Kunal Relia, Zhengyi Li, Stephanie H. Cook +1
We study malicious online content via a specific type of hate speech: race, ethnicity and national-origin based discrimination in social media, alongside hate crimes motivated by t…