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Not Another School Resource Map: Meeting Underserved Families’ Information Needs Requires Trusting Relationships and Personalized Care
Public school districts across the United States have implemented school choice systems that have the potential to improve underserved …
Samantha Robertson, Tonya Nguyen, Niloufar Salehi
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Reliable and Safe Use of Machine Translation in Medical Settings
Language barriers between patients and clinicians contribute to disparities in quality of care. Machine Translation (MT) tools are …
Nikita Mehandru, Samantha Robertson, Niloufar Salehi
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Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat
Machine translation (MT) is now widely and freely available, and has the potential to greatly improve cross-lingual communication. In …
Samantha Robertson, Mark Díaz
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Beyond General Purpose Machine Translation: The Need for Context-specific Empirical Research to Design for Appropriate User Trust
Machine Translation (MT) has the potential to help people overcome language barriers and is widely used in high-stakes scenarios, such …
Wesley Hanwen Deng, Nikita Mehandru, Samantha Robertson, Niloufar Salehi
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Modeling Assumptions Clash with the Real World: Transparency, Equity, and Community Challenges for Student Assignment Algorithms
Across the United States, a growing number of school districts are turning to matching algorithms to assign students to public schools. …
Samantha Robertson, Tonya Nguyen, Niloufar Salehi
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An Open-Source Realtime Computation Platform (Short WIP Paper)
Systems neuroscience studies involving in-vivo models often require realtime data processing. In these studies, many events must be …
Pavan Mehrotra, Sabar Dasgupta, Samantha Robertson, Paul Nuyujukian
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