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Anahit Sargsyan

Researcher at New York University Abu Dhabi

Publications -  9
Citations -  294

Anahit Sargsyan is an academic researcher from New York University Abu Dhabi. The author has contributed to research in topics: Medicine & Computational sociology. The author has an hindex of 2, co-authored 6 publications receiving 111 citations. Previous affiliations of Anahit Sargsyan include Khalifa University.

Papers
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Journal ArticleDOI

The impact of COVID-19 on gender inequality in the labor market and gender-role attitudes

TL;DR: In this article, emerging evidence shows that women may be more severely affected by COVID-19 and ensuing changes in mobility have altered employment relations for millions of people across the globe.
Journal ArticleDOI

Measuring the predictability of life outcomes with a scientific mass collaboration.

Matthew J. Salganik, +114 more
TL;DR: Practical limits to the predictability of life outcomes in some settings are suggested and the value of mass collaborations in the social sciences is illustrated.
Book ChapterDOI

Explainable AI as a Social Microscope: A Case Study on Academic Performance

TL;DR: In this paper, the authors introduce a data science workflow allowing for fine-grained analysis of academic performance correlates that captures the subtle differences in students' sensitivities to these factors, and leverage the Local Interpretable Model-Agnostic Explanations (LIME) algorithm from the toolbox of Explainable Artificial Intelligence (XAI) techniques.
Book ChapterDOI

Explainable AI as a Social Microscope: A Case Study on Academic Performance

TL;DR: A data science workflow allowing for fine-grained analysis of academic performance correlates that captures the subtle differences in students' sensitivities to these factors is introduced.
Journal ArticleDOI

Unequal treatment toward copartisans versus non-copartisans is reduced when partisanship can be falsified.

TL;DR: The authors used a behavioral experiment to study how people allocate resources to copartisan and non-copartisan partners when partners are allowed to falsify their affiliation and may have incentives to do so.