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Ridhi Kashyap

Researcher at University of Oxford

Publications -  41
Citations -  1410

Ridhi Kashyap is an academic researcher from University of Oxford. The author has contributed to research in topics: Population & Life expectancy. The author has an hindex of 11, co-authored 36 publications receiving 675 citations. Previous affiliations of Ridhi Kashyap include International Atomic Energy Agency & Max Planck Society.

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Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world.

TL;DR: In this article, the authors evaluate the effectiveness of three distancing strategies designed to keep the curve flat and aid compliance in a post-lockdown world: limiting interaction to a few repeated contacts, seeking similarity across contacts, and strengthening communities via triadic strategies.
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Quantifying impacts of the COVID-19 pandemic through life-expectancy losses: a population-level study of 29 countries.

TL;DR: In this article, the COVID-19 pandemic triggered significant mortality increases in 2020 of a magnitude not witnessed since World War II in Western Europe or the breakup of the Soviet Union in Eastern Europe.
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Using Facebook ad data to track the global digital gender gap

TL;DR: This approach demonstrates the feasibility of using Facebook data for real-time tracking of digital gender gaps, and enables us to improve geographical coverage for an important development indicator, with the biggest gains made for low-income countries for which existing data are most limited.
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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.
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Social network-based distancing strategies to flatten the COVID 19 curve in a post-lockdown world

TL;DR: Fusing models from epidemiology and network science, Block et al. show how to ease lockdown and slow infection spread by strategic modification of contact through seeking similarity, strengthening communities and repeating interaction in bubbles.