R
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.
Papers
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Journal ArticleDOI
Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world.
Per Block,Marion Hoffman,Isabel J. Raabe,Jennifer Beam Dowd,Charles Rahal,Ridhi Kashyap,Melinda Mills +6 more
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.
Journal ArticleDOI
Quantifying impacts of the COVID-19 pandemic through life-expectancy losses: a population-level study of 29 countries.
José Manuel Aburto,Jonas Schöley,Ilya Kashnitsky,Luyin Zhang,Charles Rahal,Trifon I. Missov,Melinda Mills,Jennifer Beam Dowd,Ridhi Kashyap +8 more
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.
Journal ArticleDOI
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.
Journal ArticleDOI
Measuring the predictability of life outcomes with a scientific mass collaboration.
Matthew J. Salganik,Ian Lundberg,Alexander T. Kindel,Caitlin Ahearn,Khaled AlGhoneim,Abdullah Almaatouq,Drew Altschul,Jennie E. Brand,Nicole Bohme Carnegie,Ryan James Compton,Debanjan Datta,Thomas Davidson,Anna Filippova,Connor Gilroy,Brian J. Goode,Eaman Jahani,Ridhi Kashyap,Antje Kirchner,Stephen McKay,Allison C. Morgan,Alex Pentland,Kivan Polimis,Louis Raes,Daniel E Rigobon,Claudia V. Roberts,Diana Stanescu,Yoshihiko Suhara,Adaner Usmani,Erik H. Wang,Muna Adem,Abdulla Alhajri,Bedoor K. AlShebli,Redwane Amin,Ryan Amos,Lisa P. Argyle,Livia Baer-Bositis,Moritz Büchi,Bo-Ryehn Chung,William Eggert,Gregory Faletto,Zhilin Fan,Jeremy Freese,Tejomay Gadgil,Josh Gagné,Yue Gao,Andrew Halpern-Manners,Sonia P Hashim,Sonia Hausen,Guanhua He,Kimberly Higuera,Bernie Hogan,Ilana M. Horwitz,Lisa M Hummel,Naman Jain,Kun Jin,David Jurgens,Patrick Kaminski,Areg Karapetyan,Areg Karapetyan,E H Kim,Ben Leizman,Naijia Liu,Malte Möser,Andrew E Mack,Mayank Mahajan,Noah Mandell,Helge Marahrens,Diana Mercado-Garcia,Viola Mocz,Katariina Mueller-Gastell,Ahmed Musse,Qiankun Niu,William Nowak,Hamidreza Omidvar,Andrew Or,Karen Ouyang,Katy M. Pinto,Ethan Porter,Kristin E. Porter,Crystal Qian,Tamkinat Rauf,Anahit Sargsyan,Thomas Schaffner,Landon Schnabel,Bryan Schonfeld,Ben Sender,Jonathan D Tang,Emma Tsurkov,Austin van Loon,Onur Varol,Onur Varol,Xiafei Wang,Zhi Wang,Julia Wang,Flora Wang,Samantha Weissman,Kirstie Whitaker,Kirstie Whitaker,Maria Wolters,Wei Lee Woon,James M. Wu,Catherine Wu,Kengran Yang,Jingwen Yin,Bingyu Zhao,Chenyun Zhu,Jeanne Brooks-Gunn,Barbara E. Engelhardt,Moritz Hardt,Dean Knox,Karen Levy,Arvind Narayanan,Brandon M. Stewart,Duncan J. Watts,Sara McLanahan +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.
Posted Content
Social network-based distancing strategies to flatten the COVID 19 curve in a post-lockdown world
Per Block,Marion Hoffman,Isabel J. Raabe,Jennifer Beam Dowd,Charles Rahal,Ridhi Kashyap,Melinda Mills +6 more
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.