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Bedoor K. AlShebli
Researcher at New York University Abu Dhabi
Publications - 18
Citations - 774
Bedoor K. AlShebli is an academic researcher from New York University Abu Dhabi. The author has contributed to research in topics: Cultural diversity & Ethnic group. The author has an hindex of 9, co-authored 18 publications receiving 517 citations. Previous affiliations of Bedoor K. AlShebli include Masdar Institute of Science and Technology & Khalifa University.
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Journal ArticleDOI
The preeminence of ethnic diversity in scientific collaboration
TL;DR: In this article, the authors analyzed over 9 million papers and 6 million scientists to study the relationship between research impact and five classes of diversity: ethnicity, discipline, gender, affiliation, and academic age.
Journal ArticleDOI
Unpacking the polarization of workplace skills
Ahmad Alabdulkareem,Ahmad Alabdulkareem,Morgan R. Frank,Lijun Sun,Bedoor K. AlShebli,César A. Hidalgo,Iyad Rahwan +6 more
TL;DR: Using unsupervised clustering techniques from network science, it is shown that skills exhibit a striking polarization into two clusters that highlight the specific social-cognitive skills and sensory-physical skills of high- and low-wage occupations, respectively.
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.
Proceedings ArticleDOI
I-Living: An Open System Architecture for Assisted Living
Qixin Wang,Wook Shin,Xue Liu,Zheng Zeng,Cham Oh,Bedoor K. AlShebli,Marco Caccamo,Carl A. Gunter,Elsa L. Gunter,Jennifer C. Hou,Karrie Karahalios,Lui Sha +11 more
TL;DR: This paper presents the I-Living architecture for assisted living that allows independent parties work together in a dependable, secure, and low-cost fashion with predictable properties and shows the feasibility and opportunity of an open approach to assisted living systems.
Proceedings Article
Mapping maintenance for data integration systems
TL;DR: MAVERIC is described, an automatic solution to detecting broken mappings that combines a set of computationally inexpensive modules called sensors, which capture salient characteristics of data sources, and develops three novel improvements: perturbation, multi-source training, and filtering to reduce the number of false alarms.