Best Practices for Fostering Diversity and Inclusion in Data Science: Report from the BIDS Best Practices in Data Science Series
R. Stuart Geiger, Orianna DeMasi, Aaron Culich, Andreas Zoglauer, Diya Das, Fernando Hoces de la Guardia, Kellie Ottoboni, Marsha Fenner, Nelle Varoquaux, Rebecca Barter, Richard Barnes, Sara Stoudt, Stacey Dorton, Stéfan van der WaltSocArXiv
February 1, 2019
Neural Networks Predict Fluid Dynamics Solutions from Tiny Datasets
Cristina White, Daniela Ushizima, Charbel FarhatarXiv.org
January 26, 2019
The Challenge of Big Data and Data Science
Henry E. BradyAnnual Review of Political Science
January 21, 2019
vittles: Variational inference tools to leverage estimator sensitivity
Ryan GiordanoGitHub
January 11, 2019
Accelerating a fluvial incision and landscape evolution model with parallelism
Richard BarnesGeomorphology
January 10, 2019
Disparities in rooftop photovoltaics deployment in the United States by race and ethnicity
Deborah A. Sunter, Sergio Castellanos and Daniel M. KammenNature Sustainability
January 10, 2019
Bernoulli Ballot Polling: A Manifest Improvement for Risk-Limiting Audits
Kellie Ottoboni, Matthew Bernhard, J. Alex Halderman, Ronald L. Rivest, Philip B. StarkarXiv.org
December 15, 2018
Challenges of Doing Data-Intensive Research in Teams, Labs, and Groups: Report from the BIDS Best Practices in Data Science Series
R. Stuart Geiger, Dan Sholler, Aaron Culich, Ciera Martinez, Fernando Hoces de la Guardia, Francois Lanusse, Kellie Ottoboni, Marla Stuart, Maryam Vareth, Nelle Varoquaux, Sara Stoudt, Stefan van der WaltSocArXiv
November 14, 2018
Reverse image search for scientific data within and beyond the visible spectrum
Flavio H.D. Araujo, Romuere R.V. Silva, Fatima N.S. Medeiros, Dilworth D.Parkinson, Alexander Hexemer, Claudia M.Carneiro, Daniela M.UshizimaScienceDirect
November 1, 2018