Fall 2018 Awards Recipients
Bayesian Convolutional Neural Networks for Cosmological Inference
Risa Wechsler (Physics), Sean McLaughlin (Physics), Laurence Levasseur (Physics)
Central California Decadal Groundwater Monitoring and Imaging From Ballistic Rayleigh Wave Dispersion
Gregory Beroza (Geophysics), Lise Marie Christelle Retailleau (Geophysics), Aurelien Mordret
Harnessing Data Science to Answer Questions About Diversity and Creativity
Daniel McFarland (Education), Daniel Jurafsky (Linguistics & Computer Science), Bas Hofstra (Education), Londa Schiebinger (History), James Zou (Biomedical Data Science)
Integrating Remote-Sensing and Socioeconomic Microdata to Understand Forest Carbon Loss – and How to Halt It
Gretchen Daily (Biology), Rebecca Chaplin-Kramer (Natural Capital Project)
Mapping Ottoman Epirus
Ali Yaycioglu (History), Antonis Hadjikyriacou (Center for Spatial and Textual Analysis), Erik Steiner, Celena Allen (Center for Spatial and Textual Analysis)
Online Platforms: The Welfare Consequences of Exploration
Mohsen Bayati (Operations, Information & Technology), Ramesh Johari (Management Science)
Representation Learning of Disease Trajectories to Predict Opioid Addiction Risk
James Zou (Biomedical Data Science), Abubakar Abid (Electrical Engineering), Suzanne Tamang (Medicine), Ayin Vala (Foundation for Precision Health), Xiang Zhu (Statistics)
Towards Fair Machine Learning
Omer Reingold (Computer Science), Michael Kim (Computer Science)
Using Computer Vision to Measure Neighborhood Visible Urban Conditions Affecting Health
Jackelyn Hwang (Sociology), Nikhil Naik
Using Network Science to Study Children’s Conceptual Development
Michael Frank (Psychology), Abdellah Fourtassi (Psychology)