Today at 3pm EST, the Moore Data Driven Discovery Investigators will be answering questions on reddit, in the science "ask me anything (AMA)" series. This is an opportunity to ask us anything you want about our research, data-driven discovery more generally, or ...well, you tell us!
Go here to see the questions and our answers.
A (slightly updated) list of the Investigators and some of their proposals is below.
Dr. Ethan White, University of Florida
Proposal: Data-intensive forecasting and prediction for ecological systems
Source code repository: https://github.com/weecology
Google Scholar: http://scholar.google.com/citations?user=pHmra8cAAAAJ&hl=en
ImpactStory: https://impactstory.org/EthanWhite
Blog: http://jabberwocky.weecology.org/
Twitter: @ethanwhite
Source code repository: https://github.com/Waller-Lab/CalOptrics
Dr. Matt Turk, University of Illinois at Urbana-Champaign
Proposal: Changing How We Conduct Inquiry
Source code repository: http://bitbucket.org/MatthewTurk/
Google Scholar: http://scholar.google.com/citations?user=QTmv2p0AAAAJ&hl=en
Blog: https://plus.google.com/+MatthewTurk
Twitter: @powersoffour
Dr. Blair D. Sullivan, North Carolina State University
Proposal title: Enabling Science via Structural Graph Algorithms
Source code repository: https://github.com/bdsullivan/
Google Scholar: http://scholar.google.com/citations?user=oZBtvZMAAAAJ&hl=en&oi=ao
Twitter: @BlairDSullivan
Dr. Matthew Stephens, University of Chicago
Proposal title: Gene Regulation and Dynamic Statistical Comparisons
Source code repository: https://github.com/stephens999
Google Scholar: http://scholar.google.com/citations?user=qOQFhUkAAAAJ&hl=en
Blog: http://randomdeviation.blogspot.com/
Twitter: @mstephens999
Dr. Amit Singer, Princeton University
Proposal title: Maximum Likelihood Estimation by Semidefinite Programming: Application to Cryo-Electron Microscopy
Google Scholar: http://scholar.google.com/citations?user=h67w8QsAAAAJ&hl=en
Dr. Kimberly Reynolds, UT Southwestern
Proposal title: Decoding the Genome: Finding Effective Variables from Evolutionary Ensembles
Google Scholar: http://scholar.google.com/citations?user=6bWFU7MAAAAJ&hl=en&oi=ao
Google Scholar: http://scholar.google.com/citations?user=DnnCWN0AAAAJ&hl=en
Dr. Laurel Larsen, UC Berkeley
Proposal: Developing the informationscape approach to environmental change detection.
Dr. Carl Kingsford, Carnegie Mellon University
Proposal title: Lightweight Algorithms for Petabase-scale Genomics
Google Scholar: http://scholar.google.com/citations?user=V_cvqKcAAAAJ
Twitter: @ckingsford
Dr. Jeffrey Heer, U. Washington Seattle
Proposal: Interactive Data Analysis
Google Scholar: http://scholar.google.com/citations?user=vlgs4G4AAAAJ
Twitter: @jeffrey_heer
Proposal title: Learning the context of publicly available genome-wide data
Google Scholar: http://scholar.google.com/citations?user=ETJoidYAAAAJ&hl=en
Twitter: @GreeneScientist
Proposal: Infrastructure for Data Intensive Biology
Source code repository: http://github.com/ged-lab/
Google Scholar: http://scholar.google.com/citations?user=O4rYanMAAAAJ
ImpactStory: https://impactstory.org/TitusBrown
Blog: http://ivory.idyll.org/blog/
Twitter: @ctitusbrown
Proposal title: Efficient Data-Driven Astrophysical Inquiry with Machine Learning
Google Scholar: http://scholar.google.com/citations?user=fHkUYk0AAAAJ
Blog: http://5nf5.blogspot.com/
Twitter: @profjsb
--titus
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