A Reddit ask-us-anything with the Moore Data Driven Discovery Investigators

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

Dr. Laura Waller, UC Berkeley

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

Dr. Chris Re, Stanford

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

Dr. Casey Greene, Dartmouth

Proposal title: Learning the context of publicly available genome-wide data

Google Scholar: http://scholar.google.com/citations?user=ETJoidYAAAAJ&hl=en

Twitter: @GreeneScientist

Dr. C. Titus Brown, UC Davis

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

Dr. Joshua Bloom, UC Berkeley

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


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