Wednesday, 08/06/2014
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Visualization: Another V Associated with Big Data
John D. McKenzie, Jr., Babson College
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Classroom Demonstrations of Big Data
Eric A. Suess, California State University, East Bay
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Ethical Issues in Getting it Right: Using Big Data to Determine Medical Treatment
John J. Crowley, Cancer Research And Biostatistics
8:35 AM
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Assessing the Ethical Implications of Big Data Sets
Kirsten Martin, George Washington University
8:55 AM
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Efficient Dimension Reduction of A Group of High-Dimension Imaging Data
Haipeng Shen, University of North Carolina at Chapel Hill
8:55 AM
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Emulation of Global 3D Spatio-Temporal Temperature: A Distributed Computing Approach to Model One Billion Data Points
Stefano Castruccio, KAUST; Marc G. Genton, King Abdullah University of Science and Technology
8:55 AM
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High Performance Computing Based on Massive Parallel Processing: Lessons Learned from the NORC Data Enclave
Timothy Mulcahy, NORC At the University of Chicago; Johannes Huessy, NORC at the University of Chicago; Scot Ausborn, NORC at the University of Chicago
9:05 AM
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The Legal and Regulatory Framework for the Analysis of Big Data
Paul Ohm, University of Colorado Law School
9:15 AM
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Mining Solar Big Data with the Flare Detective
Henry "Trae" Winter III, Harvard
9:25 AM
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Ethical issues in the collection and use of consumer and social data
Richard D. De Veaux, Williams College
9:35 AM
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Mobile Phone Metadata: a new source for Official Statistics
May Offermans, Statistics Netherlands; Martijn Tennekes, Statistics Netherlands
9:50 AM
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Statistics with Large astronomical Data Sets
Alex Szalay, The Johns Hopkins University
9:50 AM
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Harnessing Big Data and High-Performance Computing Architecture for Loss Scenario Analysis
Mahesh V Joshi, SAS Institute Inc
9:55 AM
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Great Expectations: Training Future Biostatisticians for Careers in Interdisciplinary Biomedical Research
Michelle Dunn, National Cancer Institute; Melissa D. Begg, Columbia University; Tor D. Tosteson, Geisel School of Medicine at Dartmouth; Robert E. Kass, Carnegie Mellon University
10:35 AM
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Automatic model selection for forecasting large sets of count time series
Ta-Hsin Li, IBM Watson Research Center
10:50 AM
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Managing and Outsizing Big Data in Healthcare Application
Maoqing Liu; Nasser Fard, Northeastern University
10:50 AM
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Fast Algorithms for Logistic Regression with Big Data
HaiYing Wang, University of New Hampshire; Rong Zhu, Center for Forecasting Science, Chinese Academy of Sciences; Ping Ma, University Of Georgia
11:05 AM
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Teaching Data Science at a Small Liberal Arts College for Women
Ben S. Baumer, Smith College
11:35 AM
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Fast Bayesian inference for missing data on circular domains
Joe Guinness, North Carolina State University; Montserrat Fuentes, North Carolina State University
11:55 AM
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Speeding up MCMC on Tall Data using Efficient Data Subsampling
Mattias Villani, Linköping University; Matias Quiroz, Sveriges Riksbank and Stockholm University; Robert J Kohn , University of New South Wales
11:55 AM
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New graphical approach for visualization of EMR data with application to biomarker studies
Christine Duarte, Maine Medical Center; Ivette Emery, MMCRI; Andrew Prueser, MMCRI; Volkhard Lindner, MMCRI
2:35 PM
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Applying Data Clustering and Data Reduction Methods in Multivariate Survival Data Analysis
Keivan Sadeghzadeh, Northeastern University; Nasser Fard, Northeastern University
2:35 PM
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