Joint Mathematics Meetings AMS Special Session
Current as of Saturday, January 16, 2016 03:30:10
Joint Mathematics Meetings
Washington State Convention Center and the Sheraton Seattle Hotel, Seattle, WA
January 6-9, 2016 (Wednesday - Saturday)
Meeting #1116
Associate secretaries:
Michel L Lapidus, AMS lapidus@math.ucr.edu, lapidus@mathserv.ucr.edu
Gerard A. Venema, MAA venema@calvin.edu
AMS Special Session on Big Demand for Big Data: How Do We Create the Big Supply?
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Wednesday January 6, 2016, 2:15 p.m.-5:55 p.m.
AMS Special Session on Big Demand for Big Data: How Do We Create the Big Supply?, I
Room 610, Washington State Convention Center
Organizers:
Rick Cleary, Babson College rcleary@babson.edu
Xiao-Li Meng, Harvard University
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2:15 p.m.
Big Network Data.
Patrick J Wolfe*, University College London
(1116-62-2468) -
3:15 p.m.
Discussion. -
4:15 p.m.
Statistical Fusion Learning: Combining Inferences from Multiple Sources for More Powerful Findings.
Regina Y Liu*, Department of Statistics, Rutgers University, New Brunswick, New Jersey
(1116-62-2646) -
5:15 p.m.
The potential and perils of preprocessing: Building new foundations.
Alex Blocker, Google Life Sciences
Xiao-Li Meng*, Department of Statistics, Harvard University
(1116-60-2887)
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2:15 p.m.
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Thursday January 7, 2016, 8:00 a.m.-11:50 a.m.
AMS Special Session on Big Demand for Big Data: How Do We Create the Big Supply?, II
Room 610, Washington State Convention Center
Organizers:
Rick Cleary, Babson College rcleary@babson.edu
Xiao-Li Meng, Harvard University
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8:00 a.m.
Preparing Mathematicians for Big Data Careers: An Industry's Point of View.
Paul Raff*, Microsoft
(1116-62-1663) -
9:00 a.m.
Show me the data: Using data-enhanced classroom experiences to engage student learning.
Talithia D. Williams*, Harvey Mudd College
(1116-62-1449) -
10:00 a.m.
Data Analytics for Non-STEM Majors (in the Age of Big Data).
Davit Khachatryan*, Assistant Professor of Statistics & Analytics, Babson College
Nathan Karst, Assistant Professor, Babson College
(1116-62-850) -
11:00 a.m.
Statistical Thinking in a Data Science Course.
Deborah Nolan*, University of California, Berkeley
(1116-62-2183)
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8:00 a.m.