Future of the Statistical Sciences Workshop

Workshop Schedule of Events

Sunday, November 10

19.00-21.00 Pre-Workshop Reception with RSS Young Statisticians Section
Montcalm Hotel London City Bar
52 Chiswell Street, London
(Note: Cash Bar)

Monday, November 11 (RSS Offices)

8.00-9.00 Breakfast and registration available from 8.30
9.00-11.00 Session 1 – Presentations and Discussion:
Peter Buhlmann, ETH Zürich, and Martin Vingron, Free University of Berlin
Statistical Bioinformatics
Raymond J. Carroll, Texas A&M University, and Sue Krebs-Smith, NCI
The Analysis of Dietary Patterns and its Application to Dietary Surveillance and Epidemiology
Marian Scott, University of Glasgow
Environment–Present and Future
Gabi Hegerl, University of Edinburgh
Climate: Past to Future
Doug Nychka, NCAR
Regional Climate–Past, Present and Future
11.00-11.30 Break
11.30-12.45 Session 2 – Breakout Sessions:
2a. Core of the Discipline: Does it Exist?
Discussion Leader: Nancy Reid, University of Toronto
2b. Statistics and Science
Discussion Leader: Marie Davidian, North Carolina State University
12.45-14.15 Lunch
14.15-15.45 Session 3 – Presentations and Discussion:
Paul Embrechts, ETH Zürich, and Michael Dacorogna, SCOR
Statistics, Risk and Regulation
Jane-Ling Wang, University of California, Davis, and Thomas Nichols, University of Warwick
Neuroimaging: Opportunities in Functional Data Analysis
15.45-16.15 Break
16.15-17.30 Session 4 – Breakout Sessions:
4a. Large-Scale Statistical Science (Big Data, Data Science, Data Mining, Etc.): What are the Opportunities?
Discussion Leader: Hadley Wickham, Rice University
4b. Statistics in Business and Government
Discussion Leaders: Steve Scott, Google, and Pedro Silva, Brazilian Institute of Geography and Statistics
17.30-20.00 Reception Sponsored by Taylor & Francis

Tuesday, November 12 (RSS Offices)

8.00-9.00 Breakfast available from 8.00
9.00-11.00 Session 5 – Presentations and Discussion:
Steve Fienberg, Carnegie Mellon University
Developing Confidentiality and Privacy Protection Methods That Scale
Cynthia Dwork, Microsoft Research
The Mete and Measure of Privacy
Michael Newton and David Schwartz, University of Wisconsin-Madison
Millimeter-long DNA Molecules: Genomic Applications and Statistical Issues
Mark Hansen, Columbia University, and Susan Waldron, University of Glasgow
A Birefringent Future
11.00-11.30 Break
11.30-12.45 Session 6 – Breakout Sessions:
6a. Workforce Development, Graduate Education, Online Learning: How Will We Meet the Demand?
Discussion Leader: Sally Morton, University of Pittsburgh
6b. Statistics and Society: Impact on a Global Scale?
Discussion Leader: Miguel Nakamura, Mathematical Research Center, Mexico
12.45-14.15 Lunch
14.15-15.30 Session 7 – Presentations and Discussion:
Jason Carroll and Rory Stark, Cancer Research UK Cambridge Institute, University of Cambridge
Statistics in Cancer Genomics: Where Do Your Proteins Bind?
Susan Murphy, University of Michigan, and Connie Kasari, University of California-Los Angeles
SMART Approaches to Combating Autism
15.30-15.45 Break
15.45-17.15 Session 8 – Presentations and Discussion:
Andrew Gelman, Columbia University
Living with Uncertainty, Yet Still Learning
Michael I. Jordan, University of California-Berkeley
On the Computation/Statistics Interface and “Big Data”
David Spiegelhalter, Cambridge University
Statistics for an Informed Public
Emmanuel Candes, Stanford University
Title TBA
17.15-18.00 Session 9 – Wrap-Up Discussion:
17.30-20.00 Optional Post-Conference Event at King’s College London

[About FSSW]  ·  [Organizing Committee]  ·  [Workshop Invited Participants]
[Schedule of Events]  ·  [View the Workshop Online]

Workshop Sponsors

American Statistical Association National Science Foundation
Royal Statistical Society Institute of Mathematical Statistics
ISI International Biometric Society
Bernoulli Society Statistical Society of Canada
International Association for Statistical Education International Society for Business and Industrial Statistics
SAGE Publications
International Chinese Statistical Association Taylor and Francis
International Indian Statistical Association Wiley