SCIENTIFIC PROGRAMS AND ACTIVITIES

September 19, 2017

THE FIELDS INSTITUTE FOR RESEARCH IN MATHEMATICAL SCIENCES

Thematic Program on Statistical Inference, Learning, and Models for Big Data January to June, 2015

April 13 – 16, 2015
Workshop on Big Data for Social Policy

Organizing Committee
Sallie Keller (chair),
Robert Groves,
Mary Thompson

Program

The workshop will be organized around the following key topics, all focused on social problems and policy issues: urban analytics; privacy; official statistics; agent-based modeling and network models.

Draft Schedule

Monday April 13: Big Data and Official/Government Statistics

8:00

Coffee and Registration

8:30-9:00

Welcome - Sallie Keller, Virginia Tech

9:00-10:00

Robert R. Groves, Georgetown University
Moving from the Sample Survey Paradigm to a Blended World with High-Dimensional Data

10:00-10:15

Coffee break

10:15-11:15

Mary Thompson, University of Waterloo
Big data, official statistics and survey science
11:15-12:15
Ana Aizcorbe, Virginia Tech
Leveraging "big data" to improve official measures of health care: Lessons from a new Health Satellite Account for the US

12:15-1:30

Lunch break
1:30-2:30
Hélène Bérard, Statistics Canada
A Suggested Framework for National Statistics Offices for Assessing the Quality of Big Data
2:30-3:30
Ron Jarmin, US Census
The Value Chain and Impact of University Research: A Prototype for Modernizing Economic Statistics
3:30-4:00

Tea break

4:00-5:00

Pierre Lavallée, Statistics Canada
Sample Matching: Toward a probabilistic approach for Web surveys and big data?

5:00

Cash bar reception
Tuesday April 14: Network Models and Agent Based Modeling

8:30-9:30

Stanley Wasserman, Indiana University
Using Correspondence Analysis to Attack Big Network Data

9:30-9:45

Coffee break

9:45-10:45

Eric Miller, University of Toronto
Agent-Based Microsimulation of Urban Spatial Socio-Economic Processes: Current Status, Future Prospects and the role of Big Data

10:45-11:00

Coffee break
11:00-12:00
Jonathan Ozik, Argonne National Laboratoy
Agent-based Modeling and Big Data
12:00-1:30
Lunch break
1:30-2:30
Nathaniel Osgood, University of Saskatchewan
Cross - leveraging Systems, Data and Computational Science for Health Behavioural Insight
2:30-3:30
Gizem Korkmaz, Virginia Tech
Insurgency Prediction Using Multiple High Volume Social Media Data Sources

3:30-4:00

Tea break
4:00-5:00
Michael Wolfson, University of Ottawa
Using Agent-Based Models for Social Policy - from LifePaths to THIM
Wednesday April 15: Living Analytics and Privacy
Session: Privacy in the New Era of Big Data

8:30-9:15

Jerry Reiter, Duke University
Making Large-Scale, Confidential Data Available for secondary Analysis
9:15-10:00
Julia Lane, America Institutes of Research
Big Data, Privacy, and the Public Good: Frameworks for engagement

10:00-10:15

Coffee break

10:15-10:30

Michael Wolfson, University of Ottawa
Update from the March 2015 CCA Panel on Timely Access to Health Data.
( http://www.scienceadvice.ca/en/assessments/in-progress/health-data.aspx )
10:30-11:15

Mike Holland, Center for Urban Science and Progress, New York University
Privacy Challenges Arising from the Use of Big Data for Urban Science

11:15-12:00
Aleksandra (Sesa) Slavkovic, Penn State
Differentially Private Exponential Random Graph Models and Synthetic Networks

12:00-1:30

Lunch break
Session: Statistics, Big Data and the Programs of the Living Analytics Research Centre, operated jointly by Carnegie Mellon University and Singapore Management University

1:30-2:30

Stephen Fienberg, Carnegie Mellon University
Overview of Living Analytics Research Centre and its Activities

2:30-2:45

Tea break
2:45-3:45
Archan Misra, Singapore Management University
Mobile Analytics@LiveLabs: Studying Human Behavior in Urban Public Spaces
3:45-4:00
Tea break
4:00-5:00
Pedro Ferreira, Carnegie Mellon University
Randomized Network Experiments with Telcoms in Portugal and Singapore
Thursday April 16: Urban Analytics

8:30-8:45

Overview
Charlie Catlett, University of Chicago and Argonne National Laboratory
Claudio Silva,
Center for Urban Science and Progress, New York University
8:45-10:15
Panel Discussion: Urban Data
Michael Flowers, Center for Urban Science and Progress, New York University
Huy T. Vo, Center for Urban Science and Progress, New York University
Lucien Wilson, KPF and University of Columbia
Budhendra Bhaduri, Oak Ridge National Laboratory

10:15-10:30

Coffee break

10:30-12:00

Panel Discussion: How is Data Being Used? Analyzing the Digital Exhaust of Cities and Urban Processes
Tom Schenk, Chief Data Officer, City of Chicago
Alex Chohlas-Wood, New York Police Department
Harish Doraiswamy, New York University
Matthew Gee, University of Chicago

12:00-1:30

Lunch
1:30-3:00
Panel Discussion: Missing Data - Instrumenting the City
Charlie Catlett,University of Chicago and Argonne National Lab
Jeremy Parra,
Intel

3:00-3:15

Tea break
3:15-4:30
Panel Discussion: Where are the Opportunities and Challenges?
Claudio Silva (Moderator), Center for Urban Science and Progress, New York University
Michael Flowers, Center for Urban Science and Progress, New York University
Huy T. Vo, Center for Urban Science and Progress, New York University
Lucien Wilson, KPF and University of Columbia
Budhendra Bhaduri, Oak Ridge National Laboratory
Tom Schenk, Chief Data Officer, City of Chicago
Alex Chohlas-Wood, New York Police Department
Harish Doraiswamy, New York University
Matthew Gee, University of Chicago
Charlie Catlett, University of Chicago and Argonne National Lab
Jeremy Parra, Intel
4:30-5:00
Closing remarks, Stephanie Shipp, Virginia Tech
Policy meets Social and Decision Informatics




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