Past Meetup

Suppressing, Synthesizing, and Analyzing Confidential Data

This Meetup is past

259 people went

Location image of event venue

Details

For our August Meetup, we're thrilled to have two speakers who will walk us through a range of options for sharing and working with data that cannot be fully shared. Tom Shen (http://www.linkedin.com/pub/tommy-shen/38/961/559), Senior Data Analyst at the District of Columbia Office of the State Superintendent of Education, will talk about simulation-based approaches to keeping the public and researchers informed about K-12 education, without violating student confidentiality. Then Daniell Toth (http://www.linkedin.com/in/tothd), Senior Research Mathematical Statistician for the Bureau of Labor Statistics, will dive deeper into mathematical techniques that preserve the key properties of data sets, while suppressing potentially identifying information.

Whether you're a government or industry organization looking to provide value to the public or to your customers, or a data scientist who consumes data from other organizations, or merely curious about how these statistical techniques work, this will be a highly valuable presentation.

Plus, we are extremely excited to be branching out a bit as far as location goes! This Meetup will be at the Clarendon, VA offices of Capital One Labs (https://capitalonelabs.com/). In addition to being more convenient for our Virginia members (sorry, Maryland, we'll be back in the District in September), Capital One has a fantastic venue that lets us continue the discussion on their roof deck (weather permitting)! To make this happen, the event will be starting 30 minutes earlier than is typical.

Agenda:

• 6:00pm -- Networking, Food, and Refreshments

• 6:30pm -- Introduction

• 6:45pm -- Presentations

• 7:45pm -- Speaker and Audience Discussion

• 8:00pm -- Stay put for Data Drinks!

Bios:

Tommy Shen has a Masters in Public Policy from Georgetown University, and currently works as a Senior Data Analyst for the District of Columbia Office of the State Superintendent of Education. He's interested in open data, R, and waffles. Follow him @Gimperion (http://twitter.com/Gimperion).

Daniell Toth has a PhD in Mathematics from Indiana University in Bloomington, and works as a Senior Research Mathematical Statistician at the Bureau of Labor Statistics. He is also Associate Editor of The American Statistician, and publishes in topics related to survey methods.

Parking:

For those driving, we encourage you to find parking for this event via our sponsor, ParkMe (http://www.parkme.com/). ParkMe will help you find the closest, cheapest parking, and has iPhone (https://itunes.apple.com/us/app/parkme-parking-find-cheapest/id417605484?mt=8) and Android (https://play.google.com/store/apps/details?id=com.parkme.consumer) apps.