Fighting Fake News with Data

2019 Signature Series Event

Thursday, Nov 7th, 2019

NASCAR Hall of Fame, 400 E M.L.K. Jr Blvd, Charlotte, NC 28202

During our reception, you will have the opportunity to network with some of the brightest minds in the industry while enjoying interactive activities like a Racing Simulator and a Pit Crew Challenge Experience.

Event Schedule

4:30 PM - Registration    5:00 PM - Speaker Session     6:30 PM - Networking + NASCAR's Racing Simulator & Pit Crew Challenge Experience


MEET OUR SPEAKERS

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      Andrew Claster | LinkedIn

Data, Analytics & Polling Consultant - Claster Consulting

TOPIC: Fake News and the 2020 Election

In 2016, the proliferation of 'fake news' altered the presidential campaign narrative and, likely, the result.

What are campaigns doing in response as we head into the 2020 election?

Can data, analytics and technology be leveraged to solve this problem?

On Thursday November 7, Andrew Claster will discuss these issues and others related to the 2020 election.

Andrew Claster is a Democratic data scientist, pollster and former Deputy Chief Analytics Officer for Obama (2011-2012) and Deputy Targeting Director for the Democratic National Committee (2009-2011). He has conducted surveys and data analysis in more than 30 countries, including the US, Canada, Israel, Dominican Republic, UK, Suriname, Indonesia, Malaysia, India, South Africa and many more.

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Geoffrey MacPhie Sexton | LinkedIn

Business Analytics Manager - Red Classic Transportation Services, LLC

TOPIC: BI Program Development at a Growth Organization

Establishing and growing a Business Intelligence and Analytics program in the ever changing environment of a Growth Organization.

Geoffrey joined Red Classic in 2014 and has over 7 years of supply chain and analytics experience along with a Masters of International Business from the University of South Carolina. At Red Classic, he established the BI function and manages a team of analysts who monitor business performance to ensure organizational objectives are achieved.

FROM THE EVENT