For our September Meetup - we will be focussing on the 2016 Presidential Election and the trends and insights that are being uncovered in Social Data.
-> Kellan Terry, Brandwatch, Quantifying Political Success with Social Data (LinkedIn (https://www.linkedin.com/in/kellan-terry-8882b240), @ArrowMaker5 (https://twitter.com/ArrowMaker5))
Social media, not polls, is the greatest gauge of the efficacy of a candidate's campaign maneuvers. In 2016, presidential hopefuls can gather real-time feedback from the voters they so desperately try to appeal to by gathering and analyzing social data to discover the insights therein. Within this presentation we'll look at how candidates performed through debates, conventions and controversies as their social discussions address every up and down.
Kellan is the Senior PR Data Analyst at social intelligence company, Brandwatch. He has served as the lead analyst around the 2016 US Presidential Election, and has provided data and analysis to media outlets such as the Wall Street Journal, USA Today, Reuters, NPR and more.
-> David Troy, CEO 410Labs (http://410labs.com/#about), (LinkedIn (https://www.linkedin.com/in/davidctroy), @davetroy (https://twitter.com/davetroy)), A Networked Theory of Trump Support: The still-emerging field of network science offers perhaps our best shot at understanding the Trump phenomenon.
David is a serial technology entrepreneur and community builder. He founded regional ISP and hosting provider ToadNet. He developed Twittervision as well as open source voice-over-IP systems. To help grow the Baltimore creative community he founded Beehive Baltimore, Baltimore Angels and the TEDxMidAtlantic conferences.
-> Dr. V.S. Subrahmanian, Professor in the Department of Computer Science, (LinkedIn (https://www.linkedin.com/in/v-s-subrahmanian-8500577), @vssubrah (https://twitter.com/vssubrah)) - Bots, Sentiment, and More in the 2016 US Presidential Election
VS is Professor of Computer Science at the University of Maryland and a founder of Sentimetrix. He develops new data-driven algorithms to solve a host of problems ranging from identifying influencers, bots, and bad actors in social networks, forecasting terror attacks and destabilizing terror networks, to increasing airline profits via predictive analytics. His work has been featured by numerous media outlets such as the Washington Post, The Economist, PBS, and more.