Called "the human embodiment of Twitter" by The New York Times, Adam Sharp has forged a distinctive career of more than twenty years at the intersection of media, technology, and politics. Sharp joined Twitter in November 2010 as its first hire in Washington, DC. From 2010 through 2016, Sharp was Head of News, Government, and Elections at Twitter, advising and driving creative uses of Twitter by journalists and news organizations, government officials and agencies, and political candidates and campaigns worldwide. He led the platform’s approach to the 2012 and 2016 US and more than a dozen international elections during his tenure. He was also director of media partnerships and worked closely with the media, government, and political candidates that wanted to make use of Twitter. Sharp became the longest-serving member of the company’s global media team, and its most visible broadcast spokesperson.

Michael Maslansky, renowned message strategist, advises industry associations, professional communicators, and Fortune 500 companies on language strategies that shift perceptions and move markets. Using research and a trademarked polling methodology, he provides clear and compelling advice for how to use the right language and the right approach to using it.

Rayid Ghani is a Distinguished Career Professor in the Machine Learning Department and the Heinz College of Information Systems and Public Policy at Carnegie Mellon University. Rayid is a reformed computer scientist and wanna-be social scientist, but mostly just wants to increase the use of large-scale AI/Machine Learning/Data Science in solving large public policy and social challenges in a fair and equitable manner. Among other areas, Rayid works with governments and non-profits in policy areas such as health, criminal justice, education, public safety, economic development, and urban infrastructure. Rayid is also passionate about teaching practical data science and started the Data Science for Social Good Fellowship that trains computer scientists, statisticians, and social scientists from around the world to work on data science problems with social impact.