The Future of Political Consulting by The AAPC
The Future of Political Consulting by The AAPC
Podcast Description
Join us as we explore the evolving landscape of political consulting in a rapidly changing world. From emerging technologies and digital strategies to shifts in voter behavior and campaign compliance, we’ll dive deep into the trends shaping the elections of tomorrow. Whether you're a political strategist, campaign manager, or curious about the future of democracy, this podcast offers insights from top industry experts and thought leaders on what’s next for the world of political consulting.
Podcast Insights
Content Themes
This podcast focuses on the evolving landscape of political consulting, with specific topics including the role of women in elections, data-driven campaigns, and the impact of disinformation on political strategies. Episodes explore themes such as voter perceptions and political realities, with notable examples featuring guests like Jennifer Lawless and Sara Fagen discussing election trends.
Join us as we explore the evolving landscape of political consulting in a rapidly changing world. From emerging technologies and digital strategies to shifts in voter behavior and campaign compliance, we’ll dive deep into the trends shaping the elections of tomorrow. Whether you’re a political strategist, campaign manager, or curious about the future of democracy, this podcast offers insights from top industry experts and thought leaders on what’s next for the world of political consulting.
In this candid conversation, Molly O’Shaughnessy, CEO of EMC Research and Julie Sweet, AAPC's Director of Advocacy & Industry Relations, explore how AI and advanced modeling are being used in political research today, where humans remain essential, and what consultants should understand before putting these tools to work. Drawing on real-world examples, including EMC's work developing California electoral personas, their conversation gets into what AI can reveal that traditional crosstabs may miss, and where its limitations become important.
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