An advanced course at the intersection of technology and political science. Participants learn how to design data-driven election campaigns and use Marketing Automation tools and AI for voter segmentation and micro-targeting.
Introduction to data-driven campaigning. An overview of CRM and Marketing Automation tools in politics (NationBuilder, HubSpot, local solutions). Organic vs. automated communication.
Collecting data (zero-party & first-party). Mapping voter profiles and identifying swing voters. Using AI for sentiment analysis of public mood online.
Designing supporter-engagement paths (from ad impression, through newsletter sign-up, to donation and turnout). Applying lead nurturing in politics.
How advertising algorithms work (Meta, Google, TikTok). Crafting messages tailored to narrow demographics. Tools for optimizing campaign costs.
Generative AI (LLMs) for political copywriting (speeches, posts, newsletters). Using AI to analyze opponents' strategies (OSINT and basic web scraping).
Legal aspects of voter profiling (GDPR in campaigns). Recognizing and countering disinformation. The line between data-driven persuasion and algorithmic manipulation (e.g. astroturfing).