Technology is transforming how we understand society. For decades, researchers relied on surveys to learn about populations. But today, data comes from everywhere - administrative records, social media, and even fitness trackers.

In this episode, we explore this shift with Professor Frauke Kreuter - a global leader in social data science. She explains how combining traditional survey methods with diverse data sources can help answer critical questions about health, education, and public policy, while also revealing the challenges of bias in digital data.

Recently, Frauke has made a bold move into artificial intelligence and large language models (LLMs). She shares why this transition matters, how AI is reshaping social research, and what the future holds for data-driven insights.

Our host is Cynthia Huang.

Episode page: https://www.therandomsample.com.au/podcast/social-data-science/

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