Bavo DC Campo, a talented data scientist specializing in fraud detection and social network analytics, shares his insights on combating insurance fraud. He discusses how graph techniques reveal hidden links among fraudulent claims and actors. Bavo introduces the BiRank algorithm, akin to Google’s PageRank, which helps prioritize suspicious claims. His innovative iFraud simulator is also highlighted, showcasing its role in training models to detect fraud. The episode underscores the vital role of social networks in identifying patterns and trends in fraudulent activities.