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BlogLoginGet in TouchJennifer Golbeck is a respected figure in the field of computer science and social media analysis. She is known for her expertise in human-computer interaction and social network analysis. Golbeck's work focuses on understanding and utilizing data from online platforms to study human behavior and relationships.
Part creepy and part surprise, this session looks at how scientists and companies are leveraging big social data to develop new insights into customers and what they want. Dr. Jennifer Golbeck, a world leader in social media research, tracks the rise of social networks and data analytics, how new computational techniques are revealing hidden traits of millions of people online, and how this impacts the future of business.
Artificial intelligence is revolutionizing industries, including healthcare. As AI's role expands, medical professionals must understand its benefits and potential pitfalls, learning to use the technology ethically to minimize harm. AI can enhance medical imaging analysis and social media data to support earlier, more accurate diagnoses, but it also raises privacy concerns by incentivizing companies to exploit personal data without consent. Dr. Jennifer Golbeck, Director of the Social Intelligence Lab at the University of Maryland, College Park, studies and develops cutting-edge AI algorithms. In her talk, she reveals AI's power to extract deep insights from seemingly irrelevant data traces and highlights the ease of obtaining such data from unsuspecting users. Attendees will learn about AI's potential in healthcare and the ethical considerations it entails.
Join Jennifer Golbeck, an expert in computer science and social media analysis, as she delves into the intriguing world of human-computer interaction and social network analysis. Golbeck will guide attendees through the ways in which online data reveals critical insights into human behavior and relationships, significantly enhancing our comprehension of digital interactions. By attending this session, participants will learn how to interpret and leverage online data to uncover the dynamics of human behavior and relationships within digital platforms.