Socially Aware Data Mining
New technologies for big data analysis and management have been developed to address challenges of 4V's - Volume, Velocity, Variety, Veracity. Our research on socially aware big data mining recognizes the increasingly close relationship and interaction between people and technologies and integrates computational, cognitive, social, legal and economic considerations. Various analytical methods and business models have been built around the collection and use of individual data including financial transactions, medical records, social interactions, search logs, and genetic information. Big data analysis and mining technologies can be used for great social good; however, they can also be used in ways that perpetrate social harms including damages to privacy and discrimination against individuals and groups. Our core research includes the development of novel technologies and practical systems for privacy-preserving data mining, anti-discrimination data analysis, and fraud detection in cyber networks.