Trusted Data: Privacy, Security, and Economics of Data
PROJECT HIGHLIGHTS
MIT Connection Science heads an alliance of nations and multinational corporations in order to establish new standards and develop new technologies for collecting, holding, and using data. The alliance has been critical in establishing the EU data standards (GDPR, Eurostat official statistics, privacy regulation) and data infrastructure for companies such as Fidelity, Intuit, and AT&T.
KEY FINDINGS
Relatively simple changes in data architecture and machine learning can transform existing systems to be compliant with existing and anticipated future data regulation, while at the same time dramatically improving security.
RELATED PUBLICATIONS
RESEARCH AREAS
Artificial Intelligence
Computation
Data Science
Machine Learning​
IMPACT AREAS
Big Data
Social Networks
