Trusted Data: Privacy, Security, and Economics of Data

Connection Science - 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

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RESEARCH AREAS
Artificial Intelligence icon
Artificial Intelligence
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Computation

Data Science icon
Data Science
Machine Learning​
Machine Learning​
IMPACT AREAS
Big Data
Big Data
Social Networks
Social Networks
Urban Systems
Urban Systems