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In 1890 Samuel D. Warren and Louis D. Brandeis published their seminal privacy article. Both then and today, technology plays an important role in shaping the privacy, competition, and consumer protection concerns that society faces.
The Institute has several aims. It first seeks to examine the collection, use, and dissemination of data. As technology has evolved, data collection has commonly been characterized by four “V”s: the volume of data, the velocity at which data is collected, used and disseminated, the variety of information aggregated, and finally the value of the data.
The Institute’s second aim is to better understand the socio-economic implications of a data-driven economy. The Institute will consider the economic, social, political, ethical and moral contexts of a data-driven economy. As public and private organizations harness the technological advances in data collection, use, and dissemination, the Institute will assess the implications on society’s interests in privacy, in protecting consumers from behavioral exploitation, on political rights and liberties and in promoting an effective competitive system.
The Institute’s third aim is promote a better understanding of the threats to a data-driven economy. Public and private organizations can use the data technologies to hamper economic liberty and effective competition, to the detriment of citizen well-being.
The Institute’s fourth aim is to promote standards, not for the purpose of directing the day-to-day processes of a data-driven economy, but to provide the structural conditions in which a data-driven economy can enhance citizen welfare. Drawing on the common values underlying competition, privacy,
and consumer protection law, the Institute seeks to foster discussion over how policymakers can promote formal and informal institutions that will protect human dignity, autonomy, private and family life, and well-being.
Finally the Institute aims to provide a platform whereby scholars, businesses and policymakers can collaborate to better understand the implications of a data-driven economy so as to capture its potential benefits while mitigating
its associated risks.