Investigative Data Journalism Conference

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Big data technology companies and trade regulations

Dr. Tamaro Green

Big data technology companies and trade regulations

2020-11-12

As big data technology companies grow, increased regulations may restrict how they control certain types of data (Green, 2018).  Wang and Li (2017) describe how centralized planning and market simulation characterize a planned economy and how big data analytics may play a part in returning to a planned economy.  Kumar (2017) details how international trade affects the enforcement of antitrust laws.  Green (2018) explains how the creation of universal electronic health records could potentially violate antitrust laws.

An increase in software patents may also impact trade and competition (Mattioli, 2017).  Chien (2016) describes how software patents have increased in value and trade between companies.  Allison, Lemley, and Schwartz (2017) study how companies that control many patents for the purpose of litigation are not as successful as those companies that operate with their patents in lawsuits.  Mattioli (2017) describes how the collection of large amounts of data in big data could lead to competition concerns and reduce innovation.

Emerging models for regulation may also influence how big data technology is regulated (Tor, 2014).  Purdy (2018) describes the challenge of enforcing environmental laws as the rise of environmental law lacks the textual basis of constitutional law.  Kaal and Vermeulen (2017) compare different techniques for regulating technological innovation such as principle based regulation or competition regulation.  Tor (2014) describes behavioral antitrust as an emerging research that employs empirical analysis to determine antitrust regulations.

 

 

 

Allison, J. R., Lemley, M. A., & Schwartz, D. L. (2017). How often do non-practicing entities win patent suits? Berkeley Technology Law Journal(32), 237-310. doi:10.15779/Z38GM81P03

Chien, C. V. (2016). Software patents as a currency, not tax, on innovation. Berkeley Technology Law Journal, 31, 1669-1723.

Green, K. (2018). The universe in the palm of your hand: How a universal electronic health record system could improve patient safety and quality of care. DePaul Journal of Health Care Law, 19(2), 2.

Kaal, W. A., & Vermeulen, E. P. M. (2017). How to regulate disruptive innovation -- from facts to data. Jurimetrics: The Journal of Law, Science & Technology, 57(2), 170-190.

Kumar, S. (2017). Patent damages without borders. Texas Intellectual Property Law Journal, 25, 73-113.

Mattioli, M. (2017). The data-pooling problem. Berkeley Technology Law Journal, 32, 179-236. doi:10.15779/Z38R785P10

Purdy, J. (2018). The long environmental justice movement. Ecology Law Quarterly(44), 809-864.

Tor, A. (2014). Understanding behavioral antitrust. Texas Law Review, 92, 573-667.

Wang, B., & Li, X. (2017). Big data, platform economy and market competition: A preliminary construction of plan-oriented market economy system in the information era. World revieW of Political economy, 8(2), 138-161.



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IDJC 2020

International Data Journalism Conference

IDJC 2020

International Data Journalism Conference

IDJC 2020

International Data Journalism Conference