Big-data analysis has become increasingly important in detecting and litigating major cases of systemic misconduct. Quantitatively analyzing these events is challenging because of the volume of data in addition to the context of litigations, investigations, and regulatory proceedings requiring speed and accuracy but without complete information about the data. In their article “A Primer on Big Data for Litigators, Investigators, and Regulators” published by the American Bar Association (ABA), Secretariat Economists’ Managing Director Stuart Gurrea and Associate Director William Schwartz identify the challenges and constraints surrounding “adversarial data science” and offer a step-by-step big-data management plan to overcome such constraints.
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