Applied Predictive Technologies, Inc.

Aaron Silverman

Mark James D'Agostino

Vrushali Vivek Paunikar

Andrew Crewson

Evan Rosenman

Michael Monteiro

Alan Li

Scott Ings

The methods and systems described herein attempt to address the above-mentioned need by providing an algorithm and software capability to automatically detect and assess 'natural experiments' that exist in any underlying dataset. In one embodiment, a computer-implemented method for identifying an experiment to use in an analysis of a business initiative comprises storing, by a computer, a set of historical data regarding entities in a business network; receiving, by the computer, a selection of inputs for the historical data; detecting, by the computer, a natural experiment based upon changes in the discretized historical data; and outputting, by the computer, a report of a detected experiment from the discretized historical data.

Natural experiment finder system and method

The methods and systems described herein attempt to address the above-mentioned need by providing an algorithm and software capability to automatically detect and assess 'natural experiments' that exist in any underlying dataset. In one embodiment, a computer-implemented method for identifying an experiment to use in an analysis of a business initiative comprises storing, by a computer, a set of historical data regarding entities in a business network; receiving, by the computer, a selection of inputs for the historical data; detecting, by the computer, a natural experiment based upon changes in the historical data; and outputting, by the computer, a report of a detected experiment from the historical data.

Natural experiment finder

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Washington, DC, United States of America

Aaron Silverman