Natural experiment finder

US10776738B1 · kind B1 · utility

Assignee

• APPLIED PREDICTIVE TECHNOLOGIES, INC. · US

Inventors

• Evan Rosenman · Hackettstown, US
• Aaron Silverman · Washington, US
• Vrushali Paunikar · San Francisco, US
• Alan Li · San Francisco, US
• Mark James D'Agostino · Washington, US
• Andrew Crewson · Arlington, US
• Michael Monteiro · Menlo Park, US
• Scott Ings · Arlington, US

Key dates

• Filing date: May 10, 2019
• Grant date: Sep 15, 2020
• Expiry date: May 10, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q10/067
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

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.