The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 23, 2020
Filed:
Apr. 21, 2017
Fiscalnote, Inc., Washington, DC (US);
Vladimir Eidelman, Chevy Chase, MD (US);
Brian Grom, Lake Worth, FL (US);
Daniel Argyle, Alexandria, VA (US);
Jervis Pinto, Silver Spring, MD (US);
FISCALNOTE, INC., Washington, DC (US);
Abstract
A collaborative prediction system for altering predictive outcomes of dynamic processes may include a processor configured to store initial information about a specific dynamic process having a plurality of potentially differing outcomes, assign to the specific dynamic process a first likelihood of occurrence of at least one of the potentially differing outcomes, and receive, from a first system user, notification data, the notification data being associated with the specific dynamic process. The processor may be configured to transmit, based on the notification data, at least some of the stored initial information about the specific dynamic process to the second system user and the third system user, receive from the second system user, first additional information responsive to the at least some of the stored initial information about the specific dynamic process and impacting the specific dynamic process, and generate, based on the first additional information and the initial information, a second likelihood different from the first likelihood. The processor may further be configured to transmit to the first system user, the second system user, and the third user an indication of the second likelihood, receive from the third system user, second additional information impacting the specific dynamic process, generate, based at least in part on the second additional information, a third likelihood different from the first likelihood and the second likelihood, and transmit to the first system user, the second system user, and the third system user an indication of the third likelihood.