23 patents
Utility
Use of machine-learning models in creating messages for advocacy campaigns
25 Jul 23
An advocacy system uses trained machine learning models to create messages that are sent to advocates or policymakers to achieve desired outcomes for an organization.
Vladimir Eidelman, Daniel Argyle, Paul Matthew Eilender, Jr., Megan McCoskey
Filed: 20 Sep 22
Utility
Generating Issue Graphs for Analyzing Organizational Influence
6 Jul 23
A system for generating and analyzing organizational influence data is disclosed.
VLAD EIDELMAN, Daniel Argyle, Anthony DeStefano, Anastassia Kornilova, Fallon Farmer
Filed: 30 Dec 21
Utility
Generating Issue Graphs for Identifying Stakeholder Issue Relevance
6 Jul 23
A method for identifying stakeholders relative to an issue is disclosed.
VLAD EIDELMAN, Daniel Argyle, Anthony DeStefano, Anastassia Kornilova, Fallon Farmer
Filed: 30 Dec 21
Utility
Generating Issue Graphs for Analyzing Policymaker and Organizational Interconnectedness
6 Jul 23
A system for generating and analyzing issue graphs is disclosed.
Vlad Eidelman, Daniel Argyle, Anthony DeStefano, Anastassia Komilova, Fallon Farmer
Filed: 30 Dec 21
Utility
Systems and methods for determining the impact of issue outcomes
16 May 23
A system for predicting and prescribing actions for impacting policymaking outcomes may include at least one processor configured to access first information scraped from the Internet to identify, for a particular pending policy, information about a plurality of policymakers slated to make a determination on the pending policy.
Vladimir Eidelman, Daniel Argyle
Filed: 7 Dec 20
Utility
Use of Machine-Learning Models in Creating Messages for Advocacy Campaigns
20 Apr 23
A system creates alerts of issues of importance to an organization.
Vladimir Eidelman, Daniel Argyle, Paul Matthew Ellender, JR.
Filed: 20 Sep 22
Utility
Use of Machine-Learning Models in Creating Messages for Advocacy Campaigns
20 Apr 23
An advocacy system uses trained machine learning models to create messages that are sent to advocates or policymakers to achieve desired outcomes for an organization.
Vladimir Eidelman, Daniel Argyle, Paul Matthew Ellender, JR., Megan McCoskey
Filed: 20 Sep 22
Utility
Use of Machine-Learning Models in Creating Messages for Advocacy Campaigns
20 Apr 23
An advocacy system uses trained machine learning models to create messages that are sent to advocates or policymakers to achieve desired outcomes for an organization.
Vladimir Eidelman, Daniel Argyle, Paul Matthew Ellender, JR., Megan McCoskey
Filed: 20 Sep 22
Utility
Systems and methods for determining the impact of issue outcomes
24 Jan 23
A system for predicting and prescribing actions for impacting policymaking outcomes may include at least one processor configured to access first information scraped from the Internet to identify, for a particular pending policy, information about a plurality of policymakers slated to make a determination on the pending policy.
Vladimir Eidelman, Daniel Argyle
Filed: 14 Dec 18
Utility
Use of machine-learning models in creating messages for advocacy campaigns
20 Sep 22
An advocacy system uses trained machine learning models to create messages that are sent to advocates or policymakers to achieve desired outcomes for an organization.
Vladimir Eidelman, Daniel Argyle, Paul Matthew Ellender, Jr., Anastassia Kornilova
Filed: 28 Feb 22
Utility
Use of Machine-Learning Models in Creating Messages for Advocacy Campaigns
16 Jun 22
An advocacy system uses trained machine learning models to create messages that are sent to advocates or policymakers to achieve desired outcomes for an organization.
Vladimir Eidelman, Daniel Argyle, Paul Matthew Ellender, JR., Anastassia Kornilova
Filed: 28 Feb 22
Utility
Use of Machine-Learning Models in Creating Messages for Advocacy Campaigns
5 May 22
An advocacy system uses trained machine learning models to create messages that are sent to advocates or policymakers to achieve desired outcomes for an organization.
Vladimir Eidelman, Daniel Argyle, Paul Matthew Ellender, JR., Anastassia Kornilova
Filed: 4 Nov 21
Utility
Use of machine-learning models in creating messages for advocacy campaigns
26 Apr 22
An advocacy system uses trained machine learning models to create messages that are sent to advocates or policymakers to achieve desired outcomes for an organization.
Vladimir Eidelman, Daniel Argyle, Paul Matthew Ellender, Jr., Anastassia Kornilova
Filed: 4 Nov 21
Utility
Systems and methods for targeting policymaker communication
19 Oct 21
A prediction system provided with an integrated communications interface may include at least one processor configured to scrape the Internet to identify a currently pending legislative bill and information about legislators slated to vote on the pending bill.
Vladimir Eidelman, Daniel Argyle, Fallon Farmer, Anastasisa Kornilova
Filed: 16 Nov 20
Utility
Systems and methods for predicting future event outcomes based on data analysis
21 Sep 21
A hybrid prediction system may aggregate electronic data to identify and initially predict an outcome of a future event and subsequently update the initial prediction.
Vladimir Eidelman, Brian Grom, Daniel Argyle, Jervis Pinto
Filed: 21 Apr 17
Utility
Systems and Methods for Targeting Policymaker Communication
13 May 21
A prediction system provided with an integrated communications interface may include at least one processor configured to scrape the Internet to identify a currently pending legislative bill and information about legislators slated to vote on the pending bill.
VLADIMIR EIDELMAN, Daniel ARGYLE, Fallon FARMER, Anastasisa KORNILOVA
Filed: 16 Nov 20
Utility
Systems and Methods for Determining the Impact of Issue Outcomes
22 Apr 21
A system for predicting and prescribing actions for impacting policymaking outcomes may include at least one processor configured to access first information scraped from the Internet to identify, for a particular pending policy, information about a plurality of policymakers slated to make a determination on the pending policy.
Vladimir Eidelman, Daniel Argyle
Filed: 7 Dec 20
Utility
Systems and methods for providing a virtual whipboard
16 Nov 20
A prediction system provided with an integrated communications interface may include at least one processor configured to scrape the Internet to identify a currently pending legislative bill and information about legislators slated to vote on the pending bill.
Brian Grom, Daniel Argyle, John Zoshak, Vladimir Eidelman, Dan Maglasang
Filed: 20 Apr 17
Utility
Systems and methods for correlating comments and sentiment to policy document sub-sections
5 Oct 20
A text analytics system may ascertain sentiment about multi-sectioned documents and may associate the sentiment with particular sections.
Brian Grom, Vladimir Eidelman, Daniel Argyle, Jervis Pinto, Manuela Rios
Filed: 20 Apr 17
Utility
Systems and Methods for Analyzing Policymaker Influence
1 Jul 20
An Internet-based agenda data analysis system may include at least one processor configured to maintain a list of user-selectable agenda issues, present to a user via a user interface, the list of user-selectable agenda issues, and receive via the user interface, based on a selection from the list, agenda issues of interest to an organization.
Daniel Argyle, Anastassia Kornilova, Fallon Farmer, Vladimir Eidelman
Filed: 23 Feb 20