Systems and methods for altering issue outcomes

A method for predicting and prescribing actions for impacting policymaking outcomes, the method comprising:

• accessing 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;
• parsing the scraped first information to determine an initial prediction relating to an outcome of the pending policy, the initial prediction including a prediction for each of the plurality of policymakers and a measure of the propensity of each of the plurality of policymakers to decide in accordance with the initial prediction;
• displaying to a system user the initial prediction including how each of the plurality of legislators is likely to decide and the associated propensity to decide in the predicted manner;
• accessing second information to identify an action likely to change at least one of the initial prediction and the propensity of at least one policymaker, to thereby generate a subsequent prediction corresponding to an increase in a likelihood of achieving the desired outcome;
• and
• displaying to the system user a recommendation to take the action in order to increase the likelihood of achieving the desired outcome.

A data analysis system for aggregating data from at least one internet server and providing a predicted outcome based on the aggregated data, the system comprising:

• at least one processor configured to:
• receive event data from the at least one internet server;
• receive, from the at least one internet server, alignment data associated with the event data, wherein the alignment data includes support or opposition data of at least one individual relating to an outcome of the event;
• receive from a system user, via an interactive interface of a browser, a desired outcome indicator corresponding to the event;
• generate, based on the event data and the alignment data, assumption data, wherein the assumption data is output to the interface;
• calculate, based on the assumption data and the desired outcome data, a success probability of the desired outcome, wherein the success probability is output to the interface;
• and
• generate a suggested alteration to the assumption data that impacts the success probability, wherein the suggested alteration is generated based on the event data, the alignment data, and the success probability.