1. A computer-implemented method comprising: translating official sector action non-quantitative text-based data into at least one quantitative risk management tool that electronically anticipates at least one trajectory of at least one official sector cross-border public policy data comprising: receiving electronically, by at least one computer processor, said official sector action non-quantitative text-based data relating to the at least one official sector cross-border public policy data; receiving electronically, by the at least one computer processor, at least one tag or code relating to said official sector action non quantitative text-based data, comprising: tagging at least one concept electronically, by the at least one computer processor, of said at least one official sector action activity of the at least one official sector cross-border public policy data, based on: identifying electronically, by the at least one computer processor, occurrence of a group of words appearing together indicative of a specific concept in said at least one official sector action activity; associating electronically, by the at least one computer processor, said official sector action non-quantitative text-based data with said at least one tag or code, and storing in an electronic computer database; processing electronically, by the at least one computer processor, an algorithmic calculation to obtain the at least one anticipated official sector cross-border public policy data, wherein said algorithmic calculation comprises: linking electronically, by the at least one computer processor, the at least one anticipated official sector cross-border public policy data with said official sector action non-quantitative text-based data and said electronic database; enabling electronically, by the at least one computer processor, a semantic search of said electronic database; extracting electronically, by the at least one computer processor, quantitative data of at least one official sector action activity of the at least one official sector cross-border public policy data from said electronic database, wherein said extracting electronically said quantitative data of said at least one official sector action activity of the at least one official sector cross-border public policy data comprises: identifying electronically, by the at least one computer processor, correlations or covariances between a plurality of said at least one official sector action activity of said at least one official sector cross-border public policy data; receiving electronically, by the at least one computer processor, said at least one tag or code, and said at least one concept; weighting electronically, by the at least one computer processor, said quantitative data of said at least one official sector action activity of the at least one official sector cross-border public policy data, based on: said at least one tag or code, and said at least one concept; a proximity of said at least one official sector action activity to a decision point; and a relative importance of an activity level of said at least one official sector action activity; and anticipating electronically, by the at least one computer processor, the at least one trajectory of the at least one official sector cross-border public policy data of said at least one official sector cross-border public policy based on: said at least one tag or code, and said at least one concept; said identifying electronically of said correlations or covariances, and said weighting electronically based on: said proximity to the deadline, and said relative importance of said activity level; and generating, by the at least one computer processor, at least one graphical representation of said quantitative data and the anticipated at least one trajectory of the at least one official sector cross-border public policy.
24. The method according to claim 1 , comprises: meta-data tagging, by the at least one computer processor, said at least one official sector action activity of said official sector action non-quantitative text-based data with tags comprising: an issuing entity, a date issued, a document type, a date comments are due, if any, and a concept; and wherein said at least one official sector action activity comprises an observation, or occurrence, said observation or occurrence comprising at least one of: an official sector policy research paper, an official sector policy hearing, or an official sector policy speech, to create the electronic database, wherein the electronic database comprises: a customized, edited concept-based database configured to deliver analytical content automatically; identifying, by the at least one computer processor, quantitative measures by semantic analysis of said official sector action non-quantitative text-based data; enabling electronic searching, by the at least one computer processor, of the customized, edited concept-based database; computing, by the at least one computer processor, volumes of a plurality of activity types; computing, by the at least one computer processor, an activity level for an issue of interest for a given time period by coding a point value for said activity level; generating, by the at least one computer processor, an analytical timeline by charting decision points; enabling generating, by the at least one computer processor, of customized electronic quantitative graphs and customized electronic quantitative timelines from data in the customized, edited concept-based database; incorporating, by the at least one computer processor, at least one social media solution providing insight into which issues in the customized, edited concept-based database are “trending”; and providing capacity, by the at least one computer processor, for secure, confidential electronic collaboration among corporate and trade association teams.