COMPUTER-PROCESSING SYSTEM SCORING SUBJECTS RELATIVE TO POLITICAL, ECONOMIC, SOCIAL, TECHNOLOGICAL, LEGAL AND ENVIRONMENTAL (PESTLE) FACTORS, UTILIZING INPUT DATA AND A COLLABORATION PROCESS, TRANSFORMING A MEASUREMENT VALUATION SYSTEM REGARDING THE VALUE OF SUBJECTS AGAINST AN AGENDA

• US 20110093420A1
• Filed: 10/15/2010
• Published: 04/21/2011
• Est. Priority Date: 10/16/2009
• Status: Abandoned Application

• Current Assignee: Erik Rothenberg, Jeannette Draper, Kevin Goldberg, William J. Salak
• Original Assignee: Erik Rothenberg, Jeannette Draper, Kevin Goldberg, William J. Salak
• Inventors: Rothenberg, Erik, Draper, Jeannette, Goldberg, Kevin, Salak, William J.
• Application Number:
  US12/905,521
• Publication Number:
  US 20110093420A1
• Time in Patent Office: Days
• US Class Current: 706/45
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Abstract

A method for computing a universal sustainability index comprising the steps of creating a network, inviting participants to join the network, gathering participant data, imputing contributed data by the participants and transforming the contributed data via a computer to obtain a universal sustainability index or alphanumeric indicator. Participant data is gathered utilizing surveys, tests, questionnaires. Contributed data is imputed from participants and comprises attributes, sub-attributes, statements, sub-statements, subjects, raw values, range bottoms, range tops, percent weights, polarity, third party data, and the like. The contributed data is then transformed to obtain a universal sustainability index or alphanumeric indicator, wherein the universal sustainability score or collection of scores comprises an indicator, and wherein the indicator is a numerical value of a selected subject, or comprises an index wherein the index is a numerical value of a selected agenda or sub-agenda.

Claims

1. A method for generating a universal sustainability score, said method comprising the steps of:

utilizing at least one computer processor to generate a taxonomy from data, wherein said data is selected from the group consisting of statements, subjects, attributes, and combinations thereof, and wherein said taxonomy supports an agendum;

assigning raw values to said attributes, wherein said raw values are a numerical assessment of said attributes;

normalizing said raw values into scaled values, wherein said scaled values are standardized raw values;

adjusting said scaled values into adjusted values, wherein said adjusted values indicate the polarity of said attributes;

weighting said adjusted values into weighted values, wherein percent weights are mathematically applied to said adjusted values to calculate said weighted values;

calculating said weighted values into statement weighted values, wherein said statement weighted values are mathematically derived throughout said taxonomy utilizing said weighted values linked to said statements, and wherein said statement weighted values are numerical values associated with said statements; and

calculating said statement weighted values into agendum weighted values, wherein said agendum weighted values are mathematically derived throughout said taxonomy utilizing said statement weighted values linked to said agendum, and wherein said agendum weighted values are numerical values associated with said agendum, and wherein said agendum weighted values are mathematically combined to generate said universal sustainability score.

2. The method of claim 1, wherein said data is contributed into said taxonomy by an entity selected from the group consisting of artificial intelligence, input data from a plurality of networked users, captured data from a plurality of data sources, and combinations thereof.

3. The method of claim 2, wherein said data is related to PESTLE factors, wherein said PESTLE factors are selected from the group consisting of political factors, economical factors, societal factors, technological factors, legal factors, environmental factors, and combinations thereof.

4. The method claim 3, wherein said plurality of networked users comprise individuals skilled in a particular field, and wherein said plurality of networked users accumulate voting currency.

5. The method of claim 4, wherein said step of assigning said raw values to said attributes further comprises the steps of:

assigning a range bottom to said attributes, wherein said range bottom is the lowest acceptable numeric value for said raw values, and wherein said plurality of networked users assign said range bottom to said attributes; and

assigning a range top to said attributes by said plurality of networked users, wherein said range top is the highest acceptable numeric value for said raw values, and wherein said plurality of networked users assign said range top to said attributes.

6. The method of claim 5, wherein said raw values are normalized on a numeric scale between said range bottom and said range top.

7. The method of claim 6, wherein said step of adjusting said scaled values into said adjusted values further comprises the step of:

assigning a polarity to said scaled values, wherein said polarity is chosen from the group consisting of negative polarity, positive polarity, and combinations thereof.

8. The method of claim 7, wherein said percent weights are defined by said plurality of networked users, and wherein said plurality of networked users directly input a numeric value for said percent weights.

9. The method of claim 8, wherein said percent weights are defined by said plurality of networked users, and wherein said plurality of networked users selectively expend voting currency to input a numeric value for said percent weights.

10. The method of claim 9, wherein said percent weights are defined by said plurality of networked users, and wherein said plurality of networked users selectively cast votes towards a numeric value to be inputted for said percent weights, and wherein said votes systematically adjust said percent weights.

11. The method of claim 10, wherein said universal sustainability score comprises a numerical value, and wherein said universal sustainability score is representative of PESTLE factors.

12. The method of claim 11, wherein said statements in said taxonomy further comprise sub-statements, and wherein said statements support said agenda, and wherein said statements are organized hierarchically under said agenda.

13. The method of claim 12, wherein said subjects are selected from the group consisting of a person, a place, a thing, and combinations thereof, and wherein said universal sustainability score is calculated for said subjects.

14. The method of claim 13, wherein said attributes in said taxonomy further comprise sub-attributes, wherein said sub-attributes sharing common said attributes are linked together into attribute sets, and wherein said attribute sets produce unified said weighted values for said attributes.

15. The method of claim 14, wherein said attributes are selectively linked to said statements, and wherein said weighted values for said attributes are mathematically applied to said percent weights of linked said statements.

16. The method of claim 15, wherein said step of calculating said weighted values into said statement weighted values further comprises the steps of:

combining said weighted values of said attributes to mathematically derive attribute weighted totals for said attributes;

selecting said sub-statements related to said attributes, wherein said sub-statements are applicable to said attributes within said taxonomy, and wherein said sub-statements inherit said attribute weighted totals;

multiplying said attribute weighted totals by sub-statement percent weights of said sub-statements to calculate sub-statement weighted values, wherein said sub-statement percent weights are defined by a selection from the group consisting of said voting currency, said votes, and combinations thereof;

combining said sub-statement weighted values of said sub-statements to mathematically derive sub-statement weighted totals for said sub-statements;

selecting said sub-statements linked to statements, wherein said sub-statements are applicable to said statements within said taxonomy, and wherein said statements inherit said sub-statement weighted totals;

multiplying said sub-statement weighted totals by statement percent weights of said statements to calculate statement weighted values, wherein said statement percent weights are defined by a selection from the group consisting of said voting currency, said votes, and combinations thereof; and

combining said statement weighted values of said statements to mathematically derive statement weighted totals for said statements.

17. The method of claim 16, wherein said step of calculating said statement weighted values into agendum weighted values further comprises the steps of:

selecting said statements to affect said agenda, wherein said statements are applicable to said agenda within said taxonomy, and wherein said agenda inherit said statement weighted totals; and

multiplying said statement weighted totals by agenda percent weights of said agenda to calculate said agendum weighted values, wherein said agenda percent weights are defined by a selection from the group consisting of said voting currency, said votes, and combinations thereof, and wherein said agendum weighted values are a numerical score for generating said universal sustainability score.

18. The method of claim 17, further comprising the steps of:

selecting said subjects from the group consisting of said attributes, said statements, and combinations thereof, wherein said subjects are selected by said plurality of networked users;

calculating said weighted values for selected said subjects; and

combining said weighted values for selected said subjects to mathematically derive subject scores, wherein said subject scores are an alphanumeric value indicator for said subject.

19. A method for generating an impact score, wherein said impact score is a numerical indicator of universal sustainability of a subject in relation to applicable statements, wherein said statements support said subject, said method comprising the steps of:

defining said subject, wherein said subject comprises a selection from the group consisting of a person, a place, a thing, and combinations thereof;

utilizing at least one computer processor to generate statements, attributes, and combinations thereof, wherein said attributes may selectively be linked to said statements;

assigning statement percent weights to said statements, wherein said statement percent weights identify the importance of said statements;

assigning attribute percent weights to said attributes, wherein said attribute percent weights identify the importance of said attributes relative to said subject;

inputting raw values into said attributes, wherein said raw values satisfy said attributes;

multiplying said raw values with said attribute percent weights to derive attribute values;

linking together select said statements, said attributes, and combinations thereof;

multiplying said attribute values of said attributes linked to select said statements with said statement percent weights to derive statement values; and

combining together said statement values of said statements applicable to said subject to calculate said impact score.

20. A method for generating a subject score, wherein said subject score is a numerical indicator of a subject, said method comprising the steps of:

defining said subject, wherein said subject comprises a selection from the group consisting of a person, a place, a thing, and combinations thereof;

utilizing at least one computer processor to generate attributes, sub-attributes and combinations thereof, wherein said sub-attributes are linked to said attributes;

assigning attribute percent weights to said attributes, wherein said attribute percent weights identify the importance of said attributes relative to said subject;

inputting raw values into said attributes, wherein said raw values satisfy said attributes;

multiplying said raw values with said attribute percent weights to derive attribute values; and

combining together said attribute values of said attributes applicable to said subject to calculate said subject score.

21. A method for generating a taxonomy, wherein said taxonomy is a modular hierarchy incorporating data contributed by a plurality of networked users, said method comprising the steps of:

contributing data into said taxonomy, wherein said data is selected from the group consisting of sub-attributes, attributes, sub-statements, statements, agenda, and combinations thereof, and wherein said data is contributed by a plurality of networked users utilizing at least one computer processor;

linking said sub-attributes to said attributes;

linking said sub-statements to said statements; and

organizing said data within said taxonomy into a modular hierarchy, wherein said plurality of networked users selectively link said attributes to said sub-statements, and wherein plurality of networked users selectively link said statements to said agenda.