| CPC G06F 9/5027 (2013.01) | 19 Claims |

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1. A computer implemented method comprising:
obtaining data from a knowledge source for an entity, the knowledge source comprising a plurality of environmental, social, and governance (ESG) disclosures, wherein the ESG disclosures relate to one or more ESG dimensions;
computing, using the obtained data, a vulnerability indicator score (VIS) for each of the ESG dimensions, wherein a vulnerability indicator score for an ESG dimension of the one or more ESG dimensions represents a measure of latent vulnerability with respect to the ESG dimension;
computing, using the obtained data, a descriptive distribution score for each of the ESG dimensions, wherein the descriptive distribution scores represent a distribution of descriptions of the ESG dimensions within the knowledge source, and wherein computing a descriptive distribution score for an ESG dimension of the one or more ESG dimensions comprises:
computing a first value comprising a relative discourse significance value of the ESG dimension multiplied by a volume of relevant quantifiable information contained in the knowledge source specific to the ESG dimension;
computing a second value comprising a sum, over all ESG dimensions, of a relative discourse significance of an ESG dimension multiplied by a volume of relevant quantifiable information contained in the knowledge source specific to the ESG dimension; and
computing the descriptive distribution score for the ESG dimension by dividing the first value by the second value;
determining, using the vulnerability indicator scores and the descriptive distribution scores, an allocation of computational resources to ESG computational processes associated with the ESG dimensions that achieves an increased gain in sustainability for the entity; and
initiating allocation of the computational resources to the ESG computational processes associated with the ESG dimensions according to the determined allocation.
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