Estimating, learning, and enhancing project risk

A system for ranking a plurality of objects, the system comprising:

• a processor;
• and
• a computer readable storage medium that stores instructions which, when executed, cause the processor to perform operations comprising:
• obtaining an initial set of data relating to the plurality of objects;
• generating an initial set of estimates based on the initial set of data, wherein the initial set of estimates includes, for each of the plurality of objects, an initial estimated change in performance and an initial estimated likelihood of decline in the performance;
• incrementally and dynamically refining the initial set of estimates in accordance with a new set of data from a new data source and relating to the plurality of objects to produce a refined set of estimates, wherein the refined set of estimates includes, for each of the plurality of objects, a refined estimated change in performance and a refined estimated likelihood of decline in the performance, wherein the refining is performed without modifying or replacing a system used to generate the initial set of estimates;
• and
• generating a list that ranks the plurality of objects according to the refined set of estimates.