Abstract: A computer implemented method for improving project risk management based on (a) a quantitative analysis of risks affecting activities, i.e., the root factors leading to cost and time overruns on an activity by activity basis, and (b) an optimization of the resources allocation to each activity in the project plan, is employed to maximize the probability of completing projects on time and within-budget. The method can be employed prior to proceeding with one or more projects, but is also advantageous in that it is adaptive in the sense that more information can be learned during the course of a project about the risk factors present in the project, and this information is used to enable dynamically re-allocating resources to ensure a better outcome given an updated risk profile. Preferably, a Bayesian Belief Network (BBN) is used to capture how risk factors identified by project managers influence individual activity durations.

Abstract: A system and method that enables sharing of resources and materials on a worldwide basis is disclosed. This system and method creates a secure extranet, with member sites communicating through a shared mediator service. The extranet protects private information at each site, yet allows searching and sharing of resources by authorized users of any extranet site. A preferred embodiment is an extranet of Lotus Notes/Domino servers, where information can be shared via the extranet without requiring cross-certification or replication among the servers.

Abstract: A system and method that enables sharing of resources and materials on a worldwide basis is disclosed. This system and method creates a secure extranet, with member sites communicating through a shared mediator service. The extranet protects private information at each site, yet allows searching and sharing of resources by authorized users of any extranet site. A preferred embodiment is an extranet of Lotus Notes/Domino servers, where information can be shared via the extranet without requiring cross-certification or replication among the servers.