Project Details
Project Description
This is a proposed partnership between Murdoch Children's Research Institute (MCRI) and Monash University.The goal of this research is two fold: to investigate the use of BNs in improving vaccine adverse event signal early detection and to implement a working prototype.
This project will include several resources, most of which will be provided in-kind be either Monash of MCRI. The funding for this project will come from MCRI to Monash and will cover the cost of a PhD candidates stipend plus partial fees.
Proposed Project Team:
CI - Jim Buttery (TBD%)
CI - Ann Nicholson (5%)
Project Manager & Domain Expert (2-4 hours a week)
BN Post Doc (12 Months & 100%)
PhD - Ross Pearson (12 Months @ 50%)
PhD - Sobia Iftikhar (3.5 Years @ 100%)
Statistician (3 Month)
Casual Research Assistant (5-10K)
The full term PhD candidate is to be located with MCRI and will endure beyond this first phase of this project. This will provide MCRI with on-going expertise in the field of Bayesian Networks and also knowledge of Phase 1 that may be leveraged for subsequent research.
Ross Pearson will be the coordination lead for the BN Research efforts with Ann Nicholson ultimately steering the project direction. A chapter in Ross’s thesis will be devoted to this project.
A separate Project Manager is proposed (2 hours a week) that ideally will be a MCRI team member. This resource will have the capacity to manage the budget and milestones as well as have domain expertise that can support the development of the problem and guide the team in this regard.
The BN Post Doc will be the main contributor to the BN Research and will be the custodian of the end Bayesian Network (Models).This resource will be employed by MCRI.
It is anticipated that there will be human subject experimentation where experts are elicited as part of the Knowledge Engineering Bayesian Network (KEBN) process. The specifics of this approach will depend on the quality of data, availability of experts, and the use cases and quotations that need to be answered.
The statistician will be of significant help in planning and conducting any quantitative assessments we may perform as part of the experimentation.
The causal research assistant we are proposing is particularly good at composing academic papers and will pursue the writing and publishing of the main project paper.
Further details of the proposed project plan can be found in the attachment titled "Project Proposal" are proposed PhD topic is also attached.
This project will include several resources, most of which will be provided in-kind be either Monash of MCRI. The funding for this project will come from MCRI to Monash and will cover the cost of a PhD candidates stipend plus partial fees.
Proposed Project Team:
CI - Jim Buttery (TBD%)
CI - Ann Nicholson (5%)
Project Manager & Domain Expert (2-4 hours a week)
BN Post Doc (12 Months & 100%)
PhD - Ross Pearson (12 Months @ 50%)
PhD - Sobia Iftikhar (3.5 Years @ 100%)
Statistician (3 Month)
Casual Research Assistant (5-10K)
The full term PhD candidate is to be located with MCRI and will endure beyond this first phase of this project. This will provide MCRI with on-going expertise in the field of Bayesian Networks and also knowledge of Phase 1 that may be leveraged for subsequent research.
Ross Pearson will be the coordination lead for the BN Research efforts with Ann Nicholson ultimately steering the project direction. A chapter in Ross’s thesis will be devoted to this project.
A separate Project Manager is proposed (2 hours a week) that ideally will be a MCRI team member. This resource will have the capacity to manage the budget and milestones as well as have domain expertise that can support the development of the problem and guide the team in this regard.
The BN Post Doc will be the main contributor to the BN Research and will be the custodian of the end Bayesian Network (Models).This resource will be employed by MCRI.
It is anticipated that there will be human subject experimentation where experts are elicited as part of the Knowledge Engineering Bayesian Network (KEBN) process. The specifics of this approach will depend on the quality of data, availability of experts, and the use cases and quotations that need to be answered.
The statistician will be of significant help in planning and conducting any quantitative assessments we may perform as part of the experimentation.
The causal research assistant we are proposing is particularly good at composing academic papers and will pursue the writing and publishing of the main project paper.
Further details of the proposed project plan can be found in the attachment titled "Project Proposal" are proposed PhD topic is also attached.
Short title | Vaccine Surveillance using BNs |
---|---|
Status | Active |
Effective start/end date | 31/03/22 → 29/09/25 |
Funding
- Murdoch Children's Research Institute: A$198,968.00