The Computational Science Program seeks to enable development of technologies in biomedical computing, informatics, and data science for Parkinson’s disease (PD) therapeutic development.
The specific goals of this initiative are to facilitate development of new analytical models or technologies to enable
- robust forecasting of pathological progression or phenoconversion for PD
- improved clinical outcome measures for use in therapeutic trials and/or
- understanding of disease mechanism. Proposed computational approaches should produce reliable outcomes that facilitate making of objective decisions to improve the ability to enrich subject populations in clinical trials and/or determine whether experimental treatments are modifying the course of the disease, its symptoms or its progression.
MJFF aims to support development of computational tools to facilitate production of novel biomedical measures relevant to defining PD. The following disciplines of computational methods are encouraged:
- Data processing functions to allow for enhanced analysis efficiency
- Multi-modal statistical and computational methods
Funding & Duration
1-year grants are available, for up to US $150,000 (approx AUD $197,000)
Eligibility
Applications may be submitted by: U.S. and non-U.S. biotechnology/pharmaceutical companies or other for-profit entities, either publicly or privately held; and U.S. and non-U.S. entities, public and private non-profit entities, such as universities, colleges, hospitals, laboratories, units of state and local governments, and eligible agencies of the federal government.
Post-doctoral fellows are eligible to apply as Principal Investigator (PI) to the Computational Tools for PD Therapeutic Development program and must collaborate with an Administrative PI who directs the laboratory in which the fellow will conduct research. The Administrative PI will be responsible for assisting in providing all institutional documents required for the project and will be required to sign any award contract.
Submission Requirements & Due Dates
- 31 May 2017 – Letter of Intent (LOI) submitted directly to Sponsor
- Please send a copy of your LOI to rbinternational@adelaide.edu.au
- 23 June – full applications (by invitation only) submitted for internal review.
- Submit an Application to Research Services for Review