Three concurrent sessions will be held at the symposium. These sessions will seek to identify unmet technology needs and set direction for research in the computational and quantitative biomedical sciences. Leading innovators will share their experiences in tackling the most daunting challenges at the interface between computer science and biology, addressing issues such as:
- Scientific Data Integration. The goal of this session is to address current challenges (e.g., ontology, data format) that are associated with the integration and use of massive and complex data sets from diverse distributed sources and different levels of biological systems.
- Networked Science: This session will focus on areas where emerging grid
methods and technologies can add value to biomedical research. Relevant
areas to be addressed include (1) cyberinfrastructure including centers of excellence in biomedical research and large-scale laboratories; (2) grid-enabled distributed data and processes in biomedical computing, emphasizing
collaborative projects; and (3) grand challenge applications in biomedical computing.
- Quantitative Biology. Modeling of biological systems across scales is one of the great challenges facing biomedical computing. This session will focus on multiscale modeling, from genes to organisms, and identify the needs and opportunities for integrating experiments and modeling to produce a useful approach for accelerating biomedical research.
The concurrent sessions will also include facilitated discussion, where participants share insights and seek answers to the following questions:
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Where are we today in bringing computational and quantitative approaches into biomedical research?
Where do we need to be to fill gaps and address the most pressing biomedical research challenges of the future?
How are we going to get there, and what actions can be taken by the various stakeholders to bring us to our desired future state?
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These sessions will yield insights that will inform the National Institutes of Health leadership in addressing the computational and quantitative needs of the biomedical research community.
To facilitate session planning, you may wish to offer input regarding any of these discussion areas before the symposium. If so, please send an e-mail to bistic@nih.gov with the name of the concurrent session in the subject line. Please keep your message to less than 600 words and specify the topic(s) for which you are providing input.
