The new NIH Data Science blog needs your help to start a conversation about Computational and Quantitative Collaborative Projects.

Excerpt from their blog:

Many biomedical challenges require collaborations between biomedical scientists and computational/quantitative scientists. Some of these collaborations are already well established, others are in the early stages of forming, and many more will be forming in the near future. The NIH supports established collaborations through research project grants, including multi-PI R01’s and large Center grants. Soon, the NIH will support travel to establish new collaborations through the Training Coordination Center.

 

Collaborative projects that include computational/quantitative science are as varied as biomedical science itself: from population health and behavioral science to simulations of molecular processes. The projects cluster into thematic areas, whether by biomedical themes or data science themes. Data science themes cut across the biomedical sciences and are applicable to a variety of projects. One such data science theme is network modeling.

NIH is looking for your ideas on data science thematic areas.  Please read their full blog and contribute your examples.