Computational Science

Intersecting computing science with the natural sciences

Whether it is the integration of computing and biology, novel computational tools and methods to predict and mitigate rapid changes occurring in the earth’s life-support systems, or the representations, analysis, and visualization of digitized geographic information, Microsoft Research is committed to providing computational support to unravel the mysteries of science.



Tom Crick, Benjamin A. Hall, Samin Ishtiaq, and Kenji Takeda, “Share and Enjoy”: Publishing Useful and Usable Scientific Models, in Recomputability 2014, December 2014

Camille Guilbaud, Neil Dalchau, Drew Purves, and Lindsay Turnbull, Is 'peak N' key to understanding the timing of flowering in annual plants?, in New Phytologist, New Phytologist Trust, 9 October 2014

Yiqi Luo, Trevor F. Keenan, and Matthew J. Smith, Predictability of the terrestrial carbon cycle, in Global Change Biology, Wiley, October 2014

Gian Marco Palamara, Dylan Z. Childs, Christopher F. Clements, Owen L. Petchey, Marco Plebani, and Matthew J. Smith, Inferring the temperature dependence of population parameters: the effects of experimental design and inference algorithm , in Ecology and Evolution, 1 October 2014

Attila Csikász-Nagy and Neil Dalchau, What makes a biological clock efficient?, no. MSR-TR-2014-134, 8 September 2014

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