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.



Paul I. Palmer and Matthew J. Smith, Model human adaptation to climate change, in Nature, Choose..., 28 August 2014

Cory Merow, Matthew J. Smith, Thomas C. Edwards, Antoine Guisan, Sean McMahon, Signe Normand, Wilfried Thuiller, Rafael O. Wuest, Niklaus E. Zimmerman, and Jane Elith, What do we gain from simplicity versus complexity in species distribution models? , in Ecography, Wiley, August 2014

Jonas Geldman, Lucas N Joppa, and Neil Burgess, Mapping Change in Pressure Globally on Land and within Protected Areas, in Conservaton Biology, Choose..., July 2014

Nicola Paoletti, Boyan Yordanov, Youssef Hamadi, Christoph M. Wintersteiger, and Hillel Kugler, Analyzing and Synthesizing Genomic Logic Functions, in CAV'14, Springer, July 2014

Sean Sloan, Clinton N Jenkins, Lucas N Joppa, David LA Gaveau, and William F Laurance, Remaining natural vegetation in the global biodiversity hotspots, in Biological Conservation, vol. 177, pp. 12–24, Elsevier, July 2014

More publications...