{"id":171118,"date":"2013-02-27T04:31:05","date_gmt":"2013-02-27T04:31:05","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/project\/distribution-modeller\/"},"modified":"2019-08-19T14:50:23","modified_gmt":"2019-08-19T21:50:23","slug":"distribution-modeller","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/distribution-modeller\/","title":{"rendered":"Distribution Modeller"},"content":{"rendered":"

Since its inception, the Computational Science group has undertaken research and development into new modelling platforms for computational science. The CEESDM project detailed here evolved from the Computational Science Studio project (mentioned in this article<\/a>) and then evolved into the Altai project. The Altai project then evolved into the Modelling Environment project, the 4th generation of modelling environment being developed by the group (coming soon…).<\/p>\n

Platform and Computational Experiment for Smith et al. (2015)<\/a> “Inferred support for disturbance-recovery hypothesis of North Atlantic phytoplankton blooms”.<\/h2>\n

Recently Matthew Smith, Vassily Lyutsarev, Derek Tittensor and Eugene Murphy published the first complete peer-reviewed piece of scientific research using Altai. That paper<\/a> includes a link to this page for people wanting to use the computational platform used to generate the results for that study and the complete computational experiment (the computational steps that led to the results)<\/p>\n