{"id":9631,"date":"2021-04-26T09:33:11","date_gmt":"2021-04-26T09:33:11","guid":{"rendered":"https:\/\/www.hamburg-innovation-port.com\/en\/?p=9631"},"modified":"2021-08-23T10:30:00","modified_gmt":"2021-08-23T10:30:00","slug":"mit-big-data-gegen-corona","status":"publish","type":"post","link":"https:\/\/www.hamburg-innovation-port.com\/en\/mit-big-data-gegen-corona\/","title":{"rendered":"Using Big Data against Corona"},"content":{"rendered":"

[vc_row][vc_column][vc_column_text]Professor Matthias Mnich is an algorithm researcher at the Hamburg University of Technology (TUHH) and based in the HAMBURG INNOVATION PORT with his Institute for Algorithms and Complexity<\/a>. He and his team work on the analysis of large amounts of data for problems in engineering and economics. Applications lie, for example, in production planning, project management and chip design.<\/p>\n

Recently, the researchers addressed the question of how to better contain the spread of the Corona pandemic. They developed a new method to identify so-called “superspreaders” by analyzing mobility data and thus interrupt infection chains.<\/p>\n

You can read more about Matthias Mnich’s work in an article<\/a> in the current issue of the TUHH magazine Spektrum<\/em> (in German).[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

Algorithm researcher Prof. Matthias Mnich and his team have developed a new method of data analysis that could help contain the Corona pandemic.<\/p>\n","protected":false},"author":6,"featured_media":9734,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-9631","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t