{"id":187994,"date":"2012-05-24T00:00:00","date_gmt":"2012-07-05T17:52:26","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/laccir-projects\/"},"modified":"2016-09-26T08:43:28","modified_gmt":"2016-09-26T15:43:28","slug":"laccir-projects","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/laccir-projects\/","title":{"rendered":"LACCIR Projects"},"content":{"rendered":"<div class=\"asset-content\">\n<p><b>LiveANDES: A Software Platform to Share and Analyze Information for Wildlife Conservation<\/b><br \/>\nLiveANDES (Advanced Network for Distribution of Endangered Species) provides a software platform where users can upload, visualize, and share wildlife data, helping to create a global conservation community in the Americas. Currently, LiveANDES covers all terrestrial vertebrates of Chile, displaying a database searchable by ecological, administrative, and protected areas. It empowers citizen scientists, enabling them to share data that helps map the presence and distribution of endangered species-information that is vital to assessing their conservation status.<\/p>\n<p>In this talk, we cover the technological underpinnings of LiveANDES, including its web solution based on Microsoft .NET technologies and its mobile implementations for Windows Phone and Android devices. We also cover our plans to migrate the platform to the cloud by using Windows Azure, thereby creating a mobile, cloud-shared space for wildlife conservation, and our goal of adding Bolivian and North American libraries and regions for data-sharing and mapping.<\/p>\n<p><b>Using Sensor Networks to Classify Frogs Based on Their Calls<\/b><br \/>\nAnurans (frogs and toads) are commonly used by biologists as bioindicators of the early stages of ecological stress. Unfortunately, most current monitoring methods are intrusive and error prone. By using sensor networks, we can automatically classify anuran calls and determine the species in a target site, thereby acquiring relevant and accurate data about the environment in a less intrusive way. Our research aims at using signal processing and machine-learning techniques to classify anuran calls as a tool to continuously monitor the environment, allowing us to find correlations between destabilizing events, such as fire, flooding, and deforestation, and the anuran population in a given observation site.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>LiveANDES: A Software Platform to Share and Analyze Information for Wildlife Conservation LiveANDES (Advanced Network for Distribution of Endangered Species) provides a software platform where users can upload, visualize, and share wildlife data, helping to create a global conservation community in the Americas. Currently, LiveANDES covers all terrestrial vertebrates of Chile, displaying a database searchable [&hellip;]<\/p>\n","protected":false},"featured_media":196962,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[],"msr-video-type":[],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-187994","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/RpYmpKSdEDw","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/187994"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":0,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/187994\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/196962"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=187994"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=187994"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=187994"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=187994"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=187994"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=187994"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}