Tech Companies Use Crowd-sourced Science for Socially Responsible Mission

Primary tabs

Tech Companies Use Crowd-sourced Science for Socially Responsible Mission

tweet me:
#Tech companies use social networking & crowd-sourced #science for socially responsible mission http://bit.ly/1enhXSu @Justmeans @3BLMedia

Multimedia from this Release

Tuesday, February 4, 2014 - 2:00pm

CAMPAIGN: CSR Blogs

CONTENT: Blog

Some new initiatives indicate that social networking and crowd-sourcing can be effective tools in the fight to preserve the planet’s species, with the help of science and technology.

For example, a consortium known as International Barcode of Life (iBOL) invites citizens around the world to gather samples to help universities, natural history museums and research institutes to create a database of species. With the samples, scientists can identify them by sequencing a section of its DNA, known as barcoding.

iBOL is hosting its database on HANA, technology company SAP’s enterprise platform that makes data available in a computer’s memory. The move to HANA will allow researchers and citizen scientists to analyze high volumes of data in the cloud more swiftly, merging their records and carrying out predictive analyses that reveal patterns between species and location. This way, they can get ideas as to how outside factors, such as invasive species and climate change, affect the environment.

Click here to continue reading and comment on Justmeans

 

Antonio Pasolini - Corporate Social Responsibility writer for Justmeans, Antonio Pasolini is a journalist based in Brazil who writes about alternative energy, green living and sustainability. He edits Energyrefuge.com, a top web destination for news and comment on renewable energy, and contributes articles on emerging technology to Gizmag. He is also a happy herbivore.

 

Keywords: Innovation & Technology | Hana | IBM | International Barcode of Life | Justmeans | SAP | Science | Technology | crowd source | social networking

CAMPAIGN: CSR Blogs

CONTENT: Blog

parse.ly