Science Friday has an interview up with D.J. Patel, the newly-minted chief data scientist for the White House’s Office of Science and Technology Policy. Patel, who was previously the data and analytics lead at LinkedIn, discusses making data more accessible to the public and using analytics to improve services across government.
CERN, the European Organization for Nuclear Research, just released 300 terabytes of data from the Large Hadron Collider, the world’s biggest and most powerful particle accelerator. CERN is making this data publicly available for anyone to view, and though most of it is in the same raw format that CERN’s own scientists would see, some of it has been processed to be used by high school students to give them a sense of how real scientific data can be used.
Can love be analytically manipulated in your favor? Chris McKinley thinks so. The graduate student used a supercomputer to analyze OKCupid’s question data, becoming the top match for 30,000 women across the site. Many messages and 88 dates later, he finally found his true perfect match.
And for all you Game of Thrones fans rejoicing that the new season started Sunday night, a computer science class at Technical University in Munich has used analytics to predict which character will be the next to die in the famously death heavy series. The project (called A Song of Ice and Data after the book series’ title, A Song of Ice and Fire), predicts the chance of death for many Game of Thrones characters using 24 factors, such as age and lineage.