Scott Detrow

Scott Detrow is a congressional correspondent for NPR. He also co-hosts the NPR Politics Podcast.

Detrow joined NPR in 2015 to cover the presidential election. He focused on the Republican side of the 2016 race, spending time on the campaign trail with Donald Trump, and also reported on the election's technology and data angles.

Detrow worked as a statehouse reporter for member stations WITF in Harrisburg, Pennsylvania, and KQED in San Francisco, California. He has also covered energy policy for NPR's StateImpact project, where his reports on Pennsylvania's hydraulic fracturing boom won a DuPont-Columbia and national Edward R. Murrow Award in 2013.

Detrow got his start in public radio at Fordham University's WFUV. He graduated from Fordham, despite spending most of his time in the newsroom, and also has a master's degree at the University of Pennsylvania's Fels Institute of Government.

It's easy to get cynical about the presidential campaign, especially so close to the first round of voting, when many candidates are on the attack.

But see it up close and personal, and the process can feel a bit more charming. That's what a class from Indiana's Manchester University found as it traveled across Iowa last week, taking in the caucuses.

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RACHEL MARTIN, HOST:

The race between a former U.S. Secretary of State Hillary Clinton and Vermont Senator Bernie Sanders is getting tighter.

Until this week, presidential candidates have mostly stayed away from discussing the National Security Agency's surveillance programs. That's quickly changing.

The Paris attacks have reframed the debate between electronic privacy and national security, and also brought that debate into the Republican primary.

It was probably only a matter of time before we got the live-streamed campaign.

With Periscope, Vine and Snapchat, candidates have seized on new apps this cycle to produce behind-the-scenes, unfiltered moments and deliver them to voters.

On Tuesday, Kentucky Sen. Rand Paul took the trend to its inevitable conclusion and broadcast the bulk of his day on the Iowa campaign trail on the Internet.

It sounds like a politician's dream: a machine that can tell you exactly what to say to change a voter's mind.

Well, that's what a political scientist has come up with — at least, a first tentative step in that direction.

Using text from a pro-Obamacare website and testing different combinations of sentences on volunteers, an algorithm created by Northeastern University assistant professor Nick Beauchamp was able to identify optimally persuasive terms that make people more inclined to support the landmark health care law.

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