At the end of last week, NPR’s On The Media show spoke to Texas Tribune reporter Matt Stiles and Duke University computational journalism professor Sarah Cohen about how to find good stories in a “sea of government data”.

Listen to the full interview below:

Journalism.co.uk will be looking at open government data and the skills needed to find stories in datasets at its upcoming news:rewired conference. See the full agenda at this link.

• #Tip of the day from Journalism.co.uk – using spreadsheets for data stories
• Journal Local: Chance for hyperlocals to win £5000
• Data Miner: Liberating Cabinet Office spending data
• Ten things every journalist should know about data
• #Tip of the day from Journalism.co.uk – open data in local journalism

The digital revolution could help halt the decline in investigative journalism, thanks to a “new academic and professional discipline” known as ‘computational journalism’, writes John Mecklin in Miller-McCune.

“On a disaggregated Web, it seems, people and advertisers simply will not pay anything like the whole freight for investigative reporting. But [James] Hamilton [director of the DeWitt Wallace Center for Media and Democracy at Duke University] thinks advances in computing can alter the economic equation, supplementing and, in some cases, even substituting for the slow, expensive and eccentric humans required to produce in-depth journalism as we’ve known it.”

• PDA: ‘Algorithms will replace journalists’
• Audio: Paul Foot Award winner Ian Cobain on investigative journalism
• NewsTilt: What went wrong
• Independent.co.uk: Why the award-winning Salford Star went online-only
• #Followjourn @newsmary /journalist