Wed, 15 March 2017
The Communist Manifesto. Novelist Don DeLillo’s account of a big moment in baseball. Works by Wittgenstein and Focault. And a famous –and shocking – behavioral experiment. These are a few of the supremely inspiring works which have influenced some of the leading social scientists at work today.
During the recording of every Social Science Bites podcast, the guest has been asked the following: Which piece of social science research has most inspired or most influenced you? And now, in honor of the 50th Bites podcast to air, journalist and interviewer David Edmonds has compiled those responses into three separate montages of those answers. The second appears here, with answers – presented alphabetically – from Bites’ guests ranging from Sarah Franklin to Angela MacRobbie.
Their answers are similarly diverse. Sociologist Franklin, for example, who studies reproductive technology, namechecked two greats – Marilyn Strethern and Donna Haraway -- who directly laid the foundation for Franklin’s own work. “I would hope,” she reflected, “that I could continue toward those ways of thinking about those issues now and in the future.”
David Goldblatt meanwhile, who studies the sociology of football, picked influencers whose contributions are apparent in his work but less academically straightforward. He chose The Communist Manifesto (“the idea that history was structured and organized has never left me”) and the first 60 pages of American novelist Don DeLillo’s Underworld, which describes ‘the Shot Heard Round the World,” a famous home run from baseball’s 1951 World Series. Goldblatt terms it the “greatest piece of sports writing ever.”
Other guests in this 15-munte podcast recall important studies that set the scene for their own work, or important figures that left them wanting to emulate their scholarship. And not everyone cited academics in their own fields. Witness Peter Lunt citing Ludwig Wittgenstein and MacRobbie Michel Focault, while Jennifer Hochschild named an historian, Edmund Sears Morgan. She called his American Slavery, American Freedom “a wonderful book, everyone should read it – including the footnotes.” The book’s thesis, that “you had to invent slavery in order to be able to invent liberalism,” sticks with her to this day.
Other Bites interviewees in this podcast include Jonathan Haidt, Sarah Harper, Rom Harre, Bruce Hood, Daniel Kahneman, Sonia Livingstone, Anna Machin and Trevor Marchand. To hear the first montage, click HERE.
Social Science Bites is made in association with SAGE Publishing. For a complete listing of past Social Science Bites podcasts, click HERE. You can follow Bites on Twitter @socialscibites and David Edmonds @DavidEdmonds100
Wed, 1 March 2017
It’s said that in the last two years, more data has been created than all the data that ever was created before that time. And that in two years hence, we’ll be able to say the same thing. Gary King, the head of the Institute for Quantitative Social Science at Harvard University, isn’t certain those statements are exactly true, but certain they are true in essence. And he’s even more certain that the growth in the amount of data isn’t why big data is changing the world.
As he tells interviewer Dave Edmonds in this Social Science Bites podcast, roughly 650 million social media messages will go out today. So to someone trying to make statements about what those messages contain, he posited, would having 750 million messages make anything better? “Having bigger data,” King says, “only makes things more difficult.”
Or to be blunter, “The data itself isn’t likely to be particularly useful; the question is whether you can make it useful.” Which leads to King’s real passion: the analysis of big data. It’s not the ‘big’ or the ‘data’ that really turns the screw; it’s the analysis.
In this conversation, King, uses text analysis as an example of this big data analysis. He notes that some of the tools that text analysis uses are “mathematically similar” to another project he worked on, trying to determine health priorities in the third world by figuring out what’s killing people there. In both cases, the individual, whether someone with a disease or someone with a viral tweet, is less important than the trend.
That, explains King, spotlights the difference between computer scientists’ goals and social scientists’ goals: “We only care about what everybody’s saying.” He then talks about work examining social media and censorship in China. While the work clearly falls into an area that King, a political scientist, would be interested in, the genesis was actually as a test case for the limitations of the text analysis program. But it nonetheless gave useful insight into both how the Chinse government censors material, and why.
King is the Albert J. Weatherhead III University Professor at Harvard. He’s been elected a fellow or eight honorary societies, including the National Academy of Science, the American Association for the Advancement of Science, and the American Academy of Political and Social Science. King also has an entrepreneurial bent – he mentions the company Crimson Hexagon that was spun out of the text analysis work during this interview – and has founded or invented technology for companies like Learning Catalytics and Perusall.
And here’s some, if not ‘big’ data, at least ‘bigger’ data, to consider: This interview marks the 50th Social Science Bites podcast produced by SAGE Publishing. For a complete listing of past Social Science Bites podcasts, click HERE. You can follow Bites on Twitter @socialscibites and David Edmonds @DavidEdmonds100.