Tue, 16 May 2017
Ask a number of influential social scientists who in turn influenced them, and you’d likely get a blue-ribbon primer on the classics in social science.
Wright Mills’ The Sociological Imagination. Ernest Becker’s The Denial of Death. Irving Goffman’s The Presentation of Self in Everyday Life. Emile Durkheim’s Suicide. Michel Foucault’s The Archaeology of Knowledge.
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 collections. This last of the three appears here, with answers presented alphabetically from Toby Miller to Linda Woodhead.
“I remember as a graduate student reading classics in epidemiology and sociology and feeling like a kid in the candy store,” recalls David Stuckler, now a University of Oxford sociologist, before namedropping? Durkheim.
Several of the guests gently railed at the request to name just one influence. “There isn’t one,” starts Mirca Madianou, a communications expert at Goldsmiths, University of London. “There may have been different books at different times of my formation.”
Social psychologist Steve Reicher said he instead liked the idea of desert Island books, which give multiple bites of this particular apple, and then named several influences, including E.P. Thompson’s The Moral Economy of the English Crowd in the Eighteenth Century and Natalie Davis’s The Rites of Violence: Religious Riot in Sixteenth-Century France, which he describes as “beautiful and rich depictions of patterns of social behavior.”
“I’m unprepared to answer this!” exclaims behavioral economist and Nobel laureate Robert Shiller before he cites Hersh Shefrin and Richard Thaler’s work that pioneered the connection between neuroscience and eEconomics.
Sometimes, though, the answer comes instantly. “Not a day that I don’t think about him or talk about him to somebody,” said Lawrence Sherman of Austin Bradford Hill, an economist whose work evaluating the use of streptomycin in treating tuberculosis created the template for randomized controlled trials.
Mon, 1 May 2017
What is an “organization?” According to Chris Grey, the guest in this Social Science Bites podcast, in many ways it’s a moment in time. “An organization,” he tells interviewer David Edmonds, “is also a momentary crystallization of an ongoing process of organizing.”
Grey is a professor of organizational studies in the school of management at Royal Holloway University in London and a fellow of the Academy of Social Sciences. And while he’s been heavily involved in management studies – he’s actually part of the School of Management at Royal Holloway – he makes clear that the rubric of ‘an organization’ extends far beyond business alone. “A huge amount of life is organized,” Grey explains, “and is therefore under the ambit of organizational studies.” In fact, the field itself, which essentially emerged from work on bureaucracy by Max Weber, was usually located in an institution’s sociology or psychology departments until the advent of business schools in the 1960s exerted a magnetic draw on the discipline.
One of Grey’s best examples of not being solely a business study is detailed in his 2012 book — Decoding Organization: Bletchley Park, Codebreaking and Organization Studies — about the (now) famous British World War II codebreaking campus. As he describes in this podcast, Bletchley Park harnessed many of the current cultural trends and personality traits of its selected workforce so well that even spouses didn’t know of each other’s wartime exploits for decades after V-E Day.
Even if organizational studies is boiled down to issues of economic efficiency, he continues, “we have to open up the question of what does efficiency mean and for who?” He adds: “We needn’t give the answer, ‘efficient for the powerful’.” And while admitting that his “take” is far from universal among his colleagues, “Fundamentally the problems of organization are not soluble and they’re not amenable to the kind of prediction and control that is sometimes promised.”
While he has wide ranging research interests and a love of detective novels, Grey remains well-represented in the management field. He was editor-in-chief of Management Learning for six years. Grey co-edited the 2016 book Critical Management Studies: Global Voices, Local Accents and was co-author of another 2016 volume, Secrecy at Work: The Hidden Architecture of Organizational Life.
His most recent book for SAGE is the cleverly named A Very Short, Fairly Interesting and Reasonably Cheap Book About Studying Organizations.
Mon, 3 April 2017
How lightly, or how tightly, do you hold your values? Are there things you hold dear, which almost automatically excite your emotions, for which you would make the costliest of sacrifices?
These are the sorts of questions Scott Atran discusses in this Social Science Bites podcast. Atran is a “classically trained” anthropologist (he was once an assistant to Margaret Mead) and is the research director in anthropology at France’s National Center for Scientific Research, a research professor of public policy and psychology at the University of Michigan, and a founding fellow of the Centre for Resolution of Intractable Conflict at the University of Oxford’s Harris Manchester College. He is also director of research and co-founder of Artis Research & Risk Modeling, Artis International, and Artis LookingGlass.
As those associations suggests, much of his research sits at the intersection of violent acts and cognitive science, and much of his fieldwork takes place on the front lines of conflict. His findings are often acknowledged as true by policymakers – even as he ruefully tells interviewer David Edmonds, they generally then refuse to recognize the sincerity with which the other side holds its values.
And yet these spiritual values often trump physical ones. And from a policy perspective, say the attempting defeat ISIS in the Middle East, it helps to understand that a devoted actor will often outperform a rational actor when the going gets tough. This helps explain the initial successes of ISIS, and the ability of Kurdish forces to battle back against ISIS. Or even of the American colonies to defeat the British empire.
Atran explains that while there are no theories, at present, about sacred values, but there are features that he has been able to test for reliability.
For example, Atran suggests that something so valued is immune to trading, discounting or negotiating, and that offering to buy your way around someone’s sacred values can result in anger or violence.
He asked refugees in Lebanon and Jordan what was the chance they would go back to Israel if they had the right of return. Six percent – one out of 16 – said they would ‘consider it.’ But then they were asked if they would give up this sacred value, the implication being that if they weren’t going to exercise it why bother keeping it. Yet 80 percent answered no. Then the researchers asked if the respondents would support the 1967 boundaries of Israel, and accept a cash payment, in exchange for permanently ceding their right of return.
“Not only did they refuse,” Atran notes, “but it went to ceiling. We tested for support of suicide bombing, skin responses for emotion and moral outrage, it went through the roof.” But this allegiance to the intangible works two ways – Atran found that when a questioner acknowledged a refugee’s right of return, support for the peace process – even without any other sweetener – increased.
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.
Wed, 15 February 2017
Which piece of social science research has most inspired or most influenced you?
This question has been posed to every interview in the Social Science Bites podcast series, but never made part of the audio file made public. Now, as we approach the 50th Social Science Bite podcast to be published this March 1, journalist and interviewer David Edmonds has compiled those responses into three separate montages of those answers.
In this first of that set of montages, 15 renowned social scientists – starting in alphabetical order from all who have participated – reveal their pick. As you might expect, their answers don’t come lightly: “Whoah, that’s an interesting question!” was sociologist Michael Burawoy’s initial response before he named an éminence grise – Antonio Gramsci – of Marxist theory for his work on hegemony.
The answers range from other giants of social, behavioral and economic science, such as John Maynard Keynes and Hannah Arendt, to living legends like Robert Putnam and the duo of Richard Thaler and Cass Sunstein (and even one Social Science Bites alumnus, Stephen Pinker). Some of the answers involve an academic’s full oeuvre, while others zero in on a particular book or effort. John Brewer, for example, discusses his own background in a Welsh mining town and how when he went to college he encountered Ronald Frankenberg’s Communities in Britain: Social Life in Town and Country. “That book made sense of my upbringing and committed me to a lifetime’s career in sociology,” Brewer reveals.
And not every answer is a seminal moment. Danny Dorling, for example, names a report by his Ph.D. adviser, computational geographer Stan Openshaw, who took two unclassified government reports to show the futility of nuclear war. And not every answer is even an academic work. Recent Nobel laureate Angus Deaton reveals, “I tend to like the last thing I’ve ever read,” and so at the time of our interview (December 2013), named a journalist’s book: The Idealist by Nina Munk.
Other Bites interviewees in this podcast include Michelle Baddeley, Iris Bohnet, Michael Billig, Craig Calhoun, Ted Cantle, Janet Carsten, Greg Clark, Ivor Crewe, Valerie Curtis, Will Davis and Robin Dunbar.
Wed, 1 February 2017
Human beings are social animals, notes economist Michelle Baddeley, and as such the instinct to herd is hardwired into us. And so while this has changed from (in most cases) physically clumping into groups, it does translate into behavior linked to financial markets, news consumption, restaurant-picking and Brooklyn facial hair decisions.
In this latest Social Science Bites podcast, Baddeley – a professor in economics and finance of the built environment at University College London -- tells interviewer David Edmond how modern herding often follows from an information imbalance, real or perceived, in which a person follows the wisdom of crowds. The decision to join in, she explains, is often based an astute reading of risk; as she quotes John Maynard Keynes, “It’s better to be conventionally wrong than unconventionally right.” As a real world example of that, she points to the plight of the junior researcher, whose career is best advanced by serving up their innovative insights along conventional lines.
Apart from reputational damage control, there are pluses and minuses to human herding, Baddeley notes there are advantages to finding safety in numbers: “It’s a good way to find a hotel.” But there are pernicious outcomes, too, like groupthink. In that vein, the economist says she finds partisan herding “more prevalent in a ‘post truth age,’” as individuals join thought groups that reinforce their existing world-view. And it doesn’t help, her research finds, that people are more likely to herd the less well-informed they are.
This has also had dire consequences in financial markets (Baddeley was principal investigator on a Leverhulme Trust project focused on neuroeconomic examination of herding in finance), where pushing against the grain makes for a short career for anyone other than the luckiest professional stockpicker.
Baddeley’s early education was in Australia and her first professional work was as an economist with the Australian Commonwealth Treasury. She then completed masters and doctorate work at Cambridge. Her most recent book is 2013’s Behavioural Economics and Finance and other works include Running Regressions - A Practical Guide to Quantitative Research (2007) and Investment: Theories and Analysis (2003).
Tue, 3 January 2017
For Alex “Sandy” Pentland, one of the best-known and widely cited computational social scientists in the world, these are halcyon days for his field. One of the creators of the MIT Media Lab and currently the director of the MIT Connection Science and Human Dynamics labs, Pentland studies ‘social physics,’ which takes a data-centric view of culture and society.
In this Social Science Bites podcast, he tells interviewer Dave Edmonds about the origins of social physics in the barren days before the advent of widespread good data and solid statistical methods and how it blossomed as both a field and for Pentland’s own research. Now, with both plentiful data and very sophisticated statistics, “we can revisit this vision of understanding society, understanding culture, as an alive, evolving animal using these modern techniques.”
The key change, he explains, has been in the amount and the diversity of data -- even if that’s a scary thought from a privacy point of view, “But from a social science point of view it’s Nirvana. For the very first time you can look at complicated, real-time continuous interaction of many different groups carrying out real activities.”
Pentland’s own experimental trajectory reflects those advances, with his early work mediated as much by what was lacking (a good way to deal statistically with language) as what was at hand. This led him to study how much of an individual’s behavior was due to older, pre-language signaling and how much due to more modern linguistic structure. But with time and computational advances, his work ramped up to study how groups of people interact, even up to the scale of a city. That in turn created some fascinating and widely cited insights, such as the more diverse a city’s social ties the more successful, i.e. rich, e city will be.
Some of the methodology involved in doing computational social science is also explored in the podcast, as Pentland describes giving an entire community new mobile phones as one part of the data-gathering process (with privacy protecting institutional controls, he notes) even as “we pestered them with a million questionnaires of standard social science things” during the same study period.
Pentland is well-known in both the public and private spheres as a leading big data researcher, with Forbes recently dubbing him one of the "seven most powerful data scientists in the world." In addition to his work at MIT, he chairs the World Economic Forum’s Data Driven Development council and has co-founded more than a dozen data-centered companies such as the Data Transparency Lab, the Harvard-ODI-MIT DataPop Alliance and the Institute for Data Driven Design. Among his disparate honors are as a 2012 best-article award from the Harvard Business Review, winning the DARPA Network Challenge run as a celebration of the 40th anniversary of the internet, and being honored for his work on privacy by the group Patient Privacy Rights.
Thu, 1 December 2016
Between a series of high-profile shootings of black men by police and the election of Donald Trump by a bifurcated electorate, the racial divide in the United States has achieved a renewed public prominence. While discussion of this divide had faded since the election of Barack Obama, it’s an issue that has always been at the forefront of the scholarship of Harvard’s Jennifer Hochschild.
In this Social Science Bites podcast, Hochschild explains to interviewer David Edmonds some of the pertinent data points from her years of using quantitative and qualitative analysis to map the racial, ethnic and class cleavages in America’s demography.
The issues are devilishly difficult to address in, well, black-and-white terms, it turns out, as Hochschild repeatedly answers “yes and no” to various questions. Academics, she explains, tend to generalize too much about these issues, to focus too much on the role of the federal government to the detriment of state governments, and don’t pay enough attention to spatial variations: “Los Angeles doesn’t look like Dubuque, Iowa.”
She depicts a racial continuum of acceptance and opportunity, with whites and Asians at one extreme, blacks at the other, and other communities, such as Latinos and Muslims, populating the expanse in between. While the distance between the extremes seems to be as wide as it’s been for the last half century, she sees some hopes in the middle. She draws parallels for the modern Latino community with that of immigrants from Eastern and Southern Europe at the turn of the last century: they arrived as ‘lesser whites’ but at this point have full membership in the larger dominant community.
Hochschild talks specifically about the Muslim immigrant community in the U.S., with its wide range of homelands and ethnicities but a generally high level of education. She expects the community’s traditional low level of political activity to change dramatically in the near future. “My guess is that’s going to change over the next decade as they increasingly feel not only beleaguered but in real trouble. From my perspective, I hope there will be more alliances with other groups, but that remains to be seen”
Hochschild is the Henry LaBarre Jayne Professor of Government at Harvard University, where she focuses on African and African American studies. The author of several important books on race and politics, she was also the founding editor of Perspectives on Politics, published by the American Political Science Association, and was a former co-editor of the American Political Science Review. Earlier this year she completed her one-year term as president of the APSA.
Tue, 1 November 2016
Imagine if we could find the secret to romance and love, the real secret, one vetted by science. Wouldn’t that be … well, what would that be. According to Anna Machin, an anthropologist who actually does study romance, it would be disheartening.
“I don’t want to find the formula for love,” she tells interviewer Dave Edmonds in the latest Social Science Bites podcast. “I think that would be incredibly depressing.”
But Machin, a professor at the University of Oxford and part of an experimental psychology research group run by another Social Science Bites alumnus, Robin Dunbar, is nonetheless fascinated by how evolution has created this thing we call love, using the tools of neurochemistry and qualitative social science. Her research ranges from “our primate cousins” to popular dating sites. And before you insert your own joke here, know that these two examples have more in common than you might think.
Distinct primate-centric patterns quickly emerge in dating site profiles, Machin explains. For men, it’s displaying their value – their status, resources and good genes. For women, it’s their fertility, including youth, and good genes – regardless of their own wealth or status.
Not, she cautions, that we’re exactly like the rest of the menagerie. “The relationships we build, the reproductive relationships, our romantic relationships, are categorically different to those in other animals,” she says. “They persist for much longer, the cognition involved is much more complex,” and the neurochemistry doesn’t explain how we can stick together for such an incredibly long period of time.
Machin’s own academic background is varied, beginning with bachelor’s work in anthropology and English and leading to a PhD, in Archaeology, from the University of Reading (her thesis was on Acheulean handaxes). As an academic, she delights in explaining her work to the public, an avocation that has including working with the TV show Married at First Sight, where she’s used her own scholarship to help participants find life partners.