Cutting NSF Is Like Liquidating Your Finest Investment
Look closely at your mobile phone or tablet. Touch-screen technology, speech recognition, digital sound recording and the internet were all developed using […]
Professor Shamit Saggar of the University of Essex discusses the back story of the South East Network for Social Sciences and how it intends to training doctoral students amid a background of rapidly evolving social science.
Is Trump’s presidency part of a larger movement toward a solipsistic world? asks Peter Neal Peregrine. And if so, which solipsist gets to say what is fact and what is not? And where does that leave science?
Starting this month Social Science Space will begin offering monthly updates on U.S. government actions that affect the social and behavioral sciences. In this first edition, we look at reauthorization of funding for the National Science Foundation, the effect of an Obamacare repeal on social science, and concerns for the American Community Survey and GIS data on housing.
On the occasion of the posting of the 50th Social Science Bites podcast, we’ve turned the tables and interviewed the interviewer, Dave Edmonds, about the series, empiricism, and even Jaffa cakes.
The incoming and the outgoing editors of Britain’s oldest sociology journal discuss what the future holds for the journal and what challenges face sociology in current times.
The late Stanford professor Kenneth Arrow was considered one of the most influential economists in history with monumental and lasting contributions to the field. His work included some explanation for why election results can turn out as they do, not always the way most voters would prefer.
It has been widely recognized that poverty is a key variable to explain why over 200 million young children from low- and middle-income countries do not develop at similar levels as their non-poor peers. Time and again, our research shows that being poor often is associated with many other health and social problems that make it hard to get out of poverty.
When looking at big data, says computational social scientist Gary King, “The data itself isn’t likely to be particularly useful; the question is whether you can make it useful.” In this Social Science Bites podcast, he explains more about the importance of data analysis.