”Here’s the message I want to give you today: We’re all very close to research. When we gather information to understand this world that we’re in, we are gathering both numbers and statistics, and the stories of people. The research methods I do put those two together.”
New York University’s Bruce Bueno de Mesquita uses game theory to model complex decision making – “by the way, that is the hard science,” he says – which in turn demonstrates how social science really can matter in real life.
The impact of John Nash’s initial work has been immense over the past 65 years. It seems certain that in his absence, the frameworks and mathematical language he refined and developed will continue to provide new insights into a diverse range of problems.
The scientific study of fairness in the workplace engages Purdue’s Deborah Rupp. Hear her explain her cutting-edge social science work, its applications to the real world, and why we should fund such work.
The eternal conflict between the abstract and the applicable haunts the halls of many business schools. One way to help close the gap between research and practice is to re-examine how ‘impact’ is measured in the field.
If you were to make up a fantasy football team for, say an intellectual Premier League, which thinks from Socrates forward might be among your picks?
The Dutch Senate last year passed a new Standard Evaluation Protocol that highlights the importance of social impact for research. Here, three academics from Erasmus University discuss some of the implications, using their own field of development studies as an example.
A roundtable sponsored by the U.S. National Research Council will examine applications of social and behavioral science.
An article in the journal Psychological Science, “The New Statistics: Why and How” by La Trobe University’s Geoff Cumming, has proved remarkably popular in the years since and is the third-most cited paper published in a Sage journal in 2013. The idea of an autonomous vehicle – i.e., a self-driving car – isn’t particularly new. Leonardo da Vinci had some ideas he […] Social sciences can also inform the design and creation of ethical frameworks and guidelines for AI development and for deployment into systems. Social scientists can contribute expertise: on data quality, equity, and reliability; on how bias manifests in AI algorithms and decision-making processes; on how AI technologies impact marginalized communities and exacerbate existing inequities; and on topics such as fairness, transparency, privacy, and accountability. If schools provide the proper support and resources, they will help educators move from anxiety to empowerment when integrating AI into the classroom. An article in the journal Psychological Science, “The New Statistics: Why and How” by La Trobe University’s Geoff Cumming, has proved remarkably popular in the years since and is the third-most cited paper published in a Sage journal in 2013. By carefully interrogating the system of economic incentives underlying innovations and how technologies are monetized in practice, we can generate a better understanding of the risks, both economic and technological, nurtured by a market’s structure.
EXPLORE
Impact
Paper Opening Science to the New Statistics Proves Its Import a Decade Later
READ MORE
A Milestone Dataset on the Road to Self-Driving Cars Proves Highly Popular
READ MORE
Why Social Science? Because It Can Help Contribute to AI That Benefits Society
READ MORE
Innovation
AI Upskilling Can and Should Empower Business School Faculty
READ MORE
Paper Opening Science to the New Statistics Proves Its Import a Decade Later
READ MORE
To Better Forecast AI, We Need to Learn Where Its Money Is Pointing
READ MORE
