Census 2020 is far from the first census to set off bitter political fights. One hundred years ago, results from Census 1920 initiated a decadelong struggle about how to allocate a state’s seats in Congress. The political arguments were so bitter that Congress eventually decided they would not use Census 1920 results.
The concept of the labor force describes a person’s employment status, and like all U.S. Census Bureau definitions, the terminology is quite specific. The labor force consists of all people 16 years of age or older who are working (employed), are not working but are actively seeking work (unemployed)…
Richard Layard remembers being a history student sitting in Oxford’s Bodleian Library on a misty morning, reading philosopher Jeremy Bentham (he of the famed “It is the greatest happiness of the greatest number that is the measure of right and wrong”). As he recounts to interviewer David Edmonds in this Social Science Bites podcast, he thought, “Oh yes, this is what it’s all about.”
David Canter comments on the propaganda value of the British Government proposal to use ‘lie detectors’ with convicted terrorists.
Statistics are not the final objective answer to things. They can be interpreted in lots of different ways, even when none of those ways is wrong per se. That opens up a space for public debate, which is good news, but it also opens up a space where statistics can either be lauded as the truth (when they are not), or dismissed out of hand as ‘biased’.
UK Research and Innovation, Britain’s main research funding body, is scrapping separate impact sections from all grant applications. Paul Benneworth and Julia Olmos Peñuela argue how impact statements can produce meaningful statements of the potential future impact of research and set out a framework for assessing these claims.
When most Americans think of the census, they think of the 10-year or decennial census that is used to gather basic data about the total population. The decennial census is an actual count of people and housing units, and it serves as the baseline for measuring and generating other census data-sets…
The importance of unlearning, or abandoning obsolete beliefs, values, knowledge, and routines, for the growth of both organizations and individuals, is generally well-known in management learning and human resource fields. But it often misses action on the level of the individual.
Drawing on discussions with academics who have oriented their work around public engagement and social impact, Daniel Pearson suggests these academics present an opportunity to rethink the existing structures of reward and recognition in higher education. “We are, as a species, addicted to story,” says English professor Jonathan Gottschall in his book, The Storytelling Animal. “Even when the […] Tom Burns, whose combination of play — and plays – with teaching in higher education added a light, collaborative and engaging model […] A 2024 report by the National Academies explores the latest advances in artificial intelligence (AI) technology and their potential effects on economic productivity, job stability, and income inequality. It also highlights key research opportunities and data needs to help workers and policymakers adapt to the evolving AI landscape. In this post, co-authors Frank T. Piller, Tucker J. Marion, and Mahdi Srour reflect on the inspiration behind their research article, “Generative […] During the final stages of editing the proofs for Artificial Intelligence and Work: Transforming Work, Organizations, and Society in an Age of Insecurity, […]
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Impact
Young Scholars Can’t Take the Field in Game of Academic Metrics
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Canada’s Storytellers Challenge Seeks Compelling Narratives About Student Research
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Tom Burns, 1959-2024: A Pioneer in Learning Development
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Innovation
NAS Report Examines Nexus of AI and Workplace
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When Do You Need to Trust a GenAI’s Input to Your Innovation Process?
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The Authors of ‘Artificial Intelligence and Work’ on Future Risk
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