With climate change disasters, as with infectious diseases, rapid response time and global coordination are of the essence. At this stage in the COVID-19 situation, there are three primary lessons for a climate-changing future: the immense challenge of global coordination during a crisis, the potential for authoritarian emergency responses, and the spiraling danger of compounding shocks.
Under the threat of coronavirus, many universities took early initiative to empty their campuses and transition to online classroom spaces. In the […]
While experts in epidemiology are leading the fight against the novel coronavirus, social science researchers can also help make sure contact tracing is carried out in all provinces in Indonesia.
And so the British Academy has begun mobilizing its community of social scientists and humanities scholars to support the United Kingdom’s government and its populace as they fight the COVID pandemic today and deal with its impacts tomorrow.
This post will explore some of the tools and platforms that can help with a key stage of the online research process: creating your survey or experiment. Specifically, we’ll be looking at options for running online experiments, with a slight focus on the more complex platforms – those designed to collect reaction time data (e.g., cognitive tasks), or to deliver complex experimental paradigms with a range of response types. We’ll examine the pros and cons of Qualtrics, Gorilla, Inquisit Web, as well as the good old DIY approach.
“Being led by the science” evokes a linear model of policy making which is more a myth than reality. In reality, politicians use claims about scientific knowledge in order to justify a course of action.
Models are not meant to predict the future perfectly – yet they’re still useful. Biomedical mathematician Lester Caudill, who is currently teaching a class focused on COVID-19 and modeling, explains the limitations of models and how to better understand them.
Today we welcome two scholars from Texas’s Baylor University whose research into how pathogens affect innovation has taken on new prominence in the wake of the current pandemic.
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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