For centuries, being a scientist has meant learning to live with limited data. People only share so much on a survey form. But, at least in the area of text analysis (AKA content analysis, or natural language processing), the old limits are crumbling
In the latest of its monthly series of interdisciplinary microsites addressing important public issues, SAGE Publishing is offering free access to a suite academic articles that focus on research about big data through November 15.
How do firms transform big data and why do firms differ in their abilities to create value from big data? in a research article that tries to find answers to these questions. Jing Zeng and Keith Glaister find “it is not the data itself, or individual data scientists, that generate value creation opportunities. Rather, value creation occurs through the process of data management.”
Current debates in higher education policy have drawn attention to the significant impacts of marketization, metrics, and performance management on the sector. Ben Williamson argues that a restructuring of the data infrastructure is shaping these HE trends.
Making data available for other researchers to find, use, reuse, ultimately makes research more efficient and effective. Yet despite policies that encourage and require data sharing, researchers in the UK and US report lower percentages of data sharing than average. Grace Baynes suggests researchers be given incentives, expert support, and training to make it easy to share data.
The recent revelation that Cambridge Analytica was able to acquire the Facebook data led to a surge of interest and questions around what companies do with people’s data. Amidst all of this, little attention has been paid to the feelings of those whose data are used, shared, and acted upon.
The underlying conceit of economist and data scientist Seth Stephens-Davidowitz’s work, whether in his new book, on the op-ed pages of the New York Times or in the classroom, or on campus, is that people’s search activity on a search engine reveals much more about them than do surveys, polls, or other social media
In a keynote address delivered to the London Info International conference, Ziyad Marar, president of global publishing for SAGE Publishing, outlines the intersection between big data and social science research. He notes that social and behavioral researchers have seen some opportunities as beyond their grasp, and that SAGE is working to bridge that gap.
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, […]
EXPLORE
Impact
Young Scholars Can’t Take the Field in Game of Academic Metrics
READ MORE
Canada’s Storytellers Challenge Seeks Compelling Narratives About Student Research
READ MORE
Tom Burns, 1959-2024: A Pioneer in Learning Development
READ MORE
Innovation
NAS Report Examines Nexus of AI and Workplace
READ MORE
When Do You Need to Trust a GenAI’s Input to Your Innovation Process?
READ MORE
The Authors of ‘Artificial Intelligence and Work’ on Future Risk
READ MORE
