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.
“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 […] The creation of the Coalition for Advancing Research Assessment (CoARA) has led to a heated debate on the balance between peer review and evaluative metrics in research assessment regimes. Luciana Balboa, Elizabeth Gadd, Eva Mendez, Janne Pölönen, Karen Stroobants, Erzsebet Toth Cithra and the CoARA Steering Board address these arguments and state CoARA’s commitment to finding ways in which peer review and bibliometrics can be used together responsibly. “We are, as a species, addicted to story,” says English professor Jonathan Gottschall in his book, The Storytelling Animal. “Even when the […] The interactional skill of large language models enables them to carry out qualitative research interviews at speed and scale. Demonstrating the ability of these new techniques in a range of qualitative enquiries, Friedrich Geiecke and Xavier Jaravel, present a new open source platform to support this new form of qualitative research. Title of course: Space/Power/Species What prompted the idea for the course? A few years ago, I came across the architect Joyce Hwang’s […]
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