5328 research outputs found
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Trees and Tweets: Mining Billions to Understand Human Migration and Regional Linguistic Variation
No full textThis project focused on analysing regional lexical variation and change in Modern American and British English through the analysis of multi-billion word corpora of geocoded Twitter data collected between 2013 and 2015. Because these are the largest regional corpora ever compiled, their analysis has led to several significant findings. Most notably, by taking advantage of the massive amounts of data available, they have studied the emergence of new words in more detail than has ever been possible before. In particular, they have developed and applied methods for identifying and mapping new word forms and common sources of lexical innovation in large time-stamped and geo-coded corpora. More generally, their research has shown that the relative frequency of almost all words show clear regional patterns when mapped. This is a surprising result to most people, including linguists, and it challenges standard assumptions about the nature of language variation and change
Investigating OA monograph services: Final report
No full textA project to explore potential future services to support open-access (OA) monograph
publishing, funded by Jisc Collections and conducted by Jisc Collections and OAPEN
Foundation, with representation from UK universities, independent publishers, and
others
Student Digital Experience Tracker Case Study: University of Westminster
No full textStudent Digital Experience Tracker Case Study: University of Westminster. A case study describing the pilot of the Jisc Student Digital Experience Tracker at the University of Westminster
Community interest company case study
No full textCase study on developing a digital strategy to support
community inclusion and employabilit
Derby Adult Learning Service case study
No full textCase study on how peer support tutor service leads to embedded use of technology in curriculum activitie
MIning Relationships Among variables in large datasets from CompLEx systems (MIRACLE)
No full textSocial scientists have used agent-based models (ABMs) to explore the interaction and feedbacks among social agents and their environments. Agent-based models are dynamic computer simulations of human societies and behaviours in which individuals and their interactions are explicitly represented. This bottom-up structure of ABMs enables simulation and investigation of complex systems and their emergent behaviour with a high level of detail. This detail means that such models have a very large number of variables, creating highly multidimensional “big data” that are difficult to analyse using traditional statistical methods, in part because many of the relationships among the variables are nonlinear
