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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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?

Horizontal Diversity

P. 94–125.
Antonowicz D., Cantwell B., Froumin I., Jones G., Marginson S., Pinheiro R.

This chapter explores horizontal diversity in higher education in the context of high participation systems (HPS), focusing on differences in institutional mission, form and type, and internal diversity within institutions. The chapter starts with an analysis of scholarly approaches to diversity. The dominance of the market diversity perspective (‘deregulate to create more choices’) indicates not its profound relevance to the diversity issue, but the tenacious hold of marketization narratives on the policy imagination. Competition in higher education is mostly associated with less, not more, diversity. The chapter discusses four propositions in relation to diversity in HPS, highlighting decline in the overall diversity of institutional form and mission despite growth in systems, the rise of large multi-purpose institutions as the dominant form, and increased internal institutional diversity. When HPS are rendered more competitive in government-fostered quasi-markets, horizontal distinctions of mission tend to become vertical.

Language: English
DOI
Text on another site
Keywords: marketizationstratificationinstitutional diversityhigher educationhigh participation systems of higher educationMultiversityhorizontal diversity

In book

High Participation Systems of Higher Education
High Participation Systems of Higher Education
Oxford: Oxford University Press, 2018.
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