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News
July 2, 2026
Researchers Discover How Spelling Errors Slow Down Reading in Russian
Psycholinguists from the Centre for Language and Brain at HSE University–St Petersburg have shown that words that are frequently misspelled are processed more slowly by readers, even when presented with the correct spelling. The researchers confirmed this effect for the first time using Russian-language materials and found that response speed is most strongly linked to how confidently individuals can distinguish the correct spelling of a word from an incorrect one. The study has been published in The Mental Lexicon.
July 2, 2026
HSE Develops App for Assessing Phonological Processing in Children
Researchers at the HSE Centre for Language and Brain have developed a new digital tool for assessing children's phonological processing skills—the ZARYA (Sound Analysis of the Russian Language) test battery. It is the first standardised application in Russia designed to provide a fast and reliable assessment of children's ability to distinguish speech sounds, retain them in working memory, and perform phonemic analysis. The app runs on Android tablets and smartphones and is available for download from RuStore. Details of the test validation have been published in the Journal of Speech, Language, and Hearing Research.
July 1, 2026
Scientists Discover Why Europium 'Misbehaves'
Europium is a rare-earth metal responsible for the pure red glow in displays and other luminescent materials. For a long time, however, it refused to emit light when surrounded by certain organic molecules known as acylpyrazolone ligands. Chemists have now uncovered the reason: in europium complexes with these ligands, a 'black window' appears—a charge-transfer state in which the energy absorbed by the ligand is dissipated as heat rather than emitted as light. Understanding this mechanism opens the way to designing more efficient red-emitting materials for displays, fluorescent thermometers, and chemical sensors. The results have been published in Dalton Transactions.

 

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Managing innovation in the era of AI

Technology in Society. 2023. Vol. 73. Article 102254.
Tekic Z., Füller J.

This paper conceptualizes how artificial intelligence (AI) may impact the way companies innovate and manage their innovation process. A research framework we use in investigation builds upon three pillars – data, new tech, and talent. Based on it, we map and discuss changes for organizations applying AI in innovation management. We conceptualize innovation management in the era of AI as a data-driven process in which AI significantly affects all dimensions of the innovation process and its management. Further, our framework suggests that the need for data, technology, and talents will lead to more open and collaborative innovation approaches, novel strategies for innovation protection, and the emergence of new roles in innovation teams. Using AI for innovation management also creates challenges like ethical data usage, navigation through diversity emerging from humans collaborating with artificial intelligence, and escaping from the incremental innovation trap. We summarize our main conclusions as research propositions and outline their practical implications.

Research target: Economics and Management
Language: English
DOI
Text on another site
Keywords: innovationinnovation managementdataAIAI-based innovation management
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