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October 1, 2026
HSE Researchers Show How Congenital Motor Disorders Affect Brain Development
Researchers from HSE University’s Institute for Cognitive Neuroscience have synthesised the findings of their previous studies on brain development in children with obstetric brachial plexus palsy and arthrogryposis. Their analysis shows that impaired motor function in early childhood not only limits children’s motor experience but also affects memory, categorical thinking, and information processing. The study has been published in Frontiers in Psychology.
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The International Laboratory for Supercomputer Atomistic Modelling and Multi-Scale Analysis at HSE University held a major conference on molecular dynamics. Participants had the opportunity to attend all the presentations, while speakers were given as much time as they needed to answer questions. The HSE News Service interviewed Grigory Smirnov, Head of the Laboratory, and Genri Norman, Chief Research Fellow, about the conference preparations and the discussions it generated.

 

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Conceptualizing data-driven entrepreneurship: from knowledge creation to entrepreneurial opportunities and innovation

The Journal of Technology Transfer. 2026. Vol. 51. P. 1341–1392.
Grimaldi M., Troisi O., Papa A., De Nuccio E.

Digital transformation and the possibility to collect large amount of data, the so-called big data, from different sources can lead to the redefinition of business processes, models and infrastructures. In this respect, data-driven decision making (DDDM) emphasizes the need to rethink management practices to view data as a driving force that can improve the effectiveness of decisions and nurture innovation. Over time, data-driven principles have been reframed as the foundations for the development of a new mind-set that considers data as a key asset that redesigns entrepreneurship and encompasses orientation, culture and human resources management to help entrepreneurs catch, evaluate and launch entrepreneurial opportunities that can improve technology and knowledge by stimulating innovation. For this reason, the study aims at reconceptualizing entrepreneurship according to a multi-levelled perspective based on the integration of cultural, human, knowledge-based and technological dimension to assess the impact of data-driven management on entrepreneurial opportunities creation and on the development of different kinds of innovation. To assess these goals, empirical research based on constructivist grounded theory and on the administration of semi-structured interviews is performed through the investigation of an Italian public–private Consortium specialized in big data. The findings allow the elaboration of a conceptual framework which classifies the activities of data-driven entrepreneurial processes, the phases of opportunity creation and the different kinds of innovation enabled in the Consortium by guiding entrepreneurs and managers in the elaboration of effective data analysis strategies.

Research target: Economics and Management
Language: English
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Keywords: innovationknowledge creationentrepreneurial opportunitiesdata-driven managementData-driven entrepreneurshipKnowledge management processes (KMPs)
Publication based on the results of:
National innovation system 2.0: involving key actors in transformation processes (2025)
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