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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Миссия-ориентированные инновации в Японии: сравнительный анализ научно-исследовательских партнерств

Проблемы Дальнего Востока. 2026. № 3. С. 123–139.
Brambila F., Gribkova D. E.

Contemporary studies on Japanese science and technology (S&T) policy often focus on the limitations of various government initiatives in addressing the nation's developmental stagnation, overlooking distinctive institutional and policy features of its public-private sector symbiosis. This deprives policymakers of critical insights into demand-side governance mechanisms, including policy instruments and coordination frameworks. This research article provides a comparative analysis of Japan's large- and medium-scale R&D partnerships, examining their evolution, design, and outcomes within the broader context of the country's mission-oriented innovation strategy.
The study traces Japan's collaborative R&D framework through its "University, Industry, and Government" (U-I-G) strategy and its subsequent policy interventions. Three distinct phases of institutional development are identified: the establishment of knowledge transfer mechanisms (1996–2000), the standardization of intellectual property management (2001–2005), and the creation of innovation hubs and research administration offices (2006–2011). The effectiveness of these initiatives is evidenced by a 100.5 % growth in industry-academia research projects and a 577.8 % increase in licensing revenues from 2010 to 2021.
A comparison of large-scale programs reveals a shift from rigid, competition-driven models to flexible, outcome-based approaches aligned with long-term national goals. While ImPACT's prescriptive demonstrator model achieved only 25 % commercialization, Moonshot's phased structure has shown 38 % of projects demonstrating potential for extended research. Similarly, medium-scale initiatives like A-STEP (2007) and NexTEP (2015) highlight the benefits of extended
timelines, co-development partnerships and equity-based commercialization.
These findings underscore Japan's adaptive policy evolution, balancing structured objectives with research autonomy and stakeholder incentives with actionable insights for policymakers navigating the complexities of mission-oriented innovation.

Research target: Political Science, International Relations, and Public Administration Economics and Management
Language: Russian
DOI
Text on another site
Keywords: Япониянаучно-техническая политикаJapanисследования и разработкиscience and technology policyresearch and developmentmission-oriented policyacademia-industry-government collaborationR&D programscommercialization of researchuniversity patentsполитика, ориентированная на достижение целейвзаимодействие науки, промышленности и государстванаучно-исследовательские программыкоммерциализация исследованийуниверситетские патенты
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