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October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.

 

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Evaluating Delphi survey accuracy in transportation: Evidence from Japanese technology foresight

Technological Forecasting and Social Change. 2026. Vol. 224. Article 124496.
Niyazov S., Maibakh O., Alexei Sukharev, Kulakova T., Ufimtsev A.

This research evaluates the accuracy of Delphi surveys in technology foresight with a focus on the transportation sector by determining the realization status of topics forecasted in the three Science and Technology Forecast Surveys administered by Japan's National Institute of Science and Technology Policy (NISTEP) in 1992, 1997, and 2001. The analysis included 167 topics, representing 647 observations when different Delphi rounds, survey iterations, and respondent pools are taken into account. Through expert verification, an overall forecasting accuracy rate of 25 % was found.

The results highlight a “forecastability pit”: topics in early and late technological stages demonstrate higher accuracy compared to middle stages, when technologies first enter practical use or are improved. Accuracy was lowest for “aviation” (11 %), “railway” (19 %), and “road” (25 %) sectors and highest for “marine” (31 %) and “other new transportation sectors” (36 %). Greater accuracy was not found to be correlated with higher levels of self-rated expertise, second-round Delphi forecasts, a topic's perceived importance and anticipated magnitude of effects.

The low accuracy rate may stem from the regulatory and technological complexities inherent to the sector. Overall, the study underscores the need for methodological refinements and a reassessment of the role of expert judgment processes in S&T Delphi.

Research target: Economics and Management Sociology (including Demography and Anthropology
Language: English
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Text on another site
Keywords: ForesightDelphiДельфиTransportationForecasting accuracyExpert methodsNISTEPФорсайтТочность прогнозированияЭкспертные методыТранспортNISTEP
Publication based on the results of:
Trends and factors of sustainable science and technology development (2025)
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