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October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
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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.

 

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Моделирование влияния иностранных инвестиций на продовольственную безопасность на основе моделей панельной коинтеграции

Бизнес-информатика. 2017. № 3(41). С. 20–29.
Kopnova E., Rodionova L.

The paper studies the problems of food security as the basis for the stability of the country’s economic development. Despite the economic growth of most countries in the world, the problems of hunger continue to be acute in developing countries. This undermines the food security of these countries and can pose a threat to world peace as a whole. Numerous studies show that foreign investment plays an important role in the creation of food security, but this effect is ambiguous. The most common methods of analysis in recent researchеs are descriptive analysis and panel data models. In this article, our approach to analyzing the impact of foreign investment is based on panel cointegration models; the interpretation of the results uses the impulse response function based on an error correction model. Countries of North Africa are considered as an example of the implementation of this approach. Data from the World Bank and the Food and Agriculture Organization for 1991–2014 for seven countries (Algeria, Egypt, Libya, Morocco, Sudan, Tunisia, Western Sahara) were selected for analysis. In this paper, we have also tested the methodology for selecting the food security indicator based on analysis of the matrix of cointegration relations. The results show that foreign investment has a significant long-term impact on food security, but in the short term no effect was detected. The proposed modeling methodology can be extended to any region of the world to monitor and evaluate the effectiveness of the current economic policy to combat hunger and poverty.

Research target: Mathematics Economics and Management
Priority areas: economics business informatics
Language: Russian
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Keywords: продовольственная безопасностьиностранные инвестицииforeign investmentsfood securityпанельная коинтеграциямоделирование экономических системpanel cointegration modelmodeling of economic systemsпанельные тесты Педронипанельные тесты единичного корня
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