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News
August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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Meaningful analysis of innovation, business and entrepreneurial ecosystem concepts

Russian Management Journal. 2020. Vol. 18. No. 1. P. 73–102.
Burda Y., Volkova I., Gavrikova E.

Over the last decade academic literature faced a boom of publications devoted to the notion of ecosystem, which resulted in the emergence of various research streams and corresponding fragmentation of the research domain. Existing variety of meanings and contradictory definitions necessitates conducting a thorough literature review on three tightly coupled concepts of innovation ecosystem, business ecosystem and entrepreneurial ecosystem. This study is based upon a mixed technique, which combines bibliometric analysis and in-depth investigation of papers devoted to these research streams. Trough examining their theoretical background, constructing conceptual structures and in-depth analysis we were able to define the essence of innovation, business and entrepreneurial ecosystems as well as their distinctive features. Then we proceed with the comparative analysis of these concepts, which allowed us to outline existing similarities and to demarcate them from an ontological perspective. This study provides certain clarification for the existing conceptual mix in the field of ecosystem research and can be used as a foundation for a further investigation of the concept.

Priority areas: management
Language: English
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Keywords: value creationecosysteminnovation ecosystembibliometric analysisentrepreneurial ecosystemcoopetitionbusiness ecosystem
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