HSE Scientists Reveal What Drives Public Trust in Science

Researchers at HSE ISSEK have analysed the level of trust in scientific knowledge in Russian society and the factors shaping attitudes and perceptions. It was found that trust in science depends more on everyday experience, social expectations, and the perceived promises of science than on objective knowledge. The article has been published in Universe of Russia.
The advancement of science and technology is a key driver of socio-economic progress. Trust in science is essential for the dissemination of knowledge, the acceptance of scientific findings, and support for research. International surveys, including the Wellcome Global Monitor and studies by the Pew Research Center, indicate that trust in science remains relatively high worldwide. However, in times of rapid social and political change—for instance, during a pandemic—new challenges emerge, and levels of trust in science may decline.
Researchers at the HSE Institute for Statistical Studies and Economics of Knowledge (ISSEK) Ivan Iudin and Valentina Polyakova analysed data from the Monitoring Survey of Innovative Behaviour of the Population, conducted between late 2020 and early 2021, to examine whether overall trust in science differs from trust in specific fields and to identify the factors influencing both.
The survey included more than 6,000 respondents aged 18 to 65, who were asked about their level of trust in scientific institutions in general and in the results obtained within six specific fields of science. According to the survey, 53% of respondents trust universities and 43% trust scientific organisations. Scientific results in medicine inspired the greatest confidence (41%), while the social sciences and humanities ranked lowest, with only 19% of respondents expressing unconditional trust.
In order to clarify the drivers behind these results, the researchers examined four factors underlying trust: perceived motivations of scientists, scientific literacy, perceived promises and reservations about science, and cultural engagement with science.
Perceptions of scientists’ motivations were assessed by asking respondents to rate their agreement with the following statements: 'Scientists help solve challenging problems,' 'Most scientists seek to improve the lives of ordinary people,' and 'Scientists are passionate individuals who work for the benefit of humanity.' Scientific literacy was assessed through a test measuring knowledge of basic school-level scientific facts, understanding of individual phenomena, and familiarity with scientific achievements and procedures. Respondents were asked to identify whether specific statements were true or false, such as: 'The Earth revolves around the Sun,' 'An electron is smaller than an atom,' and 'A laser works by focusing sound waves.'
Perceptions of the promises of science and technology, as well as reservations about them, were assessed based on respondents’ agreement or disagreement with statements such as: 'The development of science and technology brings more benefits than harm,' 'Science and technology make our lives easier and more comfortable,' 'People today place too much importance on scientific and technological achievements, neglecting the spiritual side of life,' and 'Advances in science and technology can have unexpected, dangerous consequences for human health and the environment.'
Cultural engagement with science was measured using the Scientific Information Consumption Index, which reflects how frequently individuals attend cultural and educational events and consume popular scientific content through reading, viewing, or listening.
The findings suggest that people’s trust in science is driven more by social perceptions and attitudes than by their scientific knowledge or engagement with science. Acceptance of positive stereotypes about scientists increases the likelihood of trusting scientific institutions by 5.4 times. When considering specific fields, this effect is strongest for medical and agricultural sciences, where the likelihood of trusting the results increases 8–12 fold. Adopting a scientific worldview increases the likelihood of trusting scientific institutions by 1.7 times but decreases trust in the social and human sciences by a factor of 0.6–0.7. Believing in the promise of science significantly increases trust in both institutions and scientific results, especially in the natural, exact, and engineering sciences, where trust rises by 20 to 26 times. While perceiving risks in science and technology reduces trust in institutions, it actually doubles trust in results for the natural, exact, engineering, and agricultural sciences. Similarly, regular consumption of scientific information slightly lowers trust in institutions (by 0.76 times) but boosts trust in results in the natural and exact sciences (by 1.4 times).
Valentina Polyakova
'Our study demonstrates that, overall, Russians tend to trust scientists and scientific institutions. This trust is grounded in the belief that scientists have good intentions and that scientific advancements lead to improvements in quality of life,' notes Valentina Polyakova.
Ivan Iudin
Ivan Iudin highlights several interesting patterns revealed by the study: 'With age, the likelihood of trusting scientific results decreases across all fields except agricultural sciences, while trust in scientific institutions remains unchanged. Women are generally more likely than men to trust scientific institutions, as well as results in the humanities. Urban residents exhibit higher confidence in institutions and in the results of the natural and exact sciences, engineering, and medical sciences. Conversely, rural residents show greater trust in the results of the social sciences and humanities.'
According to the authors, understanding these patterns can help guide science policy. In the event of a crisis of trust in science, science communication should emphasise the tangible benefits of scientific progress and their relevance to everyday life.
See also:
Scientists Test Asymmetry Between Matter and Antimatter
An international team, including scientists from HSE University, has collected and analysed data from dozens of experiments on charm mixing—the process in which an unstable charm meson oscillates between its particle and antiparticle states. These oscillations were observed only four times per thousand decays, fully consistent with the predictions of the Standard Model. This indicates that no signs of new physics have yet been detected in these processes, and if unknown particles do exist, they are likely too heavy to be observed with current equipment. The paper has been published in Physical Review D.
Scientists Uncover Why Consumers Are Reluctant to Pay for Sugar-Free Products
Researchers at the HSE Institute for Cognitive Neuroscience have investigated how 'sugar-free' labelling affects consumers’ willingness to pay for such products. It was found that the label has little impact on the products’ appeal due to a trade-off between sweetness and healthiness: on the one hand, the label can deter consumers by implying an inferior taste, while on the other, it signals potential health benefits. The study findings have been published in Frontiers in Nutrition.
HSE Psycholinguists Launch Digital Tool to Spot Dyslexia in Children
Specialists from HSE University's Centre for Language and Brain have introduced LexiMetr, a new digital tool for diagnosing dyslexia in primary school students. This is the first standardised application in Russia that enables fast and reliable assessment of children’s reading skills to identify dyslexia or the risk of developing it. The application is available on the RuStore platform and runs on Android tablets.
HSE Scientists Optimise Training of Generative Flow Networks
Researchers at the HSE Faculty of Computer Science have optimised the training method for generative flow neural networks to handle unstructured tasks, which could make the search for new drugs more efficient. The results of their work were presented at ICLR 2025, one of the world’s leading conferences on machine learning. The paper is available at Arxiv.org.
Physicists Propose New Mechanism to Enhance Superconductivity with 'Quantum Glue'
A team of researchers, including scientists from HSE MIEM, has demonstrated that defects in a material can enhance, rather than hinder, superconductivity. This occurs through interaction between defective and cleaner regions, which creates a 'quantum glue'—a uniform component that binds distinct superconducting regions into a single network. Calculations confirm that this mechanism could aid in developing superconductors that operate at higher temperatures. The study has been published in Communications Physics.
Neural Network Trained to Predict Crises in Russian Stock Market
Economists from HSE University have developed a neural network model that can predict the onset of a short-term stock market crisis with over 83% accuracy, one day in advance. The model performs well even on complex, imbalanced data and incorporates not only economic indicators but also investor sentiment. The paper by Tamara Teplova, Maksim Fayzulin, and Aleksei Kurkin from the Centre for Financial Research and Data Analytics at the HSE Faculty of Economic Sciences has been published in Socio-Economic Planning Sciences.
Larger Groups of Students Use AI More Effectively in Learning
Researchers at the Institute of Education and the Faculty of Economic Sciences at HSE University have studied what factors determine the success of student group projects when they are completed with the help of artificial intelligence (AI). Their findings suggest that, in addition to the knowledge level of the team members, the size of the group also plays a significant role—the larger it is, the more efficient the process becomes. The study was published in Innovations in Education and Teaching International.
New Models for Studying Diseases: From Petri Dishes to Organs-on-a-Chip
Biologists from HSE University, in collaboration with researchers from the Kulakov National Medical Research Centre for Obstetrics, Gynecology, and Perinatology, have used advanced microfluidic technologies to study preeclampsia—one of the most dangerous pregnancy complications, posing serious risks to the life and health of both mother and child. In a paper published in BioChip Journal, the researchers review modern cellular models—including advanced placenta-on-a-chip technologies—that offer deeper insights into the mechanisms of the disorder and support the development of effective treatments.
Using Two Cryptocurrencies Enhances Volatility Forecasting
Researchers from the HSE Faculty of Economic Sciences have found that Bitcoin price volatility can be effectively predicted using Ethereum, the second-most popular cryptocurrency. Incorporating Ethereum into a predictive model reduces the forecast error to 23%, outperforming neural networks and other complex algorithms. The article has been published in Applied Econometrics.
Administrative Staff Are Crucial to University Efficiency—But Only in Teaching-Oriented Institutions
An international team of researchers, including scholars from HSE University, has analysed how the number of non-academic staff affects a university’s performance. The study found that the outcome depends on the institution’s profile: in research universities, the share of administrative and support staff has no effect on efficiency, whereas in teaching-oriented universities, there is a positive correlation. The findings have been published in Applied Economics.


