• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Independent Experts More Effective Than Collective Expertise in Decision-Making Under Uncertainty

Independent Experts More Effective Than Collective Expertise in Decision-Making Under Uncertainty

© iStock

A collaborative study by Sergey Stepanov, Associate Professor at the HSE Faculty of Economic Sciences and ICEF, and experts from INSEAD Business School and NYU Shanghai, indicates that in making decisions under high uncertainty, where it is unclear which choice is superior, advice from independent experts may be more beneficial than a collective opinion from a group of experts. The study has been published in Games and Economic Behavior.

In real-life situations, decision-makers often face the dilemma of whether to rely on the opinions of multiple independent experts or opt for collective consultation. Independent expert opinions are common in fields such as science and medicine—for instance, when reviewing papers for academic journals, multiple experts independently provide their feedback without knowing the identities of the other reviewers. Examples of collective expertise include meetings of directors, think tanks, commissions, and advisory boards, where solutions are discussed and assessed by experts working together as a team. 

To determine when it may be more effective to rely on independent expert opinions versus a collective assessment, the researchers developed a model featuring several hypothetical experts who have received information about the situation but may interpret it in different ways. Each expert's goal is to convince the decision-maker of their competence by providing the most accurate forecast possible. The model envisioned two scenarios: independent expertise, where the experts were unaware of each other's involvement, and collective expertise, where they could discuss the information before presenting a unified opinion.

In the model, whether the experts express their true opinions is influenced by their reputation concerns. When a particular option is considered the most likely to be the right choice a priori, an independent expert may hesitate to contradict this prior opinion. But when acting as a group, individuals can first share opinions among themselves and thus reinforce their doubts if many experts have those, allowing the group to provide a more accurate response in such situations. Where an individual expert might refrain from speaking out, a group can persuade management to adopt a different perspective if it appears more suitable.

The study's findings indicate that the effectiveness of either approach depends on the level of certainty in the situation. In conditions of certainty, where the likelihood of success for each option is relatively well understood, a collective approach facilitates the gathering of more data and the development of a unified solution. By collaboratively discussing and analysing information, a team of experts can reach more accurate conclusions and reduce disagreements.

However, independent expertise is more effective in challenging and unpredictable situations. When it is unclear what is right a priori, an individual expert is not afraid of expressing their true opinion. This approach also helps prevent the influence of groupthink, where experts feel compelled to conform to the majority opinion. Hence, in contrast to the collective expertise, independent experts will be able to credibly communicate disagreements among them, which is valuable for choosing the optimal decision.

By 'high uncertainty,' the researchers refer to situations where there is no clear or widely accepted understanding of the potential outcome. These may include unconventional economic forecasts, unstable political situations, unfamiliar medical cases, and other scenarios that require flexibility and a non-standard approach to assessment.

'The study's findings can reshape our understanding of whether collective or independent advice is more effective. For a decision-maker, this choice does not depend on their personal preferences,' according to Sergey Stepanov, Associate Professor at the Faculty of Economic Sciences.

When it is unclear what choice is correct a priori, , independent experts can provide a more objective opinion. This can be observed, for instance, when surveying economists for forecasts on inflation or GDP growth, where the complexity of economic processes makes it impossible to determine a single 'correct' opinion in advance. The mass media, think tanks, and government agencies conduct such surveys among various experts to obtain a comprehensive assessment of the situation. 

'In some cases, we can choose whether to consult an independent expert or seek advice from a group of experts,' Sergey Stepanov believes. 'For example, when making a complex medical diagnosis, one can either consult several medical experts independently or convene a medical case conference. Both of these approaches can be effective.'

Thus, according to the authors, the choice between independent and collective expertise depends on the specific situation, its complexity, and the available data.

See also:

HSE Neurolinguists Reveal What Makes Apps Effective for Aphasia Rehabilitation

Scientists at the HSE Centre for Language and Brain have identified key factors that increase the effectiveness of mobile and computer-based applications for aphasia rehabilitation. These key factors include automated feedback, a variety of tasks within the application, extended treatment duration, and ongoing interaction between the user and the clinician. The article has been published in NeuroRehabilitation.

'Our Goal Is Not to Determine Which Version Is Correct but to Explore the Variability'

The International Linguistic Convergence Laboratory at the HSE Faculty of Humanities studies the processes of convergence among languages spoken in regions with mixed, multiethnic populations. Research conducted by linguists at HSE University contributes to understanding the history of language development and explores how languages are perceived and used in multilingual environments. George Moroz, head of the laboratory, shares more details in an interview with the HSE News Service.

Slim vs Fat: Overweight Russians Earn Less

Overweight Russians tend to earn significantly less than their slimmer counterparts, with a 10% increase in body mass index (BMI) associated with a 9% decrease in wages. These are the findings made by Anastasiia Deeva, lecturer at the HSE Faculty of Economic Sciences and intern researcher in Laboratory of Economic Research in Public Sector. The article has been published in Voprosy Statistiki.

Scientists Reveal Cognitive Mechanisms Involved in Bipolar Disorder

An international team of researchers including scientists from HSE University has experimentally demonstrated that individuals with bipolar disorder tend to perceive the world as more volatile than it actually is, which often leads them to make irrational decisions. The scientists suggest that their findings could lead to the development of more accurate methods for diagnosing and treating bipolar disorder in the future. The article has been published in Translational Psychiatry.

Scientists Develop AI Tool for Designing Novel Materials

An international team of scientists, including researchers from HSE University, has developed a new generative model called the Wyckoff Transformer (WyFormer) for creating symmetrical crystal structures. The neural network will make it possible to design materials with specified properties for use in semiconductors, solar panels, medical devices, and other high-tech applications. The scientists will present their work at ICML, a leading international conference on machine learning, on July 15 in Vancouver. A preprint of the paper is available on arxiv.org, with the code and data released under an open-source license.

HSE Linguists Study How Bilinguals Use Phrases with Numerals in Russian

Researchers at HSE University analysed over 4,000 examples of Russian spoken by bilinguals for whom Russian is a second language, collected from seven regions of Russia. They found that most non-standard numeral constructions are influenced not only by the speakers’ native languages but also by how frequently these expressions occur in everyday speech. For example, common phrases like 'two hours' or 'five kilometres’ almost always match the standard literary form, while less familiar expressions—especially those involving the numerals two to four or collective forms like dvoe and troe (used for referring to people)—often differ from the norm. The study has been published in Journal of Bilingualism.

Overcoming Baby Duck Syndrome: How Repeated Use Improves Acceptance of Interface Updates

Users often prefer older versions of interfaces due to a cognitive bias known as the baby duck syndrome, where their first experience with an interface becomes the benchmark against which all future updates are judged. However, an experiment conducted by researchers from HSE University produced an encouraging result: simply re-exposing users to the updated interface reduced the bias and improved their overall perception of the new version. The study has been published in Cognitive Processing.

Mathematicians from HSE Campus in Nizhny Novgorod Prove Existence of Robust Chaos in Complex Systems

Researchers from the International Laboratory of Dynamical Systems and Applications at the HSE Campus in Nizhny Novgorod have developed a theory that enables a mathematical proof of robust chaotic dynamics in networks of interacting elements. This research opens up new possibilities for exploring complex dynamical processes in neuroscience, biology, medicine, chemistry, optics, and other fields. The study findings have been accepted for publication in Physical Review Letters, a leading international journal. The findings are available on arXiv.org.

Mathematicians from HSE University–Nizhny Novgorod Solve 57-Year-Old Problem

In 1968, American mathematician Paul Chernoff proposed a theorem that allows for the approximate calculation of operator semigroups, complex but useful mathematical constructions that describe how the states of multiparticle systems change over time. The method is based on a sequence of approximations—steps which make the result increasingly accurate. But until now it was unclear how quickly these steps lead to the result and what exactly influences this speed. This problem has been fully solved for the first time by mathematicians Oleg Galkin and Ivan Remizov from the Nizhny Novgorod campus of HSE University. Their work paves the way for more reliable calculations in various fields of science. The results were published in the Israel Journal of Mathematics (Q1).

Large Language Models No Longer Require Powerful Servers

Scientists from Yandex, HSE University, MIT, KAUST, and ISTA have made a breakthrough in optimising LLMs. Yandex Research, in collaboration with leading science and technology universities, has developed a method for rapidly compressing large language models (LLMs) without compromising quality. Now, a smartphone or laptop is enough to work with LLMs—there's no need for expensive servers or high-powered GPUs.