An Unusual and Exceptionally Useful Scientific Book. An Interview with Dmitry Nikolaenko

In this interview, Dmitry Nikolaenko discusses the main ideas of his monograph Learning to Understand the Object: Scientific Recognition Architecture, devoted to the investigation of complex dynamic natural processes. The central theme is the limitations of fragmented scientific knowledge and the potential of a cognitive standard that allows researchers to keep the evolving object in focus and establish connections between findings from different specialisms. The interview addresses fundamental gaps in knowledge, the responsibility of experts and the need to assess scientific work on its merits, independently of bibliometric indicators. Particular attention is given to training international research teams, using participants’ native languages and the potential of artificial intelligence for accurate translation of scientific texts and collaborative work. The educational structure of the monograph and prospects for developing specialised expert systems are also discussed. The practical significance of the proposed approach is illustrated through examples of dioxin contamination in Vietnam and New Zealand, changes in climate and sinkholes. The interview emphasises the need to account for the independent dynamics of natural processes and to examine them within a broad temporal context

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Publication Details

Journal
Pollution and Diseases
Published
2026-11-04
DOI
https://doi.org/10.66659/hn0x9b47
Primary Topic
Interdisciplinary Research and Collaboration
Type
article
Field-Weighted Citation Impact
0.00
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article

An Unusual and Exceptionally Useful Scientific Book. An Interview with Dmitry Nikolaenko

Lotte Visser
Pollution and Diseases
Interdisciplinary Research and Collaboration
article

An Unusual and Exceptionally Useful Scientific Book. An Interview with Dmitry Nikolaenko

Lotte Visser
article en

Abstract

In this interview, Dmitry Nikolaenko discusses the main ideas of his monograph Learning to Understand the Object: Scientific Recognition Architecture, devoted to the investigation of complex dynamic natural processes. The central theme is the limitations of fragmented scientific knowledge and the potential of a cognitive standard that allows researchers to keep the evolving object in focus and establish connections between findings from different specialisms. The interview addresses fundamental gaps in knowledge, the responsibility of experts and the need to assess scientific work on its merits, independently of bibliometric indicators. Particular attention is given to training international research teams, using participants’ native languages and the potential of artificial intelligence for accurate translation of scientific texts and collaborative work. The educational structure of the monograph and prospects for developing specialised expert systems are also discussed. The practical significance of the proposed approach is illustrated through examples of dioxin contamination in Vietnam and New Zealand, changes in climate and sinkholes. The interview emphasises the need to account for the independent dynamics of natural processes and to examine them within a broad temporal context

Pollution and Diseases
Openalex Percentile: Top 10%
Interdisciplinary Research and Collaboration
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