Ministry grants
Topic: The history of Kazakhstan in Kokand written sources of the 19th – the beginning of the 20th centuries
IRN: AP26101025
Project Manager: Zhuldyz Tulibayeva
Scopus ID: 56015668000
ORCID: 0000-0002-4284-0871
Web of Science Researcher ID: EBY-5586-2022
Relevance and Novelty: Kokand manuscript sources are vital yet insufficiently studied evidence of the history of the southern regions of Kazakhstan and Central Asia. Previously, these manuscripts had not been fully introduced into scientific circulation. For the first time, this project aims to conduct a comprehensive analysis of the Kokand manuscript heritage of the 19th and early 20th centuries to determine its historical and cultural significance.
Research Objective: To identify, scientifically analyze, and introduce into source-study circulation information regarding the history of Kazakhstan contained in manuscript sources of the Kokand Khanate period in the Persian and Chagatai languages.
Topic: Optimizing Cost and Risk Management in Industrial Construction Projects: A Comprehensive Framework for Kazakhstan
IRN: AP26100823
Project Manager: Maksat Kalybek
Scopus ID: 57221915478
ORCID: 0000-0001-7168-8779
Web of Science Researcher ID: JPL-1814-2023
Relevance and Novelty: For the first time, the project proposes a comprehensive concept for cost optimization and risk management adapted to the realities of Kazakhstan. Unlike existing generalized models, this study considers the country’s socio-economic, legislative, climatic, logistical, and seismic characteristics. The novelty of the research lies in the combination of quantitative and qualitative methods, as well as the direct involvement of key industry experts in developing relevant recommendations. The project results will serve as a basis for revising construction project management standards in Kazakhstan.
Research Objective: To conduct a comprehensive analysis of risks in large-scale industrial construction projects in Kazakhstan and to develop and test innovative systems using advanced artificial intelligence methods to optimize the ratio between time, cost, and risk under conditions of uncertainty.
Topic: Reforms in Kazakhstani higher education through internationalization and transformational leadership
IRN: АР23488831
Project Manager: Askat Tleuov
Scopus ID: 57807616100
ORCID: 0000-0001-6642-3047
Web of Science Researcher ID: JPQ-4952-2023
Relevance and Novelty: The relevance of this study is linked to fundamental reforms within Kazakhstan’s higher education system and global challenges such as digitalization and AI. The project’s novelty lies in its comprehensive study of how generational shifts in university management—specifically the arrival of young leaders—and strategic international partnerships impact university development. By utilizing qualitative methods like interviews and focus groups, the research evaluates the internal mechanisms of transformation through the perspectives of both faculty and students.
Research Objective: To study the transformation process of state higher education institutions in Kazakhstan within the context of internationalization and the renewal of university leadership; to identify emerging opportunities and obstacles; and to develop scientifically based recommendations for improving higher education policy.
Topic: Decentralization, local governance and regional development in Kazakhstan
IRN: АР23488746
Project Manager: Bauyrzhan Yedgenov
Scopus ID: 57195780247
ORCID: 0000-0001-6625-4554
Web of Science Researcher ID: AAR-5096-2020
Relevance and Novelty: This project aims to provide a scientifically based assessment of the ongoing reforms to improve the public administration system in Kazakhstan. Issues regarding fiscal decentralization and local self-government are critical for ensuring sustainable regional development and maintaining economic balance across the country. The scientific novelty of this project lies in the creation of the first unified database for national, regional, and local budgets, which will be provided as an open resource for the scientific community.
Research Objective: To conduct a comprehensive comparative assessment of state budget system reforms aimed at the fiscal and administrative decentralization of regional and local management in Kazakhstan, and to determine their impact on socio-economic indicators.
Topic: Kazakhstan’s Cross-Border Cooperation with Neighboring Central Asian States
IRN: АР23489647
Project Manager: Sergei Golunov
Scopus ID: 55874382000
ORCID: 0000-0002-5859-576X
Web of Science Researcher ID: IQW-7413-2023
Relevance and Novelty: The project aims to provide a comprehensive study of the evolution of cross-border cooperation between Kazakhstan and Central Asian countries in the post-Soviet period. Previously, research on this topic was limited and primarily focused on the Russian and Chinese directions. The novelty of the project lies in a conceptual and comparative analysis of Kazakhstan’s regional cooperation experience in comparison with international practice. This study contributes to a deeper understanding of integration processes in Central Asia and increases their effectiveness.
Research Objective: To study the problems and results of Kazakhstan’s cross-border cooperation with neighboring Central Asian states, determine ways to increase its effectiveness taking into account international experience and theoretical approaches, and develop recommendations for the development of cooperation.
Topic: Development of an adaptive platform for integrating publishers and libraries using electronic publishing and artificial intelligence technologies
IRN: АР23483919
Project Manager: Andrey Bogdanchikov
Scopus ID: 57216432873
ORCID: 0000-0001-9693-7487
Web of Science Researcher ID: JAC-6717-2023
Relevance and Novelty: The project aligns with the concept of digitalizing higher education and science, supporting the digital transformation of libraries. This research represents the first practical model of such an integration platform in Kazakhstan. The novelty lies in the intellectualization of library systems through the implementation of an AI-based search engine and a tool for generating adaptive tests.
Research Objective: To design and develop an adapted platform that ensures seamless interaction between publishers and libraries using artificial intelligence and electronic publishing technologies.
Topic: Advancing Academic Integrity: Plagiarism Detection and Authorship Attribution with Contextual Embeddings
IRN: АР23487777
Project Manager: Shirali Kadyrov
Scopus ID: 36844229300
ORCID: 0000-0002-8352-2597
Web of Science Researcher ID: C-9688-2018
Relevance and Novelty: To date, traditional plagiarism detection methods do not accurately distinguish between paraphrasing and contextual changes. This project aims to improve the accuracy of textual similarity analysis by combining contextual embeddings and deep learning methods. The scientific novelty lies in the use of modern artificial intelligence techniques for plagiarism detection and authorship recognition, which contributes to strengthening the culture of academic integrity and protecting intellectual property rights.
Research Objective: To increase the efficiency of plagiarism detection and authorship recognition using artificial intelligence models based on contextual embeddings, and to create an intelligent system aimed at ensuring academic integrity.
Topic: Diophantine approximation and irrationality of mathematical constants
IRN: AP19676669
Project Manager: Shirali Kadyrov
Scopus ID: 36844229300
ORCID: 0000-0002-8352-2597
Web of Science Researcher ID: C-9688-2018
Relevance and Novelty: The project is focused on studying complex problems within the theory of Diophantine approximations, including the fractal dimension of exceptional sets. The novelty of the research lies in the comprehensive application of number theory combined with methods from dynamical systems, ergodic theory, and numerical analysis. The project proposes new analytical methods for developing fast-converging generalized continued fractions to prove the irrationality of mathematical constants.
Research Objective: To solve fundamental problems in the field of Diophantine approximations and related topics, develop new numerical and analytical methods to investigate the irrationality properties of mathematical constants, and perform a qualitative analysis of fractal structures from the perspective of dynamical systems.
Topic: Building Efficient Delivery Systems with Neural Combinatorial Optimization
IRN: AP19675614
Project Manager: Cemil Turan
Scopus ID: 56246423000
ORCID: 0000-0002-2879-2447
Web of Science Researcher ID: P-7273-2017
Relevance and Novelty: The relevance of the project is driven by the growing demand for e-commerce and same-day delivery services in Kazakhstan. Optimizing logistical routes under conditions of traffic and weather uncertainty is of critical importance. The novelty of the project lies in the development of new models and algorithms based on Markov Decision Processes and Deep Reinforcement Learning methods, which increase the efficiency of delivery systems in a dynamic environment.
Research Objective: To create neural combinatorial optimization models and algorithms that enhance the operational efficiency of same-day delivery systems under uncertainty, and to apply them to solve practical logistical problems.
IRN: AP19677903
Project Manager: Raikhan Abnassyrova
Scopus ID: 57192645097
ORCID: 0000-0002-6160-5236
Web of Science Researcher ID: DMK-7955-2022
Relevance and Novelty: The project is based on the goals of the “Digital Kazakhstan” state program and the implementation of national language policies. In the era of globalization, the importance of teaching the Kazakh language in distance and open formats continues to grow. The novelty of the project lies in the integration of a scientific-methodological system for teaching Kazakh as a foreign language with new-format educational platforms, as well as in the comprehensive proposal of innovative teaching technologies and methods.
Research Objective: To provide a scientific and theoretical basis for teaching Kazakh as a second language through open educational platforms and to develop a modern teaching methodology to increase interest in the state language among foreign citizens studying within the country or living abroad.
IRN: AP19676131
Project Manager: Davronzhon Gaipov
Scopus ID: 57201636984
ORCID: 0000-0003-3012-8067
Web of Science Researcher ID: LRA-3898-2024
Relevance and Novelty: The project is based on the importance of implementing the internationalization strategy of Kazakhstan’s higher education system. The relevance of the study is linked to the need to identify organizational and methodological difficulties arising in the process of English-Medium Instruction (EMI). The novelty of the project lies in the first-ever comprehensive presentation of practical recommendations and effective pedagogical strategies aimed at improving the quality of the English-language educational environment in domestic universities.
Research Objective: To study the organizational processes of the English-language educational environment in universities of Kazakhstan, identify obstacles arising during the teaching process, and develop scientifically based recommendations for improving the effectiveness of education in English.
Topic: Creating research favorable environments in the universities and research institutions in Kazakhstan
IRN: AP19676568
Project Manager: Askat Tleuov
Scopus ID: 57807616100
ORCID: 0000-0001-6642-3047
Web of Science Researcher ID: JPQ-4952-2023
Relevance and Novelty: Research findings indicate that while Kazakhstan has established institutional and legislative foundations for scientific development, several systemic barriers limit their effectiveness. Despite improvements in research management and publication activity, productivity is hindered by insufficient funding, bureaucratic complexity, and a lack of equal access to infrastructure. The doctoral education system was identified as a weak link regarding supervision quality and administrative burden. The novelty of this project lies in the development of a conceptual model that integrates material, administrative, and cultural dimensions, providing specific recommendations to improve university and state policies.
Research Objective: To study the research environment in universities and research institutes across Kazakhstan using both qualitative and quantitative methods, and to develop specific recommendations for creating favorable conditions and a sustainable research culture.
Topic: Search for ways of building a just, human rights-centric, and strong Kazakhstan (social justice, inclusive identity, decoloniality)
IRN: AP19679071
Project Manager: Galym Zhussipbek
Scopus ID: 57195469148
ORCID: 0000-0002-6924-6039
Web of Science Researcher ID: P-5398-2017
Relevance and Novelty: The project is focused on the scientific understanding of Kazakhstan’s socio-political transformation amidst contemporary global and domestic challenges. The relevance of the study stems from the urgent need to establish institutional social justice and an inclusive national identity. The project’s novelty lies in proposing a new conceptual model for realizing the idea of “Kazakhstan as a common home for all, regardless of origin or social status.” This model is built on the universality of human rights, a decolonial approach, and critical realism, while simultaneously examining past historical traumas.
Research Objective: To determine the scientific and theoretical pathways for building a just and strong Kazakhstan that respects human rights and freedoms, grounded in the values of social justice and inclusive identity in the face of external and internal challenges.
Topic: Integration of Children with Autism Spectrum Disorder (ASD) into the Socio-Educational Environment Based on Comprehensive Support: Challenges and Benefits
IRN: BR18574199
Project Manager: Lyazzat Kosherbayeva
Scopus ID: 56431206300
ORCID: 0000-0001-8376-4345
Web of Science Researcher ID: AAS-6940-2020
Relevance and Novelty: The relevance of this study is driven by the growing importance of developing inclusive education in Kazakhstan, the social adaptation of children with special educational needs, and the protection of their rights. Creating equal opportunities and providing high-quality education for children with ASD is a priority in modern social policy. The scientific novelty of the project lies in the development of a multi-level, comprehensive model for the inclusion of children with autism spectrum disorders into social and educational spaces. This model integrates pedagogical, psychological, and social support, incorporating innovative approaches for working with parents.
Research Objective: To provide parents and guardians of children with autism spectrum disorders (ASD) with practical tools, advice, and strategies that allow them to not only understand the core aspects of ASD but also to provide effective support by better identifying the child’s needs. The researchers view the role of the parent or guardian as a key factor in the child’s development and well-being and strive to provide all the resources necessary for the effective fulfillment of this vital responsibility.
Topic: Bridging the gap: addressing transitional issues for first-year university students in Kazakhstan
IRN: АР25796179
Project Manager: Alfira Makhmutova
Scopus ID: 58001271900
ORCID: 0000-0002-8597-7667
Web of Science Researcher ID: MXY-5801-2025
Relevance and Novelty: Students entering the higher education system for the first time often face academic stress, decreased motivation, and social isolation. These issues directly impact their academic performance and psychological well-being. The novelty of this project lies in proposing an integrated approach aimed at supporting both the academic and social adaptation of students. By combining pedagogical and psychological tools, the project focuses on developing an effective model to facilitate the transition period for students in higher education institutions.
Research Objective: To study the challenges of academic, social, and psychological adaptation of first-year students in Kazakhstani universities and to develop effective support strategies and models aimed at minimizing the difficulties of the transition period.
Topic: The category of Lyusternik-Shnirelman maps and their highest topological complexity
IRN: AP25796111
Project Manager: Nursultan Kuanyshov
Scopus ID: 58119644100
ORCID: 0000-0003-2093-4268
Web of Science Researcher ID: LPP-3489-2024
Relevance and Novelty: This research, situated at the intersection of topology and algebra, aims at a deep understanding of the structural properties of spaces. The concepts of the Lyusternik–Shnirelman (LS) category and higher topological complexity have significant applications in modern mathematics, particularly in robotics, motion planning, and homotopy theory. The scientific novelty of the project lies in the generalization of classical theorems concerning the higher topological complexity of spaces and maps within a new context, as well as obtaining new results regarding the homomorphisms of finite abelian groups.
Research Objective: To study the LS-category and higher topological complexity of maps, and to extend classical results of the theory of higher topological complexity of spaces as applied to maps.
Topic: Polynomial Identities and Mutations of Algebras
IRN: AP22683764
Project Manager: Farukh Mashurov
Scopus ID: 57210822628
ORCID: 0000-0001-6049-6800
Web of Science Researcher ID: KOD-6634-2024
Relevance and Novelty: In modern algebra and its applications, the theory of mutations is a new direction for studying non-associative structures. Identifying the polynomial identities that hold under mutations and describing their algebraic properties plays a critical role in refining mathematical models. The novelty of this project lies in the systematic study of mutation elements in perm, bicommutative, Novikov, and Zinbiel algebras to reveal their structural features and interconnections.
Research Objective: To conduct a systematic study of polynomial identities that hold under mutation, determine the structural properties of perm, bicommutative, Novikov, and Zinbiel algebras, and establish their relationships with other non-associative algebras.
Topic: Artificial Intelligence Solutions for Advanced Urban Logistics
IRN: AP19575607
Project Manager: Aigerim Bogyrbayeva
Scopus ID: 57218692430
Web of Science Researcher ID: GXG-6631-2022
Relevance and Novelty: The relevance of this project is driven by the urgent need to reduce “last-mile delivery” costs, as this stage accounts for up to 50% of total transportation expenses. The project’s novelty lies in the development of Artificial Intelligence algorithms (specifically neural combinatorial optimization) that optimize delivery routes by integrating trucks and drones. This approach allows for solving complex logistical problems faster and more efficiently than traditional methods.
Research Objective: To improve the efficiency of urban delivery systems through the joint use of drones and trucks, to reduce delivery times, and to create new models and algorithms that optimize operational costs.
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