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Recent Submissions

Access status: Open Access ,
Integration of Artificial Intelligence into Medical Practice at the Medical Centers of the “University Medical Center” Corporate Fund: Perception of Medical Staff
(Nazarbayev University Graduate School of Public Policy, 2026-01-30) Zhumanova, Zarina; Khassenova, Ainur; Sagimbekov, Bauyrzhan; Nanovsky, Simeon
This study discusses the preparation of implementing the use of artificial intelligence (AI) into clinical practice in the University Medical Center (UMC), and what motivates the willingness to adopt it and what circumstances influence trust of using AI-assisted decision-making. The research is based on a mixed-method design where a cross-sectional survey of the staff is conducted with intensive qualitative interviews to collect both quantifiable predictors of readiness and practical issues that arise in the actual clinical processes. This quantitative analysis suggests that the willingness to use AI is most closely related to perceived usefulness, digital confidence, and organizational readiness, which means that positive attitudes are prone to turn into adoption intent at the moment when the staff members feel competent and trained and equipped to do this. The qualitative results add a deeper shade to this image because they demonstrate that superficial optimism may be combined with opposition under the conditions of uncertainty about operational rules, in particular, accountability, verification processes, and workflow integration. In both strands, there is increased trust when AI generated outputs are clinically explicable, patient data security is plausible and comprehensible, and accountability to AI-aided decision making is well-controlled. The research concludes that effective AI implementation in the UMC is not determined by the degree of enthusiasm about technology but rather the establishment of governance systems that are safe, transparent, and role-specific capacity building and accountability. The findings highlight a more controlled implementation policy, enhanced data governance, and preparedness of the organization instead of quick deployment.
Access status: Open Access ,
Stakeholders’ perception of AI use in Kazakhstan’s secondary schools
(Nazarbayev University Graduate School of Public Policy, 2026-01-25) Medeuov, Zhomart; Mukhametkaliyev, Bakhtiyar; Tulekbayeva, Dariya; Nanovsky, Simeon
The research investigates secondary schools in Kazakhstan through an exploratory study that combines qualitative and quantitative research methods to exam the implementation of artificial intelligence tools. The research uses survey data from teachers, student parents, and policymakers to study AI implementation in classroom education, while adding qualitative data from school administrators and policymakers through interviews. The research shows that teachers extensively use AI but do so independently of institutional support while parents and policymakers doubt the safety of AI systems. All stakeholder groups agree that AI systems deliver two main advantages, including better lesson preparation and enhanced operational efficiency, but they continue to worry about academic dishonesty, student reliance on technology and privacy risks, and undefined standards for AI implementation in education. Although national strategies and programmes addressing AI in education have expanded during the research period, the study reveals a still existing gap between policy frameworks and their practical implementation in schools. The research study demonstrates evidence-based findings about this implementation deficit through its analytical method. The research examines ethical risks that stakeholders consider essential problems instead of focusing on technical benefits.
Access status: Open Access ,
Housing Blocks for Vulnerable Groups: Accessibility and Satisfaction for People with Disabilities in Astana, Kazakhstan
(Nazarbayev University Graduate School of Public Policy, 2026-01-30) Kaiyrly, Sagynysh; Gulamova, Dariga; Haydary, Ahmad Mansour; Kozlov, Vladimir
Affordable housing is significant in meeting independence, safety, and life quality among individuals with disabilities. The government has been involved in the introduction of subsidized housing programs in Kazakhstan where vulnerable populations are assisted such as individuals with disability. Nevertheless, the evidence regarding the availability and adequacy of living conditions under these housing programs is very limited. This paper will look at the degree of accessible and house contentment among individuals with disabilities residing in subsidized apartments within Astana and compare their experiences with that of individuals residing in non subsidized apartments. The research adopts a mixed-methods research design. Data collection was done in three subsidized housing complexes in Astana, Azerbayev Street, Valikhanov Street and Rechnoy Kvartal. The main study group would consist of the residents with disabilities who live at these housing blocks, and the comparison group would consist of individuals with disabilities who dwell in non-subsidized housing within the city. Techniques of data collection were structured surveys, semi-structured interviews and in-situ observations of living standards. Quantitative data analysis was conducted through descriptive and comparative statistical analysis; whereby qualitative data analysis was thematic. The results indicate that housing that is subsidized has the feature of basic accessibility provision like ramps and elevators, but most of them are poorly made or not maintained. This means that tenants living in subsidized housing do not always record increased rates of residential satisfaction than tenants living in non-subsidized housing. The findings of the interview also indicate that the issue of accessibility restricts the independence of residents and makes them more dependent on their relatives. The research claims that disability-inclusive housing should go beyond the formal accessibility requirements to include quality maintenance, good management and increased focus on the needs of the occupants.
Access status: Open Access ,
Career Decisions of School Graduates in Kazakhstan
(Nazarbayev University Graduate School of Public Policy, 2026-01-30) Kiyatov, Damir; Yeshankulova, Ulbossyn; Sagadiyeva, Kalamkas; Rahimi, Obaidullah; Syed Asad Abbas Bokhari
This paper will focus on the impact of state educational grants in Kazakhstan on the education and career choices of graduates and how social, economic, and institutional contexts interact with grant incentive programs. Based on a qualitative design, we organized semi-structured interviews with 46 respondents (recent graduates and teachers) and analyzed them using template analysis in NVivo. The analysis was guided by eight codes: grant-driven choice, personal interest, family influence, teacher support, socioeconomic constraints, information and institutional context, career mismatch and career guidance system. The results show that grants are enablers of access as well as inhibitors of perceived choices. Among numerous graduates, tight household budgets and a lack of certainty in the cost of tuition made eligibility for grants the first filtering decision, and it crowds out prior interests. This was the dynamic that was mostly enhanced by family expectations and risk avoidance that encouraged safe fields that were perceived to be stable or prestigious. Earlier exploration may be countered with pressure by teacher support and school guidance about the rules of admission, projecting expectations based on exam scores, and encouraging earlier exploration. Nevertheless, the rushed decisions and wrong fits between interests and majors enrolled were caused by late or incomplete information about quotas, deadlines, and program requirements. The paper recommends that enhancing transparency, timeliness and usability of information on grants and admissions and both better counselling and better labour-market signalling might help lower the mismatch and enable more deliberate choices. Policy recommendations include earlier outreach, direct advice to poor students and better communication of alternate paths, such as the availability of international scholarships. These measures can increase the equity and reinforce the compatibility between education preferences and student choices. The evidence that is presented in the paper are used to inform grant policy and school guidance, but the results are context-specific and not statistically generalizable.
Access status: Open Access ,
Factors Influencing the Corporate Sector to Fund Nonprofit-led Sustainable Development Projects in Kazakhstan
(Nazarbayev University Graduate School of Public Policy, 2026-01-30) Zhuvanizhbayeva, Anel; Dias, Lima; Ali, Hamid; Omirzhankyzy, Aigerim; Burkhanov, Aziz
The study examines the factors that influence corporate decisions to fund nonprofit-led sustainable development projects in Kazakhstan. It identifies practical approaches that help nonprofit organizations secure support. The study was based on the venue’s organizational structure, the Civil Initiatives Support Center (CISC). The study applies a mixed-methods design: two FGDs with 12 NGO representatives and a survey completed by 52 respondents. Findings show that corporate engagement is based on trust and credibility. 46.2% of survey respondents identified corporate distrust toward NGOs as the main barrier to funding. In addition, where NGO's formal impact measurement is limited, they rely on personal networks, referrals, and public visibility. “Preference for measurable results” was rated as the most important selection criterion (M = 4.15/5). The study also finds that partnerships often begin through informal pathways that reduce organizational risk, including employee volunteering (32.7%), pro bono expertise (25%), joint events and communications (34.6%), and cultural mutual-aid practices (asar), before evolving into direct financial contributions (48.1%). Corporate support also depends on alignment with the corporate sector’s CSR/ESG agendas and internal compliance/due diligence procedures that can delay or prevent cooperation. Overall, the results of FGDs and surveys suggest that sustained corporate funding depends on relationship-building, credible reporting routines, and institutional capacity.