Hannah Anush has been honored with a 2026 Global Recognition Award in the Research category for an exceptional and sustained body of scholarship at the intersection of artificial intelligence, healthcare, and education. Her research addresses one of the most consequential challenges facing modern institutions: how to deploy AI responsibly at scale without compromising the trust and ethical standards that healthcare systems and educational institutions depend on. With 79 total citations, an h-index of 5, and an i10-index of 3, her scholarly impact is measurable, expanding, and field-relevant.

A Research Portfolio Built on Relevance

Anush’s most-cited work—a study on student and instructor perceptions of artificial intelligence in higher education, which drew 32 citations—established her as an authoritative empirical voice on a question that has since become central to educational policy worldwide. The paper provided evidence that had previously been dominated by speculation, and its impact within the scholarly community confirmed what her subsequent work has continued to demonstrate: that rigorous, human-centered inquiry into AI adoption produces knowledge that practitioners and policymakers can actually use.

Her published research on AI-driven predictive models for early disease detection and natural language processing in medical data analysis extended her scholarly identity decisively into healthcare. In this domain, the responsible deployment of AI is not a governance preference but a clinical imperative. Across both fields, her argument is consistent: technical capability without ethical governance is insufficient, and the institutions best positioned to succeed with AI are those that build readiness from the inside out.

International Collaboration and Interdisciplinary Reach

A defining feature of Anush’s research profile is the breadth of her collaborative network, spanning engineering, management science, and healthcare disciplines across multiple institutions and geographic contexts. The Global Recognition Awards panel identified this cross-disciplinary reach as a specific marker of excellence, noting that her capacity to work across institutional and international boundaries strengthens both the rigor and the applicability of her findings. Her scholarship on technology accessibility in emerging economies further distinguishes her contributions—addressing AI adoption in resource-constrained settings where the consequences of ungoverned deployment are most acute.

The Global Recognition Awards evaluation employs the Rasch measurement model, creating a linear scale that enables precise comparison across fields. Anush scored at the highest tier across all five assessed dimensions: originality and methodological innovation, international collaboration, citation impact, interdisciplinary scope, and real-world applicability. Her additional work connecting foundational organizational theory to contemporary healthcare workforce challenges further illustrates the range and practical grounding of her scholarship.

Impact Beyond the Journal Page

Hannah Anush represents the kind of scholar whose research moves directly into the practical decisions of organizations navigating AI-driven change. Her sustained focus on ethical leadership, institutional readiness, and human-centered technology adoption across healthcare and education has produced a body of work that is purposeful, internationally recognized, and increasingly influential. Her continued engagement with these themes positions her as a researcher whose contributions will remain essential as both sectors deepen their reliance on artificial intelligence.

“Hannah Anush exemplifies what this recognition stands for. Her research bridges theory and practice with a clarity and ethical seriousness that is genuinely world-class, and the panel was unambiguous in its assessment of her exceptional contributions to the field.” — Alex Sterling, Spokesperson, Global Recognition Awards.