The Journal of Young Innovators

Leadership. Innovation. AI.

Opinion Pieces4/2/2025·Volume 1, Issue 1

From Neurons to Leaders: A Brain-Targeted Framework for Leadership Education

Mariale Hardiman

Johns Hopkins University

The rapidly evolving fields of neuroleadership and neuroeducation hold immense potential for transforming our understanding of effective leadership and learning. While neuroleadership delves into the neural underpinnings of leadership behaviors and decision-making processes (Rock & Schwartz, 2006), neuroeducation bridges the gap between neuroscience and education to optimize learning and cognitive performance (Hardiman, 2012). Despite their distinct origins and focal points, these two fields converge in their shared objective of translating neuroscience research into practical strategies for enhancing human performance and development. In this article, we propose a unified framework that synergizes insights from both domains, leveraging Dr. Mariale Hardiman's Brain-Targeted Teaching (BTT) model to optimize learning and leadership development across organizational and educational contexts. We aim to represent a comprehensive approach to fostering environments that nurture continuous improvement and innovation in leadership by integrating principles from neuroleadership, such as emotional intelligence (Goleman, 1998), transformational leadership (Bass & Riggio, 2006), adaptive leadership (Heifetz et al., 2009), and authentic leadership (Avolio & Gardner, 2005), Ultimately, this article seeks to arm leaders with a brain-targeted approach to leadership and learning, helping them to create impactful experiences that empower individuals to thrive and realize their full potential.

Research Articles1/7/2026·Volume 2, Issue 1

A Quantitative Analysis of Natural Resource Economics on Global Wealth

Andrew Leibowitz

Mercersburg Academy

This paper presents a quantitative analysis of the implications of natural resource economics on global wealth, encompassing an extensive observational study of growth models from 1970 to 2022 across a diverse set of countries. It scrutinizes the relationships between natural resource rents (as a percentage of Gross Domestic Product) and natural resource depletion (relative to Gross National Income), and their correlation with Gross Domestic Product per capita. The primary aim is to assess whether increased economic prosperity, as derived from natural resources, aligns with sustainable resource management or exacerbates environmental degradation. The study utilizes data from The World Bank and employs logistic regression analysis to explore these relationships. Despite the broad temporal and geographic scope, preliminary results suggest weak correlations, as indicated by low R² values, which imply that only a minimal portion of the variance in GDP per capita can be explained by changes in natural resource rents and depletion percentages. This outcome challenges the efficacy of current economic models in balancing economic development with environmental stewardship and suggests a need for further research using more granular data and advanced analytical models. The findings emphasize the complexity of natural resource economics and the critical role of innovative policies and management strategies in fostering sustainable economic growth without compromising environmental integrity.