As a research institute, KLI supports and disseminates research through a variety of means. Advancing research in leadership is of great importance to the Institute, and students work directly with KLI faculty and staff on a wide range of leadership research projects. Ongoing research projects include topics in Women and Leadership, The Language of Leadership, Data Science of Leadership, Effective Mentorship, Followership, and Responsible Leadership in Tech.
Women and Leadership
The Women and Leadership team seeks to explore the ongoing challenges women face today, understand the causes of gender disparities in leadership, and find ways to empower and celebrate women leaders through research and advocacy.
Talin Tyvand ’27
Wensheng (Vivian) Gao ’28
Maya Karafotas ’28
Martina Bernheim ’29
Networked Leadership
The Networked Leadership team is analyzing the impact of social networks on effective leadership. By using Social Network Analysis (SNA), an analysis on someone's "centrality" within a social network, their capabilities/traits, and even their titles, we will be able to understand what kinds of networks produce productive leaders.
Nethra Mahendran ’28
Daniel Cao ’29
Zoey Marzo '29
The Language of Leadership
Our team in the Language in Leadership project is researching how leaders use communication to motivate and energize their followers. We are currently in the literature review stage and plan to analyze four categories of speeches: motivational speakers, commencement speakers, sports coaches, and business leaders.
Samuel Dominguez ’27
Diego Núñez ’28
Olivia Wegmann-Krider ’29
Effective Mentorship
The Effective Mentorship Team is responsible for KLI LEAD, an initiative that develops the next generation of industry leaders through transformational leadership, career-aligned guidance, and leadership development.
Tanzila Jamal '26
Harry Patel ’27
William Hou '29
Responsible Leadership in Tech
Ariel Santiago ’26
Research Team Lead
Jai Rui (Jasmine) He ’28
Jonas Rickert ’28
Followership
The Followership research team is focused on expanding research and understanding of the concept of followership, a topic with limited research, and developing a database to create a more extensive understanding of the various perceptions of followership.
Daniel Drucker POM’27
Marco Cisneros-Farber ’29
Joseph Santhosh ’29
Data Science of Leadership
The Data Science & Leadership team leverages a large language model "digital twin" simulation methodology, where LLMs help emulate human behaviors, to improve leader training exercises.
Sylvana Poon ’26
Daniel Wu '27
Marcel Astrakhan ’29