In a space often defined rapid program changes, and inconsistent standards, Dr. Seth Jenny has insisted on something esports still lacks at scale: evidence. As an Associate Professor at Slippery Rock University , a founding board member of the Esports Research Network , an Associate Editor for the Journal of Electronic Gaming and Esports , and a Senior Editor of the Routledge Handbook of Esports, he's been shaping for years the esports scene. His work is notable not only for its scope, his collegiate esports study is among the most comprehensive to date but also for its relevance to decision-makers who must justify esports through outcomes.
A central theme of our conversation was that research does not automatically “advance” an industry. It only becomes useful when it is accessible, practically written, and aligned with real operational questions. Dr. Jenny argues that esports research must avoid the “ivory tower” trap: studies that are technically sophisticated but unusable for directors, coaches, and administrators who are tasked with execution. When research is applied, designed to clarify what is true, what works, and under what conditions, it becomes a decision-support tool. It allows institutions to move from intuition to evidence-based program design.
That evidence matters because collegiate esports is frequently misunderstood, including inside higher education. The strongest institutional case for esports rarely rests on competitive success. It rests on retention, student engagement, and the development of transferable competencies that influence persistence and graduation. Dr. Jenny’s research aligns with what many directors observe informally: esports can create belonging, peer networks, and structured leadership experiences for students who may not otherwise connect to campus life. In the study discussed, students commonly described the value of collegiate esports in terms of community, teamwork, and communication, outcomes that map directly to established student development priorities.
One of the more striking points in Dr. Jenny’s analysis is the “role density” within esports participation. Traditional varsity athletes may develop leadership indirectly through sport, but esports participants are often required to operate across multiple functions that resemble real organizational work. A significant portion of players take on responsibilities beyond gameplay like broadcasting, team leadership, event operations, branding, community management, and sponsorship support. From an institutional perspective, this matters because it reframes esports as a campus-based applied learning environment, not merely a competitive activity. It also creates clearer pathways into employment categories that are adjacent to esports but broadly transferable: media production, marketing operations, project coordination, and digital community leadership.
At the same time, Dr. Jenny emphasized that higher education must be precise in how it defines “value.” One of the most common administrative expectations is that esports will drive recruitment. Yet the evidence suggests that recruitment attribution is not always straightforward. Programs may believe they are “recruiting” effectively, while students may not perceive their enrollment decision as esports-driven. The implication is not that esports fails to recruit, but that universities must measure recruitment impact with greater discipline distinguishing external recruitment from internal engagement, and identifying when esports influences transfer behavior, not just first-time enrollment. In practice, a program might have modest influence on new-student recruitment while still being highly valuable as a retention engine and an engagement hub.
This brings the conversation to governance and the need for standards especially as collegiate esports grows more complex. Dr. Jenny’s work with the Esports Research Network reflects the broader direction of the research community: sustainability models, inclusion and toxicity mitigation, and the institutionalization of esports education. Across these themes, one pattern recurs. Esports advances when stakeholders coordinate. It becomes fragile when it fragments across leagues, policies, and inconsistent expectations of what esports programs are supposed to produce.
No topic illustrates this governance challenge more clearly than artificial intelligence.
Dr. Jenny played a leading role in developing the World Esports Artificial Intelligence (AI) Ethics Guidelines in collaboration with the International Esports Federation (IESF), using a structured, multi-phase expert input process. The guiding premise is simple: AI is already embedded in esports ecosystems, and the absence of shared ethical standards creates competitive integrity risks, data privacy issues, and trust failures between stakeholders. The goal is not to eliminate AI. The goal is to define responsible use.
In the conversation, Dr. Jenny distinguished three broad arenas where AI ethics become critical: general governance, training environments, and live competition. The most important boundary is whether AI alters competitive outcomes in ways that are unavailable to other competitors. When AI becomes an “invisible advantage” through real-time information extraction, performance augmentation, or automated decision support during gameplay it threatens the legitimacy of competition. AI-enabled systems can be used to reveal hidden information, infer opponent behavior from datasets, or provide feedback at speeds beyond human capacity. Even when such tools are framed as “analytics,” they can function as real-time competitive distortions.
Yet AI is not inherently adversarial to integrity. Dr. Jenny highlighted several constructive use cases that institutions often overlook: automated moderation to reduce toxicity, language translation to improve inclusion, accessibility enhancements for players with disabilities, and production tools that make broadcasts more informative and professionally packaged. The ethical distinction is not “AI versus no AI.” It is whether AI is transparent, governed, and used in ways that preserve fair play while protecting participants.
A key tension in the AI debate is unequal access. Wealthier programs and professional organizations can afford proprietary training systems, datasets, and AI models that smaller institutions cannot. The guidelines do not pretend this disparity disappears. Instead, they push organizers and institutions toward clarity: define what is permitted, ensure consent and transparency in data use, and prevent selective data access that privileges certain teams through sponsorship or special arrangements. Competitive integrity does not require identical resources across programs. It requires that the rules of competition are coherent, publicly stated, and enforced consistently.
For universities, the implications extend beyond competition. AI is rapidly reshaping how students learn, write, design, produce content, and interpret data. Dr. Jenny’s position is pragmatic: AI should be treated as a tool, not a shortcut. Higher education should neither ban AI indiscriminately nor permit it without accountability. The educational task is to teach students how to use AI effectively and ethically, including explaining their workflow, validating outputs, and maintaining human judgment. This is particularly relevant for esports-adjacent careers where AI can enhance production quality, analytics, and operational efficiency but also where misuse can create reputational and compliance risk.
Taken together, Dr. Jenny’s work illustrates a larger point: collegiate esports has moved past the phase where enthusiasm is sufficient. The next stage requires measurement, governance, and standards that can survive scrutiny from administrators, parents, and partners. Research provides the language and evidence to make that transition. AI ethics guidelines provide a framework to protect competition, participants, and institutional legitimacy as technology accelerates.
If collegiate esports is to be treated as a serious educational and developmental platform, it must be managed with the same rigor universities apply to other high-impact programs. Dr. Jenny’s work is not simply documenting esports. It is helping higher education decide what esports should become.
Live talk:
A central theme of our conversation was that research does not automatically “advance” an industry. It only becomes useful when it is accessible, practically written, and aligned with real operational questions. Dr. Jenny argues that esports research must avoid the “ivory tower” trap: studies that are technically sophisticated but unusable for directors, coaches, and administrators who are tasked with execution. When research is applied, designed to clarify what is true, what works, and under what conditions, it becomes a decision-support tool. It allows institutions to move from intuition to evidence-based program design.
That evidence matters because collegiate esports is frequently misunderstood, including inside higher education. The strongest institutional case for esports rarely rests on competitive success. It rests on retention, student engagement, and the development of transferable competencies that influence persistence and graduation. Dr. Jenny’s research aligns with what many directors observe informally: esports can create belonging, peer networks, and structured leadership experiences for students who may not otherwise connect to campus life. In the study discussed, students commonly described the value of collegiate esports in terms of community, teamwork, and communication, outcomes that map directly to established student development priorities.
One of the more striking points in Dr. Jenny’s analysis is the “role density” within esports participation. Traditional varsity athletes may develop leadership indirectly through sport, but esports participants are often required to operate across multiple functions that resemble real organizational work. A significant portion of players take on responsibilities beyond gameplay like broadcasting, team leadership, event operations, branding, community management, and sponsorship support. From an institutional perspective, this matters because it reframes esports as a campus-based applied learning environment, not merely a competitive activity. It also creates clearer pathways into employment categories that are adjacent to esports but broadly transferable: media production, marketing operations, project coordination, and digital community leadership.
At the same time, Dr. Jenny emphasized that higher education must be precise in how it defines “value.” One of the most common administrative expectations is that esports will drive recruitment. Yet the evidence suggests that recruitment attribution is not always straightforward. Programs may believe they are “recruiting” effectively, while students may not perceive their enrollment decision as esports-driven. The implication is not that esports fails to recruit, but that universities must measure recruitment impact with greater discipline distinguishing external recruitment from internal engagement, and identifying when esports influences transfer behavior, not just first-time enrollment. In practice, a program might have modest influence on new-student recruitment while still being highly valuable as a retention engine and an engagement hub.
This brings the conversation to governance and the need for standards especially as collegiate esports grows more complex. Dr. Jenny’s work with the Esports Research Network reflects the broader direction of the research community: sustainability models, inclusion and toxicity mitigation, and the institutionalization of esports education. Across these themes, one pattern recurs. Esports advances when stakeholders coordinate. It becomes fragile when it fragments across leagues, policies, and inconsistent expectations of what esports programs are supposed to produce.
No topic illustrates this governance challenge more clearly than artificial intelligence.
Dr. Jenny played a leading role in developing the World Esports Artificial Intelligence (AI) Ethics Guidelines in collaboration with the International Esports Federation (IESF), using a structured, multi-phase expert input process. The guiding premise is simple: AI is already embedded in esports ecosystems, and the absence of shared ethical standards creates competitive integrity risks, data privacy issues, and trust failures between stakeholders. The goal is not to eliminate AI. The goal is to define responsible use.
In the conversation, Dr. Jenny distinguished three broad arenas where AI ethics become critical: general governance, training environments, and live competition. The most important boundary is whether AI alters competitive outcomes in ways that are unavailable to other competitors. When AI becomes an “invisible advantage” through real-time information extraction, performance augmentation, or automated decision support during gameplay it threatens the legitimacy of competition. AI-enabled systems can be used to reveal hidden information, infer opponent behavior from datasets, or provide feedback at speeds beyond human capacity. Even when such tools are framed as “analytics,” they can function as real-time competitive distortions.
Yet AI is not inherently adversarial to integrity. Dr. Jenny highlighted several constructive use cases that institutions often overlook: automated moderation to reduce toxicity, language translation to improve inclusion, accessibility enhancements for players with disabilities, and production tools that make broadcasts more informative and professionally packaged. The ethical distinction is not “AI versus no AI.” It is whether AI is transparent, governed, and used in ways that preserve fair play while protecting participants.
A key tension in the AI debate is unequal access. Wealthier programs and professional organizations can afford proprietary training systems, datasets, and AI models that smaller institutions cannot. The guidelines do not pretend this disparity disappears. Instead, they push organizers and institutions toward clarity: define what is permitted, ensure consent and transparency in data use, and prevent selective data access that privileges certain teams through sponsorship or special arrangements. Competitive integrity does not require identical resources across programs. It requires that the rules of competition are coherent, publicly stated, and enforced consistently.
For universities, the implications extend beyond competition. AI is rapidly reshaping how students learn, write, design, produce content, and interpret data. Dr. Jenny’s position is pragmatic: AI should be treated as a tool, not a shortcut. Higher education should neither ban AI indiscriminately nor permit it without accountability. The educational task is to teach students how to use AI effectively and ethically, including explaining their workflow, validating outputs, and maintaining human judgment. This is particularly relevant for esports-adjacent careers where AI can enhance production quality, analytics, and operational efficiency but also where misuse can create reputational and compliance risk.
Taken together, Dr. Jenny’s work illustrates a larger point: collegiate esports has moved past the phase where enthusiasm is sufficient. The next stage requires measurement, governance, and standards that can survive scrutiny from administrators, parents, and partners. Research provides the language and evidence to make that transition. AI ethics guidelines provide a framework to protect competition, participants, and institutional legitimacy as technology accelerates.
If collegiate esports is to be treated as a serious educational and developmental platform, it must be managed with the same rigor universities apply to other high-impact programs. Dr. Jenny’s work is not simply documenting esports. It is helping higher education decide what esports should become.
Live talk:
