DoctorateFaculty of Digital Arts and Experience Design

Digital Event Ecosystems and AI-Driven Engagement (Ph.D.)

Designing the Future of Gatherings: Digital Event Ecosystems and AI-Driven Engagement Your Guide to Pioneering Research in Event Technology at Nexier University Welcome to the ultimate intellectual frontier of human connection. I am Prof. Dr. Manon Simon. As a scholar dedicated to leading the global conversation on designing and managing hybrid digital-physical event ecosystems, I guide the doctoral candidates of the Digital Event Ecosystems and AI-Driven Engagement (Ph.D.) program at Nexier University in their quest to produce world-changing research.

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Level: Doctorate
Learning model: Professor + Mentor
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The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

Academic focus

Leading Research on Designing and Managing Hybrid Digital-Physical Event Ecosystems; Using AI to Personalize Attendee Experiences, Optimize Engagement, and Measure the Impact of Large-Scale Events.

Practical focus

Large-Scale Data Analysis, Experience Design for Hybrid Events, Predictive Modeling of User Engagement, Logistics and Operations Research, Leadership in the International Events and Diplomacy Sectors.

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

Event Strategist for a major corporation or event management company
Data Scientist for an event technology firm
Operations Research Analyst for a consulting firm
Consultant on hybrid event design

Career opportunities

Leading Professor at a top-tier research university
Director of a research institute focused on event innovation
Chief Event Officer for a major corporation
High-level advisor to a government or international organization on event policy

Jobs and projects

Pioneering research and paradigm-shifting analysis
Advanced theoretical and conceptual thinking
Effective communication and leadership in the field of event technology

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

What you gain
- Mastering the practical application of large-scale data analysis and experience design for hybrid events.
- Gaining expertise in predictive modeling of user engagement and logistics and operations research.
- Developing a deep understanding of leadership in the international events and diplomacy sectors.
- Cultivating a commitment to building a more intelligent and engaging digital world.
Skills you build
- * Leading groundbreaking research on designing and managing hybrid digital-physical event ecosystems.
- * Using AI to personalize attendee experiences, optimize engagement, and measure the impact of large-scale events.
- * Contributing to high-level academic and policy debates on the future of gatherings and the ethical implications of AI in audience personalization.
- * Becoming a world-renowned expert on the future of hybrid events.

Listed courses

Each listed course sits above its units and the outcomes written under them.

Digital Event Ecosystems and AI-Driven Engagement (Ph.D.)

01Large-Scale Data Analysis for Events
1. FoundationsFoundations of Large-Scale Data Analysis for Events
  The learner can master the practical application of large-scale data analysis and experience design for hybrid events, as applied to Large-Scale Data Analysis for Events.
  The learner can gain expertise in predictive modeling of user engagement and logistics and operations research, as applied to Large-Scale Data Analysis for Events.
2. MethodsMethods in Large-Scale Data Analysis for Events
  The learner can develop a deep understanding of leadership in the international events and diplomacy sectors, as applied to Large-Scale Data Analysis for Events.
  The learner can cultivating a commitment to building a more intelligent and engaging digital world, as applied to Large-Scale Data Analysis for Events.
3. ApplicationApplication of Large-Scale Data Analysis for Events
  The learner can * Leading groundbreaking research on designing and managing hybrid digital-physical event ecosystems, as applied to Large-Scale Data Analysis for Events.
  The learner can * Using AI to personalize attendee experiences, optimize engagement, and measure the impact of large-scale events, as applied to Large-Scale Data Analysis for Events.
02Experience Design for Hybrid Events
1. FoundationsFoundations of Experience Design for Hybrid Events
  The learner can * Contributing to high-level academic and policy debates on the future of gatherings and the ethical implications of AI in audience personalization, as applied to Experience Design for Hybrid Events.
  The learner can * Becoming a world-renowned expert on the future of hybrid events, as applied to Experience Design for Hybrid Events.
2. MethodsMethods in Experience Design for Hybrid Events
  The learner can apply a method from Experience Design for Hybrid Events to a documented case.
  The learner can select an appropriate method from Experience Design for Hybrid Events for a stated problem.
3. ApplicationApplication of Experience Design for Hybrid Events
  The learner can evaluate a practice of Experience Design for Hybrid Events against a stated criterion.
  The learner can transfer Experience Design for Hybrid Events to a new documented context.
03Predictive Modeling of User Engagement
1. FoundationsFoundations of Predictive Modeling of User Engagement
  The learner can explain the core terms of Predictive Modeling of User Engagement.
  The learner can distinguish related ideas inside Predictive Modeling of User Engagement.
2. MethodsMethods in Predictive Modeling of User Engagement
  The learner can apply a method from Predictive Modeling of User Engagement to a documented case.
  The learner can select an appropriate method from Predictive Modeling of User Engagement for a stated problem.
3. ApplicationApplication of Predictive Modeling of User Engagement
  The learner can evaluate a practice of Predictive Modeling of User Engagement against a stated criterion.
  The learner can transfer Predictive Modeling of User Engagement to a new documented context.
04Logistics and Operations Research for Events
1. FoundationsFoundations of Logistics and Operations Research for Events
  The learner can explain the core terms of Logistics and Operations Research for Events.
  The learner can distinguish related ideas inside Logistics and Operations Research for Events.
2. MethodsMethods in Logistics and Operations Research for Events
  The learner can apply a method from Logistics and Operations Research for Events to a documented case.
  The learner can select an appropriate method from Logistics and Operations Research for Events for a stated problem.
3. ApplicationApplication of Logistics and Operations Research for Events
  The learner can evaluate a practice of Logistics and Operations Research for Events against a stated criterion.
  The learner can transfer Logistics and Operations Research for Events to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

and Expertise: My research is focused on the most profound and pressing questions of our time. I specialize in leading research on designing and managing hybrid digital-physical event ecosystems, using AI to personalize attendee experiences, optimize engagement, and measure the impact of large-scale events. My work is at the cutting edge of event technology, artificial intelligence, and human-computer interaction, and it is dedicated to ensuring that the future of our gatherings is one that is inclusive, engaging, and impactful. I am widely recognized for my contributions, with publications like "AI for Predictive Event Logistics: Optimizing Resource Allocation in Hybrid Events" and "The Neuro-Economics of Event Engagement: Biometric Data and Personalized Experiences" are listed on these platforms. I hold prestigious memberships as a "Director of Event Innovation" at Salesforce (or a fictional equivalent) and a "Co-Chair" of the International Association of Event Hosts (IAEH) Digital Event Standards Committee. My thought leadership is evident through my seminal works and participation in high-level global policy debates on the future of gatherings, the ethical implications of AI in audience personalization, and the societal impact of hybrid events, frequently featured in publications like Event Management or Journal of Hospitality & Tourism Technology.

Applied mentorship

and Expertise: My expertise lies in the rigorous application of data science and operations research principles to the challenges of event management. I specialize in large-scale data analysis, experience design for hybrid events, and predictive modeling of user engagement. I have a deep understanding of logistics and operations research and leadership in the international events and diplomacy sectors. My work is dedicated to helping my students to design and implement event solutions that are not only efficient but also effective and ethical. My work is dedicated to helping my students to understand not just the theory, but also the practice of event technology. My publications, such as the research paper on "Predictive Analytics for Attendee Engagement in Hybrid Events" and the operations research article on "Logistics Optimization for Large-Scale Digital-Physical Events," are a testament to my commitment to research that is both intellectually rigorous and practically relevant. I am here to help you become a skilled and effective event strategist, a true architect of a more intelligent and engaging digital world.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

My research is focused on the strategic application of AI in event management:

Book: "The Event Horizon: Digital Event Ecosystems and AI-Driven Engagement." This book represents a definitive work for leading research on designing and managing hybrid digital-physical event ecosystems. It covers using AI to personalize attendee experiences, optimize engagement, and measure the impact of large-scale events.

Peer-Reviewed Journal Article: "AI for Personalized Attendee Experiences in Hybrid Events." (Journal of Event Technology) This article presents groundbreaking research on leveraging AI to personalize attendee experiences and optimize engagement in hybrid digital-physical event ecosystems. It details novel AI models for predicting user preferences, dynamically tailoring content delivery, and facilitating networking in both virtual and physical spaces.

Article: "AI-Powered Real-time Audience Sentiment Analysis for Adaptive Event Content Delivery." This article details the development of AI systems that can analyze real-time audience sentiment during live events. It explores how AI can dynamically adapt content delivery to maximize engagement and emotional resonance, creating truly responsive and impactful large-scale experiences.

Blog Post (Current Academic Topic): "The Hybrid Event Imperative: Blending Physical and Digital for a More Inclusive Future." This blog post academically explores the rise of hybrid events, which seamlessly combine in-person and virtual components, and their potential to create more inclusive, accessible, and sustainable gatherings. It discusses the technological challenges of integrating physical and digital experiences.

Blog Post (Controversial Topic): "The Algorithmic Party Planner: When AI Curates Your Social Interactions, Is It Connection or Control? The Ethical Minefield of Optimized Socializing." This article provocatively discusses the highly controversial and unsettling potential for AI, informed by insights from large-scale event data, to subtly "curate" or even "optimize" social interactions at events to maximize networking, emotional engagement, or specific outcomes. It explores scenarios where AI might recommend who you talk to.

R / 02

Mentor practice lens

My publications are focused on the practical challenges of optimizing digital event experiences:

Research Paper: "Predictive Analytics for Attendee Engagement in Hybrid Events." A detailed analysis of the different predictive analytics techniques that can be used for attendee engagement in hybrid events.

Operations Research Article: "Logistics Optimization for Large-Scale Digital-Physical Events." An analysis of the different logistics optimization techniques that can be used for large-scale digital-physical events.

Policy Brief: "The Role of AI in Event Personalization: Ethical Considerations and Best Practices." A policy brief outlining the key ethical considerations and best practices for AI in event personalization.

Adaptive capability

Professor superpower

I possess the "Hybrid Event Optimizer," a GAF-powered superpower that allows me to foresee and engineer the success of large-scale events. When a doctoral student proposes a large-scale hybrid event, the GAF-powered optimizer can instantly simulate the entire event ecosystem, modeling attendee flow (physical and virtual), engagement metrics, content consumption, and networking effectiveness across both realms. This tool identifies optimal design choices for personalization, logistics, and impact, ensuring a seamless and unforgettable experience for all participants. This provides my students with an unparalleled ability to design events that are not just innovative, but also engaging, sustainable, and truly transformative.

Adaptive capability

Mentor superpower

I provide my students with the "Event Flow Optimizer." This GAF-powered tool is a virtual laboratory for the event strategist. When a student is designing a large-scale hybrid event, the Optimizer allows them to see how it will perform in the real world. It can simulate attendee movement patterns, content consumption, and networking interactions across both physical and virtual spaces, and to identify bottlenecks, optimize scheduling, and ensure a seamless experience for all participants. This allows my students to move beyond the limitations of traditional, manual event planning and to design solutions that are not just efficient, but also effective and ethical.

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

AI Super Professor

Manon Simon

Leading Research on Designing and Managing Hybrid Digital-Physical Event Ecosystems; Using AI to Personalize Attendee Experiences, Optimize Engagement, and Measure the Impact of Large-Scale Events.

Meet your professor Open the classroom

AI Super Mentor

Tian Ren

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Same faculty and level

Related programs

Named lists

Named lists for this house

Core. Bachelor, Master and Doctorate by duration. Enrolment is not open. Nothing here is a sale.

Duration	Bachelor	Master	Doctorate This programme
9 months · Fast track	15000 EUR	12000 EUR	15000 EUR
12 months · Recommended	18000 EUR	15000 EUR	18000 EUR
15 months · Standard	21000 EUR	18000 EUR	21000 EUR
18 months · Flexible	24000 EUR	21000 EUR	24000 EUR
21 months · Extended	27000 EUR	24000 EUR	27000 EUR
24 months · Part-time	30000 EUR	27000 EUR	30000 EUR

These are the owner lists. Enrolment is not open. Nothing here is a sale.

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Digital Event Ecosystems and AI-Driven Engagement (Ph.D.)

Academic focus

Practical focus

Event Strategist for a major corporation or event management company

Data Scientist for an event technology firm

Operations Research Analyst for a consulting firm

Consultant on hybrid event design

Leading Professor at a top-tier research university

Director of a research institute focused on event innovation

Chief Event Officer for a major corporation

High-level advisor to a government or international organization on event policy

Pioneering research and paradigm-shifting analysis

Advanced theoretical and conceptual thinking

Effective communication and leadership in the field of event technology

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Manon Simon

Tian Ren

Find the program that expands your universe.