Extended Interview Guide

Natacha Leroy Zomosa — Research Portfolio 2026

01. The Basics (Introductions)

“Could you please state your full name and current professional title for the record?”
“How would you describe your primary occupation in the context of this research?”
“What is your current academic affiliation, and what specific program are you pursuing?”
“If you were introducing yourself at a global conference, how would you summarize your professional identity in 30 seconds?”
“What are the core disciplines that define your current work?”

02. Project Objectives & The ‘Why’

“What is the official title of your research project?”
“In your own words, what is the primary objective of this study?”
“What is the specific ‘gap’ or problem in the Chilean mining sector that your research aims to fix?”
“Who are the primary stakeholders or ‘beneficiaries’ of your project?”
“Why did you choose the Chilean territory specifically?”
“If this project succeeds, how will it change mining management in Chile?”

03. The Researcher’s Journey

“You transitioned from Anthropology to Development Cooperation. What was the catalyst for that shift?”
“How do you apply anthropological ‘fieldwork’ to AI and engineering projects?”
“How does your linguistic flexibility help you navigate different stakeholders?”
“What is the most significant insight from your time at Meiji University?”

04. Methodology (Simulation & Games)

“Why use a board game instead of standard meetings or software?”
“Can you walk us through the 6 phases of your research design?”
“How do you ensure the ‘roles’ in your simulation are realistic?”
“What does the ‘physical’ aspect of the board game bring to a negotiation?”
“What is the ‘Satisfaction Target’ for your stakeholders?”

05. Innovation & Anticipatory AI

“What exactly is ‘Anticipatory AI’ in the context of governance?”
“How does the AI act as a ‘Neutral Mediator’?”
“How do you translate game decisions into parameters for the AI?”
“What scientific data (water, soil, pollution) is the AI trained on?”
“How does the AI help stakeholders ‘see the future’?”

06. Long-term Impact & Policy

“How can this methodology be institutionalized into formal policy?”
“Can this model be applied to other industries like Lithium or Hydrogen?”
“What is the biggest barrier to corporate trust in game-based models?”
“What does a ‘successful’ agreement look like to you?”
“Where do you see yourself and this project in the next five years?”

Interview Strategy

Natacha Leroy Zomosa – Professional Profile & Research

Identity & Experience

“You transition from a Bachelor’s in Social Anthropology to a Master’s in Development Cooperation. How has your anthropological training influenced your approach to public policy and conflict resolution?”

Focus: Academic Evolution Copy

“Having worked with ECLAC (UN) and local municipalities in France, what is the most significant difference you’ve observed in how ‘social cohesion’ is handled in European vs. Latin American contexts?”

Focus: International Perspective Copy

“You speak five languages. In your experience, how does linguistic and cultural fluency change the dynamics of high-stakes mediation?”

Focus: Communication Mastery Copy

The Mining Board Game

“Why a board game? In an era of digital twins and complex software, what unique value does a physical, tactile board game environment add to the negotiation process?”

Focus: Methodological Choice Copy

“Your proposal mentions ‘stepping outside personal perspectives.’ How do you ensure that the roles within the game reflect the truly complex pressures that stakeholders face, rather than just caricatures?”

Focus: Stakeholder Authenticity Copy

“Why is the Chilean mining sector the perfect ‘laboratory’ for this experiment? What specific characteristics of Chilean socio-environmental conflicts make traditional top-down governance fail?”

Focus: Territorial Context Copy

Anticipatory AI

“You propose using an AI as a ‘neutral mediator.’ How do you plan to ‘audit’ or train your AI engine to ensure it remains a truly neutral and trusted party for all stakeholders?”

Focus: Algorithmic Neutrality Copy

“How does the ‘Agreement’ reached by players on the board get translated into parameters for the AI to simulate long-term impacts like water demand or soil pollution?”

Focus: Data Translation Copy

“As a lead with a social science background, how will you bridge the gap between ‘qualitative social insights’ and ‘quantitative AI modeling’ when collaborating with engineers?”

Focus: Interdisciplinary Leadership Copy

Institutional Impact

“What is the biggest barrier to getting a government ministry or a major mining corporation to accept a ‘game-based’ agreement as a formal input for policy?”

Focus: Institutional Barriers Copy

“Beyond the Chilean mining sector, do you see this model being applicable to other regions in South America or other extractive industries like lithium?”

Focus: Scalability Copy

“How will the specific courses at Meiji University, such as ‘Negotiation in the Public Sector,’ help you refine the mechanics of ‘integrative bargaining’ in your game?”

Focus: Academic Alignment Copy

Vision & Success

“Beyond the 90% user satisfaction target, what would be the ultimate indicator of success for you once you return to Chile to implement this methodology?”

Focus: Success Metrics Copy

“You’ve expressed a desire to be a ‘skilled bridge between the public and private sectors.’ How does this research portfolio position you to navigate that tense relationship?”

Focus: Long-term Career Goal Copy

“If you could have players reach one ‘impossible agreement’ today through your game, what would it be?”

Focus: Impact Aspiration Copy

Expertise Spectrum

Simulation Games & Anticipatory AI

KID The Sandbox Challenge

The Big Problem

Imagine you and your friends find a giant box of toys. You want to use building blocks to make a beautiful, quiet park, but your friend wants to use the big toy trucks to dig for buried treasure. If you build the park, there is no room for the trucks. In Chile, grown-ups have this same problem: some want to mine for treasure (copper), while others want to protect nature. They sometimes find it hard to share, leading to big arguments.

The Game Solution

To help them learn how to share, we use a special board game. Everyone “pretends” to be someone else—a mining boss might pretend to be a neighbor. By playing different roles, they can understand how others feel before making real-life decisions.

The Smart Robot Helper

We also have an AI “robot friend” that acts like a magic crystal ball. It looks at the game and says, “If you choose this path, the trees might not have enough water later.” This helps everyone see the future so they can make a plan where no one gets hurt.

TEENAGER Real-World Strategy

The Mining Conflict

In Chile, mining is a major driver of national development, but it often clashes with environmental protection and local communities. This creates a “socio-environmental conflict” where different groups all want different things for the same piece of land.

Beyond Entertainment

This is a professional tool designed to build empathy. In the real world, a bad decision can ruin a river; in this simulation, stakeholders can test different strategies without real-world damage, learning how to cooperate through “collective intelligence.”

Predicting the Future with AI

The AI serves as a high-tech simulator programmed with real environmental laws and scientific facts. When players reach an agreement, the AI predicts the long-term consequences. It tells the players if their deals will actually work or if they need to go back to the drawing board.

UNDERGRAD Governance Models

Methodological Shift

The project advocates for a transition from traditional top-down approaches to horizontal and participatory approaches. This model ensures that all parties, from local residents to corporate executives, have a meaningful role in the decision-making process.

The Role of RPGs in Management

Awareness and Empathy: participants assume different roles to understand constraints outside their own.
Low-risk Decision-making: providing a controlled environment for policy experimentation.
Innovative Strategy: facilitating creative solutions for “wicked problems” with no easy answer.

The AI Component

The AI functions as an “anticipatory governance tool.” Specifically equipped with the legal and regulatory knowledge of the territory, it bridges the gap between the game and actual policy by ensuring any consensus is grounded in scientific reality.

GRADUATE Research Design

Theoretical Foundations

Synthesized from Simulation Games Theory, Public Policy, and Social Cohesion. The project investigates how creative methodologies move governance toward inclusive, participatory structures.

The 6-Phase Research Design

1. Fieldwork Definition: Identifying specific Chilean territories with early-stage conflicts.
2. Baseline: Collecting qualitative and quantitative socioeconomic indicators.
3. AI Engine: Developing the neutral mediator predictive simulator.
4. Prototype: Design of the physical game and digital interface.
5. Testing: Empirical testing until 90% stakeholder satisfaction is achieved.
6. Launch: Validating findings into formal policy recommendations.

EXPERT Systems & Policy

Collaborative Governance Logic

It applies “integrative bargaining” frameworks to move stakeholders away from adversarial, zero-sum mentalities toward value-creating negotiations. The methodology challenges extractive-only models using participatory dynamics.

The Technical Mechanism

The AI integrates scientifically sound baselines (water demand, pollution, waste). By processing qualitative inputs, it evaluates the “fidelity” of agreements against regulatory standards, providing a foundation for “collective intelligence.”

CORE MODULE	ALIGNMENT FOCUS
Negotiation	Integrative bargaining for value-laden disputes.
Env. Governance	Stakeholder standards & scientific baselines.
Local Dev	Capacity for community-driven governance.

Governance Spectrum

AI-Enhanced Simulation Games for Mining Conflict Resolution

Focus: Understanding Harmony

The Big Problem

Imagine you and your friends find a giant box of toys. You want to use building blocks for a park, but your friend wants big toy trucks for treasure digging. If you both start at once, things get knocked down! In Chile, grown-ups have this same problem: sharing land between mining treasure and protecting nature is hard, and they sometimes get into big arguments.

The Game Solution

To help them learn to share, we use a special board game. Everyone “pretends” to be someone else. A mining boss might pretend to be a neighbor. By playing these roles, they can understand how others feel before making real-life decisions.

The Smart Robot Helper

We have a “smart robot friend” (AI) that acts like a magic crystal ball. It looks at the game and says, “If you choose this path, here is what happens to the trees later.” It helps everyone see the future so everyone stays friends.

Focus: Stakeholders & Stated Impact

The Mining Conflict

In Chile, mining drives the national economy but often clashes with environmental protection and local needs. This creates “socio-environmental conflicts” where government, companies, and citizens compete for the same land.

Beyond Entertainment

This isn’t a normal video game. It’s a professional tool designed to build empathy in a “low-risk” environment. Stakeholders can test different strategies without real-world damage, learning to cooperate through collective intelligence.

Predicting the Future with AI

The AI acts as a high-tech simulator programmed with real laws and scientific facts. It predicts the long-term consequences of agreements, letting players know if their deals are truly sustainable or if they need to rethink.

Focus: Participatory Governance

The research explores how simulation board games integrated with **”Anticipatory AI”** can strengthen collaborative governance and consensus-building in Chile. It advocates for a shift from top-down methods to horizontal, participatory approaches.

The Role of RPGs

Awareness & Empathy: Understanding stakeholder constraints outside one’s own.
Low-risk Decision-making: Controlled experimentation before implementation.
Innovative Strategy: Discovering creative solutions for “wicked problems.”

The AI Component

The system functions as an anticipatory tool equipped with local legal and regulatory knowledge. It bridges the gap between gameplay and actual policy by ensuring consensus is grounded in scientific reality.

Focus: Methodological Rigor

Theoretical Foundations

Synthesized from Simulation Games Theory, Public Policy, and Social Cohesion, the project investigates how creative methodologies move governance toward inclusive, participatory structures.

The 6-Phase Design

1. Fieldwork: Identifying early-stage mining conflicts.
2. Baseline: Qualitative and quantitative data collection.
3. AI Engine: Developing the neutral mediator predictive simulator.
4. Prototype: Designing physical and digital interfaces for the ecosystem.
5. Testing: Refinement until achieving a 90% stakeholder satisfaction target.
6. Launch: Validating findings for formal policy recommendations.

Focus: Systematic Analysis

This research Addresses “integrative bargaining” frameworks to move stakeholders away from zero-sum mentalities. It utilizes **Anticipatory AI** to project long-term environmental outcomes based on scientific baselines (water demand, pollution, waste).

Core Module	Research Focus & Alignment
Public Negotiation	Integrative bargaining and multi-party frameworks.
Env. Governance	Responsible investment and scientific baselines.
Local Development	Decentralized community-driven governance models.

Policy Implications

As a form of **Democratic Innovation**, the study aims to institutionalize these methodologies into formal participatory public policy design, fostering resilience in extractive contexts.

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