Data-driven Sustainability Strategy

How I led diagnostics, stakeholder engagement and SDG analytics to create the University of Aysén’s sustainability roadmap

Overview

In 2023, the University of Aysén hired my consultancy, Realiza, to design a comprehensive sustainability strategy. I led the diagnostic, stakeholder engagement and data analysis process that mapped the university’s academic, operational and research activities against the UN Sustainable Development Goals, and translated that into a concrete management model for decision-makers.

Challenges

The university had sustainability scattered across departments, with no shared metrics, no integrated data, and no decision-making framework. Leadership knew sustainability was important, but they didn’t know where they stood, what mattered most, or how to prioritize actions.

My Role

  • Coordinate the consulting team
  • Designing the diagnostic methodology
  • Facilitating stakeholder workshops
  • Building and cleaning the datasets
  • Analyzing SDG alignment
  • Producing the visualizations and final strategic model

Methodology

1. Stakeholder-driven diagnosis

I ran in-person workshops (World Café) with students, faculty and territorial actors to capture how sustainability was understood and practiced across the ecosystem. I processed, analyzed and visualized the results.

2. Data-driven SDG mapping

I built and cleaned a publications and research database, then classified it using international SDG criteria (Jayabalasingham et al., 2019) with Python, SQL and AI-assisted tagging. The results were turned into visual dashboards using Illustrator and RAWGraphs.

3. Strategy & management model

I translated both qualitative and quantitative insights into a sustainability management model that the university could actually operate.

Results

1. 50% of publications aligned with at least one SDG, revealing a much stronger research impact than leadership expected.

2. High engagement from the university community, turning sustainability from an abstract idea into a shared agenda.

3. A concrete sustainability management model now used as a roadmap for decision-making and reporting.

4. Clear visualizations that allowed non-technical stakeholders to understand complex sustainability data and its relation with other strategic goals.

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