Climate change is not just a scientific or environmental challenge; it is a data challenge. As governments and organizations race to design effective climate policies, the ability to collect, analyze, and interpret data has become the heartbeat of informed decision-making.
In my conversation with Natalia Garzón Vargas, an economist and sustainability specialist, we explored how data science, public policy, and finance intersect to shape real-world climate action. With experience spanning government, consulting, NGOs, and academia, Natalia offers a unique perspective on how data can move beyond spreadsheets and drive tangible impact.
From Economics to Climate Policy
Natalia’s journey into climate work began in university as a research assistant in the economics department. Working under a supervisor focused on environmental and social issues sparked her initial interest in sustainability.
From there, her career evolved alongside the global rise of ESG (Environmental, Social, and Governance). Over time, she recognized a clear systemic need: the environmental sector requires “bridge” professionals, people who can translate technical, granular analysis into practical policy implementation.
Turning Data into Action
A key theme in Natalia’s work is transforming raw data into actionable insights.
In practice, this involves designing and improving tracking tools that monitor project indicators and goals. In her current role at Fundacion Natura, working on the Capacity-Building Initiative for Transparency (CBIT) Colombia, she has developed systems that optimize data collection and analysis while supporting decision-making for key stakeholders.
Rather than simply producing reports, her work focuses on enabling action, ensuring that data informs real policy and project decisions.
The Core Challenge: The Gap Between Data and Decision-Making
Despite the growing mountain of available data, Natalia emphasized that a major barrier remains: the implementation gap. Even when strong analysis exists, it is often difficult to translate complex statistical models into clear regulatory decisions or financing strategies. One of the biggest hurdles is the lack of accessible, real-time visualization tools that align with actual policy cycles.
Bridging this gap requires more than technical expertise. It demands the ability to communicate insights clearly to non-technical stakeholders, structured thinking to approach complex problems rigorously, and alignment to ensure data outputs match the timing and needs of policymakers.
Improving Climate Transparency Through Data
In her work with the CBIT project, Natalia focuses on improving climate accountability and transparency.
By implementing automated tracking tools, she has helped create systems that monitor climate-related indicators more effectively. These tools not only improve data quality but also make climate information more accessible, allowing stakeholders to better understand progress toward mitigation goals.
At its core, this work highlights an important idea: transparency is not necessarily just about collecting data, but about making it usable and actionable.
The Role of Technology in Climate Policy
Natalia highlighted how modern tools such as Python, SQL, and machine learning are transforming climate work.
Compared to traditional methods like spreadsheets, these technologies enable:
- Faster and more efficient data processing
- The ability to handle large and complex datasets
- Predictive modeling for policy and financial decision-making
- Real-time dashboards and interactive visualizations
Machine learning, in particular, allows for moving beyond descriptive statistics toward predictive insights, which can improve project financing strategies and impact evaluation.
These tools are not just technical upgrades; they fundamentally change how climate decisions are made.
Lessons from Working Across Sectors
Having worked in government, consulting, NGOs, and academia, Natalia has seen firsthand how different sectors approach climate action.
- Government focuses on regulatory frameworks and large-scale policy impact
- Consulting prioritizes efficiency, cost-benefit analysis, and risk assessment
- NGOs emphasize accountability and project-level impact
- Academia values rigorous, peer-reviewed research
Each sector brings strengths and limitations.
Natalia emphasized that collaboration across these sectors is essential. Governments can learn from NGOs about transparency, NGOs can adopt analytical tools from consulting, consulting can benefit from academic rigor, and academia can align more closely with real-world policy timelines.
Climate Finance: A Double-Edged Sword
Financial systems play a critical role in determining the speed and scale of climate action.
Natalia pointed to tools like green bonds, which can channel investment into renewable energy, sustainable infrastructure, and climate adaptation projects. When functioning effectively, financial systems can accelerate climate solutions by directing capital where it is most needed.
However, they can also slow progress. Issues such as risk mispricing, volatility, and lack of transparency can hinder investment in climate initiatives.
Ultimately, financial systems must fully account for environmental and social impacts to effectively support sustainable development.
Rethinking How Governments Use Data
When asked how governments could improve their use of data in climate decision-making, Natalia identified three key priorities:
- Improve Data Integration Across Systems
- Many data tools remain siloed within individual agencies. Creating interoperable systems would allow data to flow more effectively across institutions.
- Strengthen Regional Collaboration
- Climate change is a global issue, and isolated national efforts are not enough. Stronger coordination among countries, especially in regions such as Latin America, is essential.
- Increase Accountability for Major Emitters
- Even the best local policies cannot succeed without global cooperation. Natalia emphasized the need for shared metrics, open-access dashboards, and international monitoring frameworks to ensure that major polluters are held accountable.
- Even the best local policies cannot succeed without global cooperation. Natalia emphasized the need for shared metrics, open-access dashboards, and international monitoring frameworks to ensure that major polluters are held accountable.
Advice for Students Entering Climate Work
For students interested in climate, data science, or policy, Natalia emphasized the importance of building both technical and soft skills.
She highlighted four key areas:
- Analytical thinking to solve complex and ambiguous problems
- Technical skills such as Python, SQL, and data visualization tools
- Communication skills to translate technical findings into clear insights
- Collaboration across disciplines and sectors
Above all, she stressed the importance of approaching problems with structure and adaptability, especially when working in policy environments where uncertainty is common.
Looking Ahead
Natalia’s work illustrates a broader shift in the climate space: data is no longer just a supporting tool; it is central to how climate solutions are designed, implemented, and evaluated.
But data alone is not enough.
The real challenge lies in transforming insights into action, bridging the gap between analysis and decision-making, and ensuring that climate policies are not only informed but effective.