Driven by Energy,
Water & Biodivesity
Urban & Territorial Data Science
For a sustainable world.
Data analytics
Lush, green forest showcasing diverse ecological health and biodiversity Visual representation of ecological data illustrating environmental changes over time Vibrant and colorful toucan perched in its natural eco-friendly environment for conservation purposes.
Ecolonical Lab - Leading Sustainability Research
- Next Water, Energy & Biodiversity - Data, LLMs & AI - Online Events
- Next Water, Energy & Biodiversity - Data, LLMs & AI - Online Events
Our Events: Online talk
Graphical analysis of LLM Ethics and Art in social networks for deeper understanding

Ecolonical LAB is thrilled to extend an invitation to our webinar on AI and Data Trends for 2024. Join us live on Friday, 1 March 2024, at 15:00 (CET) for an insightful session 🚀about the dynamic interplay between environmental, energy and water sectors and the rapidly evolving realm of data science and AI. Secure your spot now and receive our exclusive 2024 predictions report! See you soon!

We focus on

Our Research Program

Data Science & Analytics

Data science is an interdisciplinary field that leverages scientific methods, algorithms, statistics, and various systems to extract knowledge from heterogeneous datasets. By employing rigorous analytical techniques, data science aims to uncover meaningful patterns, insights, and relationships within data. This involves applying statistical analysis, data mining, machine learning, and visualization techniques to explore and interpret complex datasets.

Biodiversity, Water, Energy, Urban & Territorial Systems & Solutions

Combining quantitative approaches as data science and Artificial Intelligence (AI) techniques such as machine learning and deep learning, whit qualitative and social science approaches as design thinking and sociological approaches. This concern the use or not of technology-based solutions for biodiversity, water, energy, utilities and urban / territorial solutions.

Citizen Science for Generative AI Audit

Mycle Schneider took up this definition of citizen science: "Citizen science can be defined as the participatory and combined effort of research, analysis, and public education that strictly pursues, as a basic principle, the goal of collective well-being of present and future generations of beings: humans on the planet and the biosphere."

Eco-Blog Insights

Our Key Focus Areas


Biodiversity & Ecology

We explore the intersection of AI and ecological studies. Apply AI techniques to biodiversity conservation, species monitoring, and ecological modeling.

State of The Art

Our research programs are dedicated to pushing the boundaries of knowledge and staying at the forefront of the field. We continually strive to explore the latest advancements and state-of-the-art techniques in our areas of focus.


Explore innovative solutions, advanced algorithms, and data-driven approaches to revolutionize energy systems.

Urban & Territorial Systems

By combining the power of data analytics, machine learning, and optimization techniques, we strive to create smarter urban/territorial systems that reduce environmental impact.


Advanced data analytics and modeling techniques to understand urban dynamics, transportation patterns, analyze vast urban datasets, and urban system complexity.


AI techniques can enhance water resource management, optimize water distribution systems, and improve water quality monitoring.

Home | Ecolonical LAB: AI-Driven Sustainability & Analytics

A synthesis of the latest advances in data analytics applied to water quality.

* We are an independant research lab
Our offers

Membership Pricing Plans

every month

Eco-Data Explorer*

  1. Quarterly newsletter on environmental initiatives; wildlife protection, and sustainable practices.
  2. Monthly blog posts covering the trends in data analytics, ecology and biodiversity.

Urban-Territorial Data Pro***

  1. 1 Year of Eco-Data Geek offer.
  2. Exclusive newsletter.
  3. AI services.

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