ATN MASTERCLASS
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Develop an advanced, practice-ready understanding of environmental design, applying real-world climate data to guide early-stage design through informed, measurable insights.
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The ATN Environmental Performance Masterclass explores how environmental analysis is integrated into computational design workflows. Led by Eliana Nigro at COBE, the course moves from weather data analysis and sun-path studies through to radiation testing and adaptive facade development.
Structured across three focused modules, the masterclass demonstrates how environmental data can be used to quantify, optimise, and inform design decisions from the earliest stages of a project. Emphasis is placed on translating analysis into actionable architectural strategies.
You will develop the ability to evaluate and refine design proposals using measurable environmental criteria, enabling a more informed and performance-driven approach to design.
You will learn how to:
• Analyse weather and comfort data to inform early-stage design decisions
• Conduct sun-path and radiation studies to evaluate building performance
• Develop responsive facade strategies using environmental data
%50
OFF
£TBD
A structured, self-paced course built from the ground up for online learning, available anytime with lifetime access inside ATN’s Netflix-style streaming platform.
Models and scripts can be downloaded from the course.
Pre-recorded masterclass, including project models and complete workflows to support hands-on learning
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Head of Computational Design
Eliana Nigro is an architect, educator, and head of computational design at Cobe, participating in numerous lectures and podcasts, discussing how technology interacts with creative developments. During her professional experience, she has been involved in an extensive range of projects worldwide. She worked for 3XN Architects for four years after completing a post-graduation master’s in advanced design methods.
Before that, she had worked as a consultant for companies, providing services related to AI solutions, 3D modeling, algorithmic modeling, data-driven design, and digital fabrication. She has a background as an academic researcher and is still regularly involved in workshops and conferences concerning the use of digital strategies in architecture. She has been a guest lecturer at universities worldwide, focusing on parametric approaches to face the emergent complexity of architecture through mathematical and geometrical control.
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In the first module, you will learn how to analyse and interpret environmental data to inform design decisions.
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In this module, you will learn how to set up and analyse sun path data to inform design decisions.
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In the final module, you will learn how to evaluate radiation data and apply insights to inform design decisions.
