Genesis Lab is one of the Research Facilities of the Faculty of Architecture & Built Environment @ TU Delft and Design Informatics; it is a laboratory for researching and developing physical, mathematical, and computational modules for generative design-build systems and design games. The lab focuses on digital design applications ranging from design optimization to industrial mass-customization in use-cases such as affordable quality housing.

Hack the Planet
Image Credit: Grid Sage Games

Generative Design


{Simulation-Driven, Gradual, Transparent, Explainable, and Reproduceable}

‘Combinatorial Generation’


{a Navigable Cataolgue of Valid/Optimal Design Alternatives}

Image Credit: Genesis Lab
Architectural Design & Planning Problems typically involve challenging requirements, constraints, and competing goals pertaining to social, economic, and environmental values as well as human factors, spatial ergonomics, and comfort that bring about both physical and human complexities. Furthermore, balancing the suitability of solutions with respect to the expected operational functionality of spatial configurations & forms and their adaptability towards future requirements are often challenging. A particular area of attention, where such design problems culminate in complexity and count at a considerable scale, is qualitative mass-customization of housing. Being able to guarantee the quality of design alternatives while satisfying such a complex plethora of demands and considerations necessitates a transparent, explainable, and reproducible scientific approach capable of understanding the dynamics of physical and human complexity of design decision-making. Research and Development in “Generative Systems & Sciences'' revolves around mathematically or computationally modelling the human-physical complexity of design & spatial decision-making as well as promoting the idea of scientific design as open and modular participatory processes of scientific discovery and innovation. The general quest of this line of inquiry is to develop interactive/gamified spatial, multi-criteria, and multi-actor Generative Design Decision-Support Systems to contribute to the open-source development of equitable, circular, and sustainable buildings and cities. Generative Sciences, as interdisciplinary approaches based on Network Models, are suited for simulating the interactions of intricate webs of inter-related spaces, criteria, actors, and values; and as such, provide a basis for understanding and controlling the formation of patterns and emergence of collective decisions in Digital Twins. Generative Systems, as simulation systems (possibly human-machine hybrids), can provide mechanisms for logical transitions from design requirements, considerations, and values to suitable and adaptable design alternatives.
Image Credit: Definition, Scope, and focal areas of Innovation, Research, and Development in Generative Design using Generative Sciences (Methodologies) and Generative Systems (Technologies) by Pirouz Nourian
"A form is only a single solution to a problem that could have had many more solutions. The problem is thus more interesting that the solution because it has a richer information content."
Generative Design processes are simulation-driven and topological/configurative optimization/adaptation processes for combinatorial generation of navigable catalogue of valid/optimal design alternatives. Generative Sciences are interdisciplinary approaches to the study of Complex Systems based on Network Models, Dynamical Systems, Agent-Based Models, Stochastics, Nature-Inspired Computing, and Partial Differential Equations that focus on the emergence of patterns and genesis of Collective Intelligence (Natural + Artificial Intelligence) in Self-Organized Systems.
Image Credit: Genesis Lab

Which topics from Mathematics?

  • Linear Algebra;
  • Graph Theory;
  • Algebraic Topology;
  • Computational Geometry;
  • Differential Geometry;
  • Numerical Computing;
  • Operations Research

Which topics from Computer Science?

  • Spatial Data Models;
  • Spatial Computing Algorithms;
  • Numerical Computing;
  • Scientific Computing;
  • Metaheuristics;
  • Machine Learning;

Which topics from Linguistics?

  • Generative Grammars;
  • [Space] Syntax;
  • [Architectural] Morphology;

Which topics from Design Domain Sciences?

  • Utilitas;
  • Firmitas;
  • Venustas;
  • ……..;

Image Credit: Genesis Lab

Final Growth
Credit: Back to the Future "If our calculations are correct, when this baby hits 88 miles per hour, we are going to....."😀