Clients, funding, consultants, contracts–architects are enmeshed in financial mechanisms that forever remind us of our direct reliance on local and global economies. Money talks and architecture follows: our work articulating the interests of those served while fluctuating with the rapidity of the market. And while this relationship may be fixed, perhaps we can find ways to resist its normative logics, which exacerbate social inequalities and consolidate power in the hands of the few and the privileged. This workshop will explore alternative economies and financial arrangements through the the lens of queer practice, with its history of instrumentalizing the language of power against itself, to find ways to re-code capitalism’s tendencies, desires, and outcomes.

We will ask whether in addition to designing architecture, we can also design the market that demands architecture–to produce economic scenarios under which we might build. Each week we will pair readings in economic anthropology (studying how economies are shaped by behavior, cultural values, and social relationships) and queer theory (identifying strategies of planned failure, makeshift assembly, and re-orientation) to invent atypical demand-chains, work against models of optimal performance, and instrumentalize culture to undercut efficiency. We will look at how we might produce clients, programs, and actor networks rather than responding to the whims of the market. We will consider how we might think of economic arrangements as tools for designers.

We will read, write, and compile a compendium of case studies for a publication on the topic. Students are encouraged to find broad reaching examples–from the domestication of post-war military technology to the proliferation of sharing economies to recent trends in reuse and the circulation of materials. We will focus on buildings, materials, and products, largely drawn from North America in the 20th and 21st centuries, but may also look further afield. And while queerness provides a shared framework for the workshop, students are encouraged to consider analogous lenses through which we might rewrite the relationship between practice and service. The course will focus on real examples of immaterial and material phenomena, inventing new languages and representational strategies along the way.

*A workshop not just for queer students, but for students curious to work with queer intention.

The Deep Time Project aims to expand architecture timescales of perception seeking to re-position architecture as a more sensitive response to its environment. The course is structured around an interdisciplinary series of guest lectures, screenings, readings and precedent analysis on time literacy with particular focus on art and philosophy. Looking at the multiple repertoires of subjectivities and agents involved in the architectural process each student will develop design experiments on time aiming to explore a different constellation of temporalities that architecture must account for.

Undergraduate students welcome!

Units: UG: register for 3-0-6 (9 units)
Units Grad: register for 3-0-9 (12 units)

Drones are providing us with new ways to map, monitor, and measure our changing landscape. Advances in digital image processing enable one to go from flying a drone to working with accurate maps and 3D models in a matter of hours. This course examines the applications of drones in which the aerial perspective can be integrated into architecture, engineering and construction practice. In this course, students will gain hands-on experience with drone vehicles, sensors, image processing software and applications. Students will learn how to use drones to help them better understand our changing environment. With the proliferation of drones there are increasing opportunities to use drones for scientific remote sensing data acquisition and applications. 

This course focuses on understanding the fundamentals behind acquiring imagery data with drone-based cameras (e.g. multi-spectral and thermal) and processing the data for various applications. Students will also get to know the fundamentals of open source and proprietary software packages as they relate to UAV technology, drone operations, flight planning and data collection and management as well as how to integrate resulting data into other software tools such as GIS, BEM and Python libraries. Recognizing the critical role that AI will play in defining the future international competition, many countries now regard AI as a national priority. The United States launched the American Artificial Intelligence Initiative in 2019 with the mission to promote its leadership in AI research, development, and application. One of the eight national strategies identified in this initiative is to “provide education and training opportunities to prepare the American workforce for the new era of AI”.  

In this course, students will go through aerial data processing, mainly data collected from drones, including working with Orthomosaic, Digital Terrain models (DTMs), Digital Surface Models (DSMs), Point Cloud, and 3D mesh modeling. This course will also provide technical and applied knowledge on using drones for building assessment through aerial thermography and the use of UAVs in various applications. The course will also cover the technical foundation of enhanced data processing using AI, including image segmentation and object identification, and feature extraction basics using computer vision techniques in Python. Upon completion of this course, students will have theoretical and applied and technical knowledge that will aid them to use UAVs in various applications. This course is the extended version of Eyes in The Sky Workshop that was offered during IAP 2022, which resulted in 2D mapping of Briggs field and 3D modelling of Simmons Hall at MIT campus. 

Note: this is an H1 (half-term) subject.

In an AI-enhanced future, humans will become better at everything. The machine targets real-world artificial intelligence challenges designed to help address issues related to climate change, and urbanization in cities.

X Machine is an accelerator workshop designed to bring computer science and architecture together to create the most innovative and impactful technology solutions. The program's aim is to provide mentorship and technical support, with a focus on the problem statement and early-stage technology design ideation.