Tag: data-science | ArchDaily

Rethinking Architecture at the Scale of Planetary Systems

Diogo Borges Ferreira — Tue, 17 Mar 2026 04:00:00 +0000

Architecture has traditionally been described as a discipline concerned with space, form, and material presence. Yet this understanding becomes increasingly limited when confronted with the conditions that shape contemporary construction. Buildings no longer emerge from a stable relationship between site, program, and material. Instead, they are produced within a dense web of technological systems that operate across territorial, ecological, and temporal scales. Energy networks, data infrastructures, extraction processes, and global logistics shape architecture as decisively as climate or urban context.

Becoming a City Scientist: How to Draw Urban Spaces with Data

Olivia Poston — Thu, 11 Sep 2025 04:00:00 +0000

City Science, a rapidly expanding profession, is the scientific study and engineering of urban systems. It uses advanced technologies, big data, and complex systems physics to tackle challenges such as decarbonization, mobility, and livability. At its core, city science is about data-driven solutions. It employs statistics, modeling, and artificial intelligence to reveal the hidden dynamics of cities, from energy use to human movement. It employs strategies that reduce carbon emissions, enhance efficiency, and foster urban environments that are more sustainable and resilient.

AI and Architecture Software at AIA25: From Code to Concrete in the Digital Future

Enrique Tovar — Tue, 10 Jun 2025 07:30:00 +0000

The future of architecture isn't just being drawn—it's being coded. Since mathematician John W. Tukey coined the term "software" in 1958 in The American Mathematical Monthly, its influence has steadily expanded, from revolutionizing science and engineering to quietly transforming architecture. What was first embraced as an innovation for structural calculations and drafting has since revealed a much broader potential, becoming a creative driver in architectural narrative and practice.

AI, Data, and Predicting Urbanism: Interview with Peter Hirshberg and Anna Fedorova

John Marx, AIA — Wed, 22 May 2024 03:30:00 +0000

This article is the ninth in a series focusing on the Architecture of the Metaverse. ArchDaily has collaborated with John Marx, AIA, the founding design principal and Chief Artistic Officer of Form4 Architecture, to bring you monthly articles that seek to define the Metaverse, convey the potential of this new realm as well as understand its constraints. In this feature, architect John Marx interviews Peter Hirshberg, chairman, and Anna Fedorova, principal at the Maker City Project.

How Can Data and AI Improve the Health of Our Cities?

Marianne Sibaud — Sat, 12 Mar 2022 07:30:00 +0000

Artificial intelligence systems endeavor to replicate or mimic human intelligence by combining datasets with iterative processing algorithms to learn from patterns and experience. From Siri, Alexa and other smart assistants to conversational bots and email spam filters, what once seemed like a technology pulled from science fiction has become ubiquitous in our daily lives.

Clayton Miller on Data Science in Architecture: "the Academic and Industrial Field are Just Starting"

Fabian Dejtiar — Wed, 28 Oct 2020 05:00:00 +0000

Clayton Miller is an Assistant Professor at NUS, part of BUDS Lab, a scientific research group that leverages data sources from built and urban environments to improve energy efficiency and conservation, comfort, safety, and satisfaction of humans. He holds a Doctor of Sciences from the ETH Zürich, an MSc. (Building) from the National University of Singapore (NUS), and a BSc. Masters of Architectural Engineering (MAE) from the University of Nebraska - Lincoln (UNL).

Empathy in Design: Measuring How Faces Make Places

Ann Sussman & Janice M. Ward — Fri, 03 Jul 2020 03:30:00 +0000

This article originally appeared in The Genetics of Design and was then republished by Common Edge.

Labour in the Documedia Age

Maurizio Ferraris — Sun, 28 Jun 2020 06:00:00 +0000

In 2013, Michael Osborne and Carl Benedikt Frey ranked 702 occupations according to their probability of computerisation in the near future, from least probable (“recreational therapist”) to most probable (“telemarketers”). "Architectural and Engineering Managers” was ranked seventy-third, and “architects” eighty-second, while “architectural and civil drafters” ranked three-hundred and fifth. Clearly, technological advancements in fields such as machine learning and robotics are rapidly confronting us with issues of changing professional demand and qualifications. In this essay, Maurizio Ferraris turns the table on us: what if what we should be concerned with is not maintaining the human element in labor as production, but rather recognising human labor as consumption? Expanding on the arguments of his 2012 book, “Lasciar tracce: documentalità e architettura,” the author sees in automation an extraordinary opportunity in defining a renewed centrality of the human element, as the production of value associated with digital exchange is read through the three concepts of invention, mobilization and consumption.

Building Empathy: Zarith Pineda on Human-Centered Design and New Territories

Eric Baldwin — Mon, 09 Mar 2020 04:00:00 +0000

Human-centered design places people at the center of our cities. Using this philosophy to rethink traditional approaches to planning, the architectural and urban designer Zarith Pineda founded Territorial Empathy. Pineda's research lab specializes in mitigating urban conflict through architectural interventions. Over the last few years, her team has been working to create a deeper understanding of equity and empathy.

Harvard GSD Student Envisions Autonomous Building that Rearranges Spaces Throughout the Day

Jack McManus — Sat, 26 May 2018 09:30:00 +0000

As self-driven cars are being introduced to our city streets and tech companies have expanded their influence far beyond the boundaries of our computer and smartphone displays, a new generation of architects are charged with imagining how to employ the technology of tomorrow in ways that will advance and improve the world’s built environments. With autonomous transportation, virtual and augmented reality and artificial intelligence promising unprecedented tools for revolutionizing human infrastructure in a future that no longer feels particularly distant, present-day data gathering and analysis capabilities have already transformed our ability to understand trends on an unforeseen scale.

Amazon HQ2: Study by Data Science Experts Names Washington DC as Ideal Host City

Zoya Gul Hasan — Tue, 07 Nov 2017 07:30:00 +0000

Amazon’s open call for bids for its new headquarters, HQ2, closed last month, but in the months leading up to the final decision in 2018, analysts will continue to flood the internet with detailed studies evaluating who they believe should be the winner. In other words, the mirror-mirror-on-the-wall game for cities is just starting to warm up.