Vol. 11, Issue 2: Adaptable
CfP online: June 15, 2026
Deadline: January 15, 2027
Submissions: https://mc.manuscriptcentral.com/tadjournal
The TECHNOLOGY | ARCHITECTURE + DESIGN (TAD) is pleased to announce the TAD Vol. 11, Issue 2: Adaptable Call for Papers!
To adapt is not merely to adjust but to actively recalibrate form, performance, and behavior in relation to shifting environmental, technological, and social conditions. Within contemporary architecture, being adaptable is increasingly a prerequisite for relevance; an operational stance that allows projects to move beyond static conception toward dynamic, time-based assemblages.
Designers, engineers, and technologists negotiate adaptation through material systems, responsive envelopes, and data-driven processes, situated within the pressures of climate instability, resource scarcity, and rapidly evolving urban demands. Adaptation both expands and constrains architectural possibility through protocols of flexibility, resilience metrics, embedded sensors, and algorithmic logics that are absorbed into education, digital workflows, and professional practice. In emerging technological contexts, adaptation catalyzes speculative and activist design trajectories, reimagining infrastructure as iterative platforms that learn, mutate, and reconfigure their spatial and performative capacities in alignment with changing socio-ecological realities.
This issue of TAD focuses on architectural systems that sense, respond, and evolve, exploring how emerging technologies, environmental imperatives, and shifting social conditions are transforming architecture from a static artifact into a dynamic, learning system across scales, from materials and envelopes to buildings, infrastructure, and urban systems. While adaptive and responsive architecture have long been explored as concepts, contemporary developments mark a significant shift toward continuously learning environments. Today’s architectures are not merely reactive but increasingly predictive, data-driven, and self-optimizing, enabled by advances in artificial intelligence (AI), machine learning (ML), and pervasive sensing. Architecture is increasingly embedded in interconnected networks of sensors, real-time data streams, AI, building automation systems, and feedback loops that enable recalibration. Buildings today monitor their own performance, learn from patterns over time, adapt to changing climatic conditions, anticipate occupant behavior, and operate as active participants within broader ecological and social systems. These developments challenge conventional notions of design completion, authorship, and control, raising new questions about performance, responsibility, and care in the built environment.
This issue advances critical and applied scholarship on adaptable architectural design, technologies, and methodologies. It builds on prior conversations about AI, ML, virtual reality (VR), and mixed reality (MR), digital environmental conditions, sensory and material systems, and performance, while foregrounding adaptation as an ongoing design condition that unfolds across occupancy, maintenance, and environmental change rather than ending at construction. These developments challenge earlier models of responsiveness by introducing new design temporalities—where adaptation is continuous rather than episodic—and by redistributing agency among human and non-human actors. As a result, conventional notions of design completion, authorship, and control are being redefined, raising critical questions about performance, responsibility, and care in an increasingly autonomous built environment.
Contributions may address, but are not limited to, the following questions:
- How do architectural systems learn over time from use, occupants, and environments, and how does this differ from earlier models of pre-scripted responsiveness?
- What design methodologies enable continuous adaptation, prediction, and self-optimization, rather than one-time responsiveness or stabilized solutions?
- How are AI, ML, digital twins (DT), and the Internet of Things (IoT) transforming architecture from rule-based or reactive systems into data-driven, learning environments?
- In what ways do contemporary adaptable systems redefine post-occupancy evaluation as an ongoing, real-time process of feedback, governance, and ethical accountability?
- How can intelligent responsiveness enhance resilience, accessibility, energy performance, and care, particularly through anticipatory and context-aware behaviors?
- What are the environmental, social, and political implications of delegating agency to semi-autonomous or autonomous architectural systems, and how is responsibility distributed across human and non-human actors?
- How do contemporary adaptable architectures operate across scales—from materials and envelopes to buildings, districts, and infrastructures—while remaining interconnected through data ecosystems?
- How do current approaches build upon, extend, or depart from earlier traditions of responsive architecture (e.g., cybernetic, kinetic, or rule-based systems)?
We welcome original contributions addressing the design, theory, history, and implementation of adaptable systems in architecture, engineering, and the built environment. Topics of interest may include, but are not limited to: adaptable and responsive building envelopes and systems; AI, ML, and architectural intelligence; DT and real-time performance feedback; cyber-physical systems and human-in-the-loop design; intelligent materials, kinetic assemblies, and responsive structures; post-occupancy evaluation as a design methodology; ethics, governance, and bias in adaptable technologies; indigenous, vernacular, and low-tech adaptable strategies; resilience, climate adaptation, and architectures of care; and pedagogical approaches to adaptable design and technology.
TAD invites original and innovative research from scholars, practitioners, researchers, and students. Contributions to the issue’s focus area are encouraged, but TAD will consider all papers that align with the TAD mission statement. The journal accepts submissions on a rolling basis, but for consideration in this issue, manuscripts are due before 11:59 pm Eastern Time on January 15, 2027. All manuscripts are double-blind peer reviewed. Manuscripts must follow the standards detailed in the TAD Author Guide, available at https://tadjournal.org/.