[Bldg-sim] TAD - Technology| Architecture + Design, Call for Papers Issue 2

Tue Nov 1 08:34:30 PDT 2016

Dear Colleagues,

I am posting this call for papers on behalf of the editors of the 
Journal of TECHNOLOGY | ARCHITECTURE + DESIGN (TAD). TAD is a new 
journal which aims to bridge work between the simulation work and the 
design world. Please consider submitting any relevant work!

Warm regards,

Alstan

-- 
J. Alstan Jakubiec
Assistant Professor
Architecture and Sustainable Design
Singapore University of Technology and Design
8 Somapah Road, Singapore 487372
telephone: +65 6499 4530, e-mail: john_jakubiec at sutd.edu.sg
Design for Climate and Comfort Lab <http://asd.sutd.edu.sg/dcc/> | 
profile <http://asd.sutd.edu.sg/faculty/j-alstan-jakubiec/> | DIVA 
<http://diva4rhino.com/> | Opaque Materials Database 
<http://lighting-materials.com/>

Dear Colleagues,

The Editorial Board of the Journal of *TECHNOLOGY | ARCHITECTURE + 
DESIGN (TAD) *announces the Call for Papers for ISSUE 2 – *SIMULATIONS. *

This publication will be of value to yourself and your colleagues and we 
encourage the wide circulation of this announcement.

We look forward to receiving your papers – *DEADLINE MARCH 1^st , 2017. *

*ISSUE 2.0: Simulations: Modeling, Measuring, and Disrupting Design*

*Download the Call for Papers*: 
http://tad-journal.org/documents/TAD_SimulationsCfP_20160721.pdf

The simulation of physical reality is a necessary preoccupation of the 
architect, engineer, builder and systems specialist. For centuries, 
simulations have existed in the form of heuristic techniques used in 
establishing rules of thumb for architecture and design. These drawings, 
physical mock-ups, models, and other forms of mediated representations 
were surely satisfactory, but rarely optimal. In the twenty-first 
century, architecture benefits from the availability of near-immediate 
performance simulations executed during the design process and enabled 
by advanced computation software and rapid prototyping. In this context, 
prescriptive codes and standardization give way to hybrid models that 
integrate design goals, site and climate conditions, available 
resources, and building systems. Whether used for construction 
sequencing, parametric design comparisons, or structural, lighting, air 
flow and energy analysis, these simulations generate large amounts of 
complex performance data requiring a rigorous interpretation of results.

All good simulation models however, —whether made of sticks or 
bits—necessarily simplify in order to isolate and test relationships. 
Increasingly, digital simulation platforms operate as scripted add-ons, 
linking simulation engines to design software and embedding default 
values for building-based parameters. So doing, they rapidly generate 
performance data albeit with less user specified information. Feedback 
is immediate, results are plentiful, and queries are customizable, even 
when user expertise is limited. And while it appears the integration of 
data and performance in design has never been more accessible, the 
process is also more susceptible to false results from incorrect 
parameters and the blind acceptance of black box output. As we embrace 
the role of simulations in supporting generative design, we invite a 
critical evaluation of their assumptions, fidelity, limits, and potentials.

Designing increasingly smarter, integrated, and efficient systems 
requires a nuanced understanding of the benefits and constraints of 
simulations. How might we assess whether they truly result in better 
performing buildings? Rarely studied post construction and almost never 
evaluated from the perspective of end-users, how do we know if completed 
works of architecture actually perform to their simulated measures? What 
are the standards by which we might validate and establish consensus for 
parameters needed to construct increasingly elaborate models? How might 
methodologies in collateral fields inform our approaches to 
architectural simulations? And most critically, in what way are 
designers expanding the objectives of a practice historically driven by 
engineering economy? Beyond measuring “efficiencies”, how can 
simulations disrupt the process of design itself by transforming the 
very way in which we communicate, collaborate and legislate? And how 
might simulations help us define and generate improved architectural 
outcomes?

TAD (TECHNOLOGY | ARCHITECTURE + DESIGN) Issue 2, seeks empirical 
research, creative design, and critical theory manuscripts that 
investigate the role of simulations in the built environment. The issue 
aims to question the full spectrum of methodologies, models and 
measurement paradigms attendant to simulations of the built environment. 
It is equally committed to investigating the potential of this 21st 
century technology to disrupt the very practice of design

------------------------------------------------------------------------

*TECHNOLOGY | ARCHITECTURE + DESIGN***is a peer-reviewed international 
journal dedicated to the advancement of scholarship in the field of 
building technology, with a particular focus on its translation, 
integration, and impact on architecture and design. TAD solicits, 
captures, and shares new knowledge in how we think, make and use 
technology within the building arts. Published articles feature primary 
research in emerging materials, construction techniques, design 
integration, structures, building systems, energy, environmental design, 
information technology, digital fabrication, sustainability and 
resiliency, project delivery, the history and theory of technology, and 
building technology education. Aimed at researchers, educators, and 
practitioners, the journal advances and transforms the current discourse 
on building based technologies with the goal of expanding, reimagining 
and challenging its role for architecture and design.

Contact us with questions at */editors(at)tadjournal(dot)org/*//and 
visit */TADjournal.org/* for more information. If you would like to 
serve as a paper reviewer, please sign up on our database: 
http://tad-journal.org/Volunteer.html

*Editorial Board *

Caryn Brause, University of Massachusetts Amherst

Chris Ford, Stanford University

Kyle Konis, University of Southern California

Clare Olsen, Cal Poly, San Luis Obispo

Jeana Ripple, University of Virginia

Franca Trubiano, University of Pennsylvania

Marci Uihlein, University of Illinois at Urbana-Champaign

Andrzej Zarzycki, New Jersey Institute of Technology

/Apologies in advance for any cross listings. /

*Franca Trubiano*

*TAD Editorial Board *

http://tadjournal.or <http://tadjournal.org/>g

University of Pennsylvania,

trubiano at design.upenn.edu <mailto:trubiano at design.upenn.edu>

http://franca-trubiano.squarespace.com 
<http://franca-trubiano.squarespace.com/>

http://www.design.upenn.edu/architecture/graduate/people/franca-trubiano

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