The seminar will cover best practices for BIM collaboration and troubleshooting, information management across data modalities and proprietary software, bridging customisation and standardisation workflows, and the automation of tasks in data-processing pipelines, with an emphasis on how these can be applied to real-world projects.


Syllabus

The rapid growth of digital technology in the AEC industry has significantly transformed the way stakeholders interact with one another. Today, teams are collaborating remotely more often, using a multitude of tools and software, and frequently running into issues caused by incompatible workflows and unique requirements from each discipline. This shift has made it even more important to create and manage effective collaboration strategies. It is essential that we ask ourselves: how can we design workflows, interoperability systems and data sharing pipelines for seamless collaboration?


Source: parametricmonkey.com

We find ourselves at a crossroads where both customisation and standardisation of workflows are necessary to meet the flexible and adaptable requirements of teams, but also to ensure that a common language is understood by all. This course is designed to give students the skills to custom-design and coordinate better cross-disciplinary workflows. 

The seminar will explore tools such as Speckle Systems, BIM Collaboration Format (BCF), Common Data Environment (CDE), International Foundation Class (IFC), Global Information Tracker (GIT) and various related Python based APIs. It will cover best practices for BIM collaboration and troubleshooting, information management across data modalities and proprietary software, bridging customisation and standardisation workflows, and the automation of tasks in data-processing pipelines, with an emphasis on how these can be applied to real-world projects.

Learning Objectives

The course aims to offer the following learning objectives:

  • Identify and address the challenges of cross-disciplinary work and data sharing between different platforms;
  • Recognize how to bridge customisation and standardisation in digital collaboration;
  • Learn how to design workflows and interoperability schemes;
  • Implement best practices for BIM coordination and troubleshooting;
  • Develop an understanding of the opportunities for task automation and data processing in the AEC.

Course Structure 

Session 1: Collaboration in the AEC

Session 2: Data Exchange

Session 3: Colab Environments

Session 4: BIM Applications

Session 5: Data Pipelines

Session 6: Automation

Session 7: Project Reviews

Session 8: Pinup Session


Faculty


Faculty Assistants


Projects from this course

Harnessing Data-Driven Design: A Collaborative Look at Hyper B’s Industrial Team Vision for Urban Farming

Industrial team dedicated to rethinking how we approach urban farming, renewable energy, and multifunctional infrastructure, is leading the charge. Their integrated workflow uses parametric modeling, automated data exchange, and business intelligence (Power BI dashboard) to optimize space usage and resource allocation in urban environments. In this post, we dive into a series of visuals that … Read more

COLLABORATIVE WORKFLOW | HYPER A | STRUCTURE

This project was developed as part of the Collaborative Workflows course, which ran in parallel to our main Studio project. In the Studio, we worked in teams to design a Hyper Building—a complex, multi-neighborhood architectural system. As the Structural Team, our responsibility was to design and coordinate the structural system supporting the building. The Collaborative … Read more

Automated Structural Workflow

Introduction As cities grow denser and architectural ambitions soar, the need for efficient, scalable, and optimized structural systems becomes paramount. The HyperB Structural Team has developed an advanced collaborative workflow that leverages automation, computational design, and data-driven optimization to enhance the efficiency and feasibility of hyper-building structures. This article delves into the HyperB Structural Team’s … Read more

HyperBuilding A – Data Team Collaborative SlackBot

Project Statement For our Collaborative assignment, we created a Slackbot that sends teams weekly or daily updates on their metric health and an abbreviated summary of the project.  Project Context The Data Team was responsible for the management of data flow and organization throughout the process, ensuring other teams could navigate through the dashboard and … Read more

Collaborative Workflows: HyperA’s Data Sharing Approach

PROJECT OVERVIEW We applied 3D space syntax to distribute functions within each neighborhood based on distance and spatial requirements. Using Voronoi-based massing in collaboration with the Structure Team and macro adjacency matrices, we introduced eight neighborhoods within a 1km² building, creating a 24/7 active “city within a city.” These neighborhoods were refined with the Facade … Read more

Collaborative Workflow: Hyper A – Residential Team

Collaborative Workflows

Intro Our Residential Team creates innovative, sustainable, and functional residential spaces within the Hyper Building, emphasizing quality of life, community, and modern living. Our vision is to integrate efficient living solutions with smart design strategies that support walkability, connectivity, and environmental well-being. We aim to create a dynamic, self-sustaining vertical neighborhood where people can live, work, and socialize seamlessly. Who … Read more

Data Handling and Collaborative Workflows: Hyperbuilding-B Data Team

Our BIMSC studio project centers on designing a ‘hyperbuilding’ in Tokyo’s Minato Ward—a self-sustaining development that integrates closed-loop ecological systems like on-site food production, photovoltaic energy generation, and industrial modules. The building includes mixed-use zones for amenities, services, and commerce, all anchored by a transit hub built into a podium above Shinagawa Station, supporting the … Read more

Collaborative Workflows: Hyper A – Facade

Collaborative Workflows and Techniques for Façade Design . We explored both internal and external collaboration strategies with all design teams at HYPER A. Our team focused on three key areas: adaptive façades, energy efficiency, and smart architectural systems. To guide our design process, we established clear performance metrics, including Daylight Factor, Panelization strategies, and Energy … Read more