

AI In Construction: Sustainability and Innovation
Join the Turing Innovation Catalyst Manchester for a morning of insights into the use and development of AI in the construction sector.
Hear how AI is reshaping construction delivery, learn how digital tools and AI can support reduction of carbon footprints, and hear from experts on adopting AI into construction businesses.
This event is part of a wider series delivered in a partnership between the Business Growth Hub, GM Colleges Group, and Turing Innovation Catalyst Manchester. Together, we’re working to make AI and innovation more approachable and relevant for the construction sector.
Agenda
10:00 – 10:20 | Welcome & Registration
Informal arrival, refreshments, and networking.
10:20 – 10:35 | Introduction to Turing Innovation Catalyst – Misha Khan
10:35 – 10:55 | Keynote 1 – Dr Clara Cheung, University of Manchester
Title: From Hindsight to Foresight: How AI Is Reshaping Construction Delivery
10:55 – 11:15 | Keynote 2 – Effa Ettah, Turing Innovation Catalyst
Title: Sustainable by Design: Leveraging Data & AI for Net Zero Construction
Exploring how digital tools, data-driven insights, and AI can support sustainability goals, reduce carbon footprints, and enable circular construction practices.
11:15 – 11:50 | Panel Discussion
Title: From Blueprint to Build: Integrating AI, Sustainability, and Safety in the Built Environment
Panellists:
Dr Nader Virk – Manchester Metropolitan University
Niamh Donovan – Sustainable Ventures
Suyash Pandit – Science and Technology Facilities Council, UKRI
Shanice Katana – McBains
11:50 – 12:00 | Engineering Management & SME Engagement – Dr Saeed Reza Mohandes, University of Manchester
Title: Driving Innovation Adoption: Supporting SMEs Through Engineering Management
A short session highlighting pathways for SME engagement, collaboration opportunities, and support mechanisms.
12:00 – 13:00 | Lunch & Networking
Opportunity for cross-sector engagement among attendees from academia, industry, policy, and the wider construction ecosystem.