About Place Intelligence
Our Mission
We focus on contextualising the use of ‘big data’ within people’s lives – how can it improve their experiences within our built environment, what moments does it enable, who can our insights and recommendations support, how can we solve complex city challenges, and design places people want to spend time in.
Our work provides deep insights and intelligence on how people interact with places over time. We distill this information to empower city shapers – the designers, developers, policy makers, engineers, asset managers – to make better evidence based decisions for the benefit of all.
Our team has extensive experience that bridges urban planning, design and place-making with cutting edge data science and machine learning to develop and deliver new technologies and tools for all built environment professionals.
Image: Central Station Renewal Precinct Sydney
We are committed to shaping cities and places by providing project teams with leading city data.
We are big data
at a human scale.
Norion Ubechel
Founder &
CEO
“At Place Intelligence we unlock the power of global big data to generate human centred insights – enhancing the planning and design and the management of spaces and places world wide.”
Operating on the fringe between emerging technologies, big data and urban strategy, Norion leads Place Intelligence’s global business practice.
His work focuses on unlocking the power of scaled human data driven insights for the needs of built environment.
Leveraging 15 years of academic research and professional experience working as a technologist, strategic planner and urban designer Norion brings a deep appreciation and understanding of city design, built form outcomes and place practices together to create new methods to use data to improve the livability of urban places around the world.
Bonnie Shaw
Co-Founder &
Chief Strategy & Impact Officer
“The intersection of design thinking with advanced technologies delivers data driven insights and intelligence that allows us to continually learn and improve.”
Trained as a Landscape Architect and Urban Designer, Bonnie has spent more than half her career delivering impact through advanced technology projects with some of the worlds most respected research and innovation labs. She helped to establish and lead Australia’s first Smart City team at the City of Melbourne.
As Chief Strategy & Impact Officer at Place Intelligence, Bonnie champions a deep focus on evidence based design outcomes, ensuring that the work is consistently translating into real world impact.
In 2019/20, she re-trained as a Human Potential Coach, to leverage the latest research in biohacking and behaviour change, to support data driven stress management practices, and enable better community health and resilience in times of increasing complexity, uncertainty and continuous change.
Bonnie is faculty at the Australian & New Zealand School of Government, and has held adjunct professor roles at Georgetown University and the Melbourne Business School. She was recognised as a finalist in the prestigious 2021 Australia & New Zealand Women in AI Awards.
She is a seasoned board advisor and mentor and is often called on to speak and write about data for better decision making, smart cities and community powered innovation.
Sean Campos
Co-Founder &
Head of Data Analytics
“Cities generate terabytes of data everyday. Using advanced machine learning systems we collect and unlock this data to enable rapid decision making at all scales.”
Sean leads the global data science teams at Place Intelligence. His work leverages an innovative approach to spatial analysis and data science that underpin the firm’s place focused urban analytics. Since 2004, Sean has worked on a wide range of projects typically involving the interrogation, visualisation and modelling of large, multi-dimensional data sets related to humans and places.
Driven by a delicate balance between his engineering mind and a solution-meets-science passion, Sean’s experiences span a wide variety of industries, artists, platforms and multinational organisations.
His ongoing work with the Data Science Department at the University of Berkley ensures that the team remains at the very bleeding edge of the most advanced data science work in the world.
