Meg Bartholomew
Research Fellow
Meg Bartholomew is an urban professional with extensive experience in city shaping projects, particularly in the application of transformational technology towards better futures. Her direct skills include the application of analytics and machine learning to address urban issues, including transport. She joins the team as a research fellow, assisting with stakeholder engagement, focus groups and workshops and synthesis of the resulting insights.
Areas of interest
- Urban analytics, machine learning, Urban AI, smart cities, design thinking, stakeholder engagement, insight, data visualization, collaboration
Qualifications
- Bachelor of Architecture – UTAS
- Masters of City Design and Social Science – LSE
- Micro Masters in Data Science – MIT (partially completed)
- Winner Innovation & Technology in the Built Environment, 51st Los Angeles Architectural Awards
- Property Council Future Leader Innovation and Excellence Nominee 2017
Background
Head of Impact & Analytics @ ERA-co: 2019-2022
- Built the analytics team to query and analyse large data sets including geo-spatial data for quality assured, evidenced, actionable insights
- Our machine learning - regression, clustering, classification - and statistical analysis provided the back-bone for urban decision making
- Both hands on and directing my team for real estate clients including Google, Hines Group and Lendlease
PwC Associate Director: 2014-2019
- Cities Team consulting for high profile clients, including government
- Research and analytics with a focus on critical urban insights
- Clear data visualisation and storytelling to enable detailed problem
- diagnosis and informed, outcome-focused investment decisions
Quant & Qual Lead Researcher @ LSE Cities | 2018
A study on methods to measure community including a literature review of research on community undertaken since 2000 and experiments in social network analysis understanding how people, linked either by spatial relationships or online connections, create communities in an urban age.