Supporting local data for local insight

The Regional Analytics Lab (RAnLab) is a part of the School of Humanties and Social Sciences at Memorial University. RAnLab aims to support evidence-based policies for regional development through capacity building initiatives and regional economic and spatial analytics.

RAnLab supports real-world decision making by combining observed localized data and contextual knowledge with advanced data analytics.

RAnLab's work is guided by partner engagement – we'll collaborate with you to decide how we can best help you with the challenges you're working hard to solve. 

All partnerships are flexible. The projects we complete and the support we provide is fully customizable to your needs. This includes custom tailored processes, analysis, and outputs. 

What does RAnLab do?

RAnLab is a data analytics and modeling unit that: 

• conducts quantitative regional economic and spatial analysis
• uses detailed geo-spacial local-level data to assess the capacity and sustainability of industries, labour markets, population and other areas necessary for evidence-informed planning and decision-making
• works with partners in industry, community and government to develop operational geo-spatial and regional analytics models that can assess the local environment, and provide analytic models to demonstrate potential impacts of planned activities, policies, and/or development intitiatives considering projected future changes in things such as demography, commodity prices, technology, labour markets, housing, transportation and health care demands. This includes modelling the effects of the introduction, reorganization, or removal of industries or services from a region.