Does One Size Fit All?
Local governments have learned too well that blanket ‘one-size-fits-all’ restrictions can cause more damage than they truly prevent.
With the pandemic starting to subside, there has never been a better time to create local ‘exit’ strategies to headstart municipal recoveries. But to do so responsibly, local decision makers must answer two questions:
1. How can the risks and benefits of different restrictions be assessed?
2. How can governments be convinced to loosen measures locally?
The Looking Glass Platform
Project Looking Glass was created in answer to these questions.
The software behind Looking Glass simulates the health and economic effects of different COVID-19 policies. Its intuitive dashboard is underpinned by powerful epidemiological and economic models. Decision makers can now see exactly how different levels of restrictions impact transmission rates, hospitalizations, economic activity, and more.
Built by world-renowned epidemiologists and economic experts, Looking Glass helps inform localized policies for a safe return to community.
The Models Behind It
State-of-the-art economic and epidemilogical models used by provincial and federal governments are deployed in Looking Glass to empower municipalities who don't have their own expert modelling panels.
With Looking Glass however, it is now possible for any municipality to answer questions such as:
How will opening schools or patio dining affect factors like R₀?
How close is herd immunity, given the local distribution of vaccines?
How long will depressed local industries take to recover?
How It WorksStep 1  Add Your Local Data
Upload case data that Looking Glass will use to perform its analysis.Step 2  Compute Model Fit
The models are run on your municipality's own data for a custom forecast.Step 3  Receive ‘Current Scenario’ Forecasts
Receive a detailed forecast for your municipality under local conditions.Step 4  Begin Your Scenario Planning
Simulate the impact of applying or relaxing different policy control measures.
Leveraging Local Infrastructure
The deterministic models used in Looking Glass are very accurate, but they are also computationally expensive.
Project Looking Glass solves the expense of running these models with the Distributed Compute Protocol (DCP). DCP enables models to be run across thousands of underutilized computers on local university or municipal networks, removing the need for expensive cloud services. DCP is provided at no cost to academic institutions.
The Looking Glass Consortium
Started in May 2020, Project Looking Glass is supported by a diverse group of partners. They remain committed to its development, helping communities around the world advocate for more localized, data-driven COVID-19 transition strategies.
KDS is a world-leader in distributed computing. Without its technology, running Looking Glass' powerful models for each municipality would simply be unaffordable and infeasible.
Providing advanced decision support capabilities to governments and large NGOs around the world, Limestone created the breakthrough economic models used in Looking Glass.
Several highly regarded epidemiologists from Queen’s University have developed the peer-reviewed models used by Looking Glass, which capture complex transmission and vaccine patterns.
DCL is an educational nonprofit providing DCP at no cost to academic institutions worldwide. DCL partnered universities are powering the Looking Glass platform for their respective municipalities.
Project Looking Glass was funded with $2.2m from Canada’s Digital Technology Supercluster, an agency of the federal department for Innovation, Science, and Economic Development (ISED).
aiSight develops machine vision solutions for manufacturing, agriculture, and more. It complements Looking Glass with MV models that detect public adherence to social distancing.
Try The Platform
Project Looking Glass enables municipalities and regional health authorities to create detailed scenario plans for their COVID-19 exit strategy.
Understand the actual dynamics of local viral transmission
Simulate dozens of scenarios and their socio-economic impacts
Model the effectiveness of targeted vaccine campaigns
Build, substantiate, and advocate for localized COVID-19 exit strategies