Indoor air quality across Beaconhouse National University
Daily average ·
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Average across every day in the month; the peak hour is highlighted
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Share of readings in each band
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The sensor score runs 0 to 100 and rises as conditions improve, so a higher share in the upper bands is better.
Each pollutant on its own scale — they are measured in different units and do not sum
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Stronger colour means a higher average; blank cells were never sampled
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0 sampled readings
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Awair sensors logging at five-minute intervals
Our ground-based sensor network is strategically deployed across selected indoor spaces at BNU to capture real-world indoor environmental conditions. Sensors are placed across different rooms and building settings, including spaces with and without indoor plants, allowing us to compare air-quality conditions and assess how plant-based interventions perform under different indoor environments. The deployment provides continuous, location-specific measurements that capture variations across spaces and over time. These ground observations also provide a reliable basis for evaluating environmental conditions alongside building, occupancy, and ventilation characteristics.
Share of global deaths from each condition attributable to PM2.5 exposure
PM2.5 describes particles 2.5 micrometres across or smaller — roughly thirty times finer than a human hair. They pass the body's natural filters, settle deep in the lungs and cross into the bloodstream, which is why a single pollutant shows up behind such different diseases.
Selected for tolerance of low indoor light and for their filtering behaviour
Aloe Vera
Aloe barbadensis miller
Bamboo Palm
Chamaedorea seifrizii
Snake Plant
Sansevieria trifasciata
Lady Palm
Rhapis excelsa
Policy Adviser
A scholar of political science and international relations who has taught at Boston University and LUMS, served as Pakistan’s youngest National Security Adviser, and held senior roles at Harvard’s Kennedy School and the U.S. Institute of Peace. Author of Brokered Bargaining (Stanford, 2018) and currently a Senior Fellow at Harvard’s Belfer Center.
Research Scientist, Group Head
Group head at Beaconhouse National University’s Center for AI Research, working on satellite imagery and remote sensing. Previously at LUMS, Oxford and Leeds on poverty mapping, environmental health and vehicle emissions. Recipient of the Facebook CV4GC award and a Commonwealth Split-Site PhD Scholarship.
Associate Researcher, Lead Data Analyst
Works on statistical modelling, geospatial analysis and remote sensing, with publications at NeurIPS, AAAI, ICONIP and IGARSS covering air pollution mapping, flood impact and waste classification. Focused on turning measurement into decisions that hold up in policy.