daylight

Damned Lies and Statistics – and lighting = electric windows…

“There are three kinds of lies: lies, damned lies, and statistics.” Lies, damned lies, and statistics How do you know if applied lighting research results are valid? Veitch et al ask this important question in this brilliant paper, using the celebrated Kruitoff Curve to demonstrate her argument: Kruithof proposed that we prefer bright lights to […]

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Hippocratic Oath – and dynamic lighting helps to heal at home

First, do no harm One in five older adults suffer from insomnia, contributing to cognitive decline, depression and falls. Sedative medication is over-prescribed in long-term residential care despite little evidence that it improves sleep, while many of the most commonly-used drugs increase mood swings and risk of falls – Optimizing Sleep for Residents in Long-term Care

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Start with ‘why’ (and who) – holiday reading and puppy eyes

Keep it simple, do it well, and finish it off properly… Surely that’s not too much to ask? This brilliant Wiki – The problems with smart buildings by BSRIA makes a compelling case for going back to basics when it comes to smart building technologies to consider the end-users’ needs and expectations (and skills) before reaching for a complex technological solution that risks not only failing

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Tunable, dynamic or circadian – and seagulls never forget a face!

Data mining and decision-making Building professionals traditionally relied on years of training and trial and error to build a database of tacit knowledge. But growing complexity, competition and legal liabilities mean that cumulative analogue strategy is just too risky today. Here are three different approaches harnessing machine learning to stay ahead of the curve. 1.

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Number crunching – and how you see pink

Data mining and decision-making Building professionals traditionally relied on years of training and trial and error to build a database of tacit knowledge. But growing complexity, competition and legal liabilities mean that cumulative analogue strategy is just too risky today. Here are three different approaches harnessing machine learning to stay ahead of the curve. 1.

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