Quest Vol. 16 No. 4 is now available!

Editor’s Note Theme Light detection and ranging Lidar Lidar probes the atmosphere Shedding light on DVM Lidar in the coastal zone Capturing Kruger in 3D Bird’s eye view 3D scanning the New Jerusalem Digitising dioramas Features Wind and solar energy Snakes alive! Citizen science 2020 Nobel Prize: Chemistry 2020 Nobel Prize: Physics Bridging the gap […]

Early warning systems: lost in translation or late by definition..

Early warning systems (EWSs) are widely considered to be one of the most important mechanisms to prevent disasters around the globe. But as disasters continue to affect countries where EWSs have already been implemented, the striking disaster consequences have led us to reflect on the focus, architecture, and function of the warning systems. Since the […]

Early warning systems for biodiversity in South Africa

It is a hard reality that virtually all countries, no matter how well resourced, take conservation and land use decisions based on highly patchy and imperfect data – if indeed any data at all. Despite a mushrooming of scientific evidence and journals in the past decade, and open-access provision of many expensive global datasets, developing […]

Class in session

We continue with circle geometry for grade(s) 10-12 on our Facebook page, join us from Monday to Friday from 10:00-12:00 at Quest: Science for South Africa.

Coming Up: Quest Vol. 16.1 (2020)

The theme of the March-April 2020 issue will be ‘plant health’, as Quest joins the global community in celebrating the International Year of Plant Health (IYPH 2020).

Quest Volume 15.4

In this issue: Protecting paralympians: Investigating injury and illness in paralympic athletes; A helping hand: Prosthetic hands developed at local universities; Tukkies for the hearing-impaired: University of Pretoria academics assist the deaf; Disability due to neuromuscular disease: Genomics research – Stephen Hawking profile; High-tech aids for the blind and visually impaired and more!

Quest Volume 15.3 now available!

This issue of Quest focuses on machine learning across various disciplines. Machine learning is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence.

Quest Vol 16 No 2 is now available!

This issue of Quest focuses on early warning systems (EWS), which are designed to reduce the risk to life, livelihoods and health during disasters and other extreme events.