The Inter-university Institute for Data Intensive Astronomy is a partnership of three South African universities, the Universities of Cape Town, of the Western Cape and of Pretoria as well as the South African Radio Astronomy Observatory.
The overarching goal of IDIA is to build within the South African university research community the capacity and expertise in data intensive research to enable global leadership on MeerKAT large survey science projects and large projects on other SKA pathfinder telescopes.
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from big data to big ideas
Latest NEWS
The agreement forming the Inter-University Institute for Data Intensive Astronomy has been renewed by the University of Cape Town, the University of the Western Cape and the University of Pretoria… We are delighted to announce the appointment of Dr. Brad Frank in this position that will ensure that the research cloud is able to deliver on the needs of the… In this new paper, the observations of neutral hydrogen in the MIGHTEE survey conducted on the MeerKAT telescope are described. This particular project addresses 10 science questions, which shows the… The InspiringFifty SA Awards aims to recognise and the increase the visibility of women in science, technology, engineering and mathematics (STEM) who have advanced the STEM fields. InspiringFifty celebrates the… A new multi-wavelength analysis of 620 galaxies attempts to disentangle physical phenomena contributing to the galaxies brightness in radio waves. To properly understand the evolution of galaxies since the first… An SAAO Special Edition of NRF Science Matters Magazine Vol 3 Issue 3 was released by the National Research Foundation. This special edition of Science Matters focuses on the facilities,…Universities join forces in big data science – IDIA is renewed for 5 years
Dr. Brad Frank joins IDIA as Associate Director, Astronomy Operations
MIGHTEE-HI: The HI emission project of the MeerKAT MIGHTEE survey
IDIA Associate Director Wins InspiringFifty Award
New paper on galaxy evolution
Driving the 4th industrial revolution through astronomical data