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.
Image: SARAO

from big data to big ideas
Latest NEWS
The International Astronomical Union (IAU) last week awarded Associate Director of the Institute for Data Intensive Astronomy (IDIA), Associate Professor Carolina Ödman, a special prize for her pioneering work in… South Africa has won the bid to host the 2024 General Assembly of the International Astronomical Union (IAU). It will be the first time this assembly is held on African… On July 23 2018, we invited members of the media and of the astronomy community to an event at the Iziko Planetarium and Digital Dome to celebrate the IDIA Research Cloud. The… The Inter-University Institute for Data Intensive Astronomy (IDIA) invites applications from suitably qualified candidates for IDIA postdoctoral fellowships. IDIA is a partnership of three South African universities working on data… Late June 2018 in Pretoria saw the gathering of a group of thought leaders in two highly specialized and important fields in science; Astronomy and Computational Intelligence. These two seemingly… The University of Pretoria (UP) held its annual Academic Achievers Awards on 10 May 2018 to celebrate the outstanding performance of its academic staff, pay tribute to their commitment and…IDIA Associate Director Carolina Ödman wins prestigious Special International Astronomical Union Award for astronomy outreach, development and education
Cape Town to host the 2024 General Assembly of the International Astronomical Union
IDIA launches Research Cloud
HIPPO Multi-Wavelength Data Fusion and Machine Learning for Radio Continuum Surveys Postdoctoral fellowship
Artificial Intelligence for Data-Driven Astronomy Workshop
Prof. Deane recognised at UP