Join us at the Collaborative Conference on Computational and Data Intensive Science, 2018 (C3DIS 2018), to be held on from 28-31 May at the Melbourne Convention and Exhibition Centre.

C3DIS 2018 builds upon the previous very successful CSIRO Computational and Simulation Sciences and eResearch Conferences (CSS and eResearch Conferences) which:

• established communities of practice covering scientific, research and technical expertise;
• showcased success stories and
• offered specialised training during the technical workshops.

C3DIS aims to build a national community of practice of scientists, researchers, and computing, data and information management specialists from publicly funded Australian research organisations. All of these professionals share a common interest: the production of breakthrough science outcomes that require large scale, complex computations and analyses to be carried out over massive data sets.

This conference represents a unique networking opportunity for Australian scientists, researchers and “technology experts” from various domains and organisations to gather, learn from each other’s success stories through the conference sessions. They will also have the opportunity to participate in a variety of technical discussions and workshops, and to listen to leading keynote speakers and participate in stimulating Q&A style panel discussion.

Be informed about the current state of computational and data-intensive science from an Australian context. Hear from internationally and nationally renowned experts and scientists about their experiences and views of the changing nature of scientific discovery and the impact of eResearch capabilities and platforms on their work. Share and exchange “war stories” and successes, both formally at presentations and at networking opportunities, over the four days of the conference and workshops.

For the technologists and scientists interested in improving their currency and developing their technical skills by participating in up to day long workshops covering both established and emerging areas such as Machine Learning, Visualisation as well as providing introductions to scientific computing and data governance.