Month: August 2023

Welcome to Data Engineer Zhuochen Wu

Posted on by Kath Williamson

We’d like to welcome Zhuochen Wu to CIRES! Zhuochen joined the Centre as a Data Engineer in November 2022 and is based at Swinburne University of Technology. Her main work includes data curation, resilient data pipelines, graph databases and distributed ETL systems, with a focus on data extraction and analytics pipeline integration. Zhuochen has a degree of Master of Computing with Data Science specialisation from the Australian National University. She works closely with Chief Investigator Associate Professor Amir Aryani.  She is excited by the diverse projects within the Centre and is looking forward to collaborating with other researchers to find meaningful insights from data.

Welcome to Data Engineer Shaoyang Fan

Posted on by Kath Williamson

We’d like to welcome Dr Shaoyang Fan to CIRES! Shaoyang joined CIRES as a Data Engineer in July 2023 at The University of Queensland. Shaoyang is a data scientist and specialises in microtask crowdsourcing, data quality, and bias. He works closely with Chief Investigator Associate Professor Gianluca Demartini, working in data curation and human computation research, including constructing crowd-sourced data curation processes. He has a PhD in Computer Science and Master of Science in Information Technology, both from UQ, and Master of Science in Econometrics from The University of Manchester.

Shaoyang is looking forward to applying his technical skills and passion for data science to make impactful contributions to the Centre.

Dr Sen Wang CI for new ARC Training Centre in Predictive Breeding in Agriculture

Posted on by Kath Williamson

Congratulations to School of EECS, Professor Helen Huang, and CIRES CI, Dr Sen Wang, for the successful $5M funding of the ARC Training Centre in Predictive Breeding for Agricultural Futures. The Centre will train the next generation of breeders and develop cutting-edge predictive breeding technologies in partnership with industry. The Centre will train 31 PhDs, seven Postdocs and perform research across 21 agriculturally important species. The Centre brings together significant contributions from five Australian universities and 30 national and international partner organisations, and now the ARC, to a total value of $136M.

Best Paper Award ICTIR 2023

Posted on by Kath Williamson

Congratulations to CIRES Chief Investigator Associate Professor Gianluca Demartini and fellow authors who received the Best Paper Award for their work “Perspectives on Large Language Models for Relevance Judgment” https://lnkd.in/gmf3qU97

The work is the result of an international collaboration between researchers in Italy, USA, Canada, Australia, Germany, Netherlands, and Japan, who highlight the risks and opportunities of large language models and their impact on information retrieval research. The award was given by a committee of information retrieval experts at the ACM, Association for Computing Machinery‘s SIGIR International Conference on the Theory of Information Retrieval in Taipei last week.

CIRES is 2!

Posted on by Kath Williamson

CIRES has turned 2! On 1 August 2023 we celebrated at CIRES headquarters at UQ with light lunch and cake and shared key highlights from CIRES over the past 2 years.

CIRES Highlights​

The partnership between CIRES and Health and Wellbeing Queensland has broadened my perspectives and understanding in the field of data, especially the use/application of data science in health. ​ Every CIRES event, workshop, and presentation never cease to inspire and challenge my thinking and perspectives when designing solutions to address obesity prevention.​ Dr Li Kheng Chai​, Partner Investigator​, Health and Wellbeing Queensland

The two highlights for me were the showcase events last November – the Information Resilience Symposium and the Centre Launch and tour – it was great to hear what the Centre had been doing.​ Geoff Clarke​, CIRES Strategy Board​

Interdisciplinary opportunities including the Building Social Licence workshop and hosting international visiting students.​ Associate Professor Gianluca Demartini​, Chief Investigator and Theme Leader

Facilitating the CIRES BIS Reading group and having the opportunity to contribute to the CIRES industry partner research projects, including community attitude towards data analytics.​ Dr Javad Pool​, Postdoctoral Research Fellow

Working amongst the CIRES team day to day has been excellent. The structure of CIRES supports PhD candidates and early-career researchers through its internal leadership management and governance frameworks. We also get access to useful external feedback and thought-partnership from industry and other universities with which CIRES has developed strong relationships.​ Attending the PhD school was a good opportunity to meet fellow emerging scholars in the field of Information Resilience from universities across Australia. It created a convivial atmosphere for us, future thought-leaders in this field, to acquaint with one another’s work as well as at a personal level.​ Krishna Dermawan​, PhD Researcher ​

Computational Social Science Reading group

Posted on by Kath Williamson

We have a number of reading groups happening across the Centre and it’s a key part of our cross-collaboration between our university partners Swinburne University of Technology and The University of Queensland.

Great conversation in the Computational Social Science Reading group led by CIRES Postdoc Dr Hui Yin, PhD researchers Pa Pa Khin and Lufan Zhang, and Dr Javad Pool, around AI-enabled knowledge sharing and learning.

Swinburne University of Technology, hosted our second Computational Social Science Reading group with the collaboration of colleagues at the University of Queensland, part of the ARC Training Centre for Information Resilience (CIRES).

Dr. Hui Yin leads the conversation today with a focus on a paper about knowledge management titled ” AI-enabled knowledge sharing and learning: redesigning roles and processes” (https://lnkd.in/g8xSTg3c). Pa Pa Khin gave a detailed introduction to this paper. This research paper provides a comprehensive framework for analyzing AI’s impact on various practices in knowledge management, and it uncovers the vital necessity of tailored AI-enabled knowledge management systems to cater to modern knowledge worker demands. We had a productive conversation about the role of AI in facilitating organizational knowledge sharing and learning, and how it can support knowledge management activities.