Data is central to all endeavours today, dealing with its acquisition, storage, curation, retrieval, and processing. By utilising Artificial Intelligence, Machine Learning, and Statistics data becomes the basis for our modelling of and reasoning about the world and society, to also gain understanding. We pursue a rigorous processing of data and its contexts and implications, engaging with domain experts in government, business, and the health and social sciences to build models that turn data into information into knowledge to then support effective and confident economic and social decision making. Our research focus on the design and construction of robust processes and models leads to new algorithms, prototypes, and deployed systems across multiple domains to derive new meaningful insights while being sensitive to bias. Our broad teaching portfolio includes both micro and macro credentialing, balancing theoretical techniques with domain-relevant project-based learning, aimed at researchers, practitioners, and decision makers.
People
Peter Christen
Professor Emeritus
SFHEA
peter.christen@anu.edu.au
CSIT Building 108, Office N333
Muhammad Farhan
Research Fellow
muhammad.farhan@anu.edu.au
Hanna Neumann Building 145, Office 4.27
Charini Nanayakkara
Research Fellow
charini.nanayakkara@anu.edu.au
CSIT Building 108, Office N322
Sergio José Rodríguez Méndez
Research Fellow
Sergio.RodriguezMendez@anu.edu.au
+61 2 6125 1766
CSIT N322
Qing Wang
Associate Professor
FHEA
Associate Director International
qing.wang@anu.edu.au
+61 2 6125 4625
Hanna Neumann Building 145, Office 4.26
Asiri Wijesinghe
Research Fellow
asiri.wijesinghe@anu.edu.au
Hanna Neumann Building 145, Office 4.27