The exhibition "Making Design Research" presented by ANU Design will open tonight February 14. The exhibition explores "the complex relationships between making, design, and research" where "the works combine emergent practice-based enquiry with systematic investigation".
As part of the ACSPRI Summer Program 2017, Dr. Rob Ackland will run a 5-day course: Big Data Analysis for Social Scientists from February 6 to 10, 2017, at the University of Melbourne.
On November 29, 2016, the Web Science Trust -an organization supporting the development of global Web science- celebrated its 10th birthday.
The inaugural Australian Social Network Analysis Conference (ASNAC 2016) was held on the 16-17 of November 2016 in Hawthorn, Australia. This conference marked the first national meeting in Australia for researchers and practitioners who are working with Social Network Analysis (SNA).
As part of the Australian Consortium for Social and Political Research (ACSPRI) Social Science Methodology Conference 2016, researchers from the VOSON Lab gave the following presentations:
Rob Ackland and Timothy Graham (University of Queensland) ran a five-day course on Social Media Analysis at the ACSPRI Winter Program, University of Queensland.
Dr Robert Ackland presented at two panel sessions at the International Communication Association (ICA) conference in Fukuoka, Japan:
Dr Robert Ackland presented on “Collecting and analysing online social network data with SocialMediaLab” at the 2016 CityU Workshop on Computational Approaches to Big Data in the Social Sciences and Humanities, event organised by the City University of Hong Kong and the Web mining Lab.
Dr Robert Ackland presented on "Frames and Fields on Twitter" and ran a SocialMediaLab workshop at the Science of Networks in Communities (SONIC) Lab at Northwestern University.
Dr. Ackland presented at Cyberinfrastructure for Network Science Center (CNS) talk series, Indiana University. The presentation compiled an introduction to the VOSON Lab and research undertaken over the years, to provide a Social Science perspective of the use of big data.
