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Webinar 3 – C4NET
A community Data CO-OP is a form of collaboration in which participants pool data and data capabilities. It provides insights into social challenges, helping identify better outcome measures to support vulnerable communities.

Swinburne University of Technology has formed a Data CO-OP with Australian National University, Griffith University, The University of Melbourne, The University of Tasmania, Research Data Australia, ADA, APO, AURIN, Trove, and partners with international experts such as The GovLab at New York University.

To mark the launch of the Swinburne Community Data CO-OP Platform, we invite you to attend our webinars on data collaboratives.

James Seymour, CEO of the Centre for New Energy Technologies, will describe the role of C4NET in removing the barrier to access and improved utilisation of energy data for research. Discussion will also focus on the potential application and use cases of overlaying energy data with social and health data and developing novel use cases for energy data.

Jul 7, 2020 01:00 PM in Canberra, Melbourne, Sydney

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Speakers

James Seymour
CEO @C4NET
James is the CEO of the Centre for New Energy Technologies, “C4NET”. C4NET is an independent member-based company established to tackle the sector-wide complex energy transition challenges with an innovative collaboration approach between industry, market operators & regulators, governments and leading researchers. Prior to joining C4NET, James had a number of leadership roles relating to new venture, product, market and technology developments across both Retail Electricity and Distribution businesses.
Associate Professor Amir Aryani
Head, Social Data Analytics Lab @Swinburne University of Technology
Amir Aryani is the Head of the Social Data Analytics (SoDA) Lab in the Social Innovation Research Institute. The Lab applies contemporary and emerging co-op data analytics techniques to provide insight into health and social problems. Amir has experience with large-scale and cross-institution projects in Australia and Europe. His track records include collaboration with high-profile international institutions such as British Library, ORCID (U.S), Data Archiving and Network Analysis (DANS, Netherlands), Institution for the Social Sciences in Germany (GESIS), and funders including ARC, NHMRC, and NIH. He is an experienced project leader on initiatives involving creating and leading data-driven projects and using data modelling, information retrieval techniques, and real-time data analysis. He has published articles in high impact journals such as Nature Scientific Data, Metadata and Semantics Research, and Frontiers in Artificial Intelligence and Applications.