Event Details

Date:
Thursday, 26 November 2015
Time:
10:00 am - 11:00 am
Room:
Level 4 Seminar Room
UQ Location:
Sir James Foots Building (St Lucia)
Event category(s):

Event Contact

Name:
Miss Hannah Fry
Phone:
3346 4241
Email:
h.fry@uq.edu.au
Org. Unit:
Sustainable Minerals Institute

Event Description

Full Description:
This week Sholto Maud, PHD Candidate from the Sustainable Minerals Institute will present his confirmation seminar on 'Data-driven Systems for Global Risk Governance of Unconventional Energy: Visualising Risk Information with application to Groundwater Resources'. Development of onshore Coal Seam Gas production faces several challenges and risks. An aim of informational regulation is to address any informational asymmetries which may misinform decisions about such risks. Key informational instruments are risk indicators, and these requires information systems for monitoring and alerts. Projects aiming at developing these systems have focused on interoperability: model-driven and standards-driven integration of data from many systems. Interoperable solutions can be complex, costly, with limited functionality. This research project seeks to see whether we can use unstructured, big data and data-driven technologies to leverage data analytics and stakeholder interfaces that can address gaps in regulatory information systems: Can we develop them at reduced costs to industry proponents, regulators, and other stakeholders, but provide the increased functionality, informational symmetry and transparency required for effective global risk governance of assets not constrained by Government boundaries? Mr Sholto Maud has a diverse background working in both the manufacturing industry, and the environment sector. He undertook undergraduate studies in Philosophy and Environmental Science with Monash University, and subsequently undertook a Systems Engineering Masters with RMIT University graduating with distinction. He has since worked with Melbourne Water, Kisters Pty Ltd and Arrow Energy and has extensive experience with database development. He has recently been working on applications of bigdata analysis and node.js technologies in hydrogeology.

Directions to UQ

Google Map:
Directions:
St Lucia Campus | Gatton campus.

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