Home > Research > Communities of Interest > Data Science Community of Interest

Data Science Community of Interest

OBJECTIVES

The Data Science Community fo Interest promotes the use of best practice in analyseing data to solve water management problems.

  • Share knowlede and experience
  • Share data science code to solve water problems

EVENTS

  • Community of Interest Workshop - 1 May 2018

RESOURCES

GitHub repository (Open Source software library)

LITERATURE

Prevos, 2016 Health-Based Targets Performance Reporting - Using Virtual Scada Tags to Facilitate Data Analysis. Coliban Water.

Prevos, 2017Lifting the Big Data VeilWater e-Journal

Please submit Open Access papers of interest to share with members.

MEMBERS

Atom Consulting

Barwon Water

Coliban Water

Hunter Water 

Melbourne University

Melbourne Water

South Australia Water

South East Water

University of Adelaide

Wannon Water

Yarra Valley Water

 

COI MEMBER PROJECTS

 Organisation Project (click for availaleproject documents) Lead
Coliban Water HBT Peter Prevos
  Smart Metering Peter Prevos
SA Water Risk Framework for WWTP Discharges (Excel tool) Tim Kildea
  Chemical Hazard Assessment of Stormwater Micropollutants (CHASM) (Excel tool) Andrew Humpage
  Cyanobacteria Risk Assessment Support Tool (CRAST) (Excel tool) Gayle Newcombe