Scott Salzman is a Senior Lecturer in the Department of Information Systems and Business Analytics in Deakin Business School. Scott is an applied statistician, environmental econometrician, numerical modeller, and has a diverse range of interests in a variety of disciplinary and interdisciplinary fields. His primary research objective and agenda is driven by the goal of applying a general set of analytical principles that simplify their extensive and often little-understood purpose and use, in a diverse field of analytical exploratory endeavour. Because of Scott's diverse research history, he has a unique capacity to assess research problems using a disciplined approach. He has an extensive understanding of numerical modelling methods and a unique ability to interpret and structure basic ideas within an analytic framework.
Scott flourishes in collaborative situations, where his role is to bring analytical methodological rigour. He has published in the area of integrated economic assessment of natural resources and natural processes, crucial aspects of long-term environmental sustainability and economic stability. He is able to provide actual and theoretical numerical modelling context to interdisciplinary investigations. Throughout Scott's career, he has been instrumental in improving the strengths of collaborative research effort. This has made him a very successful researcher, improving analytical modelling effectiveness and interpretability for all stakeholders. In summary, Scott is able to effectively communicate a projects analytical modelling requirements, apply relevant modelling methodologies as well as interpret results.Read more on Scott's profile
- Numerical Modelling
- Regional Business Trends
- Environmental Economics
- Numerical Modelling
- MIS101 - Information Systems
- MIS171 - Business Analytics
- MAE356 - Econometrics
- MAE256 - Econometrics
- SIT191 - Introduction to Statistics and Data Analysis
- MIS770/A - Foundation Skills in Data Analysis
- MAA427 - Research Methods (Honours Program)
- SLE133 - Chemistry
- HPS201 - Research Methods in Psychology A
- HPS301 - Research Methods in Psychology B
- Numerical modelling.
- Groundwater contaminant flow, interaction and transport modelling.
- Musical instrument digital interface information systems applications, use, development and integration.
- Sound Engineering.