Contacts

Doctor Nick Scott

Econometrician

Background

Nick is an Econometrician and winner of the 2014 and 2015 Jim and Margaret Beever Fellowships. Since completing his mathematics PhD in 2012, he has built and used numerous mathematical, economic and statistical models to inform government policies, including:

  • Econometric and regression models of the heroin and methamphetamine markets in Melbourne, using data from cohort studies and the Victoria Police Forensic Services database—with submissions to the 2014 Victorian Parliamentary Inquiry into the Supply and Use of Methamphetamine and 2015 Ice Taskforce;

  • Markov models of the behavioural responses of people who inject drugs to changes in drug market economics;

  • Deterministic transmission models of hepatitis B virus, HIV and other sexually transmitted infections in prisons to determine the cost-benefits of condom availability;

  • Cost-effectiveness models of hepatitis C virus (HCV) treatment, including quantifying the impact of treating chronic HCV on the overall burden of liver disease, determining the cost-effectiveness of treating people who inject drugs with new therapies, determining the cost-effectiveness of reaching World Health Organisation elimination targets, and investigating the benefits of HCV vaccines;

  • A stochastic agent-based model ‘SimDrink’, currently being used to conduct alcohol policy experiments on populations of young heavy drinkers; and

  • Components of an allocative efficiency model as part of the ‘OptimaTB’ collaboration, designed to improve tuberculosis outcomes by optimising government funding allocation across preventative and treatment programs.

Qualifications

  • 2012: PhD in Mathematics, The University of Melbourne
  • 2008: BSc (Hons), The University of Melbourne

Projects (1)

  • Optima decision science
    Research and applications across a range of disease areas to improve allocative efficiency (the maximization of health outcomes using the most cost-effective mix of interventions and implementation methods).

Publications (26)

2017 (6)

2016 (9)

2015 (7)

2014 (2)

2013 (2)