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Dr Markus Schaffner

QUT Business School,
Economics and Finance

Personal

Name
Dr Markus Schaffner
Position(s)
Visitor's position
QUT Business School,
Economics and Finance
Discipline *
Applied Economics, Econometrics
Phone
+61 7 3138 6682
Fax
+61 7 3138 1500
Email
Location
View location details (QUT staff and student access only)
Qualifications

Doctor of Philosophy (Queensland University of Technology), Degree in Sociology, Computer Science and Economics

Keywords

Behavioural Economics, Experimental Economics, Econometrics / Statistics, Heart Rate Variability (HRV), Computer Science, Big Data / Digital Economy, Neuroeconomics/Physiological Measurements, Social Comparison and Social Interaction, Experimental Software (CORAL), Communication

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Biography

 

Behavioural economist and data scientist, applying leading edge computational tools, advanced statistical techniques and Big Data analysis to the study of human interactions. Along with the talent to match the right tool to any data challenge, I have the expertise, skills and experience to find innovative solutions, to communicate clearly with technical and non-technical stakeholders and to develop robust implementations.

This information has been contributed by Dr Markus Schaffner.

Teaching

Teaching Interests:

  • Quantitative Methods (EFB222/EFN422)
  • Experimental and Behavioural Economics (EFB332)
This information has been contributed by Dr Markus Schaffner.

Experience

Experience
  • Built and maintained the faculty’s behavioural economics computer laboratory to study human interaction. Devised and implemented the standard operating procedures, reduced the lead-time to implement a new experimental protocol from several weeks to just days.
  • Developed a novel toolset to analyse behavioural and physiological data from heart rate variability measurements in joint maximum likelyhood estimations on the university’s high-performance computing cluster utilising Matlab and Stata.
  • Core developer of Coral, a flexible framework to run interactive economic experiments with JavaScript, HTML5 and Java in the laboratory, online with spring:boot and on the iPad with a native client in Objective-C (https://github.com/mas802/coral-econ).
  • Built up the department’s Big Data analysis capabilities. Deployed data collection and analytics tools on the National Academic Cloud (NeCTAR). Used Cloudera, Apache Spark and custom semantic analysis tools in Java to analyse text-based information from leading newspapers, Google N-gram dataset, social media, Kickstarter and the patent record.
  • Acted as IT facilitator and expert for statistical methods for staff and research students in the department. Worked closely with the faculty IT Coordinator to improve access to ITC resources significantly and provided formal and informal training.
  • Founding member of the Queensland Behavioural Economics Group, the second largest behavioural economics research group in Australia. Provided the technical expertise for research and industry projects and online data collection facilities (laboratory and online experiments, surveys, and web crawlers) for research and industry projects.
  • Consulted for industry partners providing them with behavioural insights and preformed statistical analysis as well as training for staff (e.g. for the Australian Investment and Securities Commission (ASIC), Suncorp Insurance, the Brisbane Airport Corporation, the Australian Tax Office, the National Research Institute of Papua New Guinea and IP Australia).
  • Core developer of Statdoc, a Javadoc like automatic documentation tool for statistics projects written in Java (https://github.com/mas802//statdoc).
  • Developed and taught units in statistics and behavioural economics.
Research Reports:
IT Skills:
  • Oracle Certified Professional – Java SE 7 Programmer
  • Oracle Certified Associate – Java SE 8 Programmer
  • Expert in: Stata, Java, Spring Boot, JDBC, SQL, XML, JSON, PHP, HTML, CSS, JavaScript, Eclipse, LaTeX.
  • Experienced in: Matlab, Objective-C (XCode, iOS), JUnit, bash, Regular Expressions, jQuery, D3.js, Git, Linux, Apache.
  • Working Knowledge of: R, SPSS, Python, Design Patterns, OpenGL, Tomcat, Cloudera, Apache Spark, NoSQL, Azure, AWS EC2.
  • https://github.com/mas802/ https://itunes.apple.com/au/developer/802.ch/id338515943
This information has been contributed by Dr Markus Schaffner.

Publications


For more publications by this staff member, visit QUT ePrints, the University's research repository.

Supervision