Study level

Master of Philosophy


Vacation research experience scheme


Science and Engineering Faculty

School of Information Systems

Topic status

We're looking for students to study this topic.


Dr Reihaneh Bidar
Associate Lecturer
Division / Faculty
Science and Engineering Faculty
Dr Renuka Sindhgatta Rajan
Lecturer Service Science
Division / Faculty
Science and Engineering Faculty


The purpose of this research is to provide a methodology to detect and mitigate destructive patterns that are generated in crowdsourcing systems which result in negative consequence through contributors’ interactions.

Vote manipulation is a form of co-destruction that can result from intentionally biasing a rating.

Our ultimate goal is to provide guidance when setting up crowdsourcing systems that prevents co- destruction or detects it before it becomes problematic.

Research activities

As a VRES student, you'll assist the research team by investigating real-life data sets.

As a research student (Honours or Masters) you may develop algorithms that provide a detection /mitigation mechanism for a particular co-destruction pattern in crowdsourcing systems. This could include GitHub or Wikipedia.


As a result of finishing this project, you'll need to:

  • extract a relevant information from a crowdsourcing platform.
  • provide an algorithm for detecting or mitigating a particular co-destruction pattern from occurring in crowdsourcing systems.

Skills and experience

To be considered for this project, you should have a technical background in:

  • computer science
  • information technology
  • data science
  • equivalent field of study.

You should also demonstrate excellent programming skills in Python.


Contact the supervisor for more information.