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Found 565 matching student topics

Displaying 25–36 of 565 results

Access to screen culture in an algorithmic age

During the course of their PhD, the candidate will drive a research project that investigates how the use of algorithms in search and recommendation systems affect the discoverability of content, including:long tail and back catalogue contenton subscription video-on-demand (SVOD) servicesinternet platforms.The project will explore how digital tools can be developed and used to study the impacts of search and recommendation systems, and examine the regulatory options that might be used to address potential problems in the discoverability of culturally or …

Study level
PhD
Faculty
Faculty of Business and Law
School
School of Law
Research centre(s)
Digital Media Research Centre

Phase separation and atmospheric water exchange in droplet nuclei

Several PhD positions are available for motivated individuals to investigate phase separation and glassy state formation inside airborne droplet nuclei and its impact on water uptake and loss during atmospheric transport.Marine and continental atmospheric aerosols play an important role in the global climate hydrological cycle while respiratory aerosols released during breathing speech and coughing are responsible for the airborne transmission of human respiratory viral infections such as SARS-CoV-2. These processes can limit the availability of cloud seeding nuclei with implications …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Science
School
School of Earth and Atmospheric Sciences

Carbonate Sediment dynamics from the Southern Great Barrier Reef Coral Sea

The southern extent of the modern Great Barrier Reef (GBR) marks the transition from tropical to subtropical ocean conditions. The shelf edge and upper slope in this vast area of the southern GBR were poorly mapped when compared to the north. Very little systematic multibeam seafloor mapping had been done in the southern GBR with most datasets collected opportunistically while in transit.New bathymetry, backscatter data, and sediments samples extend our understanding of eastern Australia’s palaeoshorelines and provide a basis for …

Study level
Vacation research experience scheme
Faculty
Faculty of Science
School
School of Earth and Atmospheric Sciences
Research centre(s)

Centre for the Environment

Detecting negative interactions in online setting

The purpose of this research is to provide a methodology to detect and mitigate destructive patterns that are generated in crowdsourcing systems and result in a negative consequence through contributors’ interactions.Vote manipulation is a form of co-destruction that can result from intentionally biasing a rating. In Wikipedia, co-destruction can happen for example as a result of blanking pages or inserting unrelated content to the page by a group of people.Our ultimate goal is to provide guidance when setting up crowdsourcing …

Study level
Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Information Systems

Characterising Crowd-based Organisations

The focus of this project is on “crowd-based organisations” which are rapidly assembled organisations composed of online crowd workers to achieve complex goals.Currently, organisations use crowdsourcing strategies such as microtasking to enable goals that are so simple and modular and can be pre-defined. For example, major companies such as IBM, HP, and Oracle, have invested in Open Source Software (OSS) platforms and this allows them to harness collective intelligence through what are essentially crowdsourced activities (OSS software contributions). However, understanding …

Study level
Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Information Systems

Quality and validation of machine learning methods

Not all machine learning methods are created equal and not all training datasets are of the same standard of quality.In this project we'll look at how machine learning methods can be quality assured and validated with a particular focus on training datasets.

Study level
Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Explainability of machine learning methods

Machine learning can be very powerful but its black box reputation can be an obstacle for industry.In this project we'll look at creative ways to visually convey how methods like deep neural nets, random forest, XGBoost algoritms, and support vector machines work for different audiences.

Study level
Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Taxonomy of data science methods

To reap the benefits of data science it's necessary to be able to pair real world data problems with data science methods.In this project we'll begin to map out the key methods, their benefits and drawbacks, and suitability of each given some initial problem statements.

Study level
Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Evaluation of machine learning approaches for transfer learning

Transfer learning is becoming a popular machine learning approach which aims to transfer knowledge from a source domain to a target domain. Domain adaptation is a special case of transfer learning. Domain adaptation has proven to be significant in classification tasks where the target domain does not have labelled data, a requirement for building classifiers, however, there exists a related labelled data, called as source domain.Domain adaptation has been studied in the recent time and hence there exists many variants …

Study level
Vacation research experience scheme
Faculty
Faculty of Science
School
School of Computer Science
Research centre(s)
Centre for Data Science

Using augmented reality portals to step into other worlds

We are seeking highly motivated students to work on an Australian Research Council (ARC) funded project.In this project, you will be assisting in the design, development and/or testing of an augmented reality (AR) application which will allow users to seamlessly transition between the real world and several virtual worlds via the use of portals. After walking through a portal, users will be able to move around, interact with objects and talk with other users in the virtual space before taking …

Study level
Vacation research experience scheme
Faculty
Faculty of Science
School
School of Computer Science

Histological analysis of explanted pelvic meshes

Pelvic mesh implantation is a common surgical procedure employed to treat stress urinary incontinence, rectal prolapse and pelvic organ prolapse. Data from the Therapeutic Goods Administration (TGA) showed that 151,000 meshes have been implanted in Australia since 1998 and 3.7 million world-wide between 2005 and 2013. However, the use of pelvic meshes can cause complications such as erosion, infection, pain and discomfort, which sometimes require further surgery. With high complication rates the FDA recently issued 2 warnings against the use …

Study level
Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

The digital social contract

The Digital Social Contract research program within the Digital Media Research Centre aims to create a more just and fair information society that promotes human flourishing. We examine future models of governance and recommend pragmatic policy changes that can improve regulatory regimes in the near term.Our research focuses on:promoting good governance and the protection of human rights in the regulation of digital technologiesimproving access to knowledge and culturedata civics (the management of data and analytics to enhance the common good).We …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Business and Law
School
School of Law
Research centre(s)
Digital Media Research Centre

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