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Current thesis proposals

Data-availability study for ecological footprint awareness using mobile applications (16hp)

Humans consume resources at an ever faster rate, and our demands on nature far exceed the capacity of the ecosystems we rely on. Many of the choices we make daily greatly influence the impact we have on our environment, but it may be very difficult to estimate what choices are most rational, given that there are many factors that influence the environmental impact, data may not be available to support individual consumer decisions, there may be conflicting environmental concerns to take into account, as well as cultural and social barriers.

To support people in making rational decisions about their choices as consumers, this project seeks to investigate the extent to which data is available to produce mobile consumer applications that calculate the ecological footprint, as well as comparing options, for purchases of the most frequent consumer purchases such as food and clothes.

Online, graphical constraint-based equation solving with dynamic problem generation (30hp)

Constraint-based equation solvers are powerful tools for solving optimality problems in many domains, but they are yet to become the mainstream method for solving problems where users are not experts in the use of constraint solvers. For many, using advanced mathematical models without the ability to visually inspect or manipulate the model is a major obstacle to using advanced techniques for solving constraint problems.

This thesis will explore available open tools that can be used for constraint-based, iterative equation solving, and provide a graphical framework for interacting with constraint solvers by providing graphical components that can be used to model entitites in a constraint optimization problem, and their relationships to one another. The tool will be evaluated with respect to how fast users are able to learn and use the tool to create and solve new problems, and how the proposed design for the tool will enable users to model new types of constraint problems.

Suggested background: Master's students with courses in interaction design and mathematical (linear, combinatorial, constraint-based) optimization. Possible for two students.

More will come...

Page responsible: Ola Leifler
Last updated: 2015-05-08