[TAKEN] Off the rails? Exploring the effectiveness of generative AI “guardrails” for novice programmers

There is an argument that Generative AI tools (e.g. GitHub Copilot) are too helpful for novice programmers and might contribute to poor learning outcomes. Researchers and educators have been exploring the use of “guardrails” to constrain the output of these tools, for example, by providing guidance or analogous examples, rather than complete code. https://cs50.ai/ is … Read more

[TAKEN] ChatGDB

Debugging is challenging for novice programmers. This project will design, implement and evaluate a chat-based interface to assist novice programmers to orchestrate debugging sessions using a natural language interface, supported by generative AI. If desired, the Introduction to Computing modules at TCD (ARM Assembly Language programming) could provide context for the project.

[TAKEN] Investigate timing issues with “post-quantum” cryptographic algorithm implementations

Due to the potential damage a cryptrographically relevant quantum computer could do to uses of widely used asymmetric cryptographic algorithms, a range of new “post-quantum” algorithms have been developed and are being widely deployed, e.g. in TLS in web browsers. This project is to investigate potential timing issues with implementations of such algorithms, likely reproducing … Read more

Scalable Estimation for Popularity-adjusted Latent Space Models for Network Data

In network modelling, edges are inherently interdependent: for instance, if you express interest in this project and contact me, it is more likely that a friend of yours, specifically one who shares similar interests and studies mathematics, will do the same. This interdependence complicates the statistical modelling of relational data, such as email communication networks. … Read more

Kernel density estimation and regression

In this project we are exploring non-parametric methods for the estimation of probability density functions and for regression. The interested Student must be comfortable with Statistics and Mathematics. The Student must do a search about kernel density estimation and Nadaraya–Watson kernel regression. You may also have a look in Prof. Tsybakov’s book “Introduction to nonparametric … Read more

Statistics in Marketing

This project is particularly for the Students in Statistics and Sustainability. The interested Student should first check the papers: Establishing the link: Does web traffic from various marketing channels influence direct traffic source purchases? | Marketing Letters (springer.com) Unveiling digital dynamics: Do digital media investments impact organic branded searches? | Journal of Marketing Analytics The … Read more

Statistics in Environmental Science

The project will deal with the statistical analysis of meteorological data. See for example here: 🌤️ Free Open-Source Weather API | Open-Meteo.com The interested Students, must do a good search in this or another relevant data, contact me for confirmation and then they can request the project.

Estimating the number of species

ELIGIBILITY: This project is for a student on the M.Sc. in Statistics and Data Science. In this project, we’ll look at the various ways in which ecologists have attempted to answer the question ‘How many species are there?’. Some of these methods are statistical, and we’ll focus on those, but we’ll also take a look … Read more

Simulating Populations and their use of Language in Cooperation

Individuals in a species (esp. humans) may cooperate and they may communicate. Recent decades have seen quite a lot of efforts to use computational simulation — so-called individual/agent-based modelling — to investigate what cooperation is , and how communication factors into it, striving to fit this into a general picture of varying levels of survival … Read more