Senior Research Fellow
Luc conducts human-centred computing research to understand how data and algorithms impact society. They work to make digital power visible to the public and guide the development of accountable, sustainable, and safe algorithms for all.
A range of technologies are transforming our daily lives with a profound impact on individuals and society more broadly. From social media algorithms to data-driven decision-making systems, these technologies are not just tools; they shape our choices, relationships and interactions.
Despite the convenience they offer, many of these technologies lack transparency and accountability, creating unintended consequences that can harm marginalised groups and perpetuate inequalities. There is a need for evidence-based approaches to assessing the risks and benefits of algorithmic infrastructures.
Our research guides the development of algorithms and infrastructures that are sustainable, safe, and serve the public interest, helping to ensure that the power of digital technologies is accountable to everyone.
We take a human-centred computing approach to evaluate the impact of data infrastructure and algorithms on society. Our research is built on three core areas:
By critically assessing the impact of algorithms and data infrastructures, we provide valuable insights that inform policymakers, technology developers, and the public. Our goal is to create a more accountable and transparent digital environment that minimizes harm, promotes equity, and ensures that technology works for everyone.
Our work also helps to shape the future of algorithmic accountability, making technology safer, more sustainable, and inclusive. As we continue to evaluate the risks and benefits of data-driven technologies, we aim to provide evidence-based solutions that address the challenges posed by algorithmic infrastructures and guide their responsible development.
DPhil Student
Andrew holds a B.S. in Applied Mathematics from Yale University and an MSc in Social Data Science from the OII. He is a Clarendon Scholar and was previously a Thouron Prize winner at the University of Cambridge (Pembroke College).
DPhil Student
Lujain is a DPhil student in Social Data Science at the OII. Her research sits at the intersection of AI governance and human-centred computing, particularly examining how user autonomy and control are undermined in human-AI interactions.
DPhil Student
Juliette is a Clarendon Scholar at the OII, conducting research on data access, privacy-enhancing technologies, and algorithm auditing.
Research Assistant
Sofia completed her MSc in Social Data Science and now works as a Research Assistant at the OII, focusing on algorithmic fairness, machine learning, and interactive data visualization.
Postdoctoral Researcher
Alex develops approaches to statistics and machine learning which provide formal privacy guarantees to individuals, using techniques such as local differential privacy.
MSc Student
Francisco is a Chevening-WHT scholar doing a MSc student in Social Data Science, they have a master in Sociology at UFRJ and focus their research on digital methods, digital politics and culture.
Media narratives on migration are perceived to have a significant impact on policy decisions and public attitudes toward migration. The project applies tools and methods to enable practitioners to make more effective policy decisions.
Our work investigates applications of large language models (LLMs) in healthcare settings, with a particular focus on interactions between LLMs and human users. The project focuses on LLMs for medical self-diagnosis.
This project investigates how human control is currently undermined in human-AI interactions. It presents sociotechnical approaches to examine mechanisms of control, and empower people in their interactions with increasingly advanced AI systems.