People
Digital Platforms
Social Justice

Oliver is a post-disciplinary researcher and technology designer at Lancaster University who delivers multi-stakeholder projects through mixed-methods approaches to the co-design and development of tech focusing on doing good for people and the environment. Oliver is also an associate of Cetis, a technology cooperative focusing on consulting in EduTech, data analytics and dashboards.

MAIN RESEARCH ROLES: user research, co-design, human centred design (HCI), data science pipelines, data visualisation, data and database management.

EXPERTISE AND INTERESTS: Multi-disciplinary research, qualitative and quantitative methods, bid-writing, team leadership, co-design, design workshops, technology prototyping, critical design, report writing, service design, tech for good, environmental and social justice, data science in transport and logistics, digital technology policy, IoT, Big Data, sensor networks, data science, user centred design, Smart Cities, home energy.

Current research projects:

• FlipGig: Transforming last mile logistics in the gig economy to be fairer and more sustainable. EPSRC funded, tackling the growing issues of unfair work and sustainability on last-mile deliveries of food and goods. Working with Unions and workers to empower and protect couriers.

Previous research projects:

• Switch-gig: Exploring digital opportunities to switch the gig-economy to fair and just work. Not Equal funded (EPSRC Network+) research project exploring workers rights of food delivery riders in the platform gig economy. Cultural probes, workshops, and provocative design.
• Freight Traffic Control 2050 (FTC2050) EPSRC funded, enabling collaborative and sustainable last mile logistics. I led work on the data science pipeline for transport data, and user research with industry and policy stakeholders and to design new collaborative services for last-mile logistics.
• Energy Information System (EIS) Energy Lancaster: Prototyping and building a data hub for Lancaster University’s energy and building data as a proof of concept for the Lancaster University “Living Laboratory” and Data Science (DSI).

TECHNOLOGY USED: Kanban, Java, Python, C# (.NET), MySQL, MongoDB, CKAN, WordPress, github, gitlab, Linux, SVN, LaTeX, Spark, HTML, CSS, Javascript, PHP, Mac OS, VMWare, QGIS, Node.js, Matlab

Academic Publications: [Google Scholar] [Academic Profile]