Oliver is currently working as a Senior Research Associate at Lancaster University.
Motivated by growing environmental impact and social injustice my research focuses on how computing and data science can be utilised to promote environmental and social justice. I look to promote environmental and social justice through research-led teaching that promotes responsible computing in the modern computer science curriculum.
Currently I am:
- collaborating closely with industry and policy makers to encourage digital technology as the enabler of collaborative and low-carbon freight deliveries in urban environments,
- developing digital technology that promotes social justice for gig-economy parcel delivery workers
- designing decision support tools that leverage big, heterogeneous data in smart cities and campuses that promote reductions in energy consumption and pollution
Throughout my research career I have applied a mixed methods approaches grounded in data science (analytics) and human-computer interaction (HCD, IxD).
To develop high impact research that speaks to a variety of stakeholders (e.g. consumers, workers, policy makers, industry) my research leverages:
- large quantities of quantitative heterogenous data collected from sensor deployments, logged device data, delivery manifests, and data feeds
- field trials and action research
- co-design workshops, qualitative photo-ethnography, home technology tours, focus groups and semi-structured interviews.
I have used these methods to work closely with key stakeholders to understand the interconnectivity between infrastructure (e.g. logistics, energy, environment), digital technology and practices.
Through this work, I have gained a holistic understanding of the following areas:
- urban freight traffic and parcel generation
- sustainable logistics and e-vehicles
- environmental and social impact of ICT
- energy consumption and management on campus and in cities
- senior citizens and digital services
I am currently using these understandings to help run ethical and secure, smart cities trials across the EU and Japan and develop new decision support and analytical tools with policy makers and energy experts in Central London and on Lancaster University’s campus.
- Freight Traffic Control 2050: transforming the energy demands of last-mile urban freight through collaborative logistics (EPSRC EP/N02222X/1) – Urban freight is contributing significantly to an increasing level of air pollution and an expansion in the carbon footprint of last mile deliveries. My role is to design, implement and co-create a platform which serves as a hub to enable explorations and experimentation with sustainable collaborative last mile logistics. Leveraging mixed-methods (both qualitative and quantitative) and data science approaches, and driven by competitors and our close industry partners (TNT, Transport for London, Gnewt Cargo), the hub will bring together domain expertise, new analytics of novel data sets (delivery manifests, stopping points, GPS traces of walking and driving, air pollution, congestion) to develop a set of interactive tools and visualisations that can help reduce congestion, minimise environmental externalities and encourage collaborative logistics through rethinking urban design and the roles of digital technology in this space.
- Energy Information System (EIS) (Faculty Funded) – Lancaster University has targeted significant reduction in energy consumption by 2020. Contributing towards Lancaster University’s “Living Lab”, I have been instrumental in the development of the Energy Information System (EIS). EIS leverages existing building management systems, IoT technology and energy sensing infrastructure to create a data platform for energy research, reduction and education.
This role has included: design and implementation of a system for the large scale collection of campus wide energy data; installation and maintenance of a data hub for data storage and exposing the data; engagement on data input and output with a large set of stakeholders and researchers from Lancaster University; working closely with the energy and building teams in facilities; and, providing oversight as the institutional ICT services of Lancaster University incorporate the system into their critical infrastructure to support innovations in Digital Lancaster and the “Living Lab”. Currently I am advising an intern in the design and implementation of a decision support dashboard for the Energy Manager, Building Manager and Campus Manager.
- BigClouT (EU H2020 723139) – With cultural, societal and geographical differences, smart city applications across the globe need to be designed and trialled in a secure and ethical manner in order to protect citizens and their data. BigClouT aims to develop strong citizen engagement between IoT, smart cities applications and citizens in the EU and Japan. My role on this project is to aid in the leadership of the workpackage overseeing the design of field trials at 4 cities (Bristol, Grenoble, Fujisawa, Tsukuba), and ensuring ethical treatment of citizens and their data by aiding in the development and delivery of a coherent trial plan across all four trial cities. My role has required me to lead workpackage telco’s, manage project partners and present workpackage updates at EU/Japan face-to-face meetings.
Oliver completed his PhD at the School of Computing and Communications at Lancaster University under the supervision of Dr. Mike Hazas in 2016. The focus of this research was on developing mixed-methods approaches to reduce the impacts of media and IT in the home through the design of digital technologies. THESIS
- Socio-digital Sustainability research group at Lancaster University.
- Energy Lancaster at Lancaster University
- Data Science Institute at Lancaster University
- Mobile Age – Co-design, co-creation, and participatory design to encourage the engagement of senior citizens with digital technology, open data and open government services. Through the project Lancaster University look to engage with stakeholders in Cumbria and across the North West and build new methods for co-creation as well as use data science techniques to provide digital services and technology that empower senior citizens.
- Recall – Understanding the role of digital technology and pervasive display in the role of increasing cognitive recall.