Applications are invited for a Research Associate position on Data mining, Analytics, Privacy Protocols and Machine Learning aspects of the EPSRC Databox Project, ideally with a focus on edge computing, data mining, and designing, building, and implementation of efficient and scalable privacy protocols and machine learning algorithms, in conjunction with the Databox system, and supporting the applications through the deployments and studies.
A new Report, commissioned by the Horizon Digital Research Institute, looks at the industry and consumer market engagement opportunities of the Databox project. The report looks at market engagement with the Databox concept, as it emerges from a limited number of conversations with project stakeholders, business consultants and industry experts. It seeks to explore its value proposition for individuals, ‘data-rich’ companies and ‘data-poor’ companies.
In 2018 we will showcase a live engagement event and demonstrator of the ‘Future of the Living Room’ with the BBC R&D at FACT in Liverpool as part of the States of play exhibition and at the Western Balkans Culture Summit.
The Databox project will be have its first birthday this November. A lot has happened since last year, especially on the platform and analytics side. Please join us for the Year 1 roundup of the research, prototype, and demos of the Databox project. the event will be in the IET London and will include fun and interactive demos with personal data and IoT devices, in addition to research highlights, panel discussions, and debates around the next steps for the project over the next 2 years.
As part of Mozilla Festival 2017, we are inviting you to join us in Databox Hackathon event as a joint summit hosted under the Mozilla Festival pre-week events and a BBC R&D community event.
Please register here:
The full schedule is available on the Eventbrite page.
Last week, our team showcased our Databox platform at BT Innovation week at Adastral Park, Ipswich, UK. There were nearly 5000 visitors over 5 days at the show.
Over the week, our team talked to a mix of businesses – a couple of banks, healthcare providers, a housing association, IoT developers, BBC, Sky, EPSRC and BT researchers. We presented three use-cases: fraud detection, personalised adverts and health insurance. Many attendees were able to see use-cases for their sectors – typical questions were “how much will it cost?”, “when will it be ready/commercialised?”, “how centralised local datastore model is more secure than distributed”, “what would be the physical form factor of the product if deployed?”, “Does it require dedicated hardware?”, “Can it run in BT’s home hub”, “how data usage would be analysed”.
In addition to this, many industry attendees mentioned concerns around GDPR (EU – General Data Protection Regulation) and could see how Databox can help industries/businesses to address the personal data storage related issues. Most of the discussions were about the overall concept and were around “how would I do this/that” and discussion on new potential applications. Overall, the project got positive feedback and follow-up invitations from the audience.
Databox 0.1.2 has been released. Lots of bugs have been squished, ARM7 and 64 support for Raspberry PI and other ARM devices has been improved and the developer experience has been enhanced using local docker images. This is the best Databox release yet!