BYTE Project Overview
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Author: Kush Wadhwa, Trilateral Research & Consulting, LLP Presented at: BYTE WP2 Workshop, Lyon, 11 Sept 2014
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BYTE Project Overview
- 1. BYTE: Big data roadmap and cross-disciplinary community for addressing societal externalities BYTE project overview Kush Wadhwa Trilateral Research & Consulting, LLP BYTE project coordinator BYTE WP2 Workshop Lyon, 11 Sept 2014
- 2. Mobilising found data Big data Data exhaust Dark data @BYTE_EU www.byte-project.eu Found data Data exhaust Dark data
- 3. Project details: BYTE •Big data roadmap and cross-disciplinarY community for addressing socieTal Externalities (BYTE) project •March 2014 – Feb 2017; 36 months • Funded by DG-CNCT: €2.25 million (Grant agreement no: 619551) • 11 Partners • 10 Countries @BYTE_EU www.byte-project.eu
- 4. Key outcomes •Define research efforts and policy measures necessary for responsible participation in the big data economy •Vision for Big Data for Europe for 2020, incorporating externalities • Amplify positive externalities • Diminish negative ones •Roadmap • Research Roadmap • Policy Roadmap •Formation of a Big Data community • Implement the roadmap • Sustainability plan @BYTE_EU www.byte-project.eu
- 5. Process for policy recommendations WP1: Context setting WP2: Literature review of externalities WP3: Case studies WP4: Horizontal analysis @BYTE_EU www.byte-project.eu WP5: Foresight exercise to identify future needs WP6: Research and policy roadmap Building the BYTE big data community
- 6. Big data concerns: externalities • The effects of a decision by stakeholders (e.g., governments, industry, scientists, policy-makers) that have an impact on a third party (especially members of the public) • May be positive or negative Economic • Boost to the economy • Innovation • Increase efficiency • Smaller actors left behind • Shrink economies Legal • Privacy • Data protection • Data ownership • Copyright • Risks associated with inclusion & exclusion Social & Ethical • Transparency • Discrimination • Methodological difficulties • Spurious relationships • Consumer manipulation @BYTE_EU www.byte-project.eu Political • Reliance on US services • Services have become utilities • Legal issues become trade issues
- 7. Case studies: a sectoral approach Environmental data • European Space Agency • Earth observation programme, Copernicus Energy • Statoil Utilities / Smart Cities • Siemens Cultural Data • The European Library @BYTE_EU www.byte-project.eu Health •GOSgene Initiative, University College London Crisis Response Transport •DNV GL
- 8. Roadmap(s) Case study insights will be consolidated and used to build two roadmaps: 1. A research roadmap that focuses on what research, knowledge, technologies and skills are necessary to capture a greater share of the big data market by Europe 2. A policy roadmap for the development, use, re-use and linking of big data These will be produced in collaboration with stakeholders, especially advisory board members and members of the big data community. @BYTE_EU www.byte-project.eu
- 9. The big data community Policy-makers Big data community Industry Academics Legal experts Civil society organisations @BYTE_EU www.byte-project.eu •Initially comprises AB members •Intended to be as large as possible •Final form to be determined •A virtual and physical presence is intended •Possibly organised into different working groups, tackling specific questions •Will implement the BYTE Roadmap(s)
- 10. Key outputs Report Delivery date D3.2: Case study reports on the positive and negative externalities associated with the use of big data in different sectors @BYTE_EU www.byte-project.eu May 2015; (M15) D5.1: The BYTE vision for the use of big data in five years Feb 2016; (M24) D6.1: A BYTE research and policy roadmap for big data Aug 2016; (M30) D7.3: Final report and policy guidelines Feb 2017; (M36)
- 11. Key milestones Event Location Approx. Date Disciplinary focus groups France, Norway, the Netherlands and Italy @BYTE_EU www.byte-project.eu March 2015 Validation workshop on horizontal analysis Ireland Aug 2015 Visioning workshop The Netherlands Jan 2016 Validation workshop on the BYTE roadmap Austria July 2016 Big data community workshop Italy Dec 2016 BYTE final conference Hungary Feb 2017
- 12. Today’s workshop Will focus on identifying the potential externalities (impacts) that should be considered within the case study research. Will showcase presentations from: •Work package 1 – Setting the stage on big data •Work package 2 – Elements of societal impact •Academic and industry experts on dealing with the societal impacts of big data Your comments, criticisms and further ideas are welcome and we appreciate your feedback. @BYTE_EU www.byte-project.eu
- 13. QUESTIONS Any questions? Key contacts: ◦ Kush Wadhwa, kush.wadhwa@trilateralresearch.com ◦ Rachel Finn, rachel.finn@trilateralresearch.com Thank you for your participation! @BYTE_EU www.byte-project.eu
Hinweis der Redaktion
- At the present time, big data is largely comprised of two types of data resources: Dark data – which refers to vast, un-used and un-mined lakes of data Data exhaust – which refers to the residual data that is the product of the completion of other processes, services, etc. – e.g., location data from navigation services, etc. Dark data may be comprised of data exhaust, and some data exhaust may lie dormant as dark data. However, the key to uncovering new information, capturing innovation and identifying efficiencies is to transform these data into Found data. Found data (adapted from the Financial Times article “Big data: Are we making a big mistake?”, 28 March 2014) – Data elements that, when linked or processed, yield new connections and insights However, we must always be aware of the negative impacts that could result from these mobilisations – e.g., potential for discrimination, spurious relationship that could lead to poor decision-making, etc. BYTE aims to support stakeholders in mobilising big data and taking advantage of the associated opportunities, whist diminishing the potential negative externalities that could also result.
- Production of a roadmap outlining a plan of action to enable European scientists and industry to capture a proportionate share of the big data market. Provision of assistance to industry in capturing positive externalities (efficiencies, new business models, etc.) and addressing potential negative externalities before beginning a project, initiative or programme. A series of clear and precise future research needs and policy steps
- Bullet one – how we define an externality – as an “impact” Public opinion surveys reveal that citizens are concerned about many of these issues, especially privacy and data protection.
- Disciplinary focus groups Intended to examine the externalities produced within each of the case studies, and each of the case study sectors 7 focus groups, focusing on each of the case study sectors Will be conducted in France, Norway, the Netherlands and Italy