Workplan and methodology

In order to achieve its objectives, SMART has been divided into 11 research and development work packages. The work packages are carried out in the context of four distinct project streams which build on and inform each other:

  • Status Quo Analysis,
  • Citizen Attitudes,
  • Technology Infrastructure and
  • Best Practice.
  • These work packages are complemented by three others designed to ensure that the SMART project is fully compliant with the highest standards of project management in international collaborative research which groups nearly forty researchers from twenty institutions in fifteen countries. Thus work package 1 deals with project management and co-ordination across the entire SMART project while work package 13 provides an in-built evaluation function. Work package 14 serves to focus effort on dissemination of the project results across the widest possible range of audiences.

    Status Quo Analysis

    The status quo analysis will also map out characteristics of laws governing surveillance and not deal solely with applications of smart surveillance on a sector-by-sector basis or the technological infrastructure. By combining an analysis of how, why and when smart surveillance may be used in multiple application sectors, with a risk analysis for telecoms infrastructure and cyberspace and a structured understanding of the legal framework, the status quo analysis will provide the prerequisite knowledge to enable the SMART team to move on to examine citizen attitudes before venturing to come up with design solutions and new legal safeguards.

    Citizens Attitudes

    SMART will use qualitative research methodologies to carry out a study aimed at establishing the attitudes of citizens to smart surveillance and privacy. Focus group discussions will be carried out amongst citizens in the participating member states. Each group will consist of between 8 to 10 participants. A minimum of two Group Discussions will be carried out in each participating country. The SMART Research team will also benefit from any pertinent findings obtained in the course of quantitative and qualitative research on consumer attitudes to privacy resulting from the CONSENT project (SSH 2009 – Grant Agreement 244643).

    Criteria for Fairness

    The SMART project will develop formal criteria for the privacy friendly use of smart surveillance thus producing “fairness criteria”. The development of those criteria will take into account technology potential, proportionality issues and privacy risks as well as existing criteria and best/good practices developed in other surveillance contexts.

    Best Practice

    Based on previous research, the formulation of Criteria for Fairness in particular, the SMART project will develop a toolkit for policy makers and other stakeholders.

    1. Criteria for fairness covering efficiency, proportionality, privacy and data protection

    The SMART project will develop formal criteria for the privacy friendly use of smart surveillance thus producing “fairness criteria”. The development of those criteria will take into account technology potential, proportionality issues and privacy risks as well as existing criteria and best/good practices developed in other surveillance contexts.

    2. From Best practice to System Design /Operating guidelines + Model Law containing safeguards

    The SMART project will develop a toolkit for policy-makers, system designers, legislators and police/security forces to implement and promote a best practice approach based on the fairness criteria established during the previous phase of the project.

    The SMART project will establish the dynamic interrelationship between the different sources of regulation and develop measures appropriate to minimise the risks to privacy and data protection. While the final distribution of measures that will form part of the toolkit will depend on the findings and analyses of the earlier research, possible elements which will be considered include:

    • Technical features and operational procedures which would be integrated into System Design and Operating Guidelines.
    • Regulatory, self-regulatory and co-regulatory measures including a Model Law aimed at achieving compliance for smart surveillance with Council Framework Decision 2008/977/JHA on the protection of personal data processed in the framework of police and judicial cooperation in criminal matters
    • Development of industry standards
    • Educational measures

    An explanatory text to explain the choices made and the implications of different recommended paths of action will also form part of the toolkit.

    Info Box

    Title: SMART (Scalable Measures for Automated Recognition Technologies)
    Funding scheme: Collaborative project (small or medium scale focused research project)
    Grant agreement no.: 261727
    Duration: 36 months (June 2011 - May 2014)
    Co-ordinator: University of Malta
    Co-ordinating person: Professor Joseph Cannataci
    EU funding: € 3.456.017
    July 2017
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