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Data Science and Services

Trilateral’s Data Science Team works with private and public sector clients to help meet the demands of a data-driven society. Our work focuses on understanding and mapping policies, requirements and impacts associated with innovative data practices. We work with our Technology team to combine technical and social science insights into fields like open data, eGovernment, smart cities, data analytics, e-learning, smart manufacturing and security technologies. These multi-disciplinary insights enable responsible, sustainable, scalable data practices for our clients.

  • Technology assessment (e.g., Privacy Impact Assessments in e-learning services and benchmarking for novel data analytics practices)
  • Policy and regulatory advice for public and private clients  (e.g., research and policy priorities to boost responsible big data practice, recommendations on open  government services for cities and municipalities, data management services)
  • Research services (e.g., large scale surveys of industry practice, big data benchmarking standards and certification, quantitative assessments of policy compliance)
  • Stakeholder engagement and dissemination (e.g., event management, multi-project symposiums, demonstrations, project websites, social media and publishing)

We work in close partnership with a variety of stakeholders ranging from policy makers to research scientists and civil society organisations to large industry. Trilateral Research’s Data Science team provides its services with a focus on

  • Enhancing the data practices within organisations and providing advice on sustainable and scalable data-driven innovation.
  • Exploring the barriers, challenges and potential solutions affective innovation capacity.
  • Collaborating with external stakeholders, e.g., universities, policy makers and industry to build state of the art solutions.

Selected Projects

PREP1: A SOCIAL MEDIA ANALYSIS TOOL FOR PREPAREDNESS

In February 2017, Trilateral will begin a new project, PREP1: a social media analysis tool for PREParedness. Trilateral will collaborate with the

BYTE – The Big Data roadmap and cross-disciplinary community for addressing societal externalities

The BYTE project aimed assist European science and industry in capturing the potential benefits of big data and addressing the potential negative impacts. The overall g...

CRISP – Evaluation and Certification Schemes for Security Products

CRISP was a three-year project (April 2014 – March 2017) that aimed to facilitate a harmonised playing field for the European security industry by developing a ro...

DEVELOP – Developing Careers through Social Networks and Transversal Competencies

The DEVELOP project will develop a personalised learning environment for career development. The environment will provide assessment of transversal social capital to hi...

CLARITY – Champion eGovernment appLications to increAse tRust, accountabIlity and TransparencY in public services

The CLARITY project will support European Members States take up of responsible eGovernment applications by mobilising a multidisciplinary network of stakeholders acros...

PROTEUS – Scalable online machine learning strategies for predictive analytics and real-time interactive visualization

PROTEUS will investigate and develop ready-to-use scalable online machine learning algorithms and interactive visualization techniques for real-time predictive analytic...

ENERGIC-OD – European NEtwork for Redistributing Geospatial Information to user Communities – Open Data

ENERGIC-OD will develop Virtual Hubs for the brokerage of open geospatial data in Europe. The project will also develop a series of applications to demonstrate the util...

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Selected Publications

Rachel Finn, Hayley Watson and Kush Wadhwa, “Mining social media for effective crisis response: machine learning and disaster response” in Big data, surveillance and crisis management: the dark side of big data Edited by Kees Boersma and Chiara Fonio, London: Routledge.

Wright, David and Rachel L. Finn, “Should drones be subject to privacy impact assessments?”, in Bart Custers (ed.), The Future of Drone Use, TMC Asser Press, 2016.

Finn, Rachel L. and Anna Donovan, “Big data, drone data: Privacy and ethical impacts of the intersection between big data and civil drone deployments” in Bart Custers (ed.), The Future of Drone Use, TMC Asser Press, 2016.

Finn, Rachel L., and David Wright, “Privacy, data protection and ethics for civil drone practice: A survey for industry, regulators and civil society organisations”, Computer, law & security review, vol. 32, no. 4, pp. 577-586, 2016.

Wessels, Bridgette, Rachel Finn, Kush Wadhwa, Thordis Sveinsdottir, Mobilising Data in a Knowledge Society, Amsterdam: Amsterdam University Press.

Kamara, Irene, Thordis Sveinsdottir and Simone Wurster, “Raising Trust in Security Products and Systems through Standardisation and Certification: The CRISP Approach”, Proceedings of ITU Kaleidoscope 2015 – Trust in the Information Society, Madrid, 9-11 December 2015.

Watson, Hayley and Rachel L. Finn, “Ethical and Privacy Implications of the use of Social Media during the Eyjafjallajokull Eruption Crisis”, International Journal of Information Systems for Crisis Response and Management, Vol. 6, Issue 4, 29-41, October-December 2014.

Finn, Rachel L., and Kush Wadhwa, “The ethics of ‘smart’ advertising and regulatory initiatives in the consumer intelligence industry”, Info, Vol. 16, No. 3, 2014.

See All Trilateral Publications
Selected Presentations
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