Communication and public engagement strategy of the action
|STRATEGY 1 WEBSITE MONTHS 1 – 24|
A single website dedicated to the BIMEDA where visitors can (without a login process) find details for the fellowship and the project, check its progress through announcements, invitations for other outreach activities (e.g. mini-symposium) and project deliverables (e.g. open access journal articles, presentations) by electronic methods such as PDF (Portable Document Format) and via networked and non- networked online technologies, such as a RSS feed and Twitter and find structured academic and non-academic information on big medical data use (e.g. scientific reading lists, newspaper articles and interviews, reports, videos).
Information about the BIMEDA project will also be listed on other relevant websites such as on the ‘on-going research projects’ section of the International Network of the UNESCO Chair in Bioethics website.
|STRATEGY 3 MARIE SKŁODOWSKA-CURIE AMBASSADOR MONTHS 1 – 24|
The fellow will actively involve university staff, students and researchers as well as the public and promote the active role of the European Union in addressing issues big medical data not only at the policy level but also through funding opportunities for research. I will present my research via the use of established outreach activities at the University of Nottingham and the secondments (‘Research Cafés’, ‘Friday lunchtime lecture’, ‘Research Seminar Series’, ‘Research Showcase’ and ‘Science Outreach Programme’ events).
|STRATEGY 4 LOCAL MEETING MONTH 23|
The fellow will approach and involve local Patient Advisory Groups so as to communicate the results and the theoretical framework of the project for critically analysing big primary care data analytics’ social, technical and ethical challenges and explore ways these results, the theoretical framework and the developments in big medical analytics can reach more members of the wider local community who are also users of local healthcare services, such as an e-Newsletter distributed via social media (e.g. Facebook, Twitter) and the project’s website.
|STRATEGY 5 INTERVIEWS / ARTICLES MONTH 21|
Disseminate the results and the theoretical framework of the BIMEDA project to the public via more open, respectable, popular media, online and in print (e.g. BBC, Guardian, Wired). For this, I will seek assistance and advice from experienced press officers at the University of Nottingham and follow the new Guidelines for Scientists on Communicating with the Media (developed by the Social Issues Research Centre in collaboration with the Amsterdam School of Communication from a European Commission FP6 project).
Dissemination and exploitation of the research results, and intellectual property
|STRATEGY 1 CONFERENCE PRESENTATIONS, JOURNAL ARTICLES & BOOK PROPOSAL MONTHS 18-20|
|STRATEGY 2 MINI-SYMPOSIUM MONTH 23|
A mini-symposium in Nottingham for graduate students, scholars, clinical practitioners and the public to discuss the challenges and opportunities of big data analytics in healthcare, focusing on national programmes such the English NHS Care.data, present the BIMEDA project’s theoretical framework for critically analysing big primary care data analytics’ social, technical and ethical challenges as well as results of related empirical studies and network so as to gradually build a research group on big data ethnography; something that is currently missing from social sciences in academic environments.
Open invitations for participation will be distributed through posters and posts on social media and on local media, online and in print.
|STRATEGY 3 ACADEMIC TEACHING MATERIAL MONTH 24|
Academic teaching materials with the comparative investigation and the theoretical framework for critically analysing big primary care data analytics’ social, technical and ethical challenges (e.g. data accessibility, data accuracy, data relationality, research automation, correlations, data context and interpretation, anonymity and informed consent) for use in (social science, political science, healthcare, informatics) undergraduate and postgraduate courses related to personal data and ethics, big data ethnography and health informatics.