Artificial Intelligence: UK Parliamentary Inquiry Written Evidence Horizon Digital Economy Research
(2017)
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Koene, A. (2017). Artificial Intelligence: UK Parliamentary Inquiry Written Evidence Horizon Digital Economy Research
Joint written evidence submitted by Dr Ansgar Koene and Dr Yohko Hatada (ROB0057) (2016)
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Koene, A., & Hatada, Y. (2016). Joint written evidence submitted by Dr Ansgar Koene and Dr Yohko Hatada (ROB0057)Dr Ansgar Koene is a Senior Research Fellow at Horizon Digital Economy Research (http://www.horizon.ac.uk). Horizon is a Research Institute at The University of Nottingham and a Research Hub within the RCUK Digital Economy programme. Horizon brings t... Read More about Joint written evidence submitted by Dr Ansgar Koene and Dr Yohko Hatada (ROB0057).
Response to Lords EU Internal Market Sub-Committee inquiry on “Online platforms and the EU Digital Single Market" (2016)
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Koene, A. (2016). Response to Lords EU Internal Market Sub-Committee inquiry on “Online platforms and the EU Digital Single Market"
Written evidence submitted by Dr Ansgar Koene, Horizon Digital Economy Research Institute, University of Nottingham (IPB0066) (2016)
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Koene, A. (2016). Written evidence submitted by Dr Ansgar Koene, Horizon Digital Economy Research Institute, University of Nottingham (IPB0066)Dr Ansgar Koene is a Senior Research Fellow at Horizon Digital Economy Research (http://www.horizon.ac.uk). Horizon is a Research Institute at The University of Nottingham and a Research Hub within the RCUK Digital Economy programme. Horizon brings t... Read More about Written evidence submitted by Dr Ansgar Koene, Horizon Digital Economy Research Institute, University of Nottingham (IPB0066).
Using online news comments to gather fast feedback on issues with public health messaging: The Guardian as a case study
Report
McClaughlin, E., Nichele, E., Adolphs, S., Barnard, P., Clos, J., Knight, D., McAuley, D., & Lang, A. (2021). Using online news comments to gather fast feedback on issues with public health messaging: The Guardian as a case study. Arts and Humanities Research Council (AHRC), grant reference AH/V015125/1This study uses corpus linguistics to analyse opinions on messaging and public health measures from one resource—comments posted in response to articles containing references to borders from The Guardian online. Overall, commenters made international... Read More about Using online news comments to gather fast feedback on issues with public health messaging: The Guardian as a case study.
Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online
Report
McClaughlin, E., Nichele, E., Adolphs, S., Barnard, P., Clos, J., Knight, D., McAuley, D., Aydt, M., Tom, T., & Lang, A. (2022). Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online. University of Nottingham: AHRC/UKRIThe Coronavirus Discourses project supports public health partners Public Health Wales, Public Health England, and NHS Education for Scotland in addressing key challenges that the coronavirus pandemic presents in terms of understanding the flow and i... Read More about Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online.
Response to Consultation on the Government's Regulatory Proposals Regarding Consumer Internet of Things (IoT) Security
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McAuley, D., Koene, A., & Chen, J. (2019). Response to Consultation on the Government's Regulatory Proposals Regarding Consumer Internet of Things (IoT) Security
Horizon Response to the Public Consultation on the European Commission’s White Paper on Artificial Intelligence - A European Approach [2020]
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McAuley, D., Koene, A., & Chen, J. Horizon Response to the Public Consultation on the European Commission’s White Paper on Artificial Intelligence - A European Approach [2020]
Response to the Public Consultation on the European Commission’s European Strategy for Data
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McAuley, D., Koene, A., & Chen, J. (2020). Response to the Public Consultation on the European Commission’s European Strategy for Data