フォロー
Mhairi Aitken
Mhairi Aitken
The Alan Turing Institute
確認したメール アドレス: turing.ac.uk
タイトル
引用先
引用先
Why we still don’t understand the social aspects of wind power: A critique of key assumptions within the literature
M Aitken
Energy policy 38 (4), 1834-1841, 2010
5892010
Wind power and community benefits: Challenges and opportunities
M Aitken
Energy policy 38 (10), 6066-6075, 2010
4532010
The relationship between trust in AI and trustworthy machine learning technologies
E Toreini, M Aitken, K Coopamootoo, K Elliott, CG Zelaya, A Van Moorsel
Proceedings of the 2020 conference on fairness, accountability, and …, 2020
3472020
Public responses to the sharing and linkage of health data for research purposes: a systematic review and thematic synthesis of qualitative studies
M Aitken, J de St. Jorre, C Pagliari, R Jepson, S Cunningham-Burley
BMC medical ethics 17, 1-24, 2016
2942016
Locating ‘power’in wind power planning processes: the (not so) influential role of local objectors
M Aitken, S McDonald, P Strachan
Journal of environmental planning and management 51 (6), 777-799, 2008
1612008
Wind power planning controversies and the construction of ‘expert’and ‘lay’knowledges
M Aitken
Science as culture 18 (1), 47-64, 2009
1422009
A three-dimensional view of public participation in Scottish land-use planning: Empowerment or social control?
M Aitken
Planning theory 9 (3), 248-264, 2010
1222010
Practices and rationales of community engagement with wind farms: awareness raising, consultation, empowerment
M Aitken, C Haggett, D Rudolph
Planning Theory & Practice 17 (4), 557-576, 2016
1182016
Grassroots energy innovations: The role of community ownership and investment
C Haggett, M Aitken
Current Sustainable/Renewable Energy Reports 2, 98-104, 2015
1132015
Moving from trust to trustworthiness: Experiences of public engagement in the Scottish Health Informatics Programme
M Aitken, S Cunningham-Burley, C Pagliari
Science and Public Policy 43 (5), 713-723, 2016
1052016
Simulating the effects of social presence on trust, privacy concerns & usage intentions in automated bots for finance
M Ng, KPL Coopamootoo, E Toreini, M Aitken, K Elliot, A van Moorsel
2020 IEEE European symposium on security and privacy workshops (EuroS&PW …, 2020
912020
Consensus statement on public involvement and engagement with data intensive health research
M Aitken, MP Tully, C Porteous, S Denegri, S Cunningham-Burley, ...
International Journal of Population Data Science 4 (1), 2019
872019
Community benefits from offshore renewables: The relationship between different understandings of impact, community, and benefit
D Rudolph, C Haggett, M Aitken
Environment and Planning C: Politics and Space 36 (1), 92-117, 2018
812018
Artificial intelligence, human rights, democracy, and the rule of law: a primer
D Leslie, C Burr, M Aitken, J Cowls, M Katell, M Briggs
arXiv preprint arXiv:2104.04147, 2021
782021
Establishing a social licence for Financial Technology: Reflections on the role of the private sector in pursuing ethical data practices
M Aitken, E Toreini, P Carmichael, K Coopamootoo, K Elliott, ...
Big Data & Society 7 (1), 2053951720908892, 2020
712020
Changing climate, changing democracy: a cautionary tale
M Aitken
Environmental Politics 21 (2), 211-229, 2012
462012
Community benefits from offshore renewables: good practice review
DP Rudolph, C Haggett, M Aitken
382014
Who benefits and how? Public expectations of public benefits from data-intensive health research
M Aitken, C Porteous, E Creamer, S Cunningham-Burley
Big Data & Society 5 (2), 2053951718816724, 2018
362018
de St. Jorre J, Pagliari C, Jepson R, Cunningham-Burley S. Public responses to the sharing and linkage of health data for research purposes: a systematic review and thematic …
M Aitken
BMC Med Ethics 17 (1), 73, 2016
352016
Public preferences regarding data linkage for health research: a discrete choice experiment
M Aitken, G McAteer, S Davidson, C Frostick, S Cunningham-Burley
International Journal of Population Data Science 3 (1), 2018
332018
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