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 | 589 | 2010 |
Wind power and community benefits: Challenges and opportunities M Aitken Energy policy 38 (10), 6066-6075, 2010 | 453 | 2010 |
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 | 347 | 2020 |
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 | 294 | 2016 |
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 | 161 | 2008 |
Wind power planning controversies and the construction of ‘expert’and ‘lay’knowledges M Aitken Science as culture 18 (1), 47-64, 2009 | 142 | 2009 |
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 | 122 | 2010 |
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 | 118 | 2016 |
Grassroots energy innovations: The role of community ownership and investment C Haggett, M Aitken Current Sustainable/Renewable Energy Reports 2, 98-104, 2015 | 113 | 2015 |
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 | 105 | 2016 |
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 | 91 | 2020 |
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 | 87 | 2019 |
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 | 81 | 2018 |
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 | 78 | 2021 |
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 | 71 | 2020 |
Changing climate, changing democracy: a cautionary tale M Aitken Environmental Politics 21 (2), 211-229, 2012 | 46 | 2012 |
Community benefits from offshore renewables: good practice review DP Rudolph, C Haggett, M Aitken | 38 | 2014 |
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 | 36 | 2018 |
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 | 35 | 2016 |
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 | 33 | 2018 |