Dr Esperanza Miyake
Chancellor'S Fellow And Senior Lecturer
Journalism, Media and Communication
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Publications
- Facial femininity of potential rivals predicts jealousy in both heterosexual and lesbian women
- Dong Junzhi, Jones Benedict C, Miyake Esperanza, Shiramizu Victor K M
- Scientific Reports Vol 15 (2025)
- https://doi.org/10.1038/s41598-025-27643-0
- AI in Healthcare (Part 2/2) : Inclusive Strategies for Equitable Implementation in the UK
- Miyake Esperanza, Sekalala Sharifah, Perera Yureshya
- (2025)
- AI in Healthcare (Part 1/2) : Unveiling the Risks for Marginalised Populations
- Miyake Esperanza, Sekalala Sharifah, Perera Yureshya
- (2025)
- Valuing Public Sector Data in Scotland and Europe : Data Governance for Economic, Environmental and Social Development
- Daly Angela, Miyake Esperanza, Porter Andy, Berti Suman Anna, Nic Daéid Niamh, Switzer Stephanie, Tetley-Brown Lucille, Valero Julián
- Science, Policy and Law Series Science, Policy and Law Series, No. 3 (2024)
- https://doi.org/10.20933/100001329
- Virtual Influencers : Identity and Digitality in the Age of Multiple Realities
- Miyake Esperanza
- (2024)
- Valuing Public Sector Data in Scotland and Europe: Data Governance for Economic, Environmental and Social Development. : SUII Knowledge Exchange Programmes Summary Report
- Miyake Esperanza, Daly Angela
- (2024)
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Research Interests
- Responsible A.I.
- Data & A.I. governance, digital justice
- Surveillance and algorithmic bias
- Gender/Race and digital technologies
- Digital health
- Social Media, Apps, Platform culture
- Media, Consumer and Popular culture (e.g. films, anime/manga, music)
Projects
- EPSRC IAA: Accelerate AI adoption in NHS24 to support financially sustainable patient pathways
- Clark, Ruaridh (Principal Investigator) Orr, Dawn (Co-investigator) Maguire, Roma (Co-investigator) van der Meer, Robert (Co-investigator) Miyake, Esperanza (Co-investigator)
- The aim of the project is to accelerate AI adoption within NHS24 to support sustainable patient pathways in unscheduled care. The project focuses on how predictive AI can support effective and sustainable system design in triage services, with an emphasis on co-design and stakeholder-engagement frameworks to enable adoption.
- 01-Jan-2026 - 31-Jan-2027
- Socially Progressive AI Lab
- Noto La Diega, Guido (Principal Investigator) Miyake, Esperanza (Principal Investigator) Harkens, Adam (Co-investigator) Moncur, Wendy (Co-investigator) Weaver, Beth (Co-investigator) Nikou, Stavros (Co-investigator) Jones, Benedict (Co-investigator) Cunningham, Scott (Co-investigator) Dorfler, Viktor (Co-investigator) Liu, Xi (Co-investigator)
- The Socially Progressive AI Lab (SPAI-Lab) is the University of Strathclyde's hub for impactful research, collaborative bids, engagement and networking—shaping policy, technical design and regulation in Scotland, the UK and internationally. Scotland's AI Strategy 2026-2013 spotlights the Lab as a key example of "world-leading AI research".
Based in the Faculty of Humanities and Social Sciences, SPAI-Lab involves colleagues from all the faculties (Engineering, Science, Strathclyde Business School), bridging humanities‑led approaches and tech‑centred methods. The Lab's research and activities are guided by a commitment to socially progressive deployment of AI that advances equity, upholds human rights and serves the public good.
The SPAI-Lab brings together over 90 experts from across the University and is co-led by Dr Esperanza Miyake and Professor Guido Noto La Diega and is supported by a cross-Faculty, cross-departmental steering committee: Professor Wendy Moncur, Professor Beth Weaver,
Dr Stavros Nikou, Professor Ben Jones, Dr Xi Liu, Dr Adam Harkens, Professor Scott Cunningham, Professor Viktor Dorfler. - 26-Jan-2026
- INTERNALLY FUNDED: Strathclyde Centre for Doctoral Training in Human Rights-based Decision-Making (£132,000)
- Harkens, Adam (Co-investigator) Miyake, Esperanza (Co-investigator) Nicol, Emma (Co-investigator) Ntona, Maria (Co-investigator) Schippers, Birgit (Co-investigator) Webster, Elaine (Co-investigator)
- Internally funded
£132,000 - 01-Jan-2023 - 31-Jan-2027
- SUII - Valuing public sector data in Scotland and Europe: data governance for economic, environmental and social development.
- Miyake, Esperanza (Principal Investigator) Daly, Angela (Principal Investigator) Annie, Sorbie (Co-investigator) Switzer, Stephanie (Co-investigator) Tetley-Brown, Lucille (Co-investigator) Nic Daeid, Niamh (Co-investigator) Anna, Berti Suman (Co-investigator) Valero , Julián (Co-investigator)
- 01-Jan-2023
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Contact
Dr
Esperanza
Miyake
Chancellor'S Fellow And Senior Lecturer
Journalism, Media and Communication
Email: esperanza.miyake@strath.ac.uk
Tel: Unlisted