جست‌وجوی استاد و پژوهشگر

• Preschool Education
• Education for Sustainability
• Environmental Education
• +۳ مورد دیگر

Şule Alıcı is an Associate Professor in the Department of Basic Education, Faculty of Education, at Kırşehir Ahi Evran University , Turkey. Since 2022 she has held the rank of Doçent (Associate Professor) on a full-time basis, and since 2022 she also serves as Deputy Director of the University Research & Application Centre. Previously she was Assistant Professor (Dr. Öğretim Üyesi) at the same university (2022-2025) and Research Assistant at Middle East Technical University (2007-2018) and Queensland University of Technology (2017). Education PhD in Preschool Education, Middle East Technical University, Institute of Social Sciences, 2013-2018 MA in Preschool Education (Thesis), Middle East Technical University, Institute of Social Sciences, 2009-2013 BA in Mathematics & Science Education, Gazi University, Gazi Faculty of Education, 2002-2007 Research Focus Dr Alıcı’s scholarship lies at the intersection of early childhood education , education for sustainability , creative drama , and media literacy . She explores how preschool teachers can be empowered to integrate sustainability principles into daily practice, how creative drama can be harnessed to enhance children’s environmental awareness, and how critical media literacy can be used as a transformative tool in teacher professional development. Her work spans curriculum development, teacher education reform, and cross-cultural comparative analyses. Her recent publications reveal a consistent trajectory toward re-orienting early childhood teacher education for sustainability . Using mixed-methods and case-study designs, she investigates teacher candidates’ experiences during practicum, the role of forest schools and outdoor learning, and generational changes in traditional children’s play. Collectively, these studies highlight systemic challenges and innovative pathways for embedding sustainability and creativity within Turkish and international ECE contexts. Awards & Recognition TÜBİTAK Publication Incentive Award (2023) OMEP Special Achievement Commendation – Education for Sustainable Development (2017) National Publication Incentive Award (2011) Projects & Grants Dr Alıcı has led or co-investigated five funded projects, including ReNCitReScArCe (2024, UN & EU supported), Dijital Dünyada Siber Kimlik Farkındalığı (TÜBA-TÜBİTAK 2021-2022), and Müzede Yeşeren Umutlar (Ministry of Development, 2019). These initiatives engage pre-service teachers, school counsellors, rural women, and museum visitors in sustainability and digital citizenship education. Professional Service & Leadership She is Vice-Chair of the Transnational Dialogues in Research in Early Childhood Education for Sustainability network and of the EECERA Sustainability SIG , an active member of AERA, EECERA, OMEP and TEMA, and has organised several international conferences and special journal issues.

Jia Xueمشاهده پروفایل

دانشیار

• Intimate Partner Violence
• Sexual Assault
• AI Ethics
• +۶ مورد دیگر

Jia Xue is an Associate Professor at the Factor-Inwentash Faculty of Social Work, University of Toronto, with a joint appointment in the Faculty of Information. She joined U of T in 2018 as an Assistant Professor and was promoted in 2025. Her research focuses on computational approaches to social justice issues, including intimate partner violence, rape myth culture, and AI ethics. She holds a Ph.D. from the University of Pennsylvania, a law degree from Tsinghua University, and postdoctoral training at Harvard University. Her research lab, the Artificial Intelligence for Justice (AIJ) Lab, develops AI tools to study social ills like image-based sexual abuse and school bullying. Key projects include AI-powered chatbots for sexual violence victims and analyzing biases in algorithmic systems. Funded by grants from Connaught, SSHRC, and CIHR, her work bridges social work, computer science, and policy analysis. Jia has authored over 50 peer-reviewed articles in journals like Journal of Interpersonal Violence and Child Abuse & Neglect . Awards include the Ontario Early Researcher Award (2025) and Deborah K. Padgett Early Career Achievement Award (2025). She leads initiatives at the Schwartz Reisman Institute for Technology and Society, focusing on tech’s societal impacts. Teaching emphasizes ethical big data use in social justice contexts. Recent work includes pandemic-related social media analysis and developing interventions for marginalized populations. Her interdisciplinary approach combines machine learning, policy analysis, and qualitative research to address systemic inequities.

Samantha Curleمشاهده پروفایل

استاد

• English Medium Instruction (EMI)
• Integrating Content and Language in Higher Education (ICLHE)
• Advanced Quantitative Research Methods (AQM)
• +۴ مورد دیگر

Samantha Curle is a Reader in the Department of Education at the University of Bath, serving as Director of all MRes Programmes in the Humanities and Social Sciences Faculty. She also holds roles as Institutional Academic Lead for the South West Doctoral Training Partnership and Director of Studies for the MRes in Advanced Quantitative Methods. Her research focuses on English Medium Instruction (EMI) in global higher education, particularly its academic and linguistic outcomes, technology integration, and psychological dimensions. Career highlights include a PhD from the University of Oxford (2018) on stakeholders’ attitudes toward EMI in Japanese higher education. She has extensive editorial roles, including guest editorships at Frontiers in Educational Psychology and Data in Brief . Her expertise spans quantitative methods, applied linguistics, and bilingual education, contributing to UN Sustainable Development Goal 4 (Quality Education). Education: PhD (University of Oxford, 2018) MSc Research Methods (University of Oxford, 2014) Bachelor of Education (Open University of Hong Kong, 2010) Grants and Projects: Leading projects on EMI in Saudi Arabia, Brazil, and Hong Kong-UK collaboration Focus on educational inequalities in Spain using CART models Awards: Adjunct Professor (2024) Her research has yielded 88+ publications, emphasizing EMI’s role in STEM, teacher professional development, and sustainable education. She advises doctoral students on quantitative EMI studies and advocates for evidence-based policy in multilingual education.

Michelle Borkinمشاهده پروفایل

استادیار

• Data Visualization
• Human-Computer Interaction
• Visual Analytics
• +۵ مورد دیگر

Michelle Borkin is an Assistant Professor in the Khoury College of Computer Sciences at Northeastern University’s Boston campus, where she co-leads the Visualization @ Khoury Lab and co-directs the Northeastern Visualization Consortium (NUVis). She additionally serves as Affiliated Faculty with the NULab for Text, Maps, and Networks and with the Information Design & Data Visualization Program in the College of Arts, Media, and Design. Education PhD, Applied Physics, Harvard University School of Engineering and Applied Sciences (2014) MS, Applied Physics, Harvard University BS, Astronomy & Astrophysics and Physics, Harvard University Research Interests Borkin’s research integrates data visualization and human-computer interaction to create novel techniques that enable discovery across disciplines. Her work spans: Multidimensional brushing-and-linking methodologies 3D data visualization and selection techniques Tree and network visualization Visualization evaluation methodologies and perception/cognition theory Accessibility and visualization for social good Medical and astrophysical visualization applications Publication Trends Across more than 50 peer-reviewed papers, Borkin’s research exhibits three dominant threads: (1) foundational studies on visualization perception and memorability, (2) design and evaluation of novel interactive tools for complex data (medical, astronomical, political, and social media), and (3) methodological contributions such as the Design Study “Lite” Methodology that accelerate visualization pedagogy and community-engaged research. Awards & Honors CHI 2020 Best Paper Award IEEE VIS 2020 Best Poster Honorable Mention IEEE VIS 2018 Best Poster Award NSF Graduate Research Fellowship NDSEG Graduate Fellowship TED Fellow Advising & Grants Borkin currently advises five PhD students—Jane Adams, Mackenzie Creamer, Franc O, Aditeya Pandey, and Laura South—and has previously mentored Michail Schwab and Uzma Haque Syeda. Her research has been supported by NSF, NDSEG, and TED fellowships, as well as internal Northeastern awards. Labs & Teams Co-Lead, Visualization @ Khoury Lab Co-Director & Co-Founder, Northeastern Visualization Consortium (NUVis) Affiliated Faculty, NULab for Text, Maps, and Networks Affiliated Faculty, Information Design & Data Visualization Program, CAMD

Orphée De Clercqمشاهده پروفایل

استادیار

• Natural Language Processing
• Machine Learning
• Readability Prediction
• +۷ مورد دیگر

Orphée De Clercq is an Assistant Professor at Ghent University, specializing in language technology for educational applications. Her research focuses on leveraging Natural Language Processing (NLP) and Machine Learning (ML) to enhance computer-assisted language learning , readability prediction , and automated writing evaluation . She also explores sentiment analysis , emotion detection , and event coreference resolution in Dutch and multilingual contexts. Education : PhD in 2015 with groundbreaking work in readability prediction and fine-grained sentiment analysis for Dutch. Research Trends in her recent publications emphasize: Readability across domains and languages Emotion Detection using transformers and affect lexica Event Coreference in cross-document news Automated Writing Evaluation through NLP Implicit Sentiment Analysis in user-generated content Cross-Lingual Transfer with multilingual datasets She co-supervises four PhD students and contributes to interdisciplinary projects like Steunpunt Toetsen , SentEMO , and NewsDNA . Her teaching includes courses on digital communication and Computer-Assisted Language Learning .

Lindsey D. Cameronمشاهده پروفایل

استادیار

• Algorithmic Management
• Gig Economy
• Future of Work
• +۵ مورد دیگر

Lindsey D. Cameron is an Assistant Professor of Management at the Wharton School and holds a secondary appointment in Sociology at the University of Pennsylvania’s School of Arts & Sciences. She is a Dorinda and Mark Winkelman Distinguished Faculty Scholar, and a member of the Institute for Advanced Study and the Berkman Klein Center for Internet & Society at Harvard University. Her research focuses on algorithmic management’s impact on workplaces, particularly in the gig economy, and its implications for labor dynamics, worker well-being, and organizational control. Professor Cameron’s academic journey includes a PhD in Management from the University of Michigan, an MS in Engineering Management from George Washington University, and an SB in Electrical Engineering and Computer Science from Harvard University. Her prior career spanned over a decade in U.S. intelligence and diplomatic roles, including overseas assignments in the Middle East, Africa, and Europe. She has conducted a seven-year ethnography of the ride-hailing industry and studies the effects of the pandemic on gig workers across platforms like Uber, Instacart, and Amazon Flex. Research Interests: Her work explores the gig economy’s future, algorithmic governance, worker activism, mindfulness practices in the workplace, and global labor dynamics. She employs ethnographic methods, longitudinal interviews, and field experiments, with research published in journals like Organization Science and Journal of Applied Psychology . Her findings have been featured in media such as Bloomberg , NPR , and the World Economic Forum . Awards & Recognition: She has received Best Paper Awards and teaching accolades, supported by funding from institutions like the Mack Institute for Innovation and the Data & Society Research Institute. Her speaking engagements include Harvard, MIT, and Fortune 500 companies, alongside legislative testimony and expert witness roles in litigation. Teaching & Mentorship: While no specific student names are listed, her work involves advising on platform labor policies and workplace interventions. She advocates for mindfulness and non-dual awareness practices in professional settings, blending technical and humanistic approaches to organizational challenges.

Yasir Zakiمشاهده پروفایل

استادیار

• Communication Networks
• Wireless Networks
• Cellular Communication
• +۹ مورد دیگر

Yasir Zaki is an Assistant Professor of Computer Science at New York University Abu Dhabi and a Global Network Assistant Professor at the Courant Institute of Mathematical Sciences, NYU. He leads the Communication Networks Lab, focusing on next-generation communication systems, performance optimization, and digital equity. University: New York University Abu Dhabi School: Courant Institute of Mathematical Sciences Department: Department of Computer Science Academic Rank: Assistant Professor Email: yz48@nyu.edu Dr. Zaki holds an MSc and PhD in Communication and Information Technology from the University of Bremen, graduating with honors. His research centers on communication and wireless networks, cellular systems, congestion control, and enhancing internet access in developing regions. His work bridges theory and real-world impact, especially in digital inclusion and AI's role in education. His recent publications span top venues like PNAS, IEEE TCSS, and ACM IMC, covering topics such as satellite network performance, digital inequality (Lite-Web), AI in education, and Big Tech's global influence. These works reveal a strong trend toward socially impactful computing, network measurement at scale, and algorithmic transparency. Big Tech Dominance Despite Global Mistrust Perception of AI in Education YouTube's Political Bias Lite-Web for Digital Equity Satellite Network Analysis His research has been recognized through high-profile media coverage in Nature and The National , and his PhD student Hazem Ibrahim received the MIT Technology Review Arabia’s Innovators Under 35 MENA 2023 award. This reflects the lab's excellence in computational social science and AI policy. Dr. Zaki mentors students in the Capstone and Research Seminar courses and actively advises PhD and research assistants. He has secured research funding through NYUAD and collaborative projects, enabling field deployments in 56 countries. His lab, the Communication Networks Lab, fosters interdisciplinary work, involving researchers from computer science, social sciences, and policy.

Chia-Fang (Christina) Chungمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Health Informatics
• Personal Informatics
• +۷ مورد دیگر

Chia-Fang (Christina) Chung is an Associate Professor in Computational Media at the University of California, Santa Cruz. Her research bridges Human-Computer Interaction (HCI) and health/well-being, focusing on ubiquitous computing and personal informatics to enhance relationships, motivate health behavior, and support clinical care. Previously, she served as an Assistant Professor in Informatics at Indiana University Bloomington. Her academic journey includes a Ph.D. in Human-Centered Design and Engineering from the University of Washington under advisor Sean Munson, and an MBA/BBA in Information Management from National Taiwan University. Education: Ph.D. in Human-Centered Design and Engineering, University of Washington MBA and BBA in Information Management, National Taiwan University Christina's research explores technology's role in family wellness, chronic disease management, and patient-provider collaboration. Key projects include Supporting Healthy Eating in Families (NSF-funded), Sharing Lifelog Data with Healthcare Experts (AHRQ-funded), and Adoption of Blood Pressure Kiosks with UW Medicine. Her work emphasizes contextual inquiry, mixed-methods studies, and translational tools for societal resilience. Scientific Awards: BEST PAPER AWARD (TOP 1%) at CHI 2024 BEST PAPER HONORABLE MENTION (TOP 5%) at DIS 2018 BEST WORK-IN-PROGRESS AWARD at DIS 2023 Christina collaborates with institutions like Robert Wood Johnson Foundation and Reos Partners. Her students include Seung Wan Ha, Chun Han Wang, and Yu-Ling Chou. She holds patents for lifestyle progression models and health management frameworks, with media coverage in KION News and CNN.

Ying Xieمشاهده پروفایل

دانشیار

• Emerging Technologies in Education
• Reflective Learning
• Knowledge Integration
• +۹ مورد دیگر

Ying Xie is an Associate Professor in the Department of Educational Technology, Research and Assessment at Northern Illinois University, College of Education. Her work bridges technology and pedagogy, with a focus on enhancing reflective learning, knowledge integration, and group cognition through innovative digital tools. Educational Background: Ph.D. in Instructional Systems, The Pennsylvania State University, with a minor in Educational Psychology B.S. in Computer Science and B.A. in Foreign Languages, University of Science and Technology of China Her research spans emerging technologies in education , including robotics in K–12 STEM learning, technology-assisted language acquisition, and mathematical problem posing. She explores how tools like word clouds, blogs, and mobile VR can scaffold reflective thinking and collaborative knowledge building. Her work is grounded in both cognitive and social learning theories. Analysis of her recent publications reveals a consistent focus on technology-enhanced learning environments , particularly using visual and interactive tools (e.g., tag clouds, blogs, VR) to support metacognition and collaboration. Her studies often employ mixed methods and design-based research, targeting diverse populations from K–12 to higher education. A growing interest in emergency remote learning and teacher self-efficacy is evident in her 2021 publications. Scientific Awards: No awards explicitly mentioned in the provided text. Dr. Xie actively advises graduate and doctoral students, as seen through her teaching of ETT 799 (Doctoral Research and Dissertation). She has contributed to curriculum development in instructional technology and research methodology. Her service includes participation in academic seminars and research guidance. She leads or contributes to research projects examining digital learning tools and their impact on cognition and engagement. Her lab or research team likely focuses on user experience in educational technology, possibly linked to the UX Lab mentioned in the departmental resources.

• Human-Computer Interaction
• Ubiquitous Computing
• Virtual Reality
• +۱۲ مورد دیگر

Johannes Schöning is a Professor of Human-Computer Interaction (HCI) at the University of St. Gallen, Switzerland. He leads a research group focused on developing novel user interfaces to empower individuals and communities in data-driven decision-making. His work spans interdisciplinary domains including geographic information science, public health, medical contexts, and space exploration. His research interests include Human-Computer Interaction, Virtual and Augmented Reality, Ubiquitous Computing, Accessibility, AI in HCI, and Sustainable HCI. He employs user-centered design and mixed methods, combining AI, computer graphics, and cognitive psychology to create disruptive, theory-grounded research. His lab publishes in top venues such as ACM CHI, MobileHCI, DIS, and journals like Nature and PLOS ONE . His recent publications reveal a strong focus on VR/AR for emotional regulation, accessibility, navigation systems, privacy, and citizen participation. Trends include the use of generative AI, eco-feedback, assistive wearables, and ethical implications of large-scale navigation technologies. Best Paper Award & Accessibility Award, Interact 2019 Best Paper Award, MobileHCI 2015 (StripeMaps) Best Presentation Award, IEEE VR 2023 Honorable Mention Awards at MobileHCI, CHI, MUM, and others Vodafone Research Advancement Award, 2012 McKinsey Business Technology Award Nominee, 2011 10 Year Impact Award 2021, MobileHCI 2011 paper He actively advises students and recruits for bachelor’s, master’s, PhD, and postdoctoral positions at the intersection of HCI, geoinformatics, and ubiquitous computing. He emphasizes creating a detox-free academic environment to focus on teaching and research excellence. His lab collaborates on interdisciplinary projects involving space missions, public health, and urban technology, often involving international teams and real-world deployments. He has contributed to discussions on research culture, academic ethics, and the future of HCI conferences.

• Work and Organizational Psychology
• Human-Robot Interaction
• Social Exclusion Dynamics
• +۵ مورد دیگر

Professor Günter Maier is a distinguished academic in Work and Organizational Psychology at Bielefeld University, Germany, situated within the Faculty of Psychology and Sport Science, Department of Psychology (Unit 10 - Work and Organizational Psychology). He maintains dual affiliations with the Department of Psychology and the Research Institute for Cognition and Robotics (CoR-Lab), reflecting his interdisciplinary approach bridging psychology with robotics and artificial intelligence. His academic journey began with a Diploma (MSc) in Psychology from LMU Munich in 1992, followed by a summa cum laude Doctorate in 1996. After positions as Research Assistant, Scientific Associate, and Assistant Professor at LMU Munich, he joined Bielefeld University as Professor in Work and Organizational Psychology in 2003, where he continues his tenure. His research spans human-robot interaction dynamics, leadership behavior, corporate social responsibility, and AI implementation in workplace contexts. Professor Maier's research reveals fascinating asymmetries in human social responses to robots versus humans, demonstrating that exclusion by robot coworkers hurts less while inclusion by human coworkers satisfies more. His work on leadership examines daily behaviors and their impact on leader well-being through team identification, while his CSR research investigates relationships with employee green behavior and potential negative consequences. His recent publications increasingly focus on AI ethics in personnel selection, healthcare scheduling, and resource allocation. Methodologically, he has pioneered AI-assisted research tools, developing techniques for creating AI-generated images for vignette studies and evaluating GPT models for qualitative data analysis. His work aligns with Bielefeld University's strategic research area of the Socio-Technical World, investigating how humans, robots and AI interact in complex environments. As an educator, Professor Maier teaches across multiple Work and Organizational Psychology modules, including Basic and Advanced Applied Subject courses and Project Modules in Work, Organizational and Social Psychology. His teaching reflects his research interests, preparing students for technology-integrated workplaces through modules like 27-AF-AO1, 27-AF-AO2, and 27-AP-ProjectAOS.

Ahmer Arifمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Social Computing
• Misinformation and Disinformation
• +۴ مورد دیگر

Ahmer Arif is an Assistant Professor in the School of Information at the University of Texas at Austin. His research focuses on human-computer interaction and social computing, particularly examining the spread and dynamics of misinformation and disinformation during crises. He employs computational analysis, participatory engagement, and qualitative methodologies to explore how solidarity can be fostered in response to these challenges. His interdisciplinary work draws on science and technology studies, postcritical theory, and reflection practices. Education: Ph.D. in Human Centered Design & Engineering, University of Washington (2019) M.S. in Computer Science, Lahore University of Management Sciences (Pakistan) B.Sc. (Honors) in Computer Science with minor in Social Sciences, Lahore University of Management Sciences Research Interests: Arif’s work addresses the intersection of technology and social justice, including designing interventions to counter misinformation, understanding user behavior in crisis scenarios, and promoting ethical reflection in technology design. He has collaborated with organizations like Facebook, Yahoo!, the World Bank, and the UN on projects related to digital inclusion and misinformation. Teaching: Recent courses include INF 385T: Special Topics in Information Science: Misinformation and Disinformation and I 320J/U: Topics in Social Justice Informatics and User Experience Design , emphasizing interdisciplinary approaches to misinformation and design ethics. Awards: Dean’s Honor List for academic distinction (M.S. and B.Sc., Lahore University of Management Sciences) Collaborations and Industry Experience: Arif has held roles as a researcher and consultant with Facebook, Yahoo!, the United Nations Development Programme, and the World Bank, focusing on user experience, anti-spam systems, and mobile governance initiatives.

Irina Lyublinskayaمشاهده پروفایل

استاد

• STEM Education
• Mathematics Education
• Science Education
• +۵ مورد دیگر

Irina Lyublinskaya is a Professor of Mathematics and Education at Teachers College, Columbia University. She is affiliated with the Mathematics, Science & Technology department and specializes in STEM education, mathematics education, and educational technology. Her research interests include teacher education, international education, and curriculum development. Lyublinskaya holds a Ph.D. and M.S. in Theoretical and Mathematical Physics from Leningrad State University (now St. Petersburg State University). Her scholarly work spans over three decades, with a focus on integrating technology into mathematics and science education. Notable contributions include co-authoring textbooks such as Geometry investigations with GeoGebra and Exploring precalculus with The Geometer’s Sketchpad . Her recent research emphasizes culturally responsive teaching, TPACK framework applications, and robotics integration in elementary education. Lyublinskaya’s publications explore topics like teacher professional development, special education technology competency, and cross-cultural STEM pedagogy. She has mentored students such as Xiang Du and Alyssa Kaplon-Schilis, who co-authored impactful studies on TPACK trajectories and culturally relevant mathematics tasks. Her work bridges theoretical research and practical classroom applications, advocating for innovative educational technologies.

Yunwen Wangمشاهده پروفایل

استادیار

• Health Communication
• Misinformation and Disinformation
• Computational Social Science
• +۴ مورد دیگر

Yunwen Wang is an Assistant Professor at the School of Journalism and Mass Communications at the University of Kansas (KU), joining in August 2024. Her expertise bridges health journalism, media production, and computational methods. Ph.D. in Communication, University of Southern California M.S. in Communication, Purdue University B.S. in Communication, University of Macau Semester Exchange, Nanyang Technological University Her research focuses on health communication , user experience (UX) , and the impact of emerging technologies on consumer health. She employs a multidisciplinary approach combining natural language processing , computer vision , and qualitative analysis to address misinformation, promote empathy, and support marginalized communities. Recent publications examine topics like mpox discourse on social media, tobacco advertising in health communication, and moral dynamics in e-cigarette promotion. These works highlight her commitment to computational social science and media psychology frameworks.

Benedetta Catanzaritiمشاهده پروفایل

پژوهشگر ارشد

• Science and Technology Studies
• Artificial Intelligence Ethics
• Social Dimensions of Data Practices
• +۳ مورد دیگر

Benedetta Catanzariti is a British Academy Postdoctoral Fellow at the University of Edinburgh's School of Social and Political Science, with dual affiliation as a PostDoctoral Affiliate at the Centre for Technomoral Futures within the Edinburgh Futures Institute. She actively contributes to the AI Ethics & Society network, focusing on the social, historical, and political dimensions of data-driven technologies through qualitative STS (Science and Technology Studies) methodologies. Her work critically examines machine learning data practices, classification systems in algorithmic decision-making, and engineering cultures across industry, research, and educational contexts. Education: PhD in Science, Technology and Innovation Studies, University of Edinburgh (2023) MScRes in Science and Technology Studies, University of Edinburgh (2019) Master in Philosophy, University of Turin (2016) Her research investigates how data objectivity claims emerge within specific cultural imaginaries, with current emphasis on translating medical uncertainty into diagnostic AI outputs. Recent projects analyze facial expression recognition in healthcare, generative AI threats to parliamentary democracy, and ethical integration in computer science curricula. She develops reflexive tools to address algorithmic harm while documenting global labor practices in AI development and anti-surveillance resistance tactics. Article trends reveal escalating focus on AI's societal crises: 2025 works dissect objectivity construction in data annotation and AI governance metaphors, while 2024 outputs target democratic vulnerabilities (Chamberfakes), CS curriculum politics, and translational ethics teaching. Medical AI and emotion recognition studies (2020-2023) establish foundations for current work on medical imaging uncertainty. All publications consistently apply STS lenses to expose hidden power structures in data systems. Scientific Awards: SPS Outstanding Dissertation Award (2023) for 'Seeing affect: knowledge infrastructures in facial expression recognition systems' AsSIST-UK Andrew Webster PhD Prize (2024) She supervises Oksana Dorofeeva (visiting PhD, Aarhus University) and four CDT project students (Jacqueline Rowe, Amanda Horzyka, Osman Batur Ince, Cyndie Demeocq), previously guiding Sandra Wheeler's MSc in Data Science for Health and Social Care. Funded by a British Academy Postdoctoral Fellowship (2023-2026) for 'Technology in Translation: Investigating Organizational Contexts of AI Development', she also secured DCMS Policy Fellowship support under AHRC's BRAID programme. Current teaching includes Data and AI Ethics as Practice (2025) and Data Ethics in Health and Social Care (2024). Operates within the Centre for Technomoral Futures and AI Ethics & Society network, collaborating with Scottish Centre for Crime & Justice Research on parliamentary democracy threats. Organizes key events like the 2024 'AI as the Broken Machine' conference and 2022 'Ethics of Care and Community in AI Practice' workshop, while developing conceptual tools for medical AI practitioners through her active British Academy project.