جست‌وجوی استاد و پژوهشگر

• Educational Leadership
• Comparative Research
• Innovation in Education
• +۳ مورد دیگر

Dr. Dong Nguyen is an Associate Professor in Leadership Management and Change in Education at Durham University's School of Education. He serves as Director of the Master’s Programme in Educational Leadership and Change, which focuses on leadership, management, and research in education. Additionally, he is Editor-in-Chief of the International Journal of Educational Management (IJEM), a core journal in educational leadership. His career includes roles as a lecturer (Assistant Professor) and Programme Leader at the University of Glasgow, a Research Associate at Nanyang Technological University, and a teacher in Vietnam. Nguyen’s research emphasizes building leadership capacity in the Global South, comparative education studies, and innovation in education. He has led projects such as an impact evaluation of a Rwanda school leadership development program (2023–2026) funded by VVOB and a review of school leadership’s role in teacher retention funded by the Education Endowment Foundation (EEF). His work explores leadership practices across sectors like education, business, and healthcare, with a focus on equitable systems and professional learning. Nguyen has received a Discretionary Award from Durham University (2023) and has delivered numerous invited talks, including at the Chinese University of Hong Kong (2024), the Asian Conference on Business and Economic Studies (2024), and Stockholm institutions (2023). He has served as an external examiner for UK universities (e.g., Leeds, Newcastle) and evaluator for grants like UK Research & Innovation and Swiss National Science Foundation. His supervision focuses on topics like school leadership, inter-organizational collaboration, and professional development. Nguyen’s recent articles highlight leadership’s role in teacher retention, autonomy, and PLCs in the Global South. He advocates for leadership practices that foster teacher collaboration, instructional support, and participatory decision-making, particularly in contexts like Singapore and Vietnam. His funded projects and editorial roles underscore his commitment to evidence-based educational policy and practice.

David Stillwellمشاهده پروفایل

استاد

• Psychometrics
• Computational Social Science
• Big Data Analytics
• +۳ مورد دیگر

David Stillwell serves as Professor of Computational Social Science at Cambridge Judge Business School and Academic Director of The Psychometrics Centre, University of Cambridge. His research leverages big data to understand human psychology and behavior, with significant contributions in personality prediction from digital footprints and personalized advertising applications. His educational background includes: BSc in Psychology from the University of Nottingham (2007) MSc in Research Methods from the University of Nottingham (2008) PhD in Decision Making from the University of Nottingham (2012) Dr. Stillwell's research centers on computational social science and psychometrics, pioneering the myPersonality Facebook application that collected data from over 6 million users. His work demonstrates computers can predict personality as accurately as spouses, reveals psychological targeting's advertising effectiveness, and establishes links between personality-matched spending and life satisfaction. He also explores linguistic honesty markers through profanity analysis and personality-based dating patterns. His recent publications (2019-2025) reveal a strong trajectory toward AI evaluation using psychometric frameworks, particularly in medical and general-purpose AI assessment. Key themes include fairness metrics in language models, crisis emotional responses through social media, and computational personality recognition - demonstrating consistent innovation at the psychology-technology intersection. He has received significant recognition: Top 10 most influential papers of 2013 by Altmetric Nieman Journalism Lab highlight of 2013 Named in 'top 30 thinkers under 30' by Pacific Standard Magazine Dr. Stillwell maintains active industry engagement through consultancy with Barclays, Hilton, and Ubisoft on projects spanning computer-adaptive testing systems to interactive experiences like Predictive World for Watch Dogs 2. His policy impact is substantial, with citations by the European Data Protection Supervisor, World Bank, and multiple national governments, leading to speaking engagements at the European Parliament and Bank of England. As Academic Director of The Psychometrics Centre, he leads a global hub for advancing psychological assessment through innovative methods including Concerto open-source software, collaborating with organizations ranging from the European Commission to major corporations on psychometric applications in people analytics and digital behavior.

• Strategy
• Management
• Organisational Behaviour
• +۱۰ مورد دیگر

Sam Yam is a Professor and Head of the Management & Organisation Department at the National University of Singapore's (NUS) Business School. He holds the Jardine Cycle & Carriage Professorship and serves as Associate Dean. His research spans strategy, organisational behaviour, applied psychology, ethics, and human-technology interaction. Yam has contributed to over 125 publications, focusing on AI ethics, workplace dynamics, and cross-cultural management. He explores topics like robot replacement effects, abusive supervision, and financial anxiety's intergenerational impacts. His work bridges psychology, ethics, and organisational theory, addressing contemporary challenges in automation, leadership, and human-AI collaboration. Appointments: Head of Management & Organisation (2022–present), Joint Appointment in Arts & Social Sciences (2023–present). Key Research Themes: Future of work, human-technology interaction, ethical leadership, and Machiavellian dynamics. Notable Contributions: Multimodal ADHD diagnostics, leader biases toward robot-using employees, and cultural impacts on team performance. Yam’s interdisciplinary approach integrates psychology, technology, and management, addressing societal issues like AI ethics and workplace automation. His research frequently appears in top journals like the Journal of Management and Annual Review of Organizational Psychology .

Yeun Joon Kimمشاهده پروفایل

دانشیار

• Organisational Behaviour
• Creativity
• Culture Creation and Change
• +۳ مورد دیگر

Dr. Yeun Joon Kim is an Associate Professor in Organisational Behaviour at the Judge Business School , University of Cambridge, and a Principal Investigator at the Institute of Metabolic Science , School of Clinical Medicine. He serves as the Director of the MPhil in Strategy, Marketing, Operations and Organisational Behaviour Programme and focuses on creativity, culture creation, and human-AI collaboration in organisational and medical contexts. Education PhD, University of Toronto MS and BA, Seoul National University BA, Yonsei University Research Interests : Dr. Kim investigates how information structure and feedback influence employee creativity, strategies for functional culture creation in organisations, and the psychological and social impacts of AI integration in workplaces and medical practices. His work spans organisational theory, behavioural science, and technology ethics. Academic Contributions : His research on human-AI collaboration demonstrates that while initial co-creation boosts creativity, long-term reliance on AI can hinder learning. In medical contexts, he explores patient moralisation of AI and its implications for healthcare interactions. Collaborations and Affiliations : Dr. Kim collaborates with firms like Invesco and LGIM on diversity and inclusion, and with Kyobo Lifeplanet on organisational strategy. He leads the Human-AI Research Group in Medicine and Organisations , mentoring PhD students Jungmin Choi, Pengzhao Lyu, and Yingyue Luan. Contact : Reach Dr. Kim via y.kim@jbs.cam.ac.uk or yj320@cam.ac.uk .

• Internationalisation of Small-Medium Enterprises (SMEs)
• Export Readiness
• Export Commitment
• +۳ مورد دیگر

Dr Alvin Tan is a Lecturer in the School of Advertising, Marketing & PR at Queensland University of Technology (QUT). His research focuses on SME internationalisation, export readiness, and managerial decision-making in cross-border contexts. He holds a PhD in International Business from the University of Queensland (2012) and has over a decade of academic experience, including roles in teaching units like AMB110 Internationalisation. Education: Doctor of Philosophy (International Business), University of Queensland (2012) Bachelor of Business (Honours), Queensland University of Technology Bachelor of Commerce (International Business), University of Tasmania Research Interests: Small-medium enterprise internationalisation drivers, export decision rigidity, managerial commitment in export strategies, and inward internationalisation dynamics. His work emphasizes the pre-internationalisation phase and has contributed to frameworks like the export readiness index. Awards: QUT Vice Chancellor's Performance Award for Teaching Excellence (2008) Accredited Senior Fellow of the Higher Education Academy (SFHEA) Teaching and Supervision: Specializes in global business strategy, international marketing, and supervises postgraduate students on SME internationalisation topics.

Virginia Leavellمشاهده پروفایل

استادیار

• Organisational Anticipation
• Digital Prediction Technologies
• AI and Autonomous Systems
• +۴ مورد دیگر

Virginia Leavell serves as Assistant Professor in Organisational Theory and Information Systems at Cambridge Judge Business School, University of Cambridge. Her research investigates how organisations anticipate technological change through digital prediction systems, AI, and infrastructure transformation, drawing on her decade-long background in political organising for non-profits and labour groups across the US and Thailand. Her academic credentials include: BA in Interdisciplinary Studies, Georgetown University MA in Sociology, University of California Santa Barbara PhD in Technology Management, University of California Santa Barbara Leavell's scholarly work centers on organisational anticipation of technological futures, employing ethnographic and social network analysis methods to examine digital transformation in critical infrastructure contexts. She explores how predictive technologies reshape organisational structures and actions before technological change fully materializes, with particular focus on water systems, urban planning, and labor industries where digital twins and simulation technologies create new governance challenges. Analysis of her 2017-2024 publications reveals consistent examination of prediction performativity across sectors, demonstrating how digital models influence physical realities in infrastructure management. Her research trajectory shows increasing emphasis on sociomaterial dimensions of anticipatory organising, with recent work interrogating the equalization of human and technological agency in digital transformation processes. No scientific awards were specified in source materials. Leavell actively contributes to the Organisational Theory and Information Systems subject group at Cambridge Judge Business School, which engages cross-disciplinary leadership themes. Information regarding student advising and research grants remains unspecified in available documentation.

Shahrzad Fouladvandمشاهده پروفایل

دانشیار

• International Criminal Law
• Transnational Criminal Law
• Human Trafficking
• +۷ مورد دیگر

Dr. Shahrzad Fouladvand is an Associate Professor in International Criminal Law at the University of Sussex's School of Law, Politics and Sociology. Her research focuses on transnational criminal law, human trafficking, and corruption, particularly their interplay in contexts like Albania. She previously worked at the International Criminal Court (ICC) and the International Labour Organisation (ILO), contributing to human rights conventions. A member of RUSI's Strategic Hub for Organised Crime (SHOC), she advocates holistic approaches to combating human trafficking beyond prosecution-centric methods. Dr. Fouladvand holds a PhD from the University of Sussex and is a Fellow of the UK Higher Education Academy. Education: PhD in Law, University of Sussex (2008–2012) Common Professional Examination (CPE)/Graduate Diploma in Law (GDL), University of Huddersfield (2012–2014) Certifications in Machine Learning for Social Scientists (2023) and Social Network Analysis (2020) Research Interests: Dr. Fouladvand explores the nexus between human trafficking and corruption, emphasizing evidentiary challenges and institutional complicity. Her work integrates network analysis and responsibilisation frameworks, critiquing prosecution-centric approaches. Recent projects include a monograph on 'Human Trafficking, Corruption and Corporate Complicity' for Routledge, examining public-sector complicity in trafficking. Key Contributions: Authored over 30 publications, including journal articles and book chapters on ICC jurisprudence, anti-corruption law, and trafficking dynamics. Advised UK parliamentary committees on human trafficking and migration policies. Edited volumes on transnational organized crime and economic criminology. Awards and Fellowships: Fellow of the UK Higher Education Academy (2016) Visiting Scholarship at Max-Planck Institute (2021–2022) Elected Special Rapporteur on Contemporary Slavery for BACL Labs/Teams: Active member of RUSI's SHOC, focusing on policy-relevant research to combat organized crime.

Paola Madiniمشاهده پروفایل

مدرس ارشد

• Management Control Systems
• Budgeting
• Performance Measurement
• +۳ مورد دیگر

Dr. Paola Madini serves as Senior Lecturer in Accounting within the Department for Accounting and Finance at Kent Business School, University of Kent. Holding a PhD from Bocconi University and PGCHE from Kent, she specializes in management control systems with prior academic appointments at ESADE and SDA Bocconi School of Management. Education: PhD in Business Administration and Management (Accounting and Control specialization), Bocconi University PGCHE, University of Kent Fellow of the Higher Education Academy Her research examines management control systems (MCS) design and behavioral implications, focusing on budgeting processes, performance measurement, and inter-organizational relationships. Using field-based case studies and surveys with finance professionals, she bridges academic theory with practical applications in accounting management. Recent work investigates pandemic impacts on UK healthcare organizations' MCS and explores management accounting education through participative teaching methodologies and flipped learning approaches. Publication analysis reveals consistent contributions to management accounting literature, with recurring themes in MCS configurations (coercive, enabling, diagnostic, interactive), budgetary design, and industry-specific applications in fashion/retail sectors. Her work demonstrates evolving focus from traditional budgeting processes toward contemporary challenges like emerging market dividend policies and pandemic-driven organizational adaptations. Scientific Awards: Distinguished Reviewer Award 2017 (Journal of Management Control) Runner up reviewer 2015 (Journal of Management Control) She actively supervises postgraduate research including six Master's theses on managerial reporting systems in retail, fashion company accounting implementations, and neo-colonial accounting education frameworks. Industry collaborations include IBM Italy (integrative finance organizations), DocFlow (document management systems), and CIMA (fashion company accounting systems), with current projects examining pandemic impacts on UK healthcare management control systems. As member of the McGraw Hill Higher Education Advisory Board and conference committees (Socialising Business Research, AAA Annual Meeting), she contributes to academic community development while advising publishers on management accounting textbook development and portfolio strategies.

Mark de Rondمشاهده پروفایل

استاد

• Organisational Ethnography
• Extreme Context Research
• Negotiation and Mediation
• +۴ مورد دیگر

Mark de Rond is Professor of Organisational Ethnography at Cambridge Judge Business School and Fellow of Darwin College, University of Cambridge. His work focuses on immersive ethnographic studies of human behavior in extreme contexts including war zones, high-stakes sports, and controversial social movements, revealing how individuals navigate challenging circumstances through compromise and sensemaking. His educational background includes a DPhil from the University of Oxford alongside advanced degrees in management and economics, photojournalism, documentary photography, biography, creative nonfiction, and prose fiction. This multidisciplinary training informs his unconventional methodological approach. De Rond's research centers on extreme context ethnography, examining how pressure-cooker environments expose fundamental organizational dynamics. His work spans military medicine (Camp Bastion fieldwork), elite sports (Cambridge Boat Race), Amazon river expeditions, and controversial practices like paedophile hunting. Key contributions explore negotiation, conflict resolution, serendipity, institutional persistence, and the emotional toll of fieldwork, often employing innovative methods like enactive ethnography and linguistic analysis of digital communities. His recent publications reveal a growing focus on digital vigilantism and the societal implications of extreme practices, with increasing interdisciplinary reach across organizational studies, criminology, medical anthropology, and sociology. The work demonstrates methodological creativity through linguistic analysis of Facebook groups, embodiment studies in extreme environments, and dream-based reflexive techniques. Scientific recognition includes: BEST ARTICLE AWARD FOR 2016 Favorite MBA Professor honors from Poets & Quants (2021, 2022) Guinness World Record for first unsupported Amazon row De Rond advises MBA students and delivers executive education to top law firms (Slaughter and May, Allen & Overy), professional services (McKinsey, KPMG), corporations (Sky, BT, Diageo), and NGOs (UNICEF, NHS). His negotiation training from Harvard Law School informs both academic work and university mediation practice. Current research involves collaborative teams studying paedophile hunting (featured in Sundance-nominated documentary Predators ) and high-performance sports organizations, with fieldwork requiring deep immersion in challenging environments. His research methodology involves embedded collaboration with diverse teams including medical personnel in conflict zones, elite rowers, and controversial activist groups, often pushing methodological boundaries through photojournalism and creative nonfiction approaches.

• Crisis Management
• Disaster Management
• Institutional Resilience
• +۳ مورد دیگر

Arjen Boin is a Professor of Public Institutions and Governance at Leiden University's Institute of Political Science. He serves as Director Strategy and Organisation on the Institute Board. Previously, he held roles at Utrecht School of Governance and Louisiana State University. His research focuses on crisis management, institutional resilience, and EU crisis coordination. He has authored influential books like Governing the Pandemic and The Politics of Crisis Management , which won the APSA Herbert A. Simon Award. Boin edits journals like Journal of Contingencies and Crisis Management and advises via Crisisplan BV. His teaching spans BSc and MSc Political Science programs. Education: Previous academic positions imply advanced degrees in political science, though specific education details are not explicitly provided in the text. Research Interests: Crisis management strategies, disaster coordination mechanisms, institutional resilience, and EU transboundary crisis capacities. His work bridges theory and practice, emphasizing policy design and leadership during crises. Recent focus includes pandemic governance and creeping crises. Grants/Awards: APSA Herbert A. Simon Book Award. He collaborates widely, including with the European Societal Security Research Group. PhD supervision areas include crisis management and institutional resilience. Labs/Teams: Affiliated with Leiden University Centre for International Relations and the Quantification, Administrative Capacity, and Democracy (QUAD) research group.

• Nonparametric Statistics
• High Dimensional Data Analysis
• Statistical Methods in Finance
• +۷ مورد دیگر

Vladimir Spokoiny is a Professor at the Departments of Mathematics and Economics of the Humboldt University of Berlin and Head of the Research Group "Stochastic Algorithms and Nonparametric Statistics" at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin, Germany. His research spans multiple areas of statistics, machine learning, and financial mathematics, with significant contributions to nonparametric statistics, high-dimensional data analysis, and statistical methods in finance. Spokoiny received his M.Sc. in applied mathematics from the Moscow Institute of Railway Engineering in 1981 and his Ph.D. in mathematics from Lomonosov Moscow State University in 1988. He completed his Habilitation at Humboldt University in 1996. His academic career includes positions at the All-Union Institute of Railway Transport in Moscow, the Institute for Information Transmission Problems in Moscow, and the Institute for Applied Analysis and Statistics in Berlin before joining the Weierstrass Institute and Humboldt University where he has been a professor since 2002. Spokoiny's research focuses on adaptive nonparametric smoothing and hypothesis testing, high dimensional data analysis, statistical methods in finance, image analysis with applications to medicine, classification, and nonlinear time series. His work often addresses the challenges of nonstationarity in time series data and develops innovative methods for volatility estimation and risk management. He has made significant contributions to the development of adaptive weights smoothing procedures, which have applications in image processing, community detection, and manifold learning. His recent work has expanded into high-dimensional statistics, Bayesian inference, and optimization methods for machine learning, with publications demonstrating novel approaches to Gaussian approximation, Laplace methods, and statistical inference in non-Euclidean spaces. Spokoiny has supervised numerous PhD students including Oliver Reiss, Danilo Mercurio, Ying Chen, Elmar Diederichs, and Mstislav Elagin, whose research has focused on mathematical finance, time series analysis, and statistical methods. He serves as an Associate Editor for The Annals of Statistics (since 2004) and Statistics and Decisions (since 2002), and has previously served on the editorial board of the Journal of Statistical Planning and Inference. His professional activities include reviewing for major statistical journals including Annals of Statistics, Bernoulli, Econometrica, and Journal of American Statistical Association, as well as reviewing grant proposals for the National Science Foundation (USA), German Research Foundation, and Netherlands Organisation for Scientific Research. Spokoiny is a member of several professional societies including the International Statistical Institute, American Statistical Association, Institute of Mathematical Statistics, and Bernoulli Society. He is fluent in Russian (mother tongue), English, and German, and has good knowledge of French. His research group at WIAS focuses on developing novel statistical methodologies with applications across various scientific domains, particularly emphasizing adaptivity and robustness in complex data environments. The group's work has significant implications for financial risk management, medical imaging, and machine learning applications, with recent publications addressing fundamental questions in high-dimensional statistics and nonparametric inference.

Jon Grudaمشاهده پروفایل

استادیار

• Organizational Behavior
• Leadership Studies
• Personality Psychology
• +۴ مورد دیگر

Dr. Jon Gruda is an Assistant Professor and Lecturer in Organisational Behaviour at Maynooth University's School of Business. He holds a PhD in Management from emlyon Business School (France) and a joint Dr. rer. nat. in Psychology from Goethe University Frankfurt. His research focuses on relational leadership, dark leadership traits, anxiety in the workplace, and personality psychology, with a strong emphasis on integrating machine learning and AI methodologies. Gruda has been recognized with prestigious awards, including selection for the Lindau Nobel Laureates Meeting in Economic Sciences (2020). His interdisciplinary work includes predicting anxiety and personality traits via social media data analysis. He serves as an Associate Editor for journals like Personality and Individual Differences and Frontiers in Psychology . Education PhD in Management, emlyon Business School (2012–2017) Dr. rer. nat. in Psychology, Goethe University Frankfurt (2012–2017) MSc in Affective Neuroscience, Maastricht University (2018) MSc in Management Research, emlyon Business School (2012–2014) Triple MSc in Management, City University London/ESCP Europe (2010–2012) BSc in International Business & Management, University of Groningen (2007–2010) Research Interests Gruda’s work bridges leadership studies, personality psychology, and data science. Key areas include: Dark leadership traits (e.g., narcissism, Machiavellianism) and their organizational impacts Machine learning applications for detecting anxiety and personality traits via social media Cross-cultural studies on leadership perceptions and attachment orientations Impact of physiological/psychosocial factors on leadership effectiveness Publications & Projects Recent projects include predicting state-level health outcomes linked to narcissism and developing algorithms to track anxiety using Twitter data. Over 20 peer-reviewed articles since 2017 highlight his contributions to organizational behavior and computational social science. Awards 7th Lindau Nobel Laureates Meeting on Economic Sciences (2020) Benedictine University Award (Academy of Management, 2020) Wharton Global Faculty Development Program (2020) Grants & Collaborations Gruda leads projects on pro-environmental behavior and collaborates with the National Care Experience Programme on healthcare feedback analysis. Seed funding includes €301,930 for computational text analytics in healthcare. Labs & Teams Interdisciplinary research collaborations span psychology, data science, and public health, with a focus on applying machine learning to organizational challenges.

Ashley Braganzaمشاهده پروفایل

استاد

• Artificial Intelligence
• Change Management
• Strategy Implementation
• +۴ مورد دیگر

Professor Ashley Braganza serves as Dean of Brunel Business School at Brunel University London and holds the Chair in Business Transformation. He founded and co-directs Brunel's interdisciplinary Research Centre for Artificial Intelligence (established 2018), which includes a dedicated AI Lab and forms part of Brunel's broader AI Ecosystem. His leadership secured £3.5 million in grants during the 2022/23 academic year and a recent €5.8 million ELOQUENCE EU project (2024-2027). His academic qualifications include a PhD in Organisational Change and Information Systems from Cranfield University and an MBA in Strategic Management Responsibility from the University of Strathclyde. Professor Braganza's research centers on artificial intelligence, big data, change management, strategy implementation, process and knowledge management, and transformation-enabled information systems . His practice-based approach stems from over 40 major consultancy projects with global organizations including BT, Microsoft, McDonald's, Astra Zeneca, and UN agencies. He champions interdisciplinary experiential learning and rigorous academic research with real-world applications. Analysis of his 15 most recent publications reveals dominant trends in applying AI and digital technologies to healthcare supply chains, blockchain governance, and socioeconomic challenges like digital poverty. His work consistently bridges operations management, information systems, and social sciences while examining human-organizational impacts of technological transformation. His distinguished recognition includes: Election to the British Academy of Management College of Fellows for 25+ years of scholarly contribution and community service Professor Braganza has directed significant research initiatives including the British Academy-funded digital poverty study in Margate, UK-India collaborative projects on AI in healthcare productivity, and curriculum development for special needs trainers. His consultancy assignments with major corporations have co-created practical frameworks for implementing complex organizational change programs. He founded and chairs the British Academy of Management Special Interest Group in Transformation, Change and Development, and directs Brunel's AI: Social and Digital Innovation Research Centre, fostering cross-disciplinary collaboration through the Operations and Information Systems Management Research Group (OISM).

James Lambمشاهده پروفایل

مدرس

• Digital Education
• Learning Spaces
• Multimodal Teaching and Assessment
• +۳ مورد دیگر

Dr James Lamb is a Lecturer in Digital Education at the Moray House School of Education and Sport, University of Edinburgh, where he is affiliated with the Institute for Education, Community and Society (IECS) and Edinburgh Futures Institute. He teaches on the MSc in Digital Education and MSc in Education Futures programs, and serves as course organiser for several key courses including 'Learning Spaces and Digital Technologies', 'The Future of Learning Organisations', and 'Education and Digital Cultures'. As an active researcher, he contributes to the Centre for Research in Digital Education and leads the Hybrid Pioneers research group. Dr Lamb's educational background includes a PhD from the University of Edinburgh (funded by ESRC), an MSc with distinction from the University of Edinburgh, and a BA degree with distinction from Edinburgh Napier University. His doctoral research focused on 'Space, Sociomateriality, Sound: the Learning Spaces of Higher Education,' reflecting his longstanding interest in the relationship between physical environments and educational experiences. Dr Lamb's research primarily investigates the relationship between learning spaces and digital technologies, with particular attention to how sound features within educational contexts and how multimodal approaches can enhance teaching and assessment. His work bridges theoretical frameworks from postdigital studies, sociomaterial theory, and spatial analysis to examine how digital technologies transform physical and conceptual learning environments. He has developed innovative methodologies for studying learning spaces, including the use of 'digital multimodal postcards' that capture both visual and auditory dimensions of educational experiences. His research is characterized by a strong commitment to practical applications that can inform educational design and improve student learning experiences in both physical and digital settings. Dr Lamb's extensive publication record demonstrates a clear evolution toward increasingly sophisticated explorations of postdigital learning spaces. His recent work integrates concepts from architecture, music, and mobility studies to create a more holistic understanding of how learners inhabit and transform educational environments. A notable trend is his growing focus on sustainability, equity, and well-being within learning space design, reflecting broader shifts in educational priorities toward more humane and socially responsible approaches to technology integration. Dr Lamb actively supervises PhD students Edward Martin and Nick Hood, and is open to supervising projects related to learning spaces, sound in education, and multimodal teaching and assessment in higher education. His supervision approach emphasizes connecting theoretical frameworks with practical educational applications, encouraging students to develop innovative methodologies for investigating complex educational phenomena. Dr Lamb leads the Elektronisches Lernen Muzik project, which explores the relationship between music and learning, and is a co-author of the influential Manifesto for Teaching Online. He is also a key member of the Hybrid Pioneers research group, which investigates the challenges and opportunities of hybrid teaching and learning environments. These initiatives reflect his commitment to exploring the intersections between traditional educational practices and emerging digital possibilities.

Nicoline Frølichمشاهده پروفایل

استاد

• Higher education governance
• Public administration
• Institutional theory
• +۳ مورد دیگر

Nicoline Frølich is Professor and Director of the Centre for Learning and Education (LINK) at the University of Oslo, Norway. She also holds part-time Professor II appointments at the Department of Government, University of Bergen and at NIFU – Nordic Institute for Studies in Innovation, Research and Education. Education 2002 – PhD in Comparative Politics, University of Bergen 1994 – Master in Comparative Politics, University of Bergen 1992 – Pedagogy, Norwegian School of Economics (NHH) 1989 – Master in Economics and Business Administration, Norwegian School of Economics (NHH) Research Interests Frølich’s research focuses on governance, management and organisation of higher education systems, institutional reforms, knowledge policies, and public administration. She employs institutional theory to examine how universities and colleges respond to policy pressures, merger processes, quality assurance mechanisms, and leadership communication during change. Recent Publication Trends Between 2018 and 2025 her work has concentrated on three interconnected themes: leadership and communication within university mergers, gendered career trajectories in academia, and the tension between quality assurance systems and institutional autonomy. Empirically, her studies draw on Nordic and European cases, combining survey data with qualitative analyses of policy enactment. Scientific & Professional Appointments 2023–present – Academic Chair, Circle U alliance 2023–present – Member, SIKT advisory board (Norway) 2021–present – Editorial board member, TEAM – Tertiary Education and Management 2021–2022 – Chair, EAIR – The European Higher Education Society 2019–present – Advisory Board member, UKÄ (Swedish Higher Education Authority) 2019–2021 – Co-Editor-in-Chief, TEAM – Tertiary Education and Management Research Groups & Projects Frølich leads the research group Knowledge, Learning and Governance: Studies in higher education and work (HEDWORK) and participates in the Policy, Bureaucracy, and Organization (PBO) group. She is currently directing the project Re-Structure , which investigates the effects of structural reforms on Norwegian higher education institutions.