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Katherine T. MillsView profile

Associate Professor

• Cardiovascular Disease Epidemiology
• Renal Disease Epidemiology
• Implementation Science
• +5 more

Katherine T. Mills is an Associate Professor in the Epidemiology Department at Tulane University's School of Public Health and Tropical Medicine. Her research focuses on cardiovascular and renal disease epidemiology, implementation science, and health disparities, with particular emphasis on blood pressure control interventions and chronic kidney disease. Dr. Mills received her PhD in Epidemiology from Tulane University, completed a postdoctoral fellowship in cardiovascular disease epidemiology at Johns Hopkins University, earned an MSPH in Epidemiology from the University of North Carolina at Chapel Hill, and completed her undergraduate studies in Chemistry at Colorado College. Her research program spans multiple domains of public health and clinical epidemiology. Dr. Mills has established herself as a leader in studies examining the relationship between cardiovascular disease, kidney function, and health disparities. She has conducted extensive research on implementation science approaches to improve blood pressure control, particularly in underserved populations. Her work also investigates health outcomes in chronic kidney disease patients, including progression to end-stage renal disease, cardiovascular events, and mortality. Through her research, Dr. Mills has contributed significantly to understanding how social determinants of health impact cardiovascular outcomes and how community-based interventions can reduce health disparities. She has been particularly active in engaging Black churches as venues for cardiovascular health interventions. Analysis of Dr. Mills' recent publications reveals a strong focus on cardiovascular epidemiology, kidney disease outcomes, and implementation science for hypertension control. Her work frequently employs advanced statistical methods and large cohort studies, particularly the Chronic Renal Insufficiency Cohort (CRIC) study. She has published extensively on topics including blood pressure management, kidney disease progression, cardiovascular risk factors, and health disparities in minority populations. Her research often examines the intersection of social determinants of health with clinical outcomes. Dr. Mills has received numerous scientific awards including: 2020: Outstanding Achievement in Receiving Your First R01 Award 2018: Young Investigator Travel Award, NIH, NIGMS Seventh Biennial National IdeA Symposium of Biomedical Research Excellence (NISBRE) 2017: Sandra A. Daugherty Award for Excellence in Cardiovascular Disease for Hypertension Epidemiology, American Heart Association Council on Epidemiology and Prevention 2016: Award for Excellence in Research and Presentation by a Postdoctoral Fellow, Health Sciences Research Days, Tulane University 2015-2016: NIH/NHLBI T32 Cardiovascular Disease Epidemiology Training Program, Johns Hopkins University 2014: Dorothy R. LeBlanc Memorial Scholarship Award, Tulane University 2010-2012: Dean's Research Council Scholarship, Tulane University Dr. Mills has secured significant NIH funding for her research on blood pressure control interventions and health disparities. She has mentored numerous students and collaborated extensively with interdisciplinary teams across Tulane and other institutions. Her work on church-based interventions for cardiovascular health has been particularly influential in addressing racial health disparities. She has developed and tested multicomponent implementation strategies that engage community health workers and faith-based organizations to improve blood pressure control in low-income communities. Dr. Mills is actively engaged with the Chronic Renal Insufficiency Cohort (CRIC) study and has led multiple analyses examining cardiovascular outcomes in patients with chronic kidney disease. She collaborates with interdisciplinary teams including nephrologists, cardiologists, biostatisticians, and community health workers to address complex questions in cardiovascular and kidney disease epidemiology. Her current research focuses on identifying which populations benefit most from intensive blood pressure interventions and how social determinants of health influence treatment effectiveness.

Lusi LiView profile

Assistant Professor

• Computer Vision
• Machine Learning
• Wireless Communications
• +5 more

Lusi Li is an Assistant Professor in the Department of Computer Science at Old Dominion University's Batten College of Engineering & Technology. She earned her Ph.D. from University of Rhode Island in 2021, with prior degrees from Zhongnan University of Economics and Law. Ph.D. in Electrical, Computer, and Biomedical Engineering (URI, 2021) B.S. and M.S. in Computer Science (Zhongnan University, 2014 & 2017) Her research focuses on Computer Vision and Machine Learning , developing scalable algorithms for robust representation learning from large-scale data with applications in industrial processes and wireless communications. Key areas include multi-view/multi-modal learning , transfer learning , few-shot/zero-shot learning , and imbalanced learning . Recent publications reveal expertise in semantic communication , 3D shape understanding , and dynamic spectrum management , with 2025 papers at MILCOM and ACM MM. Her work often integrates graph learning and domain adaptation techniques across wireless systems and industrial fault diagnosis. Awards include multiple federal grants (NSF, ICAR) and institutional honors (FP3, Cheng Fund). She actively mentors graduate students in research and serves on editorial boards for Information Fusion and Pattern Recognition . National Science Foundation (NSF) Grant for dynamic spectrum sharing ICAR grants for coastal community AI systems ODU's FP3 and Cheng Fund awards URI graduate fellowships and awards Her teaching portfolio includes undergraduate courses in theoretical computer science and graduate-level pattern recognition.

Bastian GoldlückeView profile

Associate Professor

• Computer Vision
• Variational Methods
• Light Field Analysis
• +3 more

Bastian Goldlücke serves as an Associate Professor in the Department of Computer Science at the University of Konstanz since 2014. His academic journey includes postdoctoral positions at the University of Heidelberg (2011), TU Munich (2010), and the University of Bonn (2009), following a Ph.D. from the Max Planck Institute for Computer Science in Saarbrücken (2006). His research centers on variational methods and their applications in computer vision, with specialized focus on light field analysis and inverse problems . Key contributions include novel frameworks for light field decomposition, real-time 3D reconstruction, and attention-based neural representations. His work bridges mathematical optimization with practical computer vision challenges in autonomous systems and 3D imaging. Notable scientific recognition includes: ERC Starting Grant 'Light Field Imaging and Analysis' (2013) Funding through SFB Transregio 'Quantitative Methods for Visual Computing' Prof. Goldlücke actively contributes to the academic community as a reviewer for major conferences and journals, co-organizer of the 'Light Fields for Computer Vision' workshops at ECCV 2014 and CVPR 2017, and area chair for ACCV 2014 and 3DV 2016. His current research is supported by significant European and German research grants focusing on computational imaging and visual analysis.

Daniel HayesView profile

Research Fellow

• Child and Youth Mental Health
• Social Prescribing
• Community Engagement
• +3 more

Daniel Hayes is a Senior Research Fellow in Social Science within the Behavioural Science and Health unit at University College London. He directs the Social Prescribing Youth Network (SPYN) and serves as Deputy Director of the National Centre for Social Prescribing Data and Analysis. Hayes completed his PhD at UCL and conducted postdoctoral research at both UCL and King's College London. His research focuses on enhancing child and youth mental health through social, cultural, and community-based approaches, including school interventions and social prescribing models that integrate community resources into mental health services. Current research programs he leads include INACT (school-based social prescribing), SP:ACE (international youth social prescribing policy), YES (youth sector impact), and CASPA (CAMHS social prescribing integration). Hayes has secured over £2.5 million in research funding as PI/Co-I and teaches at both undergraduate and postgraduate levels at UCL and King's College London, where he co-leads the Health and Behaviour module. As a Fellow of the Higher Education Academy, he supervises postgraduate and doctoral students in social and community mental health. His publication portfolio demonstrates consistent focus on youth mental health interventions, social prescribing efficacy, and cross-cultural implementation studies. Research frequently employs systematic reviews, meta-analyses, and mixed-methods approaches to evaluate school programs, community partnerships, and policy development. Hayes manages the national Wellbeing While Waiting program exploring social prescribing support for youth awaiting NHS mental health services and collaborates on the ORIGIN project investigating online arts/culture interventions. He maintains active knowledge exchange through international keynote addresses and media engagement.

• Big Data
• Databases
• Data Streams
• +6 more

Panos Kypros Chrysanthis is a Professor of Computer Science at the University of Pittsburgh's School of Computing and Information, where he directs the Advanced Data Management Technologies Lab (ADMT Lab). He also holds adjunct professorships at Carnegie Mellon University and the University of Cyprus. Education: BS in Physics with concentration in Computer Science, University of Athens (1982) MS in Computer and Information Sciences, University of Massachusetts Amherst (1986) PhD in Computer and Information Sciences, University of Massachusetts Amherst (1991) Research Focus: Chrysanthis pioneers innovations in data management systems, with core expertise in Big Data, distributed/mobile computing, and real-time analytics. His work bridges theoretical advances with practical applications in sensor networks, workflow management, and urban data exploration, emphasizing architecture-aware optimizations and user-centric interfaces for complex data environments. Publication Trends: Recent works (2016-2018) reveal a strategic shift toward interactive data exploration, where his team develops frameworks for visual query recommendation (MuVE, REQUEST), architecture-aware graph processing (ARGO, PARAGON), and energy-conscious computing. These contributions address critical gaps in scalability, latency, and usability for modern data-intensive systems. Scientific Recognition: NSF CAREER Award (1995) for mobile data management ACM Distinguished Scientist and IEEE Senior Member Seven teaching awards and 2015 Provost Award for Excellence in Mentoring Funding & Leadership: Secured $1.8M NIH U01 grant for causal discovery in TOPMed data and multiple NSF awards. As Program Co-Chair for ICDE 2018 and General Co-Chair for BIRTE 2018, he shapes community standards while mentoring doctoral students through the ADMT Lab. Research Infrastructure: Founded the ADMT Lab in 1996 (celebrating 25 years in 2021), creating a hub for cutting-edge data management research with strong industry-academic partnerships focused on real-world deployment challenges.

Sarah DameryView profile

Research Fellow

• Health Services Research
• Chronic Disease Management
• Mixed Methods Research
• +3 more

Dr Sarah Damery is a Research Fellow at the University of Birmingham's Department of Applied Health Sciences within the College of Medicine and Health, a position she has held since September 2008. Her work focuses on evaluating health and social care service delivery for chronic conditions through the West Midlands Applied Research Collaboration (ARC), where she leads Theme 1 initiatives. Previously, she contributed to cancer research and chronic disease projects within the West Midlands CLAHRC from 2014-2019. Educational background: PhD in Geography, University of Cambridge, 2006 MA in Geography, University of Cambridge, 2002 BA(Hons) in Geography, University of Cambridge, 1999 Her research integrates mixed-methods approaches across diverse health domains including nephrology, cardiology, and sexual violence support services. Key interests encompass early diagnosis of chronic diseases, implementation of integrated care models, and organizational factors influencing service delivery. She specializes in combining quantitative analysis with qualitative insights to assess patient outcomes and service effectiveness, particularly in home-based care settings and voluntary sector collaborations. Analysis of her 15 most recent publications reveals dominant themes in chronic disease management, with significant contributions to dialysis services research (examining organizational culture and geographical variation), technology-enabled cardiac rehabilitation, and sexual violence support systems. Her work consistently employs mixed-methods designs across nephrology, respiratory medicine, and public health domains, with growing emphasis on LGBT health education and voluntary sector service commissioning. A notable trend involves evaluating systemic changes in healthcare delivery through multidisciplinary partnerships. Dr Damery actively collaborates on major grant-funded initiatives including the West Midlands ARC and PROSPER study, though specific grant details and student supervision records aren't publicly documented. Her work demonstrates consistent leadership in large-scale applied health research projects involving NHS partnerships and voluntary sector organizations. She currently contributes to Theme 1 of the West Midlands ARC, focusing on integrated care for chronic conditions, and collaborates extensively with sexual violence support services through the PROSPER co-production study. Her research methodology emphasizes real-world implementation within complex healthcare systems through multidisciplinary teams spanning clinical, academic, and community sectors.

Sagie BenaimView profile

Assistant Professor

• computer vision
• machine learning
• computer graphics
• +4 more

Sagie Benaim is an Assistant Professor at the School of Computer Science and Engineering at the Hebrew University of Jerusalem. Previously, he was a postdoctoral researcher at DIKU (Department of Computer Science, University of Copenhagen) working with Professor Serge Belongie and was a member of the Pioneer Center for AI. He completed his PhD at Tel Aviv University in the Deep Learning Lab under the supervision of Professor Lior Wolf. Dr. Benaim's research spans computer vision, machine learning, and computer graphics, with a particular emphasis on generative models, neural signal representations, and inverse graphics. His work explores how disentangled representations can be leveraged to better understand and manipulate visual content. He has made significant contributions to 3D scene manipulation, image-to-video generation, and neural rendering techniques. His recent publications reveal a strong trajectory toward advancing generative AI capabilities, particularly in 3D understanding, multimodal generation, and video synthesis. His research consistently bridges theoretical foundations with practical applications, demonstrating innovation in neural representation manipulation for both creative and analytical purposes. Dr. Benaim is actively seeking excellent students and postdocs to join his research group, indicating his commitment to mentoring the next generation of researchers in computer vision and machine learning. His position at the Hebrew University of Jerusalem places him within a vibrant academic community focused on advancing the frontiers of computer science.

• Machine Learning in Biomedicine
• Statistical Genetics
• Systems Genetics
• +5 more

Dr. Francesco Paolo Casale serves as Principal Investigator in Machine Learning in Biomedicine at the Helmholtz Munich Institute AI for Health, part of Helmholtz Zentrum München and affiliated with Ludwig-Maximilians-Universität München's Biomedical Center. His research develops machine learning and statistical tools to analyze genetic cohorts with deep molecular and phenotypic data, addressing fundamental biomedical questions about disease mechanisms and progression. His academic foundation includes: PhD in Statistical Genetics from University of Cambridge & EMBL-EBI (2012-2016) M.Sc. in Physics of Complex Systems from Università di Napoli Federico II (2009-2012) B.Sc. in Physics from Università di Napoli Federico II (2009) Casale's research integrates machine learning, statistical inference, and systems genetics to develop scalable tools for genetic association studies, deep learning models for imaging genetics, and computational methods examining gene-environment interactions. His work emphasizes model robustness and interpretability while investigating molecular and cellular traits associated with disease severity. Current projects focus on rare variant analysis, aberrant gene expression prediction, and longitudinal omics data integration. His publication record shows a clear progression from foundational statistical genetics methods toward increasingly sophisticated integration of machine learning with multi-omics data. Recent work emphasizes practical biomedical applications including disease risk prediction through Mendelian randomization frameworks, advanced single-cell analysis techniques, and histopathology image classification. The research demonstrates consistent methodology development focused on scalability for large datasets while maintaining biological interpretability. Key recognitions include: Highly Recognized article in PloS Genetics Research Prize (2018) Microsoft Research New England Postdoctoral Fellowship (2017) EMBL studentship (2012) Honors for MSc and BSc degrees from Università di Napoli Federico II Throughout his career at Microsoft Research, Insitro, and Helmholtz Munich, Casale has led research teams developing computational approaches at the intersection of human genetics and machine learning. His work contributes to landmark projects including the 1000 Genomes Project and Blueprint initiative, with conference presentations at major venues including NeurIPS, ASHG, and EASL. Current grant support likely stems from Helmholtz Association funding mechanisms and collaborative biomedical research programs. He directs the Systems Genetics and Machine Learning Research team at Helmholtz Munich, which operates within the Biomedical Center ecosystem of LMU Munich. The team focuses on leveraging large-scale genetic datasets with machine learning to understand disease biology, with particular emphasis on target identification and characterization for therapeutic development. Current research directions include multi-timepoint omics analysis, disease subtyping, and developing interpretable models for clinical translation.

Søren KnudsenView profile

Assistant Professor

• Information Visualization
• Human-Computer Interaction
• Data Visualization
• +3 more

Søren Knudsen is an Assistant Professor at the Digital Design Department, IT University of Copenhagen and holds a Marie Curie Fellowship for postdoctoral work at the University of Copenhagen. He serves as Academic Director of the Human Data Interaction Lab. Positions: Assistant Professor, Marie Curie Postdoctoral Scholar Affiliations: IT University of Copenhagen, University of Copenhagen Key Roles: Academic Director, Human Data Interaction Lab His research centers on information visualization and human-computer interaction , particularly in face-to-face and online contexts. He explores how large-area displays and social media can enhance data comprehension and collaborative discussion. Notable work includes surveys on interactive visualization techniques for large displays, frameworks for data visualization education , and EMR-based algorithms for healthcare performance evaluation. His publications span journals like IEEE Transactions on Visualization and Computer Graphics and PLOS ONE . Awards and honors: Marie Curie Fellowship He collaborates across disciplines, with ties to healthcare analytics, educational technology, and computer science departments. His recent studies address challenges in visualization design handoff , proxemics , and ubiquitous data interaction .

Adriane MacDonaldView profile

Associate Professor

• sustainable business
• collaborative governance
• climate governance
• +6 more

Adriane MacDonald serves as Associate Professor of Management and Canada Research Chair in Governance and Sustainability at Concordia University's John Molson School of Business. Her work bridges business strategy with sustainability imperatives through cross-sector collaboration. Her academic foundation includes: PhD in Social and Ecological Sustainability, University of Waterloo Master of Applied Environmental Studies, University of Waterloo Bachelor of Management, University of Lethbridge Dr. MacDonald's research investigates how business, government, and non-profits co-create solutions for sustainability challenges. She examines partnership formation dynamics, communication frameworks, and governance structures that yield tangible climate action outcomes, with particular emphasis on urban systems and municipal decarbonization. Her interdisciplinary approach integrates management theory with environmental science to develop practical partnership models. Analysis of her 2017-2025 publications reveals evolving focus from foundational partnership theory toward urgent climate governance applications. Recent work increasingly centers on municipal net-zero transitions, transport decarbonization, and the operational mechanics of multi-stakeholder climate action partnerships, reflecting growing policy relevance in the climate emergency context. Her recognition includes: Canada Research Chair in Governance and Sustainability, Tier 2 Dr. MacDonald actively mentors graduate researchers in sustainable business and climate governance, currently supervising projects within her CRC program. She leads multiple funded initiatives including the Municipal Net-Zero Action Research Partnership (N-ZAP) and Carbon Governance Living Lab, which engage city governments in real-world decarbonization experiments. Her teaching portfolio spans Business and Sustainability (MANA 369) and strategic management courses emphasizing responsible business practice. Through the John Molson School of Business, she coordinates research teams developing partnership frameworks for climate action, working closely with municipal governments and sustainability networks to translate academic insights into governance innovations for the net-zero transition.

• Evolutionary Perspectives on Strategic Management
• Strategic Knowledge Management
• Strategy in Business Ecosystems
• +5 more

Dr. Stefano Miraglia serves as Associate Professor of Strategy at University College London's Bartlett School of Sustainable Construction, where he investigates strategic implications of technological innovation across diverse sectors including construction, defense, and telecommunications. His research bridges theoretical frameworks with practical executive consulting for major organizations worldwide. Educational background: PhD, Imperial College Business School (2014) Recognized Fellow of the Higher Education Academy (2016) Research focuses on evolutionary strategic management through five interconnected domains: knowledge-based organizational evolution examining how firms adapt through knowledge reutilization; strategic knowledge management in fast-changing environments; business ecosystem strategy identifying competitive success factors; architectural analysis of complex systems' modularity-integrality dynamics; and business model innovation driven by servitisation, AI, and ultrafast internet implementation. His work consistently addresses how organizations manage contradictions and leverage knowledge assets strategically. Publication analysis reveals sustained exploration of knowledge governance mechanisms, organizational tensions, and innovation architectures across 15+ years, with increasing emphasis on digital transformation ecosystems and strategic responses to technological disruption. Key contributions appear in Academy of Management, Strategic Management Society, and Project Management Journal publications. Scientific recognition: Fellow of the Higher Education Academy (2016) Miraglia advises senior executives across banking, insurance, construction, and ICT sectors while teaching undergraduate through executive education programs. His professional engagement spans Academy of Management, Strategic Management Society, EURAM, EGOS, and INFORMS conferences, demonstrating consistent contribution to strategic management discourse. Current work examines tribal governance dynamics in Pakistan and cross-level tension management in complex organizations.

Roger ClarkeView profile

Senior Lecturer

• Sculpture
• Contemporary Art
• Scientific Visualisation
• +4 more

Roger Clarke is a Senior Lecturer in Fine Art at Bath Spa University's Bath School of Art, Film and Media, with over twenty years of professional experience as both a practicing artist and educator. His career spans significant exhibitions across the UK and internationally, including venues such as the Henry Moore Institute in Leeds and the Venice Biennale. His academic credentials include: BA(Hons) in Fine Art from the Slade School of Fine Art, University College London MA from London Metropolitan University Clarke's research centers on scientific visualisation and computerised fabrication processes , exploring intersections between art and science through sculptures based on molecular structures transformed into anthropomorphic forms inspired by Japanese anime. His fascination with scientific models for representing invisible phenomena culminated in works like A View of a Non-visible World (2005), which utilized Mount St Helens eruption data. His practice frequently incorporates kinetic elements, as demonstrated by the Record Player Orchestra series, merging sound, movement, and visual aesthetics through innovative use of industrial materials and analog technologies. Analysis of his 15 most recent exhibitions (2007-2021) reveals a consistent trajectory toward kinetic and sound-based sculptures, with increasing emphasis on public engagement and interdisciplinary collaboration. His work demonstrates technical evolution from geometric steel constructions to complex data-driven installations, maintaining a core focus on material transformation and viewer interaction while bridging traditional sculptural techniques with digital fabrication. His principal recognition includes: Henry Moore Sculpture Fellowship (1991) Clarke has held substantial external roles including External Examiner for Fine Art at De Montfort University (2007-2011) and advisory positions for degree validations at Thames Valley University, University of Chichester, and Central Saint Martins. His professional memberships encompass the Royal British Society of Sculptors and the National Association for Fine Art Education. His practice involves significant collaborations, as evidenced by co-curated exhibitions like DRIVE THRU and group shows engaging community contexts and public spaces.

Selpi SelpiView profile

Researcher

• Data-centric AI
• Multimodal Learning
• Unsupervised Learning
• +6 more

Selpi Selpi is a Researcher at the Department of Data Science and AI , Chalmers University of Technology. They lead Work Package 3 (Methodologies for Assessment) in the EU-funded PANACEA project , focusing on fit-to-drive assessments for professional drivers through data fusion and impairment detection. Supervision: Main advisor to doctoral students Amer Mustajbasic (2023-present) and Mengyu Huang (2024-present). Research Interests: Data-centric AI, multimodal learning, unsupervised learning, and interpretable AI applied to autonomous driving and traffic safety. Key contributions include algorithms for driver behavior analysis in mixed traffic, BEV data fusion techniques, and scenario-based risk assessment frameworks. Publications from 2025–2017 span journals like IEEE Transactions on Intelligent Transportation Systems and conference proceedings at ECML PKDD.

• Public Revenues
• Tax Theory and Law
• Tax Policy
• +1 more

Assoc. Prof. Dr. Serdar Çiçek serves as a faculty member in the Department of Finance within the Faculty of Economics and Administrative Sciences. His academic career focuses on taxation systems, public finance, and fiscal policy with specialized expertise in Turkish tax legislation and comparative international tax analysis. Education: Licence in Finance from Hacettepe University (2001) Master's in Finance (with thesis) from Suleyman Demirel University (2005) Ph.D. in Finance from Hacettepe University (2013) Çiçek's research centers on Public Revenues , Tax Theory and Law , Tax Policy , and Turkish Tax Legislation , with significant contributions to understanding taxpayer behavior, tax compliance mechanisms, and historical fiscal systems. His work frequently employs empirical methodologies examining regional taxpayer attitudes across Turkish provinces while incorporating comparative analyses of international tax frameworks including England, Germany, and Norway. Analysis of his recent publications reveals consistent scholarly output addressing evolving tax challenges, including pandemic-era revenue impacts, behavioral taxation approaches, and specialized tax systems like motor vehicle taxation. His research demonstrates strong methodological diversity spanning historical analysis, regional case studies, and cross-national comparisons. The scholar has authored multiple books covering social security financing, local government fiscal systems, and global tax challenges, demonstrating comprehensive engagement with both theoretical and practical dimensions of public finance. Information regarding scientific awards, student advising, research grants, or laboratory affiliations is not documented in the available materials.

• Strategic Human Resources Management
• Organizational Behavior
• Human Capital
• +3 more

Fabienne Autier is an Associate Professor at emlyon business school in Lyon, France, where she has been a faculty member since 2000. She previously served as Head of UPR Management Law Human Resources from 2008 to 2013. Her educational background includes a Habilitation to Supervise Research from University of Lyon III (2008), participation in the International Teachers Program at NYU Stern (1999-2000), and a Doctorate in Management Sciences from HEC Paris (1999). Her research focuses on strategic human resources management with emphasis on: Articulation of HR strategies and business strategy Specificities of human capital Contemporary evolution of work and organizations Motivation dynamics in professional environments She explores how organizations can optimize human resources through strategic alignment and adaptive management practices. Autier's publications demonstrate consistent focus on HRM challenges across industries, with notable examination of motivation crises, human capital valuation, and industry-specific applications in technology sectors like video gaming. Her work frequently addresses tensions between economic models and human-focused management approaches.