جست‌وجوی استاد و پژوهشگر

استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۳۱-۴۵ از ۶٬۳۰۸ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Sandy J. Wayneمشاهده پروفایل

استاد

University of Illinois ChicagoUnited States

Sandy J. Wayne serves as Dean of the College of Business Administration and Professor of Management at the University of Illinois Chicago (UIC), where she leads academic initiatives while maintaining an active research program. An internationally recognized expert in workplace leadership, her work focuses on developing high-performing employees through effective team leadership and organizational practices that enhance motivation and performance. She also investigates systemic barriers affecting the upward mobility of women and people of color in corporate environments. Dr. Wayne earned her academic credentials from: PhD in Management, Texas A&M University MBA, Illinois State University BS in Business Administration, Illinois State University Her research program spans leadership dynamics, organizational behavior, and diversity science. She examines how manager-employee relationships impact engagement and performance, with particular emphasis on work-family balance and career trajectory barriers for underrepresented groups. Her work bridges theoretical rigor with practical applications for organizations seeking to build inclusive, high-performance cultures through evidence-based leadership development. Analysis of her recent publications (2014-2024) reveals three dominant research streams: leader-member exchange theory (particularly LMX differentiation effects), servant leadership measurement and outcomes, and diversity dynamics in advancement pathways. Her work consistently appears in top-tier journals like Journal of Applied Psychology and Academy of Management Journal , demonstrating methodological sophistication through multi-level analyses and cross-cultural investigations. Dr. Wayne's scientific contributions have earned significant recognition: Decennial Influential Article Award for 2015 publication (2025) University Scholar, University of Illinois System (2020-2023) Faculty Impact Award, UIC Business (2019) Fellow, Academy of Management (2019) Decennial Influential Article Award for 2008 publication (2018) As Director of the Institute for Leadership Excellence and Development since 1996, she has cultivated a robust research ecosystem while leading institutional initiatives like the UIC Business Cohort Program and Business Scholars Program. Her administrative leadership extends to faculty development through her former role as Associate Dean for Faculty Affairs (2014-2022), demonstrating sustained commitment to academic excellence and organizational growth.

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Zach Shahnمشاهده پروفایل

استادیار

City University of New YorkUnited States

Zach Shahn is an Assistant Professor in the Department of Epidemiology and Biostatistics at the CUNY School of Public Health. He holds a PhD in Statistics from Columbia University and a BA in Mathematics from Stanford University. His research focuses on causal inference methods applied to healthcare data, particularly time-varying treatment effects and critical care applications. He has conducted postdoctoral work at Harvard School of Public Health and previously worked at IBM Research in Healthcare and Life Sciences. Education: PhD in Statistics and Probability, Columbia University BA in Mathematics, Stanford University Research interests include developing causal inference frameworks for evaluating treatment efficacy in dynamic healthcare settings, with a focus on critical care outcomes and methodological innovations. Recent work explores applications of causal diagrams, instrumental variables, and machine learning in healthcare decision-making. His studies often involve large-scale healthcare datasets to assess interventions' real-world impacts. Key trends in his articles include advancements in causal effect estimation under complex treatment regimes, bias analysis in observational studies, and methodological contributions to difference-in-differences and N-of-1 trial designs. His work bridges statistical theory with practical healthcare challenges, emphasizing reproducibility and policy relevance. No scientific awards are listed, though his contributions to causal inference methodologies are notable in academic circles. He has advised on healthcare data projects and published extensively without explicitly listed grants. His professional network includes collaborations with institutions like Harvard and IBM. He is affiliated with CUNY's public health programs and actively engages in academic discourse via Twitter and LinkedIn. His lab or team details are not explicitly mentioned in available materials.

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David Melcherمشاهده پروفایل

استاد

New York UniversityUnited States

David Melcher is Professor of Psychology and Program Head in Psychology at New York University Abu Dhabi (NYUAD), where he also serves as a Global Network Professor. He is affiliated with the Division of Science and leads the Perception and Active Cognition Lab, focusing on the integration of perception, attention, memory, and action within a cognitive neuroscience framework. PhD in Psychology and Cognitive Science, Rutgers University (2001) Former researcher and professor in Italy and the UK Current leadership: Program Head, Psychology, NYUAD David Melcher's research centers on cognitive neuroscience , particularly how perception, attention, working memory, eye movements, and self-motion interact to shape cognition and behavior. His lab emphasizes active cognition —the idea that perception is not passive but dynamically shaped by action, context, and goals. He investigates how temporal dynamics in neural processing organize perceptual experiences and guide decision-making. His work spans both healthy and clinical populations, exploring individual differences in spatial and temporal processing across the lifespan. The 15 most recent publications reflect a consistent focus on temporal organization in cognition , perception-action coupling , and neural mechanisms of attention and memory . Keywords across these works include cognitive neuroscience, perception, and neuroimaging, with subfields ranging from eye movement research and neural synchrony to computational modeling and clinical neuropsychology. Collectively, they demonstrate a trajectory toward integrative models of brain function that bridge behavioral, neuroimaging, and computational approaches. Among his notable recognitions is the Distinguished Scientific Award for Early Career Contribution to Psychology from the American Psychological Association (2011), highlighting the early impact of his work in cognitive neuroscience. Distinguished Scientific Award for Early Career Contribution to Psychology, APA (2011) David Melcher has advised numerous students through capstone projects in psychology and computer science, fostering interdisciplinary research at the intersection of cognitive science and technology. His research has been generously supported by major funding agencies including the European Research Council , the US National Institutes of Health , the Italian Ministry of Research and Education , and the Chinese Ministry of Foreign Expert Affairs . He also contributes to the academic community as a member of the editorial boards of Journal of Vision , Psychonomic Bulletin & Review , Perception , and iPerception . He leads the Perception and Active Cognition Lab at NYUAD, which employs a multidisciplinary approach combining behavioral experiments, neuroimaging (fMRI, EEG, MEG), eye-tracking, computational modeling, and clinical assessments. The lab’s research aims to understand how the brain constructs stable percepts from dynamic sensory input, particularly during active engagement with the environment.

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Romin W. Tafarodiمشاهده پروفایل

دانشیار

University of TorontoCanada

Romin W. Tafarodi is an Associate Professor in the Department of Psychology at the University of Toronto, where he researches cultured subjectivity and identity formation. He holds a B.A. from the University of Waterloo and a Ph.D. from the University of Texas at Austin. His work examines how societal symbols and institutional relations shape human individuality and interpersonal understanding, with secondary interests in metapsychology and philosophy of science. Research interests focus on: Self-consciousness as culturally-mediated subjectivity Contingencies of identity in social relations Cross-cultural perspectives on selfhood and personhood Philosophical foundations of psychological science His publications demonstrate consistent focus on cross-cultural identity, self-esteem mechanisms, and social perception, with frequent comparative studies between Eastern and Western societies. Recent works explore multicultural adjustment, implicit bias awareness, and narrative identity in diverse cultural contexts. Current and former graduate students include: Siobhan Flanagan (current) Tara Marshall Greg Bonn Jeff Yen Courses taught in 2024-2025: PSY197: The Extended Mind PSY428: Critical Psychology PSY425: Self and Identity

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Qimin Liuمشاهده پروفایل

استادیار

Boston UniversityUnited States

Qimin Liu is an Assistant Professor at Boston University, serving as Lab Director of the Quantitative Psychopathology Laboratory. He holds a PhD in Psychological Sciences from Vanderbilt University with specializations in Clinical Science and Quantitative Methods. His research focuses on emotional disturbances across development, statistical methodology development, and health equity with an emphasis on intersectional marginalization. He has expertise in analyzing intensive longitudinal data and has published extensively on topics like irritability, suicidality, and mental health disparities among sexual and gender minority populations. Dr. Liu’s work frequently integrates advanced statistical techniques such as latent variable modeling, network analysis, and machine learning. His recent studies explore the temporal dynamics of affect, the impact of stigma on mental health, and the role of childhood adversity in psychiatric outcomes. Notable contributions include developing methods for analyzing zero-inflated longitudinal data and creating algorithms for digital phenotyping of mood disorders through mobile device usage patterns. His scholarship emphasizes bridging clinical phenomena with rigorous quantitative approaches, addressing gaps in understanding how social determinants and individual differences shape mental health trajectories. He has collaborated on large-scale datasets like the Collaborative Psychiatric Epidemiological Surveys and contributed to interdisciplinary research on public health outcomes among aging sexual minority men. Dr. Liu’s methodological innovations include the DACF framework for ceiling/floor effect data and the lamme package for log-analytic multiplicative effects modeling. He actively publishes in high-impact journals such as Psychological Methods and Journal of Abnormal Psychology , focusing on both empirical findings and statistical best practices.

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Jose Luis Belmonte Postigoمشاهده پروفایل

پژوهشگر

Pablo de Olavide UniversitySpain

Jose Luis Belmonte Postigo is an active researcher and faculty member at the University of Seville, specifically in the Department of American History within the Faculty of Philosophy, Arts and Humanities. His academic career spans over a decade, with research activity documented from 2010 to the present. He earned his doctorate from the Pablo de Olavide University with a thesis on slavery in Santiago de Cuba (1780-1803), supervised by Dr. Juan Marchena Fernández. Belmonte Postigo's research focuses on the history of slavery in the Spanish Caribbean and Latin America, with particular attention to Cuba, Puerto Rico, Peru, and the broader Atlantic World. His work examines the social, economic, and cultural dimensions of slavery, including enslaved people's resistance strategies, social mobility, and the complex relationships between masters and slaves. He has conducted extensive research on how enslaved individuals navigated systems of power, sought freedom, and maintained cultural practices across the colonial period. His publications reveal a strong interest in the microhistories of enslaved individuals and communities, analyzing how they negotiated their circumstances within rigid colonial structures. Belmonte Postigo has made significant contributions to understanding the regional variations of slavery across the Spanish Empire, particularly examining how local contexts shaped slave societies in different parts of the Caribbean and Latin America. Belmonte Postigo has received recognition for his scholarly work, with a substantial following on academic platforms like Academia.edu where he has 938 followers. He collaborates with scholars across Latin America and Spain, contributing to edited volumes and participating in international research projects focused on slavery and colonial history. In addition to his research, Belmonte Postigo has demonstrated commitment to academic service through peer reviewing and contributing to scholarly journals. His expertise in colonial slavery has positioned him as a key contributor to ongoing scholarly conversations about the legacy of slavery in Latin America and the Caribbean.

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Helmut Lederمشاهده پروفایل

استاد

University of ViennaAustria

Helmut Leder is a Professor at the University of Vienna, specifically within the Faculty of Psychology's Department of Cognition, Emotion, and Methods in Psychology. He serves as Head of the Vienna Cognitive Science Hub, integrating interdisciplinary approaches to study aesthetic experiences and cognitive processes. His academic profile includes teaching courses in General Psychology, Cognitive Psychology, and Neurosciences, alongside supervising master's and doctoral thesis seminars focused on perception and neuroaesthetics. Key Research Areas : Empirical Aesthetics, Cognitive Psychology, Visual Perception, Cross-Cultural Psychology, Urban Art Impact, Mental Imagery Studies Methodological Focus : Eye-tracking, Machine Learning Analysis, Cross-Cultural Comparisons, Field Experiments, Neuroimaging Recent Contributions : Investigated urban art's role in stress reduction, developed network models of aesthetic experiences, explored non-visual color navigation for the blind, and applied machine learning to art evaluation. His work bridges psychology with cultural studies, examining how aesthetic experiences shape well-being and cognitive processes. Current projects emphasize the neural and behavioral distinctions between real and imagined art encounters, while challenging traditional gender-based perception models.

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Jon Grudaمشاهده پروفایل

استادیار

Maynooth UniversityIreland

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.

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Frederick Eberhardtمشاهده پروفایل

استاد

California Institute of Technology (Caltech)United States

Frederick Eberhardt is a Professor of Philosophy at the California Institute of Technology (Caltech) since 2013. He holds a B.S. from the London School of Economics (2002), an M.S. from Carnegie Mellon University (2005), and a Ph.D. from Carnegie Mellon (2007). His research focuses on the intersection of philosophy of science, machine learning, and cognitive science, emphasizing causal discovery from data, experimental methods in causality, and foundational issues in probability and causality. He also explores computational models in psychology and historical work on Hans Reichenbach's philosophy. Recent publications span topics like causal emergence, Reichenbachian probability coordination, and causal mapping in neuroscience. His work bridges formal philosophy with empirical applications in cognitive science and computational methods. Education: B.S., London School of Economics, 2002 M.S., Carnegie Mellon University, 2005 Ph.D., Carnegie Mellon University, 2007 Research interests include formal philosophy of science, causal inference techniques, machine learning applications to causal discovery, and the philosophical underpinnings of probability. His work on causal abstraction and computational models in cognitive science highlights interdisciplinary approaches to understanding causal mechanisms. Recent publications emphasize integrating experimental and observational data for causal discovery, with applications in neuroscience and psychology. Publications reflect a focus on advancing causal reasoning methods, from theoretical frameworks to empirical validation. No scientific awards are explicitly listed in the provided text. Advising and grants details are not available here. Eberhardt is affiliated with Caltech’s Philosophy Department and contributes to theoretical and applied research in causality and its implications across disciplines.

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David D. Vachonمشاهده پروفایل

دانشیار

McGill UniversityCanada

David D. Vachon is an Associate Professor in the Department of Psychology at McGill University. His research focuses on individual differences in deviance across the lifespan, emphasizing the role of personality in externalizing disorders and the absence of internal controls like empathy and constraint. He explores clinical psychology, social/personality dynamics, and developmental science. Research Interests: His work spans Personality etiology of psychopathy, antisocial personality disorder, and narcissism Deviant behaviors (substance use, aggression, crime) as natural outcomes without internal controls Developmental psychopathology and its intersection with race/criminal status Publications: His articles analyze empathy-aggression relationships, psychopathy prevalence, and DSM-5 critiques, reflecting themes of behavioral prediction and forensic psychology. Advising & Grants: No formal advisees or grant details listed. His work is supported by collaborative research networks in clinical and developmental psychology.

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Pia Knoeferleمشاهده پروفایل

استاد

Humboldt UniversityGermany

Prof. Dr. Pia Knoeferle is a leading academic at Humboldt-Universität zu Berlin , where she serves as a Professor in the Department of German Language and Linguistics . She is a principal investigator in the Collaborative Research Center (CRC 1412) focused on register phenomena and leads the Reaction Time, Eye-tracking, and EEG Laboratories . Her research spans psycholinguistics , cognitive neuroscience , and computational modeling of language , with a central interest in how real-time language comprehension interacts with social context , formality-register congruence , and morphosyntactic processing . Appointments: Professor at Humboldt-Universität (2024), CRC 1412 member Methodologies: Eye-tracking, EEG, Visual World Paradigm, ERP Her work investigates lifespan language processing (children, adults, older adults) through contextual cue integration , including emotional , spatial , and social context such as gender cues , eye gaze , and facial expressions . Key questions include: How do pragmatic and contextual factors modulate lexical and grammatical processing ? What representations underlie register sensitivity in spoken and written comprehension ? Recent articles (2022-2024) focus on register congruence effects in German sentence processing, age-related differences in formality-register anticipation , and interactions between register and morphosyntactic knowledge . Using eye-tracking and visual world paradigms , her team examines incremental integration of socially-situated context with verb-argument relations and grammatical constraints . Findings suggest subtle late-stage register effects and interference between pragmatic and syntactic processing . Her lab collaborates with researchers like Katja Maquate , Valentina Nicole Pescuma , and Camilo Ronderos , contributing to the Frame text of the Second Phase Proposal for CRC 1412 (2020) and subsequent reviews in Frontiers in Psychology (2023). The work emphasizes complementary methods to model register variability across languages , modalities , and cultural contexts .

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Jan O. Jonssonمشاهده پروفایل

استاد

University of OxfordUnited Kingdom

Jan O. Jonsson is a Professor of Sociology at Nuffield College, University of Oxford. His primary research focuses on social stratification, including educational inequality, class structure, and social mobility. He also studies ethnic stratification, particularly through his role as Principal Investigator (PI) for Sweden in the comparative CILS4EU project on minority schoolchildren integration. Jonsson oversees the Swedish Level-of-Living Survey (LNU), shaping his interest in welfare distribution analysis. His work bridges macro-level social structures with micro-level individual experiences, emphasizing intergenerational processes and immigrant integration. Research interests prominently feature studies on educational attainment disparities, immigrant integration dynamics in Sweden and Europe, and the social consequences of economic hardship. His recent work explores occupational aspirations among immigrant youth, mental health advantages of immigrant backgrounds, and policy impacts on child poverty during economic crises. As PI for CILS4EU, Jonsson leads a multinational study investigating educational and social integration trajectories of second-generation immigrants across Europe. His contributions include analyzing Sweden’s ‘middle way’ between social mobility and inequality patterns, and evaluating educational expansion strategies’ equity impacts. He has authored numerous articles on poverty measurement, family influences on mobility, and the role of education in socioeconomic reproduction. Key projects include the Level-of-Living Survey (LNU), which tracks welfare metrics, and comparative studies on social mobility across nations. His work frequently engages with policy implications of structural inequities, offering evidence-based insights for educational and social policies.

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Nathan W. Hudsonمشاهده پروفایل

دانشیار

Southern Methodist UniversityUnited States

Nathan W. Hudson is an Associate Professor in the Department of Psychology at Southern Methodist University (SMU) in Dallas, Texas. Previously, he received his Ph.D. in Psychology from the University of Illinois at Urbana-Champaign in 2016. His research focuses on personality psychology, particularly how people's personalities change across time and how individuals function in romantic relationships. He leads the Δ Lab at SMU, which investigates individual differences in human personality. Education: 2016 – Ph.D., Psychology, University of Illinois at Urbana-Champaign 2011 – M.A., Psychology, University of Illinois at Urbana-Champaign 2009 – B.A., Purdue University Nathan Hudson's primary research area is volitional personality change—people's desires and attempts to change their own personality traits. His groundbreaking research has shown that approximately 90% of people want to change aspects of their personality traits, and moreover, they may be able to find some degree of success in doing so. He also studies adult attachment styles and how people function in close relationships. Hudson's work suggests that attachment anxiety is linked to false memories, and that people's attachment styles can change over time. His research integrates both theoretical and applied perspectives, with implications for therapeutic interventions and personal development. Hudson's recent publications demonstrate a clear trajectory toward understanding the mechanisms of personality change and developing effective interventions. His work spans across multiple domains of personality psychology, with a particular emphasis on the Big Five personality traits, attachment theory, and well-being. A consistent theme throughout his research is examining how people's desires for change translate into actual personality growth. His work has increasingly focused on the practical applications of personality science, including developing measures and interventions that can help people achieve their desired personality changes. Scientific Awards: Goss-Lucas Award for Excellence in Teaching James Davis Fellowship Foundation for Personality and Social Psychology Heritage Dissertation Award Hudson actively mentors students in the Δ Lab at SMU, where they conduct research on personality change, attachment, and well-being. He has secured multiple grants to support his research on volitional personality change and the development of personality assessment tools. His lab has developed several psychological measures, including the Change Goals Big Five Inventory (C-BFI2) and its variants, which are freely available for academic research. Hudson also engages with the public through his TEDx talk "You Can Change Your Personality" and has been featured in Olga Khazan's book "Me, But Better," which applies his research to real-life settings. The Δ Lab, led by Hudson, is dedicated to understanding individual differences in personality and how people can intentionally change aspects of themselves. The lab values all individual differences among humans, recognizing that variance in human thoughts, feelings, and behaviors is adaptive and makes humanity resilient. The lab wholeheartedly supports the LGBTQ+ community and emphasizes that individual differences between humans are what personality science is all about.

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Ethiraj Gabriel Dattatreyanمشاهده پروفایل

استادیار

New York UniversityUnited States

Ethiraj Gabriel Dattatreyan is an Assistant Professor in the Department of Anthropology at New York University. He holds a joint PhD in Anthropology and Education from the University of Pennsylvania (2015) and a B.A. in Economics and Finance from George Mason University (1997). His research focuses on media consumption, production, and circulation in relation to migration, gender, race, and urban space. He co-edits the Multimodal Section of the American Anthropological Association's flagship journal, American Anthropologist. His first book, *The Globally Familiar: Digital hip hop, masculinity and urban space in Delhi* (Duke UP, 2020), examines how Delhi’s youth utilize hip hop aesthetics through digital platforms. His forthcoming co-authored book *Digital Unsettling: Decoloniality and Dispossession in the Age of Social Media* (NYU Press) critiques corporate social media’s colonial legacies. Current projects include ethnographic work on African communities in India and a study of Angolan anthropologist Augusto Zita N’Gonguenho’s anticolonial methodologies. He previously served as Senior Lecturer and co-director of the Centre for Visual Anthropology at Goldsmiths, University of London. His research employs collaborative, multimodal approaches to explore decoloniality, digital media’s socio-political impacts, and urban cultural dynamics.

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Keely Duganمشاهده پروفایل

استادیار

University of Missouri , ColumbiaUnited States

Keely Dugan serves as an Assistant Professor in the Department of Psychology at the University of Missouri, directing the Personality, Attachment, and Change (PAC) Lab in McReynolds Hall. She holds a PhD in Social/Personality Psychology from the University of Illinois at Urbana-Champaign (2023) and completed an NIMH T32 Postdoctoral Fellowship at the University of Minnesota (2024). Her research investigates dynamic changes in personality traits and attachment styles across time, life experiences, and social contexts. Using advanced statistical methodologies, she examines how individual differences manifest in everyday environments, emphasizing how cumulative "little moments" shape long-term development. This work bridges personality psychology, attachment theory, and contextual behavioral science. Recent 2024 publications reveal three interconnected research strands: quantifying life events' impact on personality trajectories, testing attachment theory's canalization hypothesis through within-subject variations, and conducting systematic reviews of queer/minority identities in relationship science. These studies demonstrate her interdisciplinary approach combining longitudinal analysis, computational modeling, and inclusive relationship research. Dr. Dugan's scientific recognition includes: NIMH T32 Postdoctoral Fellowship (2024) She actively recruits graduate students for Fall 2025 and teaches PSYCH 9330 (Graduate Research Methods), PSYCH 8620 (Graduate Seminar in Personality Psychology), and PSYCH 2320 (Introduction to Personality Psychology). Current projects include NIH-funded personality-environment interaction studies and development of AI-assisted coding methodologies for behavioral research. The PAC Lab, located in McReynolds Hall's Lower Level, currently spearheads a groundbreaking project analyzing 3D living room scans to predict personality traits through environmental cues. This initiative employs both human coders and machine learning algorithms to examine how physical spaces reflect and influence individual differences in attachment and personality expression.

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