جست‌وجوی استاد و پژوهشگر

Joshua Jacksonمشاهده پروفایل

استاد

• Personality Psychology
• Personality Development
• Personality Assessment
• +۵ مورد دیگر

Joshua Jackson is a Professor of Psychological & Brain Sciences at Washington University in St. Louis, holding the endowed Saul and Louise Rosenzweig Professorship of Personality Science. His research focuses on personality development and assessment within the Department of Psychological & Brain Sciences, where he maintains an active laboratory in Somers Family Hall. His academic credentials include a PhD from the University of Illinois, Urbana-Champaign and a BS from the University of Wisconsin, Madison. These foundational experiences established his expertise in psychological methodology and longitudinal research design. Professor Jackson's research program investigates the genetic and environmental antecedents of personality change, with particular emphasis on educational experiences as catalysts for development. He examines methodological challenges in personality assessment, comparing self-reports, observer-reports, behavioral observations, and physiological measures across the lifespan. His work bridges theoretical personality psychology with real-world applications in health, relationships, and occupational outcomes. Analysis of his 2012-2014 publications reveals consistent themes: personality's role in predicting life outcomes (divorce, longevity, occupational success), the plasticity of traits in adulthood, and innovative methodological approaches to longitudinal assessment. His research demonstrates how personality traits interact with major life transitions including marriage, retirement, and military service. While no specific awards are documented in the provided materials, his work appears in premier journals including Psychological Science and the Journal of Personality and Social Psychology. Information regarding graduate student mentoring and research funding sources remains unspecified in available records.

Lieselotte Ahnertمشاهده پروفایل

استاد مهمان

• Developmental Psychology
• Attachment Theory
• Early Childhood Development
• +۵ مورد دیگر

Lieselotte Ahnert serves as a Visiting Professor for Developmental Psychology at the Free University of Berlin's Department of Education and Psychology, specifically within the Department of Developmental Science and Applied Developmental Psychology. Her academic journey began at Humboldt University in East Berlin, where she studied psychology during a period of significant political change in the GDR. After completing her doctorate in 1982, she held various research positions including director of the Interdisciplinary Center for Applied Socialization Research (IZAS e.V.) from 1991-1996 and a visiting scientist position at the National Institutes of Health in Washington from 1996-1999. Prior to her current position at FU Berlin (since 2019), she was a Professor of Developmental Psychology at the University of Vienna from 2008-2019. Professor Ahnert's research focuses on early childhood development, attachment theory, and the specific contributions of fathers to child development. Her work examines how children develop within various caregiving contexts, including the transition from home to childcare settings, the effects of socioeconomic disadvantage on attachment security, and the unique role fathers play in children's language development and emotional regulation. She has conducted extensive research on stress responses in infants during childcare transitions and how care providers influence these responses. Her interdisciplinary approach draws from behavioral biology, genetics, neuroscience, pediatrics, and education to understand the complex interplay between genetic and environmental influences in early development. Ahnert's publication record demonstrates significant contributions to understanding father-child relationships, with recent work exploring how fathers' attachment security and education contribute to early child language skills beyond mothers' influence. Her research has also examined the 'terrible twos' phase, investigating how children cope with frustration and tantrums and how parents support them through these developmental challenges. She has published extensively in high-impact journals including Child Development, Developmental Psychobiology, and Attachment and Human Development. Professor Ahnert has received recognition for her expertise, including being commissioned to provide expertise for the Federal Chancellery of Austria in 2021. Her work has practical applications in early childhood education and intervention programs, particularly in understanding how public childcare can compensate for developmental risks in socioeconomically disadvantaged children. In addition to her research, Ahnert has made significant contributions to academic training and supervision. Her book publications, including 'It's the fathers who matter' (2023) and 'How much mother does a child need?' (2020), bridge the gap between academic research and public understanding of child development. Her work continues to influence both academic discourse and practical approaches to early childhood care and education.

Mapuana Antonioمشاهده پروفایل

دانشیار

• Indigenous Health
• Native Hawaiian Health
• Community-Based Participatory Research
• +۳ مورد دیگر

Mapuana Antonio is an Associate Professor and head of the Native Hawaiian and Indigenous Health Program at the University of Hawai'i at Manoa. A Native Hawaiian scholar, she conducts community-based participatory research with Native Hawaiian communities to improve holistic health and wellbeing through a focus on resilience and cultural alignment. Her educational background includes: DrPH in Community-Based and Translational Research from the University of Hawai‘i at Mānoa Certificate in Measurement and Statistics (EDEP) from the University of Hawai‘i at Mānoa MA in Counseling Psychology from Washington State University BS in Psychology from Washington State University Dr. Antonio's research takes a strengths-based approach to enhance the physical, mental, and spiritual health of Native Hawaiians. She redefines health and resilience through Native Hawaiian worldviews, addressing structural and socio-cultural determinants. Her work emphasizes community-based participatory research, cultural practices, and the role of 'Āina (land) connectedness in fostering resilience and optimal wellbeing (Mauli Ola). Her recent publications (2017-2024) demonstrate a consistent focus on developing culturally grounded measures for Native Hawaiian health and resilience. Key projects include the Ke Ola O Ka ‘Āina study on 'Āina connectedness and the adaptation of historical loss scales. Her research integrates qualitative and quantitative methods, often co-developed with community partners, to address health disparities and promote culturally relevant interventions. Dr. Antonio has not been mentioned to have received specific scientific awards in the provided information. She secures significant research funding, including as PI for the Ola HAWAII and PIKO pilot studies and co-PI for Project Mōkiha funded by the Robert Wood Johnson Foundation. Her grants support community-driven initiatives in Indigenous health, resilience, and environmental restoration. She mentors students and community members through the NHIH Summer Health Academy and collaborative research projects. Dr. Antonio leads the Native Hawaiian and Indigenous Health Program and collaborates with community research groups such as the Pono Research Hui and Limu Hui. Her work is deeply embedded in partnerships with Native Hawaiian communities, ensuring that research is conducted with and for the community to restore cultural practices and health sovereignty.

Claudia Wagnerمشاهده پروفایل

استاد

• Computational Social Science
• Algorithmic Fairness
• Digital Behavioral Data
• +۷ مورد دیگر

Claudia Wagner is a full professor for Applied Computational Social Sciences at RWTH Aachen University and the Scientific Director of the Computational Social Science department at GESIS—Leibniz Institute for the Social Sciences. She is also an External Faculty member at the Complexity Science Hub Vienna. Her work bridges computer science and the social sciences to study algorithmic systems and their societal impacts. Her research focuses on socio-technical phenomena such as inequality, sexism, and perception bias in algorithmically infused societies. She investigates methodological challenges in using digital behavioral data to study human behavior, attitudes, and group dynamics. Her interests span computational social science, algorithmic fairness, network science, and AI ethics. The analysis of her recent publications reveals a strong emphasis on bias, fairness, and methodological rigor in digital data analysis. Her work spans AI psychometrics, gender inequality in online platforms, and validation frameworks for digital traces. She frequently publishes in top-tier venues such as Nature , Science , and AAAI conferences. DOC-fFORTE fellowship from the Austrian Academy of Sciences Four best paper awards at international conferences (ICWSM, CSCW, WWW, AAAI) Associate Editor, EPJ Data Science Steering Committee Member, International AAAI Conference on Web and Social Media Board Member, International Society for Computational Social Science Claudia Wagner has led and co-led substantial research projects funded by national and international agencies. She mentors a diverse group of PhD students working on topics like algorithmic bias, data quality, and dehumanization. She has organized training events such as the CSS Methods Summer School and delivered keynotes globally on inequality and computational social science. She leads the Computational Social Science department at GESIS and collaborates with interdisciplinary teams at RWTH Aachen and the Complexity Science Hub. Her group develops tools for measuring algorithmic impacts and visualizing disparities in socio-technical systems, such as the 'Planets of Disparity' dashboard.

Stephen D. Hartمشاهده پروفایل

استاد

• clinical-forensic psychology
• violence risk assessment
• psychopathic personality disorder
• +۵ مورد دیگر

Stephen D. Hart is a Full Professor in the Department of Psychology at Simon Fraser University, with expertise in clinical-forensic psychology. His work focuses on assessment in criminal and civil settings, particularly violence risk and psychopathic personality disorder. He has also served as a Visiting Professor at the University of Bergen since 2000 and provides violence risk assessment and management services through Protect International Risk and Safety Services. Dr. Hart completed his education at the University of British Columbia, obtaining a BA in 1984, MA in 1987, and PhD in 1993. He began teaching at Simon Fraser University in 1990 and was appointed a regular faculty member in 1994. His primary research interest is clinical-forensic assessment, with specific focus on violence risk (including intimate partner violence, sexual violence, stalking, workplace violence, and terrorism) and psychopathic personality disorder. He co-developed the Structured Professional Judgment (SPJ) approach to violence risk assessment and has co-authored numerous SPJ violence risk assessment guides including HCR-20, RSVP, SVR-20, SARA, B-SAFER, SAM, PATRIARCH, MLG, and EARLI. He also developed the Comprehensive Assessment of Psychopathic Personality (CAPP) concept map with colleagues at Glasgow Caledonian University and the University of Liverpool. His publication record shows consistent output with significant contributions to understanding violence risk assessment across cultures and settings, as evidenced by his work on cases like Ewert v. Canada. His recent publications focus on economic analysis of crime costs associated with psychopathic personality disorder, stalking recidivism, and online stalking behaviors. Distinguished Contributions Award, American Academy of Forensic Psychology (2019) Distinguished Achievement Award, Association of Threat Assessment Professionals (2009) Career Achievement Award, Section on Clinical Emergencies and Crises (Section VII) of the Society of Clinical Psychology (2003) Jerome Fisher Memorial Lecture Award (2001) Saleem Shah Award for Early Career Research Excellence (1995) Dr. Hart has supervised numerous graduate and undergraduate students at Simon Fraser University and other institutions, and has acted as external examiner for graduate students worldwide. His research has received substantial funding, enabling the development and validation of multiple assessment instruments that have become standards in forensic practice. He has also served as Editor of the Journal of Threat Assessment and Management, further demonstrating his leadership in the field. Dr. Hart leads or significantly contributes to research teams focused on violence risk assessment and psychopathy assessment, collaborating with international colleagues across multiple disciplines including psychology, psychiatry, criminology, and law. His work bridges academic research and practical application in forensic settings globally.

Yavuz Yakutمشاهده پروفایل

استاد

• Rehabilitation Science
• Physiotherapy
• Biomechanics
• +۵ مورد دیگر

Prof. Dr. Yavuz Yakut serves as full-time Professor and Head of the Department of Physiotherapy and Rehabilitation at Hasan Kalyoncu University's Faculty of Health Sciences since 2016. Previously, he held academic positions at Hacettepe University from 1985 to 2016, progressing from Research Assistant to Professor, while concurrently serving on national committees including the Ministry of Health and Ministry of Finance Budget Implementation Commissions (1997-2003) and YÖK Physiotherapy Sub-Commission (2013-2016). His educational foundation includes a Bachelor's (1984), Master's (1987), and PhD (1990) in Physiotherapy and Rehabilitation, all completed at Hacettepe University. Yakut's research demonstrates exceptional breadth across rehabilitation science, with concentrated expertise in biomechanics and scoliosis rehabilitation . His work significantly advances neurological rehabilitation for conditions like multiple sclerosis and cerebral palsy, while pioneering applications in burn rehabilitation and orthotics/prosthetics . Recent publications reveal strategic integration of biopsychosocial models and telerehabilitation , particularly addressing pandemic-related challenges and chronic disease management across diverse populations. Analysis of his 2023-2025 publications shows consistent interdisciplinary innovation: validating cross-cultural assessment tools (e.g., Turkish translations of scoliosis and ADL questionnaires), developing novel exercise protocols (dance therapy, cognitive exercise therapy), and investigating rehabilitation responses in complex cases including HIV, rheumatic diseases, and post-earthquake trauma. His methodology frequently combines biomechanical analysis with patient-centered outcomes, demonstrating particular rigor in controlled trials for spinal deformities and burn recovery. His leadership extends beyond direct research through committee roles shaping national rehabilitation policy and educational standards, including his current departmental leadership and recent systematic review on physiotherapy distance education during pandemic disruptions.

Luke Miratrixمشاهده پروفایل

استادیار

• Causal Inference
• Treatment Effect Heterogeneity
• Cluster Randomized Trials
• +۴ مورد دیگر

Luke Miratrix serves as Assistant Professor at Harvard Graduate School of Education and affiliate faculty in Harvard Department of Statistics. His methodological expertise centers on causal inference applications in educational research, particularly treatment effect heterogeneity and cluster-randomized trial evaluation. His academic background includes a Doctorate in Statistics from University of California, Berkeley (2012), Master of Science in Computer Science from M.I.T., Bachelor of Science in Computer Science from California Institute of Technology, and Bachelor of Arts in Mathematics from Reed College. Prior to academia, he spent seven years as a high school teacher and tutor. Miratrix's research prioritizes minimal-assumption statistical approaches to validate data-driven arguments. Key interests include developing methods for characterizing variation in treatment impacts, analyzing post-treatment subgroups, and applying high-dimensional techniques to text summarization in legal, journalistic, and educational contexts. His work consistently bridges theoretical statistics with practical implementation challenges in real-world settings. Analysis of his recent publications (2023-2025) reveals three dominant trends: advancement of matching methodologies (e.g., synthetic controls, caliper matching), refinement of heterogeneous treatment effect estimation across multisite trials, and integration of machine learning with human coding for efficient text-based inference in educational assessments. These efforts demonstrate increasing focus on scalable, accessible tools for applied researchers. He contributes to methodological infrastructure through the CARES Lab and software packages like 'matchMulti' and 'textreg', providing practical implementation guides for complex statistical techniques. His work emphasizes translating advanced causal inference methods into usable frameworks for education researchers and policymakers.

• Research Synthesis Methods
• Meta-Analysis
• Evidence Gap Maps
• +۱۲ مورد دیگر

Prof. Dr. Michael Bosnjak leads the Department for Psychological Research Methods at the University of Trier, Germany, focusing on research synthesis methods, theory-driven machine learning, survey methodology, and experimental designs applied to personality psychology (HEXACO model), consumer behavior, and public health. His team includes Dr. Henning Silber (GESIS), Dr. Bernd Weiß (GESIS), and international collaborators at Utrecht University. Affiliation: University of Trier (Department of Psychology) Editorial Roles: Zeitschrift für Psychologie (Editorial Board), Social Science Computer Review (Associate Editor), Frontiers in Psychology (Review Editorial Board) Grants: DFG SFB 884 (co-applicant), DFG Project PaCO (2019-2024, principle investigator), BMBF-funded GESIS Panel Campus His recent publications analyze panel conditioning effects in longitudinal studies, e-commerce privacy dynamics, personality-trait interactions, and psychosis proneness measurement. Scientific awards include the 2016 BMBF infrastructure grant, 2011 Isaac Manasseh Meyer Fellowship, and 2003 Karin Islinger Award. Current projects address data quality in probability-based and opt-in panels, with experimental designs across eight groups testing measurement error mechanisms. He serves as a co-editor for multiple special issues on survey methodology and tourism psychology.

• Statistical Modeling
• Bayesian Analysis
• Educational Data Analysis
• +۴ مورد دیگر

Dr. Haiyan Liu is an Associate Professor of Quantitative Methods, Measurement, and Statistics in the Department of Psychological Sciences at the University of California, Merced, within the School of Social Sciences, Humanities, and Arts. She earned her Ph.D. in Quantitative Psychology from the University of Notre Dame (2018). Her research focuses on advanced statistical modeling of psychological and educational data, including high-dimensional, longitudinal, and social network data. She develops Bayesian methodologies and machine learning techniques to enhance understanding of human behavior, with recent emphasis on structural equation modeling, network dynamics, and nonparametric growth curves. Her work addresses challenges in survey methodology and behavioral data analysis. Dr. Liu’s educational background includes a Ph.D. in Quantitative Psychology from the University of Notre Dame (2018), complementing her current academic role. Her lab, accessible at https://sites.google.com/view/ucmhaiyanliu , supports her research activities. Her research interests span Bayesian SEM, social network analysis, and applications of machine learning to behavioral data, aiming to bridge methodological innovation with practical psychological inquiry. Her recent articles highlight advancements in Bayesian model selection, longitudinal sentiment analysis, and social network mediation. She emphasizes prior specification rigor in Bayesian frameworks and explores nonlinear relationships in social dynamics. Though no awards are explicitly listed, her contributions to statistical methodologies in psychological research reflect significant scholarly impact. Dr. Liu advises students in quantitative methods and has developed software tools like logistic4p for misclassification correction in logistic regression. Her work integrates computational methods with theoretical advancements, positioning her as a key contributor to modern quantitative psychology.

Amy Vaughan Van Heckeمشاهده پروفایل

استاد

• Developmental Psychology
• Neuroscience
• Autism Spectrum Disorder
• +۵ مورد دیگر

Amy Vaughan Van Hecke serves as Assistant Chair and Professor in Marquette University's Department of Psychology, leading research on autism spectrum disorder (ASD) and social development across the lifespan using neuroimaging and psychophysiological methods. She directs community initiatives to improve autism services access for underserved Milwaukee populations through the Next Step Clinic. Her academic foundation includes: B.A. in Psychology from Smith College Ph.D. in Developmental Psychology from the University of Miami Dr. Van Hecke's research centers on brain activity, heart rate regulation, and social behavior in individuals with and without ASD, utilizing high-density EEG and MRI to examine neural responses to interventions like PEERS ® . Current projects investigate pandemic impacts on social interaction in autistic adults and neural mechanisms of social isolation remediation. Her work bridges laboratory neuroscience with community-based clinical applications. Publication analysis reveals consistent focus on intervention efficacy (particularly PEERS ® ), neural plasticity measurement, and comorbid conditions across developmental stages. Recent work emphasizes gender-specific outcomes, family impacts, and pandemic-related mental health, demonstrating methodological diversity from EEG asymmetry to community-based participatory research. Her distinguished scientific recognition includes: Kirschstein National Research Service Award (NRSA) from the National Institute of Mental Health Dr. Van Hecke mentors students through her Marquette Autism Project lab and the Next Step Clinic training program while securing major grants from Marquette University, Johnson Controls Foundation, and the Greater Milwaukee Funders’ Collaborative. She teaches undergraduate/graduate courses in developmental psychology and statistics. Advising: Clinical psychology graduate mentorship (excluding 2025 intake); undergraduate research supervision Grants: $500k+ secured for Next Step Clinic serving underserved Milwaukee children She co-directs the Marquette Interdisciplinary Autism Initiative and the Next Step Clinic, which employs a Family Navigation model in Milwaukee's Metcalfe Park neighborhood to provide autism screening, diagnosis, and therapy for children aged 15 months-10 years facing systemic barriers to care.

Matthew J. Mayhewمشاهده پروفایل

استاد

• Higher Education
• Student Affairs
• Impact of college on student learning
• +۷ مورد دیگر

Matthew J. Mayhew serves as the William Ray and Marie Adamson Flesher Professor of Educational Administration within the Department of Educational Studies at The Ohio State University's College of Education and Human Ecology. He received his BA from Wheaton College, Illinois; his master's degree from Brandeis University; and his PhD from the University of Michigan in 2004. Dr. Mayhew maintains an active research agenda examining how collegiate conditions, educational practices, and student experiences influence learning and democratic outcomes. Dr. Mayhew's research interests span higher education's impact on moral reasoning, pluralism, productive exchange across worldview differences, and innovation capacity. His work particularly focuses on religious, spiritual, and secular diversity in higher education settings, examining how these dimensions shape campus climate and student development. He has developed significant assessment tools such as the Interfaith, Spiritual, Religious, and Secular Campus Climate Index (INSPIRES) to measure institutional commitment to diverse worldview identities. His recent publications reveal a strong emphasis on innovation capacity development in students, religious pluralism in college settings, and the impact of campus environments on diverse student populations. The research demonstrates increasingly interdisciplinary approaches, with collaborations spanning engineering education, sustainability initiatives, and international comparisons of educational systems. American Educational Research Association Religion and Education SIG Emerging Scholar Award Diamond honoree by ACPA-College Student Educators International Dr. Mayhew has successfully secured over $20 million in research funding from prestigious sources including the National Science Foundation, the Ewing Marion Kauffman Foundation, the Andrew C. Mellon Foundation, the Templeton Religion Trust, and the Arthur Vining Davis Foundations. His major research projects include EDiCTS (Enhancing Diversity in Career and Technical STEM), EDiCTS 2.0, EmPOWERment, and InFORM (Including Faculty on Religious, Spiritual, & Secular Mattering). He serves as editor of the Digest of Recent Research and has held editorial board positions for the Journal of Higher Education, Research in Higher Education, and the Journal of College Student Development.

Eunjung Leeمشاهده پروفایل

استادیار

• Educational Technology
• Gifted Education
• Teacher Education
• +۳ مورد دیگر

Eunjung Lee serves as Assistant Professor of Business Analytics in the College of Business at Lewis University, bringing extensive industry experience from Samsung and LG alongside prior academic roles at Indiana State University. Her expertise bridges business analytics and educational technology with a pronounced focus on equity-driven research. Her educational foundation includes: Ph.D. in Information Technology Management, University of Wisconsin-Milwaukee M.B.A., Korea University B.S., Kwangwoon University Dr. Lee's research trajectory evolved from business analytics toward educational equity, with recent work emphasizing computational thinking in mathematics education, teacher preparation models, and machine learning applications for gifted identification. She investigates how digital tools transform pedagogy while addressing systemic barriers for underrepresented students. Analysis of her 2022-2025 publications reveals dominant themes in equitable gifted identification through cross-cultural validation of the HOPE rating scale, computational thinking integration in teacher training, and longitudinal studies of enrichment program impacts. Her methodology consistently combines quantitative analysis with equity-centered frameworks. No scientific awards were documented in available sources. While specific advising details remain unreported, her courses in Business Intelligence and Forecasting demonstrate applied analytics instruction. Research grants weren't specified in source materials. Collaborative structures like the Lowell Stahl Center for Entrepreneurship provide institutional context, though dedicated labs or research teams weren't explicitly referenced.

Rick Busselleمشاهده پروفایل

دانشیار

• Media Effects
• Narrative Engagement
• Social Perception
• +۳ مورد دیگر

Rick Busselle is an Associate Professor at Bowling Green State University (BGSU), affiliated with the School of Media & Communication within the College of Arts & Sciences. His research focuses on how mediated narratives influence perceptions of social issues like poverty and crime, emphasizing engagement, perceived realism, and the social construction of reality through media. He holds a B.S. in Journalism from BGSU, an M.A. in Telecommunication, and a Ph.D. in Mass Media, both from Michigan State University. Dr. Busselle’s work appears in journals like Communication Theory and Media Psychology , with a focus on narrative engagement, media effects, and psychophysiological responses. He has served on editorial boards for Media Psychology , The Journal of Broadcasting & Electronic Media , and co-edited Media Psychology . His courses include Media Effects, Quantitative Research Methods, and Strategic Communication. His scholarship bridges narrative theory and audience psychology, exploring how stories shape social realities. Recent publications (2022–2008) highlight themes like epistemic monitoring in stories, narrative persuasion, and the cultivation of perceived realism. His research underscores the interplay between cognitive processes and media influence, with applications in communication studies and journalism. Busselle’s contributions extend to editorial leadership and academic mentorship, shaping discourse in media psychology and communication theory without explicit awards but recognized through peer contributions and publication impact.

Zelalem Negeriمشاهده پروفایل

استادیار

• Biostatistics
• Meta-Analysis
• Diagnostic Test Accuracy
• +۳ مورد دیگر

Zelalem Negeri is an Assistant Professor in the Department of Statistics and Actuarial Science at the University of Waterloo, affiliated with the Faculty of Mathematics. His work focuses on statistical methods for diagnostic test accuracy, depression screening tools, and meta-analytic techniques. He collaborates with groups like DEPRESSD (Depression Screening Data) to improve mental health assessment methodologies. Research interests include robust meta-analysis models for accommodating outliers, optimal cutoff determination for screening tools (e.g., PHQ-9, EPDS), and evaluating diagnostic accuracy across diverse populations. His studies often use individual participant data (IPD) to enhance precision in estimating depression prevalence and screening tool performance. Recent work emphasizes validating shortened screening tools (e.g., EPDS-Dep-5) and comparing depression assessment methods across modes (e.g., self-administered vs. clinician-administered). He also investigates pandemic-related mental health impacts in populations with systemic sclerosis and explores statistical methods to mitigate biases in data-driven cutoff selection. No scientific awards are explicitly mentioned. His contributions span collaborations with interdisciplinary teams, including the Scleroderma Patient-centered Intervention Network (SPIN), and involve developing robust statistical frameworks to address variability in diagnostic studies.

• Social Psychology
• Gender Studies
• Gender-Based Violence
• +۹ مورد دیگر

Virginia Ferreiro Basurto is an Assistant Professor in the Department of Psychology at the University of the Balearic Islands (UIB), where she teaches undergraduate and postgraduate courses in psychology, with a strong focus on gender equality and gender-based violence. She is actively involved in postgraduate coordination, including the Chair of Gender Violence Studies and the Summer University of Gender Studies at UIB. Assistant Professor, Department of Psychology, University of the Balearic Islands Coordinator, Chair of Gender Violence Studies, UIB Coordinator, Summer University of Gender Studies, UIB Member, Gender Studies Research Group (ESTUDEGE), UIB Education: Degree in Pedagogy, University of the Balearic Islands Master’s in Inclusive Education, University of the Balearic Islands Doctoral Candidate in Interdisciplinary Gender Studies, University of the Balearic Islands Dr. Ferreiro Basurto’s research centers on gender perspectives in the Information Society, with emphasis on ICT-related social-digital exclusion of women and sexist cyberviolence. Her work explores implicit and explicit attitudes toward gender-based violence, bystander intervention, street harassment, and the myth of romantic love as a justification for abuse. She has contributed extensively to academic discourse through publications and participation in national and international conferences. The trend in her recent scholarly output reveals a consistent focus on gender-based violence in both physical and digital environments. Her articles analyze youth perceptions of cyberaggression, the role of bystanders in intimate partner violence, and methodological advancements in measuring supportive attitudes toward violence. The interdisciplinary nature of her work spans psychology, sociology, gender studies, and digital humanities, often informed by empirical data from Spanish populations. Scientific Awards: No specific awards listed in the provided text. She has been involved in multiple research projects funded by national and international institutions, including the Ministry of Science, Innovation and Universities, FECYT, Ministerio de Economía y Competitividad, Fundación BBVA, and Instituto de la Mujer. These projects cover themes such as critical thinking development in education, citizen involvement in violence prevention, and intervention programs for abusers. She also advises and supervises master’s theses and final degree projects, particularly in gender-focused postgraduate programs. Dr. Ferreiro Basurto is a member of the Gender Studies Research Group (ESTUDEGE) at UIB, a consolidated R&D&I group dedicated to advancing interdisciplinary research on gender, violence, and digital society. Her collaborative work involves designing and evaluating gender-sensitive educational and intervention programs.