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Lino von KlipsteinView profile

Researcher

• Mental Health
• Healthcare
• Experience Sampling
• +5 more

Lino von Klipstein is a researcher at the University of Groningen specializing in experience sampling methods (ESM) for mental health care innovation. His work bridges clinical psychology and digital health technology, focusing on personalized interventions for depression and mood disorders through real-time patient data collection. He completed his PhD in 2024 with the thesis The experience sampling method in mental health care: integrating research and practice , establishing his expertise in translating ESM research into clinical applications. His research interests include Mental Health, Experience Sampling, Depression, Digital Mental Health, and Clinical Psychology, with emphasis on contextual factors in symptom manifestation and therapeutic feedback systems. Analysis of his publications reveals a clear trajectory toward clinical implementation of ESM: from foundational methods (2022 PETRA application development) to addressing measurement challenges (2023 floor effects study), then advancing personalized therapy integration (2023 Therap-i module) and contextual analysis (2025 black box study). His work consistently emphasizes user-centered design and real-world clinical utility. Von Klipstein actively collaborates with Harriëtte Riese's research group at the University of Groningen, contributing to projects like PETRA and Therap-i. He presents at major conferences including the Society for Ambulatory Assessment Annual Conference (2023 session organizer) and Winter Consortium Meeting (2023 contributor), demonstrating leadership in the ESM research community.

Stefan StiegerView profile

Professor

• Psychological Methodology
• Psychoinformatics
• Psychometrics
• +16 more

Stefan Stieger is a Professor and Head of the Department of Psychological Methodology at the Karl Landsteiner Private University of Health Sciences. He leads an interdisciplinary research team focused on advancing psychological methodology through the integration of technology, statistics, and software development. His work bridges psychology and informatics, particularly in the emerging field of psychoinformatics. His research interests include psychometrics, individual differences, self-esteem, personality (e.g., Big Five, Dark Triad), life satisfaction, and digital well-being. He emphasizes methodological innovation, particularly through Experience Sampling Methods (ESM) and the development of open-source tools like ESMira, which enables real-time data collection in natural environments. His work often involves large-scale, cross-cultural studies and replication research to ensure robust psychological science. Recent publications highlight trends in replication studies, cross-cultural invariance of psychological scales, mood and energy dynamics, social perception, and the role of technology in behavioral research. His articles frequently appear in high-impact journals and address both foundational methodological questions and applied topics such as mental health in crisis regions. Stefan Stieger is actively involved in funded research projects, including studies on CO₂ and cognitive performance, app-based workplace health interventions, demographic diversity in groups, sexual activity frequency, and peer support for diabetes management. He collaborates extensively with international researchers and institutions. He advises and mentors students and junior researchers, though specific names are not listed. His team develops software solutions for the scientific community, promoting open science and reproducibility.

Henriette ArndtView profile

Researcher

• Informal Second Language Learning
• Applied Linguistics
• Language Acquisition
• +4 more

Henriette Arndt is a Postdoctoral Researcher in General Linguistics at Lund University's Centre for Languages and Literature, part of the Joint Faculties of Humanities and Theology. She is affiliated with the research platform LAMiNATE (Language Acquisition, Multilingualism, and Teaching) and the university's Natural and Artificial Cognition profile area. Her academic background includes a DPhil in Education and MSc in Applied Linguistics from the University of Oxford. Dr. Arndt's research focuses on informal second language learning in everyday contexts, with strong methodological components in research design and statistical analysis. Her work examines language acquisition beyond classroom settings, emphasizing technological innovations like the Lang-Track-App smartphone tool for studying language exposure patterns. Key research areas include: Experience Sampling Method (ESM) applications in linguistics Questionnaire development for measuring engagement Migrant language acquisition in naturalistic settings Validation of research instruments in applied linguistics Her publication portfolio shows consistent focus on methodological innovation in language acquisition research, particularly through technology-enhanced data collection and analysis of informal learning contexts. Recent articles demonstrate specialization in developing and validating research tools like the Lang-Track-App and engagement questionnaires. Honors: Nova 111 List 2022: Public Service, Research & Education Current Projects: Dr. Arndt leads several research initiatives including: Validating the Experience Sampling Method for Swedish migrant language learning Foreign language anxiety in different learning contexts LANG-TRACK-APP development for studying language exposure TEAM: Transdisciplinary Approaches to Learning, Acquisition, Multilingualism She currently supervises PhD candidate O. M. Krstic and collaborates with international research teams across Europe.

Johanna SchwarzView profile

Associate Professor

• Sleep Science
• Stress and Recovery
• Cognitive Neuroscience
• +5 more

Johanna Schwarz is an Associate Professor at Stockholm University's Department of Psychology, specializing in sleep science and stress-related recovery mechanisms. Her research focuses on sleep's role in emotional regulation, cognitive performance, and aging through experimental and population-based studies. Stockholm University, Department of Psychology Division for Sleep and Alertness Research Research interests center on sleep's interaction with stress load, emotional processing, and cognitive function across adult lifespan. Key methodologies include: Magnetoencephalography (MEG) for neurophysiological measurements Polysomnography in real-life contexts Experience sampling method (ESM) for longitudinal tracking fMRI and EMG for brain-behavior relationships Recent publications examine age-related differences in sleep deprivation impacts, subjective sleep quality interpretation, and emotional regulation neuroimaging. While specific awards aren't detailed in current data, her collaborative studies with Stress Research Institute demonstrate significant contributions to sleep neuroscience. Key research trends show cross-disciplinary integration of: Cognitive neuroscience with gerontology Clinical sleep medicine with epidemiology Neuroimaging with behavioral economics Population health with neurophysiological biomarkers Stress response modeling with affective regulation Subjective sleep experience with objective measurement

Jennifer A. SchmidtView profile

Professor

• Educational Psychology
• Adolescent Development
• STEM Education
• +3 more

Jennifer A. Schmidt is a Professor in the Department of Counseling, Educational Psychology and Special Education at Michigan State University’s College of Education. She holds a Ph.D. from the University of Chicago and focuses on adolescent motivation and engagement in science learning environments, using the Experience Sampling Method (ESM) to study subjective experiences. Her work bridges motivational psychology, adolescent development, and educational intervention design. Her research examines how classroom environments and teacher practices influence students’ emotional and motivational experiences in middle/high school science. Current projects include modifying students’ STEM perceptions through interventions and identifying features of effective learning environments. She collaborates on initiatives like the M-PLANS program to equip teachers with strategies for fostering student motivation under NGSS standards. Recent publications emphasize situational engagement, emotional costs in learning, and the interplay between control-value beliefs and STEM interest. While no awards are explicitly mentioned, her contributions to educational psychology and science pedagogy are highlighted through her extensive publication record and collaborative projects. Dr. Schmidt’s work intersects with multiple initiatives within the College of Education, though specific labs/teams are not detailed in the provided texts. Her research often addresses equity in STEM engagement, particularly for underrepresented groups, and emphasizes practical classroom applications.

Wouter van BallegooijenView profile

Assistant Professor

• Clinical Psychology
• Mental Health Interventions
• Meta-Analysis
• +7 more

Wouter van Ballegooijen is an Assistant Professor at the Clinical Psychology Department within the Faculty of Behavioural and Movement Sciences at Vrije Universiteit Amsterdam. He holds an ancillary position as a Medewerker at Amsterdam UMC and serves as an Editor for Frontiers (Lausanne) since 2021. His research focuses on evidence-based mental health interventions, meta-analytic methods, suicide prevention, and digital mental health technologies, contributing to UN Sustainable Development Goals related to health and well-being. Education & Research Interests : His work centers on synthesizing global psychotherapy outcomes, evaluating digital interventions (e.g., JITAI), and addressing suicide risk in clinical populations. Key methodologies include meta-analyses, ecological momentary assessment (EMA), and implementation science frameworks. Recent Research Trends : His 2025 studies highlight global psychotherapy effectiveness, cognitive behavioral therapy efficacy, and the feasibility of digital health strategies. Earlier work validated online mental health tools and tested internet-based therapies for depression and anxiety. Grants & Projects : He contributed to the European-COMPAR project (2014-2017) on online depression interventions. Current projects include optimizing digital mental health implementations and assessing suicide prevention strategies via smartphone apps. Labs/Teams : Collaborates with interdisciplinary teams in e-mental health, including work on the CASPAR study for continuous suicide monitoring and the SPIN network for rare disease interventions.

Liam MaloneyView profile

Lecturer

• Music Production and History
• Dance & Electronic Music Sociomusicology
• Sound and Listening Studies
• +2 more

Dr. Liam Maloney is a Lecturer at the School of Arts and Creative Technologies , University of York , where he teaches Music & Sound Recording and Dance Music Cultures . His academic journey includes a BA Hons in Sound Technology from Liverpool Institute of Performing Arts (2007), an MSc in Music & Creative Industries Management from University of Bolton (2011) with a dissertation on digital taste dissemination, and a PhD in Music from University of York (2020) titled Music Like Water , examining music functions through ESM studies. He received the Vice-Chancellor’s award for outstanding academic achievement (2011) and a Humanities Research Doctoral Fellowship (2018). Education BA Hons Sound Technology (LIPA, 2007) MSc Music & Creative Industries Management (University of Bolton, 2011) PhD Music (University of York, 2020) Liam’s research spans five domains: (1) Music Production and History , focusing on studios as instruments and electronic music production; (2) Dance & Electronic Music Sociomusicology , analyzing race, gender, and LGBTQ+ history in music; (3) Sound and Listening Studies , tracing recording technologies’ evolution; (4) Music in Everyday Life , investigating utilitarian music functions; and (5) Qualitative and Mixed Methods , including ethnography and bibliometrics. He co-leads the Dance Music Cultures Research Group and maintains the Foundations of House project. His recent work includes studies on music and AI ethics (2021-2022), vinyl collecting (2024-2026), and music’s role in pandemic isolation (2021). He collaborates with institutions like the Digital Creativity Labs and Routledge press. Scientific Awards Vice-Chancellor’s award for outstanding academic achievement (2011) Humanities Research Doctoral Fellowship (2018) Liam’s research is funded by the MCEC project (2020-2021) with Dr. H. Egermann, and he supervises PhD proposals in his expertise areas. He works closely with Digital Creativity Labs and has presented at venues like the Royal Institution and Bridgewater Hall .

• Dynamic Modeling
• Bayesian Statistics
• Multilevel Analysis
• +5 more

Dr. Noémi Schuurman is an Assistant Professor in the Department of Methodology and Statistics at Utrecht University's Faculty of Social Sciences. Specializing in Bayesian multilevel time series analysis and intensive longitudinal data, she leads the Dynamic Modeling Lab under Ellen Hamaker's supervision. Her work bridges psychological theory with advanced statistical techniques, particularly through N=1 modeling and person-specific reliability estimation. Co-founder of dynamic VAR networks in psychology Developer of methods implemented in Mplus software Supervisor of four PhD candidates in longitudinal data analysis Her research focuses on: Measurement error in intensive longitudinal studies Statistical standardization techniques Time series analysis for psychological dynamics Bayesian estimation frameworks Person-specific reliability modeling Recent publications address reliability estimation, night gap challenges in ESM data, and multi-timescale modeling. She actively contributes to methodological training through: Utrecht's summer school programs Workshops on R and Mplus Development of e-learning courses Mentorship for early-career researchers

• Adolescent Psychology
• Psychopathology
• Social Behavior
• +3 more

Dr. Robin Achterhof is an Assistant Professor at the Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam. His research focuses on understanding the daily social lives of youth, particularly how social interactions, adversity, and identity development influence psychopathology such as anxiety, depression, and psychosis. He employs experience sampling methodologies and longitudinal studies to examine these processes. Key projects include the SIGMA cohort study, which investigates environmental and interpersonal factors affecting mental health in adolescents. His work explores topics like pandemic impacts on youth behavior, social isolation in psychosis, and the role of parenting in daily social experiences. He has published extensively on topics such as self-harm, threat anticipation, and the temporal dynamics of mental health in diverse adolescent populations. Research Themes: Adolescent psychopathology, social interactions, childhood adversity, pandemic mental health, identity development. Methodologies: Experience Sampling Method (ESM), longitudinal cohort studies, network analysis. Dr. Achterhof’s research emphasizes the importance of social processes in mental health, bridging ecological and experimental approaches. His contributions include insights into how daily social experiences mediate the effects of adverse childhood events and how digital environments influence youth mental well-being.

• Psychology
• Mental Health
• Biofeedback
• +4 more

Hanneke Scholten is an Assistant Professor at Erasmus MC, specializing in Child and Adolescent Psychiatry / Psychology. Her research focuses on innovative methods for mental health assessment and intervention, particularly through digital tools like the Experience Sampling Method (ESM) and virtual reality (VR) biofeedback systems. Research Interests: Pioneering applications of Single-Case Experimental Design in mental health Development of biofeedback interventions for emotional regulation Integration of virtual reality technology in psychiatric treatment Stress management techniques for forensic psychiatric populations Adolescent well-being and compliance with digital health tools Publication Trends: Recent work demonstrates expertise in mixed-methods approaches, leveraging ESM for compliance analysis and VR-based DEEP biofeedback to address stress and anger in specialized settings. Keywords across her research include Psychology, Biofeedback, Virtual Reality, and Forensic Psychiatry.

Jana NikitinView profile

Professor

• Social Psychology
• Developmental Psychology
• Aging and Well-being
• +4 more

Prof. Jana Nikitin is affiliated with the Department of Developmental and Educational Psychology at the Faculty of Psychology. Her research focuses on social withdrawal, loneliness, subjective well-being, and social interaction dynamics across the lifespan. She has published extensively (45+ articles from 2008–2024), with recent work exploring technology in behavioral research (e.g., ESM-Quest app), social identity threat in academic contexts, and aging-related themes like longevity preferences and intergenerational communication. Her studies often employ cross-cultural and longitudinal designs, addressing topics such as life events during the pandemic, immigrant students' integration, and the role of nature exposure in generativity. She has contributed to conferences via talks and poster presentations, including discussions on significant life events and automated speech emotion recognition. Key research areas include social motivation, age stereotypes, and the psychological impacts of societal changes. Her work bridges developmental, social, and health psychology, with a focus on applied interventions to combat loneliness and enhance well-being. Despite no explicit awards listed, her high citation count (e.g., 24 for her 2023 journal article) underscores her scholarly impact. She collaborates internationally on projects related to aging, migration, and educational psychology.

Thomas VaessenView profile

Assistant Professor

• Stress and Stress Recovery
• Psychopathology
• Emotion Regulation
• +6 more

Thomas Vaessen is an Assistant Professor at KU Leuven, specializing in the interplay between stress, stress recovery, and psychopathology. His research employs innovative methodologies such as experience sampling, passive monitoring, and experimental lab tasks to investigate mechanisms underlying mental health disorders. He focuses on developing early interventions targeting coping behaviors in stressful contexts, with particular attention to populations such as individuals with early psychosis, alcohol use disorder, and subclinical anxiety. Research Interests: Stress resilience and recovery dynamics Emotion regulation in clinical populations Ecological momentary interventions (EMI) Cardiovascular and psychophysiological correlates of stress Longitudinal stress-reactivity patterns Technology-enabled mental health monitoring His recent work explores how momentary stress responses predict clinical outcomes in psychosis (e.g., ACT-DL trials) and examines bidirectional stress-emotion relationships in daily life. Vaessen’s studies frequently utilize multi-method approaches combining wearable sensors, smartphone-based ESM, and neuroimaging data. Key collaborations involve institutions like the University Medical Center Utrecht, Maastricht University, and international psychosis research networks. His contributions advance both theoretical understanding of stress-related psychopathology and practical applications in digital mental health interventions.

Harriëtte RieseView profile

Associate Professor

• Mood Disorders
• Experience Sampling Method (ESM)
• Ambulatory Momentary Assessments (EMA)
• +7 more

Dr. Harriëtte Riese is an Associate Professor at the University of Groningen's Faculty of Medical Sciences, affiliated with the Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE). She directs the iLab group, focusing on bridging scientific research and clinical practice through personalized digital tools like the Experience Sampling Method (ESM). Her work emphasizes ambulatory psychological monitoring, mental health interventions, and translational research. Education: MSc in Experimental Psychology (University of Groningen, 1994), PhD in Biological Psychology (Vrije Universiteit Amsterdam, 2000) Roles: Director of iLab, Co-PI of PRoSPECT and PETRA studies, board member of NESDA and Belgian-Netherlands ESM Network Research interests include mood disorders, ambulatory assessment, and psychophysiological mechanisms. She leads projects integrating ESM into clinical care (e.g., Therap-i, PETRA) and has coordinated large-scale studies like NESDA and TRANS-ID. Her work aims to improve personalized mental health treatment through real-time data. She has supervised over 10 PhD students, focusing on topics like ESM feedback, circadian rhythms, and computational psychiatry. Collaborates with institutions like GGZ-Drenthe and the Netherlands Twin Register.

Evelien SnippeView profile

Researcher

• Psychology
• Clinical Psychiatry
• Developmental Psychology
• +12 more

Dr. Evelien Snippe is a postdoctoral researcher at the University of Groningen within the Department of Developmental Psychology , focusing on the daily dynamics of depression, stress conceptualization, and early warning signals in psychopathology. She specializes in Experience Sampling Method (ESM) and Time-Series Analysis techniques like statistical process control. Research Interests : Her work explores depression recurrence, emotional instability, personalized psychological networks, and stress measurement in daily life. She investigates mood instability in bipolar disorder using intensive longitudinal data and contributes to methodological advancements in ESM implementation. Key Publications : Her recent studies include real-time depression forecasting, suicide risk analysis via daily diaries, and critical evaluations of early warning signals in psychopathology. Collaborations span projects like How Nuts Are The Dutch and datasets on subjective wellbeing. Activities : She participated in the SiA Symposium on Stress Definitions and contributed to public engagement through media commentary on depression treatment dynamics and mental health trends.

• Mental Health Research
• Psychiatry
• Clinical Psychology
• +12 more

Inez Germeys is a full professor at KU Leuven, holding a position within the Department of Neuroscience in the Faculty of Medicine. She serves as head of the Contextual Psychiatry research group and is affiliated with both the KU Leuven Brain Institute (LBI) and the KU Leuven Institute for Child and Youth (LC&Y). Her institutional roles include membership on the Faculty Council of Medicine and the Departmental Council of Neurosciences as a ZAP representative. Professor Germeys' research focuses on innovative approaches to understanding mental health through real-time assessment methods. Her primary areas of investigation include: Experience Sampling Methodology (ESM) and Ecological Momentary Assessment Psychosis and early intervention strategies Digital mental health interventions, particularly Just-in-Time Adaptive Interventions (JITAIs) Emotion regulation processes in daily life Social context and its impact on mental health symptoms Gene-environment interactions in mental disorders Her work represents a cutting-edge integration of traditional psychiatric research with digital innovation, emphasizing the importance of capturing mental health phenomena in naturalistic settings rather than solely in laboratory contexts. This approach allows for more ecologically valid understanding of symptom dynamics and treatment mechanisms. Analysis of Professor Germeys' recent publications reveals a strong emphasis on methodological innovation in mental health research, particularly in refining experience sampling techniques and applying them to understand emotion regulation, psychosis, and adolescent mental health. A significant portion of her work focuses on developing and validating digital tools for real-time assessment and intervention in mental healthcare settings. Her research increasingly incorporates physiological measures alongside subjective experience to create more comprehensive models of mental health processes. Professor Germeys currently leads multiple major research projects including: 'Minder is meer: Twee innovatieve benaderingen voor het verkorten van Experience Sampling vragenlijsten voor Just-in-Time Adaptive Interventions' (2024-2027) 'Naar de wetenschappelijke basis voor Just-In-Time Adaptive Interventions (JITAI's) voor geestelijke gezondheidsproblemen' (2023-2029) 'Wat zijn risico-momenten: de dynamiek van affectief herstel van stress en sociale interactie in het dagelijks leven' (2023-2027) She supervises doctoral students including Z. Akcaoglu and A. Lachowicz, whose work focuses on social processes in psychosis development and affective recovery from stress, respectively. Her research group actively collaborates with international consortia and has received substantial funding for developing innovative approaches to mental healthcare delivery. Professor Germeys leads the Contextual Psychiatry research group, which specializes in understanding mental health phenomena within their natural contexts using ambulatory assessment methods. The group works at the intersection of clinical psychology, psychiatry, and digital health innovation, with particular expertise in experience sampling methodology and its clinical applications.