Daniel Messinger – Page 3 – Frost Institute for Data Science & Computing

News

Objectively Measured Teacher and Preschooler Vocalizations: Phonemic Diversity is…

Over half of US children are enrolled in preschools, where the quantity and quality of language input from teachers are likely to affect children’s language development. Leveraging repeated objective measurements, we examined the rate per minute and phonemic diversity of child and teacher speech-related vocalizations in preschool classrooms and their association with children’s end-of-year receptive and expressive language abilities measured with the Preschool Language Scales (PLS-5). Read more “Objectively Measured Teacher and Preschooler Vocalizations: Phonemic Diversity is Associated with Language Abilities” →

Publications

Vaccinating Teachers and Cutting Class Sizes in Half Could…

Vaccinating teachers and cutting class sizes in half would go a long way toward curbing the spread of COVID-19 in schools, according to a new study from the University of Miami. The study, which has been submitted for publication and is not yet peer-reviewed, lends further support to policies like vaccine requirements and physical distancing in schools. Read more “Vaccinating Teachers and Cutting Class Sizes in Half Could Help Curb COVID Spread” →

Publications

Psychologists: Masks Do Not Impede Preschoolers’ Language Development

A team of psychology researchers observed that young children produce the same amount of language whether or not they are wearing masks. Another finding showed that kids produce more complex speech sounds while wearing masks than without them. Read more “Psychologists: Masks Do Not Impede Preschoolers’ Language Development” →

Publications

Objectively Measured Interactions of Preschoolers With and Without Autism

This study objectively measured associations between children’s peer vocal interactions and assessed language abilities in inclusion classrooms for children with autism spectrum disorder (ASD) and their peers. All children benefited from peers talking to them, but children with ASD were less central to classroom speech networks than were typically developing children. Read more “Objectively Measured Interactions of Preschoolers With and Without Autism” →

Publications

Continuous Measurement of Attachment Behavior: A Multimodal View of…

Infant attachment is a critical indicator of healthy infant social-emotional functioning, which is typically measured using the gold-standard Strange Situation Procedure (SSP). However, expert-based attachment classifications from the SSP are time-intensive (with respect both to expert training and rating), and do not provide an objective, continuous record of infant behavior. Read more “Continuous Measurement of Attachment Behavior: A Multimodal View of the Strange Situation Procedure” →

Meet a Data Scientist-Daniel Messinger

The Meet a Data Scientist series is a chance to get up close and personal with top-level experts in a wide variety of fields that use data science. The purpose of this series is to introduce our audience to the people behind the data, their lives, interests, career choices, their work, and their passion for how they can use data to solve grand challenges in their respective fields. Join us as we peer behind the curtain and meet the data scientists behind the data! Read more “Meet a Data Scientist-Daniel Messinger” →

Events

Meet a Data Scientist-Daniel Messinger 4/22

Continuing our “Meet a Data Scientist” series, join us on Thursday, April 22, 2021 (3:30-4:30 PM), for a discussion with interdisciplinary developmental psychologist and IDSC Director of Social Systems Informatics Dr. Daniel Messinger offering a glimpse of how he uses data in his research. Read more “Meet a Data Scientist-Daniel Messinger 4/22” →

Publications

Audio-Based Group Detection for Classroom Dynamics Analysis

A keynote speaker at the ICDM 2019 TMDM Workshop (Translational Multimedia Data Mining for AI-Based Medical Diagnostics—Bridging Digital Intelligence with Clinical Practices), Dr. Daniel Messinger also presented two papers on Friday, November 8, 2020. Read more “Audio-Based Group Detection for Classroom Dynamics Analysis” →

Publications

Deep Learning Based Multimedia Data Mining for Autism Spectrum…

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication and restricted and repetitive patterns of behavior. Autism is estimated to affect 1 in 59 children in the United States and costs roughly $35 billion dollars to the society. Read more “Deep Learning Based Multimedia Data Mining for Autism Spectrum Disorder (ASD) Diagnosis” →

Publications

A Person- and Time-Varying Vector Autoregressive Model to Capture…

Head movement is an important but often overlooked component of emotion and social interaction. Examination of regularity and differences in head movements of infant-mother dyads over time and across dyads can shed light on whether and how mothers and infants alter their dynamics over the course of an interaction to adapt to each others. Read more “A Person- and Time-Varying Vector Autoregressive Model to Capture Interactive Infant-Mother Head Movement Dynamics” →

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