This training grant is focused on human development, particularly as it relates to cognitive, social, perceptual, and motor development of infants and young children. Developmental outcome in all these areas is often multi-causal, the aggregate product of many nested processes operating over many time scales and interacting across many levels of analysis (from genes, to parent interaction, to the structure of language, to social groups). The goal of this training program is to train scientists who can conduct programmatic and innovative research that integrates levels of analysis and that connects basic science to translational research. The training program seeks supports for five pre-doctoral and three postdoctoral trainees who will be drawn from fields in psychology, neuroscience, cognitive science, vision science, and speech and hearing sciences. Trainees will be supported for 2 years by the training grant. The training program is organized around collaborations that cut across levels of analyses and disciplines while focusing on a single problem. The training program is designed to build expertise in multiple methods - genetic analyses, behavioral studies, imaging, computational and statistical analyses - to the benefit of a deeper understanding of a target phenomenon and to provide training that fosters success, professionalism, and ethical conduct in both research and mentoring - including experiences in grant writing, article writing and reviewing, human subject safeguards, and evidence-based approaches to treatment and intervention.

Public Health Relevance

This integrative approach to human development will provide new insights into abilities (or developmental delays) that build on themselves;provide new insights that enable early diagnosis of developmental disorders, and new methods of intervention. Particular developmental disorders relevant to the training program include behavioral control, language delay, autism spectrum disorders, sensory impairments, and developmental coordination disorders.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Institutional National Research Service Award (T32)
Project #
5T32HD007475-19
Application #
8458932
Study Section
Pediatrics Subcommittee (CHHD)
Program Officer
Mann Koepke, Kathy M
Project Start
1995-07-01
Project End
2015-04-30
Budget Start
2013-05-01
Budget End
2014-04-30
Support Year
19
Fiscal Year
2013
Total Cost
$379,236
Indirect Cost
$22,694
Name
Indiana University Bloomington
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
006046700
City
Bloomington
State
IN
Country
United States
Zip Code
47401
Smith, Linda B; Jayaraman, Swapnaa; Clerkin, Elizabeth et al. (2018) The Developing Infant Creates a Curriculum for Statistical Learning. Trends Cogn Sci 22:325-336
Borjon, Jeremy I; Schroer, Sara E; Bambach, Sven et al. (2018) A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras. J Vis Exp :
Slone, Lauren K; Moore, David S; Johnson, Scott P (2018) Object exploration facilitates 4-month-olds' mental rotation performance. PLoS One 13:e0200468
Byrge, Lisa; Kennedy, Daniel P (2018) Identifying and characterizing systematic temporally-lagged BOLD artifacts. Neuroimage 171:376-392
Carvalho, Paulo F; Vales, Catarina; Fausey, Caitlin M et al. (2018) Novel names extend for how long preschool children sample visual information. J Exp Child Psychol 168:1-18
Slone, Lauren K; Johnson, Scott P (2018) When learning goes beyond statistics: Infants represent visual sequences in terms of chunks. Cognition 178:92-102
Montag, Jessica L; Jones, Michael N; Smith, Linda B (2018) Quantity and Diversity: Simulating Early Word Learning Environments. Cogn Sci 42 Suppl 2:375-412
Benitez, Viridiana L; Vales, Catarina; Hanania, Rima et al. (2017) Sustained selective attention predicts flexible switching in preschoolers. J Exp Child Psychol 156:29-42
Smith, Linda B; Slone, Lauren K (2017) A Developmental Approach to Machine Learning? Front Psychol 8:2124
Clerkin, Elizabeth M; Hart, Elizabeth; Rehg, James M et al. (2017) Real-world visual statistics and infants' first-learned object names. Philos Trans R Soc Lond B Biol Sci 372:

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