Abstract

We propose that developmental cognitive science should invest in an online CRADLE, a Collaboration for Reproducible and Distributed Large-Scale Experiments that crowdsources data from families participating on the internet. Here, we discuss how the field can work together to further expand and unify current prototypes for the benefit of researchers, science, and society.

Highlights

  • We propose that developmental cognitive science should invest in an online CRADLE, a Collaboration for Reproducible and Distributed Large-Scale Experiments that crowdsources data from families participating on the internet

  • Paralleling previous moves to online research in other areas of cognitive science, researchers are using the internet in multiple ways to support developmental science

  • Large data sets will be crucial to support neighboring disciplines that build on insights from developmental science, including early childhood education, the study of developmental disorders and interventions, and computational models of typical cognitive development, including artificial intelligence (AI) research, which is increasingly interested in reverseengineering the ways in which infants and young children learn and think to build more human-like machine intelligence that can live better in our human world

Read more

Summary

Introduction

We propose that developmental cognitive science should invest in an online CRADLE, a Collaboration for Reproducible and Distributed Large-Scale Experiments that crowdsources data from families participating on the internet. We propose a unified, discipline-wide, online Collaboration for Reproducible and Distributed Large-Scale Experiments (CRADLE).

Results
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.