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The Community-Engaged Lab: A Case-Study Introduction for Developmental Science.

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Summary
This summary is machine-generated.

Developmental labs can adapt to disruptions like the pandemic by adopting a community-engaged model. This approach reframes lab activities as community outreach, fostering partnerships and maintaining research diversity.

Keywords:
COVID-19broader impactscitizen sciencecommunity engagementonline developmental scienceresearch-community partnerships

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Area of Science:

  • Developmental Psychology
  • Community Psychology
  • Research Methodology

Background:

  • The COVID-19 pandemic disrupted traditional research methods, limiting access to public spaces for recruitment and dissemination in developmental labs.
  • Developmental research labs often rely on local communities for human participants, making them vulnerable to public health-related closures.

Purpose of the Study:

  • To present a community-engaged lab model as a viable alternative for developmental research during public health crises.
  • To demonstrate how reframing a lab as a community organization can facilitate virtual operations and maintain research integrity.

Main Methods:

  • The study introduces a community-engaged lab model, drawing parallels with mission-driven community organizations.
  • It contrasts this model with traditional bidirectional recruitment and dissemination approaches.
  • The paper uses the authors' lab activities during the COVID-19 pandemic as a case study.

Main Results:

  • The community-engaged model facilitated the formation of new community partnerships and virtual programming.
  • Child "citizen-scientists" were engaged in online research activities.
  • The approach led to a return to pre-pandemic sample diversity and new engagement opportunities for trainees.

Conclusions:

  • The community-engaged lab model offers a sustainable framework for developmental research, enhancing community integration and adaptability.
  • This model shows promise for overcoming limitations posed by external disruptions and fostering inclusive research practices.
  • Further exploration of the model's long-term impact and scalability is warranted.