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Award Abstract # 2222242
FW-HTF-R: The Future of Equitable Childcare Worker Technologies

NSF Org: IIS
Division of Information & Intelligent Systems
Recipient: UNIVERSITY OF WASHINGTON
Initial Amendment Date: September 12, 2022
Latest Amendment Date: September 12, 2022
Award Number: 2222242
Award Instrument: Standard Grant
Program Manager: Dan Cosley
dcosley@nsf.gov
 (703)292-8832
IIS
 Division of Information & Intelligent Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: January 1, 2023
End Date: December 31, 2025 (Estimated)
Total Intended Award Amount: $1,799,998.00
Total Awarded Amount to Date: $1,799,998.00
Funds Obligated to Date: FY 2022 = $1,799,998.00
History of Investigator:
  • Daniela Rosner (Principal Investigator)
    dkrosner@uw.edu
  • Julie Kientz (Co-Principal Investigator)
  • Franziska Roesner (Co-Principal Investigator)
  • Audrey Desjardins (Co-Principal Investigator)
  • Rachel Fyall (Co-Principal Investigator)
Recipient Sponsored Research Office: University of Washington
4333 BROOKLYN AVE NE
SEATTLE
WA  US  98195-1016
(206)543-4043
Sponsor Congressional District: 07
Primary Place of Performance: University of Washington
4333 Brooklyn Ave NE
Seattle
WA  US  98195-0001
Primary Place of Performance
Congressional District:
07
Unique Entity Identifier (UEI): HD1WMN6945W6
Parent UEI:
NSF Program(s): FW-HTF Futr Wrk Hum-Tech Frntr
Primary Program Source: 01002223DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 063Z
Program Element Code(s): 103Y00
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.041, 47.070

ABSTRACT

In-home childcare work is critical to society; millions of parents rely on childcare workers who either come to parents' homes, or who provide childcare service in their own homes. However, childcare workers face a number of challenges such as unsafe working environments and unclear expectations, poor access to training and social support, and low wages with minimal paid time off. These challenges may be exacerbated by technologies increasing used for in-home childcare, including cameras and other smart home technologies, and platforms that match workers and families (often for short-term "gig" employment). This project's goal is to better understand the risks and opportunities these technologies pose and to design new technologies that benefit childcare workers and services, parents and children, and society as a whole. The team will develop better understanding of risks posed by technologies currently used for in-home childcare: for instance, how existing hiring platforms and parents' decisions affect and perhaps bias hiring decisions, or how smart home technology may affect workers' privacy and autonomy. The team will also explore technologies that make better matches between workers and families, as well as technologies that improve in-home childcare workers' training and support networks. As a whole, this project works toward a future in which childcare work technology is consensually used and mutually beneficial for employees, children, and childcare workers.

The research is rooted in approaches to childcare work technology that prioritize safety, sustainability, and empowerment among workers and employees. To that end, the project's starts with sustained empirical research with childcare workers, families, childcare placement services, and companies that support individual workers' business needs. Through forums and directed research groups, the team will build a comprehensive understanding of the existing childcare ecosystem and sustained, supportive partnerships with these stakeholders. These findings and partnerships will undergird the phase, which focuses on the design and evaluation of new technologies to support stakeholders' needs. The team envisions technical advances that improve hiring, training, and working conditions. For hiring, the goal is to design platforms and algorithms that match workers with families to meet both parties' needs while avoiding risks around bias that hiring algorithms sometimes raise. For training, the team envisions using virtual reality and virtual agents to help workers prepare for difficult or rare childcare situations and conversations with other stakeholders. For working conditions, the goal is to develop systems that help workers connect with other workers for emotional support and well-being, informational support around both the work itself and the management of the worker's business, and organizational support toward empowering workers to improve their working conditions. The technology work will take a research through design approach in which both iterative design approaches and the evaluation will contribute to a more formal understanding of the landscape of technologies to support childcare work.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Ibrahim, Seray B and Antle, Alissa N and Kientz, Julie A and Pullin, Graham and Slovak, Petr "A Systematic Review of the Probes Method in Research with Children and Families" , 2024 https://doi.org/10.1145/3628516.3655814 Citation Details
Kaneko, Maya A and Lustig, Caitlin and Rosner, Daniela and Desjardins, Audrey "Care Layering: Complicating Design Patterns" , 2024 https://doi.org/10.1145/3643834.3660740 Citation Details
Kinnee, Brian and Desjardins, Audrey and Rosner, Daniela "Autospeculation: Reflecting on the Intimate and Imaginative Capacities of Data Analysis" CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems , 2023 https://doi.org/10.1145/3544548.3580902 Citation Details
Lustig, Caitlin and Kaneko, Maya A and Gupta, Meghna and Dattani, Kavita and Desjardins, Audrey and Rosner, Daniela "Porous by Design: How Childcare Platforms Impact Worker Personhood, Safety, and Connection" , 2024 https://doi.org/10.1145/3643834.3661552 Citation Details
Sim, Mattea and Hugenberg, Kurt and Kohno, Tadayoshi and Roesner, Franziska "A Scalable Inclusive Security Intervention to Center Marginalized & Vulnerable Populations in Security & Privacy Design" , 2023 https://doi.org/10.1145/3633500.3633508 Citation Details
Stephenson, Sophie and Page, Christopher Nathaniel and Wei, Miranda and Kapadia, Apu and Roesner, Franziska "Sharenting on TikTok: Exploring Parental Sharing Behaviors and the Discourse Around Childrens Online Privacy" , 2024 https://doi.org/10.1145/3613904.3642447 Citation Details

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