
NSF Org: |
IIS Division of Information & Intelligent Systems |
Recipient: |
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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: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
4333 BROOKLYN AVE NE SEATTLE WA US 98195-1016 (206)543-4043 |
Sponsor Congressional District: |
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Primary Place of Performance: |
4333 Brooklyn Ave NE Seattle WA US 98195-0001 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | FW-HTF Futr Wrk Hum-Tech Frntr |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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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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