HESA Information Sessions will provide prospective students with insights and information about what it is like to be a HESA student from current HESA students, program faculty, and assistantship supervisors. We will address questions about the application process, the academic experience of the HESA program, assistantship experiences, and the social life and culture of HESA and UConn. These info sessions are a helpful window into the HESA experience, and an opportunity to become familiar with our HESA community.

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Strategies to Address Structural Barriers to Economic Inclusion and Well-being Among Families Experiencing Poverty in the United States

Over the past quarter century, significant strides have been made in reducing child poverty, largely due to increased investments in the social safety net for children. Our nation has learned a lot about what works to reduce child poverty. However, significant challenges to sustaining and continuing this progress remain. In particular, stark disparities in child poverty among racial and ethnic lines, for children in immigrant families, and by family structure persist. In addition, the focus of support has shifted towards working families near or above the poverty line, inadvertently leaving behind children and families experiencing deep poverty.

Dr. Thomson will share findings across multiple projects designed to better understand the structural barriers to economic inclusion and wellbeing for families of color, immigrant families, and those experiencing deep poverty. She will highlight policy levers and programmatic strategies that show promise for addressing those barriers, promoting economic inclusion, and improving wellbeing for all children and families.

Sponsored by the Department of Human Development & Family Sciences, with generous support from the Luckey family.

If you require an accommodation to participate in this event, please contact the Department of Human Development and Family Sciences at 860.486.4049 or cynthia.stewart@uconn.edu by Wednesday, October 2^nd.