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*New* CFPR Seminar Series: Trade-offs between Income, Time and Childbearing (03/12/26)

We field a seven-country survey of respondents aged 20–49 to examine how adults value income and time trade-offs when deciding whether to have a child. Respondents evaluate profiles with hypothetical couples considering either a first or a second birth, forcing trade-offs across domains. We examine whether the size of the motherhood penalty affects childbearing preferences, whether income is more salient for first versus second births, and how these effects vary by women’s age. Results should illuminate which factors most strongly shape childbearing decisions and inform policymakers about designing income transfers and regulating time constraints.
Alicia Adserà is a Senior Research Scholar and Lecturer in Economics at the Princeton School of Public and International and faculty associate at the Office of Population Research (Princeton University). Her research interests are in economic demography, development, and international political economy. Her work focuses on the interplay between labor markets and fertility and on an array of migration topics. Two current projects involve multi-country data collection to analyze fertility preferences and choices, as well as the relative importance of different dimensions of successful aging. Before joining Princeton, she was an Associate Professor at the University of Illinois at Chicago, and a Research Affiliate at the University of Chicago’s Population Research Center. She holds a PhD in Economics from Boston University.

Berney and Co-Authors Research the Benefits of Streateries in Seattle’s University District

CSDE Affiliate Rachel Berney (Urban Design & Planning) and co-authors published the results of a study of right-of-way adaptations in Seattle’s University District that supported urban resilience during the pandemic in the Journal of the American Planning Association. In response to COVID-19, cities permitted streateries (street eateries), which enabled restaurants to operate despite restrictions on indoor uses, and many persisted after the lifting of COVID-19 restrictions. Berney and co-authors modified and supplemented Seattle’s (WA) Public Life Study protocol to observe and analyze streatery and sidewalk use.  Besides supporting business continuity in a major disruption, streateries and parklets increased low intensity social interactions, chance encounters, and diversity of activities in the ROW, outcomes that correlate with increased social resilience. As a result of this study, Seattle adopted chance encounters as a standard metric in its protocol.

CSSS Seminar: Kush Varshney on “Individual and Collective Human Agency in the Face of ‘AI’” (03/04/26)

Please join us for our next speaker in the Center for Statistics and the Social Sciences Seminar Series. Wednesday March 4th at 12:30pm, Kush Varshney, Research Scientist, IBM will give a seminar titled:

Individual and Collective Human Agency in the Face of ‘AI’

This seminar will be offered as a hybrid session. Below please find the abstract and information about joining in-person or on Zoom.

As AI systems increasingly shape our personal, professional, and societal lives, the question is not only what machines can do, but who controls the values and outcomes they produce. This talk examines both individual agency — the capacity to think, judge, and act — and collective agency, where communities define norms, resist imposed standards, and guide AI deployment. Drawing on research in trustworthy AI, decolonial alignment, and human–AI collaboration, I will explore technical and governance approaches that preserve human autonomy, including transparency tools, scoped alignment methods, and collaborative task structures. I will introduce AI platform cooperatives as a counterweight to tech‑company dominance, fostering community ownership, shared governance, and technological self-determination. Ultimately, AI should be a tool that empowers humans, singly and together.

LOCATION: 409 Savery Hall or  Zoom Link & Meeting ID: 916 1200 4486

Questions?
csss@uw.edu
https://csss.uw.edu/