[PBS Alumni Council ENGAGE Colloquium] Latinx Health Paradoxes, Resilience, and the Pursuit of Health Equity
Despite disproportionate risk, Hispanics/Latinx populations generally experience better health and live longer than non-Hispanics (NH) including NHWs: an epidemiological phenomenon known as the Hispanic or Latino health paradox. Over the past decade, our work has helped to raise the profile of comparative Hispanic health and contributed to a significant change its characterization from disparity to paradoxical advantage. The CDC now reports a longevity advantage for Hispanics v. NH Whites as 3.3 years and rising.
[CPCN Seminar] A Conversation wit Kai-Fu Lee (CRML Distinguished Lecture Series)
The Center for Responsible Machine Learning invites you to AI and Our
Future: A Conversation with Kai-Fu Lee <https://ml.ucsb.edu/kai-fu-lee>,
part of our Distinguished Lecture Series. Please register here
<https://ucsb.zoom.us/webinar/register/WN_h3djTe6PSPGPi2dfcAbcPg>.
WEDNESDAY, NOVEMBER 17, 2021
4:00 PM PT
WEBINAR REGISTRATION
N&B Seminar: Dr. Karen Szumlinski
Neural Substrates of Motivation for Methamphetamine
[PBS Colloquium Series] Black Americans’ Healthcare Experiences: Understanding the Past and Present to Envision a More Equitable Future
Abstract: The COVID-19 pandemic spotlighted Black Americans' dire and disproportionately negative health outcomes and healthcare experiences. This spotlight also incited public discourse about the lack of medical trust in the Black community. Importantly, these experiences and outcomes for Black Americans began long before the COVID-19 pandemic.
Open Science, Reproducibility, and Replicability
This is a reminder that we strongly encourage you to attend SPAM in person.
However, we understand that occasionally you won't be able to make it. I
will project my audio and slides over zoom today for those of you who won't
be able to attend in person today. That said, please attend in person if
you are able to do so. Here's the link:
https://ucsb.zoom.us/j/87396119642?pwd=aTNXeDRvZEIwbG1UK0drbkx5RFdIQT09
[SOC Seminar] Simplicity in Social Learning
We all want to spend time with people we value and who value us in return. How do we learn who these individuals are? One route is through complex planning: we can predict others’ behavior by inferring their preferences (e.g., how much they value us) or consulting a mental map that lets us generalize past experiences (e.g., inferring a mentor will offer knowledge based on our experience with prior mentors). But complex planning is effortful, and people tend to avoid mental effort. In this talk, I will highlight how simpler reward learning also guides social interactions.
