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DTSTART;TZID=America/Los_Angeles:20221005T161500
DTEND;TZID=America/Los_Angeles:20221005T173000
DTSTAMP:20260418T060727
CREATED:20220824T231222Z
LAST-MODIFIED:20220824T231806Z
UID:2789-1664986500-1664991000@colleges.claremont.edu
SUMMARY:How do mathematicians believe? (Prof. Brian P Katz)
DESCRIPTION:Title: How do mathematicians believe? \nSpeaker: Brian P Katz (BK)\, Department of Mathematics and Statistics\, CSU\, Long Beach \nAbstract: Love it or hate it\, many people believe that mathematics gives humans access to a kind of truth that is more absolute and universal than other disciplines. If this claim is true\, we must ask: what makes the origins and processes of mathematics special and how can our messy\, biological brains connect to the absolute? If the claim is false\, then what becomes of truth in mathematics? In this session\, we will discuss beliefs about truth and how they play out in the mathematics classroom\, trying to understand a little about identity\, authority\, and tertiary education. \n\nBrian P Katz (BK) is faculty in Mathematics Education at CSULB. BK is passionate about interactions between inquiry\, epistemology\, identity\, authority\, and justice as both a scholar and teacher\, especially in the context of preparing teachers to lead student-centered and rehumanizing classrooms of their own. BK is Associate and Communications Editor with PRIMUS\, a former Chair of IBL SIGMAA\, a current member of the executive committee of SIGMAA RUME\, an MAA textbook author\, co-Editor of the inclusion/exclusion blog\, co-Editor-in-Chief of the MAA Notes textbook series\, and an Associate Director of Project NExT. BK supports two of the best cats in the world and loves to sing.
URL:https://colleges.claremont.edu/ccms/event/how-do-mathematicians-believe-prof-brian-p-katz/
LOCATION:Humanities Auditorium\, Scripps College\, and Zoom\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
GEO:34.1035221214;-117.709766675
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221012T161500
DTEND;TZID=America/Los_Angeles:20221012T173000
DTSTAMP:20260418T060727
CREATED:20220830T231051Z
LAST-MODIFIED:20220921T214729Z
UID:2805-1665591300-1665595800@colleges.claremont.edu
SUMMARY:Human Computers in Astronomy: Women Astronomers at Mount Wilson Observatory during the Early Twentieth Century (Prof. Eun-Joo Ahn)
DESCRIPTION:Title: Human Computers in Astronomy: Women Astronomers at Mount Wilson Observatory during the Early Twentieth Century \nSpeaker: Eun-Joo Ahn\, Department of History\, UC Santa Barbara \n\nAbstract: Mount Wilson Observatory was founded by astrophysicist George Ellery Hale in 1904 with funding from the Carnegie Institution of Washington. Since then\, it has become one of the most prominent astronomical observatories during the first half of the twentieth century\, whose astronomers contributed to understanding the characteristics of the sun and the structure of our universe. When considering astronomers and science at MWO in the early years\, we will likely think of Hale and his male colleagues who worked to build the large telescopes and the astronomical research they carried out. We tend to overlook the women astronomers at MWO and the contribution they made while we pay attention to the more prominent men astronomers. It is easy to lose sight of these women scientists as they left few written records\, their workspaces have been remodeled\, and little if any of the instruments they used to carry out the measurements remain today. As human computers\, their tasks were mostly restricted to measuring positions or spectral lines of photographic plates\, and they did not have the same opportunity to expand their work to new challenges and roles. By reconstructing their contribution to the scientific work at MWO\, we can better understand how astronomers at MWO carried out the scientific discoveries and achievements at MWO that made this place prominent. In this talk\, I narrate what it was like to be a woman scientist at MWO during its first decade. \n\n\n\n\n\nEun-Joo Ahn is a historian of science researching how astronomers in Southern California interacted with their natural and socio-economic environment during the early twentieth century. She is a PhD Candidate in the Department of History at the University of California Santa Barbara. Previously\, she received her PhD in Astronomy and Astrophysics from the University of Chicago and worked on particle astrophysics as a postdoctoral researcher at the University of Delaware and Fermi National Accelerator Laboratory.
URL:https://colleges.claremont.edu/ccms/event/eun-joo-ahn/
LOCATION:Humanities Auditorium\, Scripps College\, and Zoom\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
GEO:34.1035221214;-117.709766675
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221026T161500
DTEND;TZID=America/Los_Angeles:20221026T173000
DTSTAMP:20260418T060727
CREATED:20220830T231139Z
LAST-MODIFIED:20220928T195647Z
UID:2806-1666800900-1666805400@colleges.claremont.edu
SUMMARY:Frequentist Model Averaging in the Generalized  Multinomial Logit Model  (Prof. Tonia Zeng)
DESCRIPTION:Title: Frequentist Model Averaging in the Generalized Multinomial Logit Model \nSpeaker: Tonia Zeng\, Applied Business Sciences and Economics\, University of La Verne \nAbstract: The generalized multinomial logit (GMNL) model accommodates scale heterogeneity to the random parameters logit (RPL) model. It has been often used to study people’s preferences and predict people’s decisions in many areas\, such as health economics\, marketing\, agricultural studies\, transportation research and public policy. However\, there are few works studying the efficiency of this model estimator and the corresponding estimation and prediction risks. In this paper\, we use a frequentist model averaging (FMA) estimator to reduce the estimation and prediction risks of the GMNL model estimator. We show that the asymptotic squared error risk of the FMA estimator dominates that of the GMNL model estimator. The accuracy of the predicted choices is also higher based on the FMA estimates compared to the results based on the GMNL estimates. In the empirical analyses\, using the FMA estimator improves the percentage of correct predicted choices by 10% compared to the results based on the GMNL estimates. This paper provides a more efficient alternative to the GMNL model to capture people’s preferences and predict people’s choices. \n\n\n\n\n\nTong (Tonia) Zeng is an economics professor\, specializing in econometrics at the University of La Verne. She is visiting in the Institute of Mathematical Sciences at Claremont Graduate University this semester. Her research interests include discrete choice models\, model averaging and machine learning.
URL:https://colleges.claremont.edu/ccms/event/tonia-zeng/
LOCATION:Humanities Auditorium\, Scripps College\, and Zoom\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
GEO:34.1035221214;-117.709766675
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