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X-WR-CALDESC:Events for California Center for Population Research
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190515T120000
DTEND;TZID=America/Los_Angeles:20190515T133000
DTSTAMP:20260428T141613
CREATED:20190423T153546Z
LAST-MODIFIED:20190506T164918Z
UID:10000676-1557921600-1557927000@ccpr.ucla.edu
SUMMARY:Tomas Jimenez\, Stanford University
DESCRIPTION:Title: The Other Side of Assimilation: How Immigrants are Changing American Life \nAbstract: The immigration patterns of the last three decades have profoundly changed nearly every aspect of life in the United States. What do those changes mean for the most established Americans—those whose families have been in the country for multiple generations? The Other Side of Assimilation shows that assimilation is not a one-way street. Jiménez explains how established Americans undergo their own assimilation in response to profound immigration-driven ethnic\, racial\, political\, economic\, and cultural shifts. \nCo-sponsored with the Center for the Study of International Migration and the Race and Ethnicity Sociology Working Group \nMore on Prof. Jimenez \n 
URL:https://ccpr.ucla.edu/event/tomas-jimenez-stanford-university/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2019/04/tomas.jimenez2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190508T120000
DTEND;TZID=America/Los_Angeles:20190508T133000
DTSTAMP:20260428T141613
CREATED:20180828T015938Z
LAST-MODIFIED:20190506T170218Z
UID:10000639-1557316800-1557322200@ccpr.ucla.edu
SUMMARY:Brandon Stewart\, Princeton University
DESCRIPTION:Title: How to Make Causal Inferences Using Texts \nAbstract: Texts are increasingly used to make causal inferences: either with the document serving as the treatment or the outcome. We introduce a new conceptual framework to understand all text-based causal inferences\, demonstrate fundamental problems that arise when using manual or computational approaches applied to text for causal inference\, and provide solutions to the problems we raise.  We demonstrate that all text-based causal inferences depend upon a latent representation of the text and we provide a framework to learn the latent representation. \nEstimating this latent representation\, however\, creates new risks: we may unintentionally create a dependency across observations or create opportunities to fish for large effects.  To address these risks\, we introduce a train/test split framework and apply it to estimate causal effects from an experiment on immigration attitudes and a study on bureaucratic responsiveness.  Our work provides a rigorous foundation for text-based causal inferences\, connecting two previously disparate literatures. (Joint Work with Egami\, Fong\, Grimmer and Roberts) \nCo-sponsored with the Center for Social Statistics \nMore on Prof. Stewart
URL:https://ccpr.ucla.edu/event/brandon-stewart-princeton-university/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,CSS Events,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/08/Stewart_Brandon-e1551121773302.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190501T120000
DTEND;TZID=America/Los_Angeles:20190501T133000
DTSTAMP:20260428T141613
CREATED:20180828T015320Z
LAST-MODIFIED:20190429T165951Z
UID:10000638-1556712000-1556717400@ccpr.ucla.edu
SUMMARY:Susan Athey\, Stanford University
DESCRIPTION:Title: Estimating Heterogeneous Treatment Effects and Optimal Treatment Assignment Policies \nAbstract: This talk will review recently developed methods for estimating conditional average treatment effects and optimal treatment assignment policies in experimental and observational studies\, including settings with unconfoundedness or instrumental variables.  Multi-armed bandits for learning treatment assignment policies will also be considered. \nCo-sponsored with the Center for Social Statistics \nMore on Prof. Athey \n  \n 
URL:https://ccpr.ucla.edu/event/susan-athey-stanford-university/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,CSS Events,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/08/susan-athey.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190425T143000
DTEND;TZID=America/Los_Angeles:20190425T153000
DTSTAMP:20260428T141613
CREATED:20190318T170935Z
LAST-MODIFIED:20210422T015804Z
UID:10000671-1556202600-1556206200@ccpr.ucla.edu
SUMMARY:Workshop: UCLA IRB Application Process
DESCRIPTION:Workshop: UCLA IRB Application Process \nPresentation by Moore Rhys  \nAssistant Director\, Education and Quality\, Office of the Human Research Protection Program\, UCLA \nThis workshop will provide an overview of the UCLA IRB application process and related policies and procedures. \nLearning goals for this workshop include: \n1)      Understanding when IRB review is required and when it is not \n2)      Identifying what training is required for conducting human subject research and how to complete it \n3)      Understanding how to get started in WebIRB \n4)      Familiarizing yourself with the IRB review process \n5)      Avoiding common pitfalls on the path to IRB approval \n6)      Identifying where to go for help \nVideo Recording
URL:https://ccpr.ucla.edu/event/workshop-ucla-irb-application-process/
CATEGORIES:CCPR Workshop,Divisional Publish
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190424T120000
DTEND;TZID=America/Los_Angeles:20190424T133000
DTSTAMP:20260428T141613
CREATED:20190311T163138Z
LAST-MODIFIED:20190521T184411Z
UID:10000669-1556107200-1556112600@ccpr.ucla.edu
SUMMARY:Jennifer Ahern\, UC Berkeley
DESCRIPTION:Title: Leveraging big data to assess health effects of changes in physical and social environments\, and policy and program implementation \nAbstract: In the era of big data there are opportunities to answer policy-relevant health questions in ways that are timely and cost-efficient. This talk will describe coordination of health data resources for health monitoring and to address questions about the health effects of policies in California. Examples of health effect assessments\, including those related to gun shows and the Mental Health Services Act (MHSA)\, will be presented. \nDr. Jennifer Ahern\, PhD MPH\, is Associate Dean for Research and Associate Professor of Epidemiology at University of California\, Berkeley\, School of Public Health. She examines the effects of the social and physical environment\, and programs and policies that alter the social and physical environment\, on many aspects of health (e.g.\, violence\, substance use\, mental health\, and gestational health). Dr. Ahern has a methodological focus to her work\, including application of causal inference methods and semi-parametric estimation approaches\, aimed at improving the rigor of observational research\, and optimizing public health intervention planning. Her research has been supported by a New Innovator Award from the National Institutes of Health (NIH)\, Office of the Director. \nPodcast Recording \nMore on Prof. Ahern
URL:https://ccpr.ucla.edu/event/jennifer-ahern-uc-berkeley/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2019/03/ahern.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190417T120000
DTEND;TZID=America/Los_Angeles:20190417T133000
DTSTAMP:20260428T141613
CREATED:20190325T170533Z
LAST-MODIFIED:20190521T184457Z
UID:10000675-1555502400-1555507800@ccpr.ucla.edu
SUMMARY:Yingchun Ji\, Shanghai University
DESCRIPTION:Title: Understanding China’s Low Fertility in a Gender and Development Approach \nAbstract: Without a surge of new born babies after the Chinese government relaxed the 40-year-long strict one-child family planning policy in 2013 and 2015\, the focus of debates regarding China’s declining fertility has shifted from policy to economic and social forces. Different from the mainstream demographers in China\, we propose a gender and development approach to understand low fertility in post-reform China. During China’s transition from the socialist planned economy to market economy\, the old danwei system collapsed and the public and private spheres are increasingly separating\, resulting in women’s intensified work-family conflicts. Emphasizing on women’s dual roles regarding material production and social reproduction\, we argue that sustainable fertility\, gender equality and economic development can either create a virtuous circle or be trapped in a vicious circle. With a certain degree of gender equality in both the labor market and the private families\, adult women can fully exert their talents at work which can both contribute to economic growth\, and also empower them at home. This can help them realize their fertility desires. With unsatisfying or uneven gender equality in the two spheres\, either some Chinese women can be pushed out of the labor market to have a second child\, or young women may choose to focus on personal development\, and postpone or forgo marriage/fertility. We also propose a multi-party-participation social mechanism to address the long term low fertility in China\, encouraging individual men and women\, family\, business and government to all share the duty of social reproduction. \nPodcast Recording \nMore on Prof. Ji
URL:https://ccpr.ucla.edu/event/yingchun-ji-shanghai-university/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2019/03/Yingchun-Ji.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190403T140000
DTEND;TZID=America/Los_Angeles:20190403T153000
DTSTAMP:20260428T141613
CREATED:20190321T170203Z
LAST-MODIFIED:20190321T170203Z
UID:10000673-1554300000-1554305400@ccpr.ucla.edu
SUMMARY:CCPR 2019 PAA Practice Session
DESCRIPTION:Please join us to hear our residents interesting research and give feedback for their upcoming PAA presentations. \nPresenters: \n\nAmanda Gonzalez\, “Do You Need to Pay for Quality Care? Exploring Associations Between Bribes and Out-of-Pocket Expenditures on Quality of Labor and Delivery Care in High Volume Public Health Facilities in Uttar Pradesh\, India”\nMary Robbins\, “A Development Dud: Is Microcredit in Bangladesh Actually Improving Women’s Lives? A Case Study in Matlab”\nJacob Thomas\, “Which Nationalities Have Been Coming the United States Less Since the 2016 Election?”\nAmber Villalobos\, “The Differential Impact of College on Becoming a Single Parent “\n Maria Lucia Yanguas\, “One Laptop per Child: Long-Run Evidence From Uruguay”
URL:https://ccpr.ucla.edu/event/ccpr-2019-paa-practice-session/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2016/02/1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190403T120000
DTEND;TZID=America/Los_Angeles:20190403T133000
DTSTAMP:20260428T141613
CREATED:20190131T172807Z
LAST-MODIFIED:20190321T164006Z
UID:10000655-1554292800-1554298200@ccpr.ucla.edu
SUMMARY:Leticia Marteleto\, UT Austin
DESCRIPTION:Title: Live Births and Fertility amidst the Zika Virus Epidemic in Brazil \nAbstract: In late 2015\, the Brazilian Ministry of Health classified the increase in congenital malformations associated with the Zika Virus (ZIKV) a public health emergency. The risk of ZIKV-related congenital syndrome posed an exogenous threat to reproductive outcomes that could result in declining numbers of live births and potentially fertility. Using 2014-2016 monthly microdata on live births from the Brazilian Information System on Live Births\, in this talk I examine live births and fertility trends amidst the ZIKV epidemic in Brazil. Findings suggest a decline in live births that is stratified across socioeconomic status and geographic lines\, especially nine months after the call for pregnancy postponement. While declines in total fertility rates were small\, fertility trends estimated by age and socioeconomic status suggest important differences in how Zika might have impacted Brazil’s fertility structure. Further findings using monthly data by municipality suggest that the epidemic resulted in a significant decline in fertility even when controlling for characteristics of the municipality. The findings highlight the importance of understanding how exposure to the risk of a health threat directed at fetuses has led to declines in fertility. \nMore on Prof. Marteleto
URL:https://ccpr.ucla.edu/event/leticia-marteleto-university-of-texas-at-austin/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2019/01/leticia_marteleto_profile_image.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190320T120000
DTEND;TZID=America/Los_Angeles:20190320T133000
DTSTAMP:20260428T141613
CREATED:20181126T182037Z
LAST-MODIFIED:20190311T181535Z
UID:10000522-1553083200-1553088600@ccpr.ucla.edu
SUMMARY:Martha Bailey\, University of Michigan
DESCRIPTION:Title: Prep School for Poor Kids: The Long-Run Impacts of Head Start on Human Capital and Economic Self-Sufficiency \nAbstract: This paper evaluates the long-run effects of Head Start using large-scale\, restricted 2000-2013 Census-ACS data linked to date and place of birth in the SSA’s Numident file. Using the county-level rollout of Head Start between 1965 and 1980 and state age-eligibility cutoffs for school entry\, we find that participation in Head Start is associated with increases in adult human capital and economic self-sufficiency\, including a 0.29-year increase in schooling\, a 2.1-percent increase in high-school completion\, an 8.7-percent increase in college enrollment\, and a 19-percent increase in college completion. These estimates imply sizable\, longterm returns to investing in large-scale preschool programs. \nMore on Prof. Bailey
URL:https://ccpr.ucla.edu/event/martha-bailey-university-of-michigan/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/11/image.1542755809319.jpg
ORGANIZER;CN="CCPR Seminars":MAILTO:seminars@ccpr.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190314T123000
DTEND;TZID=America/Los_Angeles:20190314T133000
DTSTAMP:20260428T141613
CREATED:20190305T214301Z
LAST-MODIFIED:20190305T214301Z
UID:10000667-1552566600-1552570200@ccpr.ucla.edu
SUMMARY:Lunch Seminar with CEGA-EASST Fellows 3/14/19
DESCRIPTION:Luskin School of Public Affairs and the California Center for Population Research Presents:Lunch Seminar with CEGA-EASST Fellows. Please RSVP here. \nMarch 14\, 2019 12:30-1:30pm\, Public Affairs Building Room 4240 \nMuthoni Ng’ang’a\, PhD Candidate University of Nairobi \n“The Impact of Matching Female Lead Farmers to Female Small-holder Farmers on Agricultural Technology Adoption: Evidence from Kenya” \nIn Kenya\, about 75% of the population live in the rural areas\, with agriculture being their main source of livelihood. Agricultural production is however\, low due to low adoption of agricultural technology. We hypothesize that in the case of improved cassava varieties\, farmers are unaware of their existence as well as their benefits. This study will use Randomized Control Trial to assess the impact of training farmers on high yielding improved cassava varieties on adoption of the technology. Further\, evidence has shown that people learn better from each other when they are grouped with people of similar characteristics. The study will therefore\, assess the impact of matching female lead farmers with female farmers on adoption of the improved cassava varieties and consequently on the welfare of households where farming decisions are mostly made by female members. \nTewodros Tesemma\, Associate Researcher at Ethiopian Development Research Institute (EDRI) \n“The Effect of Labeling and Modern Saving Tools in Increasing Savings: Experimental Evidence from Ethiopia” \nDigital government-to-beneficiary payments are rapidly becoming popular in many developing countries. Salary-linked accounts are of one of such innovations getting widespread acceptance. In this study\, I propose a randomized control trial to test whether labeling of saving accounts affect savings among government employees in urban Ethiopia\, who all have access to a salary-linked bank account. Employees in our treatment groups receive one or multiple accounts labeled for different purposes\, while those in a control group receive nothing. Moreover\, I also investigate whether type of deposit vehicles play significant role in dictating saving behavior. \nGrace Mhalu\, Research Scientist at Ifakara Health Institute \n“Impact of an instructional video on production of diagnostic sputum for tuberculosis case detection in presumptive TB patients in Tanzania.” \nDiagnosis and the performance of laboratory testing for the detection of tuberculosis (TB) depends on obtaining adequate sputum samples and the quality of sputum sample collected. For TB diagnosis\, presumptive TB cases with coughing for more than two weeks are asked to spontaneously produce sputum from the lungs. However\, presumptive TB cases usually have inadequate biological samples or samples with low concentration of TB bacilli because patients often give saliva from the mouth\, which decreases sensitivity of the test and results in missed diagnosis. Women in particular are less likely to test smear positive than men possibly because they are less comfortable with sputum expectoration. We aim to evaluate whether showing patients an instructional video on sputum collection increases the quality of sputum samples and TB detection\, and to assess whether gender difference in the video and the subject affects sputum quality in a randomized control trial in Tanzania.
URL:https://ccpr.ucla.edu/event/lunch-seminar-with-cega-easst-fellows-3-14-19/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:Divisional Publish,Other Conferences
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190313T120000
DTEND;TZID=America/Los_Angeles:20190313T133000
DTSTAMP:20260428T141613
CREATED:20180828T013953Z
LAST-MODIFIED:20190204T185508Z
UID:10000637-1552478400-1552483800@ccpr.ucla.edu
SUMMARY:Alan Murray\, UC Santa Barbara
DESCRIPTION:Title: Population Vulnerability and Spatial Analytics \nAbstract: There has been a transition from population studies that were relatively data poor to the present day where digital data is plentiful on many fronts. The “Smart City” is fed by sources of information coming from all directions\, where sensors observe things about the movement of vehicles and people\, infrastructure conditions\, air quality\, weather\, etc. The challenge is to make use of this digital data\, and this is precisely the value added offered by a range of big data spatial analytics. This paper examines aspects of population vulnerability\, focusing on particular types of risks and hazards in urban areas. \nMore on Prof. Murray
URL:https://ccpr.ucla.edu/event/alan-murray-uc-santa-barbara/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/08/Alan_Murray.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190306T120000
DTEND;TZID=America/Los_Angeles:20190306T133000
DTSTAMP:20260428T141613
CREATED:20180828T013701Z
LAST-MODIFIED:20190204T185622Z
UID:10000636-1551873600-1551879000@ccpr.ucla.edu
SUMMARY:Matt Harding\, UC Irvine
DESCRIPTION:Title: Small steps with Big Data: Using Machine Learning in Resource Economics \nAbstract: This talk looks at how recent developments in Big Data and Machine Learning are being used in conjunction with randomized controlled trials and large population level program evaluations to design\, implement and measure efforts to change consumer behavior. We will explore the role played by very detailed consumption data (often at 15 minute intervals)\, as well as recent techniques such as deep learning to help us better understand individual and population behaviors\, and which insights from behavioral sciences are effective at changing behaviors in areas such as energy conservation and efficiency. \nMore on Prof. Harding 
URL:https://ccpr.ucla.edu/event/matt-harding-uc-irvine/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/08/Harding_Matthew.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190305T150000
DTEND;TZID=America/Los_Angeles:20190305T163000
DTSTAMP:20260428T141613
CREATED:20190131T171533Z
LAST-MODIFIED:20190227T182129Z
UID:10000654-1551798000-1551803400@ccpr.ucla.edu
SUMMARY:Andrés Villarreal\, University of Maryland
DESCRIPTION:Title: Immigrants’ Economic Assimilation: Evidence from Matched Administrative Records \nAbstract: Immigrants’ ability to succeed in the labor market and achieve economic parity with natives has significant long-term implications for their well-being and that of their children. In this talk I will present findings from two studies examining immigrants’ economic assimilation using a dataset that links respondents of the Survey of Income and Program Participation (SIPP) to their individual tax records. The first study examines the lifetime earnings trajectories of immigrants and measures the extent and speed with which they are able to reduce the earnings gap with natives. Findings from this study address key debates regarding ethnoracial and cohort differences in immigrants’ earnings trajectories. First\, we find a racially differentiated pattern of earnings assimilation: black and Hispanic immigrants are less able to catch up with native whites’ earnings compared to white and Asian immigrants\, but they are almost able to reach earnings parity with natives of their same race and ethnicity. Second\, contrary to previous studies we find no evidence that recent immigrant cohorts are experiencing lower earnings growth. The second study examines immigrants’ job instability. We find that foreign-born men\, particularly those who are undocumented\, were at higher risk of losing their job and becoming involuntarily underemployed during the Great Recession even after controlling for demographic factors and job characteristics. \nMore on Prof. Villarreal
URL:https://ccpr.ucla.edu/event/andres-villarreal-university-of-maryland-2/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2019/01/Andres-Villarreal.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190227T120000
DTEND;TZID=America/Los_Angeles:20190227T133000
DTSTAMP:20260428T141613
CREATED:20181126T180922Z
LAST-MODIFIED:20190225T212704Z
UID:10000521-1551268800-1551274200@ccpr.ucla.edu
SUMMARY:Fernando Riosmena\, CU Boulder
DESCRIPTION:Title: Individual and Neighborhood Vulnerability over the Latin American Immigrant Health Experience \nAbstract: The state of Latino health seemingly defies the way in which the historical disadvantages faced by people of color in the United States get under the skin\, and how place matters in reflecting or further reproducing these disparities. Hispanics –especially foreign-born individuals with lower socioeconomic statuses– have more favorable health than other race/ethnic groups –notably\, U.S.-born non-Hispanic whites– in a limited but very important set of health outcomes such as cardiovascular function\, some cancers and mortality across much of the life course. \nIn this talk\, I discuss the mechanisms/phenomena driving the Hispanic immigrant health advantage\, which is likely tied to processes of self-selection as well as to protection and resilience likely operating particularly well in heavily-concentrated Latino neighborhoods and enclaves. Throughout\, I present my empirical research aimed at disentangling self-selection processes from the protection that immigrants might draw from fellow neighborhood and/or community members. I further discuss these findings in the context of how immigrants adapt in the longer term: these advantages and resilience eventually erode as immigrants spend more time in the United States –as well as across immigrant generations– through a series of processes by which immigrant and Latino vulnerability become somatized. \nI conclude by speculating on the likely future of Latino and immigrant health\, discussing how the resilience and vulnerability of Latino immigrants might evolve given recent major shifts U.S. immigration and social policies and practices\, and due to important changes in the dynamics of migration between Mesoamerica and the United States. \nMore on Prof. Riosmena
URL:https://ccpr.ucla.edu/event/fernando-riosmena-university-of-colorado/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/10/0f5dbe60aba4fb11118f4600ef21cb64332df833.jpeg
ORGANIZER;CN="CCPR Seminars":MAILTO:seminars@ccpr.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190226T140000
DTEND;TZID=America/Los_Angeles:20190226T150000
DTSTAMP:20260428T141613
CREATED:20190225T195602Z
LAST-MODIFIED:20190225T201212Z
UID:10000663-1551189600-1551193200@ccpr.ucla.edu
SUMMARY:Adeline Lo\, Princeton University
DESCRIPTION:Title: Covariate screening in high dimensional data: applications to forecasting and text data \nAbstract: High dimensional (HD) data\, where the number of covariates and/or meaningful covariate interactions might exceed the number of observations\, is increasing used in prediction in the social sciences. An important question for the researcher is how to select the most predictive covariates among all the available covariates. Common covariate selection approaches use ad hoc rules to remove noise covariates\, or select covariates through the criterion of statistical significance or by using machine learning techniques. These can suffer from lack of objectivity\, choosing some but not all predictive covariates\, and failing reasonable standards of consistency that are expected to hold in most high-dimensional social science data. The literature is scarce in statistics that can be used to directly evaluate covariate predictivity. We address these issues by proposing a variable screening step prior to traditional statistical modeling\, in which we screen covariates for their predictivity. We propose the influence (I) statistic to evaluate covariates in the screening stage\, showing that the statistic is directly related to predictivity and can help screen out noisy covariates and discover meaningful covariate interactions. We illustrate how our screening approach can removing noisy phrases from U.S. Congressional speeches and rank important ones to measure partisanship. We also show improvements to out-of-sample forecasting in a state failure application. Our approach is applicable via an open-source software package. \nHosted by the Center for Social Statistics  \nMore on Prof. Lo
URL:https://ccpr.ucla.edu/event/adeline-lo-princeton-university/
LOCATION:1434A Physics and Astronomy Building
CATEGORIES:CSS Events,Divisional Publish
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190220T120000
DTEND;TZID=America/Los_Angeles:20190220T133000
DTSTAMP:20260428T141613
CREATED:20181005T044242Z
LAST-MODIFIED:20190219T173607Z
UID:10000517-1550664000-1550669400@ccpr.ucla.edu
SUMMARY:Jan Van Bavel\, University of Leuven
DESCRIPTION:Title:  The Reversal of the Gender Gap in Education and Family Dynamics in Europe \nAbstract:  Although men tended to receive more education than women in the past\, the gender gap in education has reversed in recent decades in most Western and many non-Western countries. In this talk\, I will discuss the main results of a major research project that aimed to investigate the implications of the reversal of the gender gap in advanced education for family life across European countries. I highlight the results about union formation and assortative mating\, discuss our findings about union stability as well as about husbands’ and wives’ relative earnings. Finally\, I present some first results from research about implications for fertility behavior. To conclude\, I will reflect on implications for conventional theories used in family sociology and demography. \nCo-sponsored by the Family Working Group \nMore on Prof. Bavel
URL:https://ccpr.ucla.edu/event/jan-van-bavel-university-of-leuven/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/10/1859_1395131493_large.jpg
ORGANIZER;CN="CCPR Seminars":MAILTO:seminars@ccpr.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190214T100000
DTEND;TZID=America/Los_Angeles:20190214T110000
DTSTAMP:20260428T141613
CREATED:20190207T183347Z
LAST-MODIFIED:20210422T015836Z
UID:10000657-1550138400-1550142000@ccpr.ucla.edu
SUMMARY:Workshop: Tips for Success in Publishing in Peer Review Journals: An Editor's Perspective
DESCRIPTION:Workshop: Tips for Success in Publishing in Peer Review Journals: An Editor’s Perspective \nPresentation by Prof. Gilbert Gee \nProf. Gee Dr. Gee is currently the Editor of the Journal of Health and Social Behavior.  He has also been a guest editor for Child Development\, Asian American and Pacific Islander Nexus Journal\, and the Asian American Journal of Psychology. \n 
URL:https://ccpr.ucla.edu/event/workshop-tips-for-success-in-publishing-in-peer-review-journals-an-editors-perspective/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Workshop,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2019/02/Gil2013.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190213T120000
DTEND;TZID=America/Los_Angeles:20190213T133000
DTSTAMP:20260428T141613
CREATED:20181005T043528Z
LAST-MODIFIED:20190129T221353Z
UID:10000515-1550059200-1550064600@ccpr.ucla.edu
SUMMARY:Peter Bearman\, Columbia University
DESCRIPTION:Title:  Neural mechanisms lie behind the emergence of dyadic affective reciprocity and transitive closure in human groups \nAbstract:  This talk considers a set of findings from socializing cognitive social neuroscience that captures neural and social network data at multiple time points for a group of students who volunteered to organize workers in very difficult social situations on the 50th anniversary of Freedom Summer\, in the Summer of Respect project. We identify a neural mechanism for the emergence of affective reciprocity\, the building block of social solidarity. We show that we can predict from neural signatures who group members will like five months in the future. We extend this work to a discussion of transitivity\, or balance. Time permitting\, we discuss how a neural signature of self-enhancement (narcissism) predicts becoming peripheral in small groups\, supporting the idea that there is “no I in team”.   \nCo-sponsored by the Sociology Department \nMore on Prof. Bearman
URL:https://ccpr.ucla.edu/event/peter-bearman-columbia-university/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/10/Bearman_Peter.jpg
ORGANIZER;CN="CCPR Seminars":MAILTO:seminars@ccpr.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190131T140000
DTEND;TZID=America/Los_Angeles:20190131T150000
DTSTAMP:20260428T141613
CREATED:20190115T221438Z
LAST-MODIFIED:20210424T031350Z
UID:10000524-1548943200-1548946800@ccpr.ucla.edu
SUMMARY:Workshop: Merging Entities - Deterministic\, Approximate\, & Probabilistic
DESCRIPTION:Instructor:\nMichael Tzen \nTitle:\nMerging Entities: Deterministic\, Approximate\, & Probabilistic \nLocation:\nJanuary 31\, 2019\, 2:00-3:00 PM\n4240 Public Affairs Building\nCCPR Seminar Room \nContent:\nCombining information from different groups is a fundamental procedure in the data analysis pipeline. Using NBA and NCAA data\, we will walk through deterministic\, approximate\, and probabilistic methods to merge entities from the different data sources. Is Luc Richard Mbah a Moute playing in the NBA the same Luc Mbah a Moute who played for the University of California\, Los Angeles? We’ll discuss how the probabilistic methods loosely relate to matching in causal analysis. After this workshop\, participants should be able to merge data sets 3 different ways and think about how the merge quality may affect downstream analysis. \nPlease RSVP below \nhttps://goo.gl/forms/XiuYjqjkcD0WnHov2 \nslides rscript
URL:https://ccpr.ucla.edu/event/workshop-merging-entities/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Workshop,CSS Events,Divisional Publish
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190130T120000
DTEND;TZID=America/Los_Angeles:20190130T133000
DTSTAMP:20260428T141613
CREATED:20180828T012035Z
LAST-MODIFIED:20190107T173339Z
UID:10000635-1548849600-1548855000@ccpr.ucla.edu
SUMMARY:Ushma Upadhyay\, UC San Francisco
DESCRIPTION:Title:  Measuring Reproductive Autonomy: Are the questions different for Adolescents and Young Adults? \nAbstract:  Ushma Upadhyay\, PhD\, MPH will discuss her previous work developing the Reproductive Autonomy Scale\, which has been mainly used among adults.  Her current work focuses on understanding reproductive empowerment among young people\, and the development of a new psychometric measure of Sexual Health and Reproductive Empowerment for Young Adults (The SHREYA Scale).     \nCo-sponsored with The Bixby Center \nMore on Prof. Upadhyay
URL:https://ccpr.ucla.edu/event/ushma-upadhyay-uc-san-francisco/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/08/Upadhyay_Ushma.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190128T150000
DTEND;TZID=America/Los_Angeles:20190128T163000
DTSTAMP:20260428T141613
CREATED:20190111T225128Z
LAST-MODIFIED:20220425T155305Z
UID:10000523-1548687600-1548693000@ccpr.ucla.edu
SUMMARY:Lars Vilhuber\, Cornell University
DESCRIPTION:Prof. Lars Vilhuber\, Cornell University “Replication and Reproducibility in Social Sciences and Statistics: Context\, Concerns\, and Concrete Measures” \nAbstract: Replicability is at the core of the scientific enterprise. In the past 30 years\, recurring concerns about the extent of replicability  (or lack thereof) of the research in various disciplines have surfaced\, including in economics. In this talk\, I describe the context in which the current discussion in the social science is occurring: what are the definitions of replicability and reproducibility\, what is failing\, and to what extent. I discuss the currents state in economics as an example: to what extent is this a problem\, what are the approaches that are being considered\, and what are the possible broader implications of those approaches. Finally\, I discuss the concrete measures that are being implemented under my guidance at the American Economic Association\, and that are being discussed in the broader social science community. The solutions to these problems will change the way research will be taught and conducted\, in economics in particular\, and in the social sciences more broadly. The implications affect undergraduate and graduate teaching\, research infrastructure\, and habits. \n 
URL:https://ccpr.ucla.edu/event/lars-vilhuber-cornell-university/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Conference,CCPR Workshop,Divisional Publish,Other Conferences
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2019/01/lv39-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190123T120000
DTEND;TZID=America/Los_Angeles:20190123T133000
DTSTAMP:20260428T141613
CREATED:20180828T011625Z
LAST-MODIFIED:20190118T194253Z
UID:10000634-1548244800-1548250200@ccpr.ucla.edu
SUMMARY:Kosuke Imai\, Harvard University
DESCRIPTION:Title:  Matching Methods for Causal Inference with Time-Series Cross-Section Data \nAbstract:  Matching methods aim to improve the validity of causal inference in observational studies by reducing model dependence and offering intuitive diagnostics. While they have become a part of standard tool kit for empirical researchers across disciplines\, matching methods are rarely used when analyzing time-series cross-section (TSCS) data\, which consist of a relatively large number of repeated measurements on the same units. We develop a methodological framework that enables the application of matching methods to TSCS data. In the proposed approach\, we first match each treated observation with control observations from other units in the same time period that have an identical treatment history up to the pre-specified number of lags. We use standard matching and weighting methods to further refine this matched set so that the treated observation has outcome and covariate histories similar to those of its matched control observations. Assessing the quality of matches is done by examining covariate balance. After the refinement\, we estimate both short-term and long-term average treatment effects using the difference-in-differences estimator\, accounting for a time trend. We also show that the proposed matching estimator can be written as a weighted linear regression estimator with unit and time fixed effects\, providing model-based standard errors. We illustrate the proposed methodology by estimating the causal effects of democracy on economic growth\, as well as the impact of inter-state war on inheritance tax. The open-source software is available for implementing the proposed matching methods. \nCo-sponsored with the Political Science Department\, Statistics Department and the Center for Social Statistics \nMore on Prof. Imai
URL:https://ccpr.ucla.edu/event/kosuke-imai-harvard/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,CSS Events,Divisional Publish
ATTACH;FMTTYPE=image/png:https://ccpr.ucla.edu/wp-content/uploads/2018/08/Iami_Kosuke.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190116T120000
DTEND;TZID=America/Los_Angeles:20190116T133000
DTSTAMP:20260428T141613
CREATED:20180828T011011Z
LAST-MODIFIED:20190118T194235Z
UID:10000633-1547640000-1547645400@ccpr.ucla.edu
SUMMARY:Rocio Titiunik\, University of Michigan
DESCRIPTION:Title:  Internal vs. external validity in studies with incomplete populations \nAbstract:  Researchers working with administrative data rarely have access to the entire universe of units they need to estimate effects and make statistical inferences. Examples are varied and come from different disciplines. In social program evaluation\, it is common to have data on all households who received the program\, but only partial information on the universe of households who applied or could have applied for the program. In studies of voter turnout\, information on the total number of citizens who voted is usually complete\, but data on the total number of voting-eligible citizens is unavailable at low levels of aggregation. In criminology\, information on arrests by race is available\, but the overall population that could have potentially been arrested is typically unavailable. And in studies of drug overdose deaths\, we lack complete information about the full population of drug users. \nIn all these cases\, a reasonable strategy is to study treatment effects and descriptive statistics using the information that is available. This strategy may lack the generality of a full-population study\, but may nonetheless yield valuable information for the included units if it has sufficient internal validity. However\, the distinction between internal and external validity is complex when the subpopulation of units for which information is available is not defined according to a reproducible criterion and/or when this subpopulation itself is defined by the treatment of interest. When this happens\, a useful approach is to consider the full range of conclusions that would be obtained under different possible scenarios regarding the missing information. I discuss a general strategy based on partial identification ideas that may be helpful to assess sensitivity of the partial-population study under weak (non-parametric) assumptions\, when information about the outcome variable is known with certainty for a subset of the units. I discuss extensions such as the inclusion of covariates in the estimation model and different strategies for statistical inference. \nCo-sponsored with the Political Science Department\, Statistics Department and the Center for Social Statistics \nMore on Prof. Titiunik
URL:https://ccpr.ucla.edu/event/rocio-titiunik-university-of-michigan/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,CSS Events,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/08/Titiunik_Rocio.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181205T120000
DTEND;TZID=America/Los_Angeles:20181205T133000
DTSTAMP:20260428T141613
CREATED:20180828T010650Z
LAST-MODIFIED:20181105T182525Z
UID:10000632-1544011200-1544016600@ccpr.ucla.edu
SUMMARY:Alison Norris\, The Ohio State University
DESCRIPTION:Title: Abortion utilization in Ohio’s changing legislative context \nAbstract: Changes in Ohio\, most notably legislation and policy changes since 2011\, likely have impacted women’s access to abortion. Many abortion clinics in Ohio have closed in the past seven years\, and several others are currently engaged in litigation and are at risk of closure.  Clinic closures influence the distance that women travel when seeking abortion. Coupled with the impact of an Ohio law that mandates a 24-hour waiting period after a woman’s initial abortion consultation\, loss of a nearby clinic may put abortion out of reach for many women. Other legislation limits where abortions can and cannot be performed and to what gestational stage abortions are performed. This presentation will provide preliminary findings about population-level shifts in abortion utilization\, with special attention to change over time\, geographic variation\, and groups of women who may be underserved. \nCo-sponsored with The Bixby Center  \nMore on Prof. Norris
URL:https://ccpr.ucla.edu/event/alison-norris-ohio-state-university/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/08/Norris_Alison.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181128T120000
DTEND;TZID=America/Los_Angeles:20181128T133000
DTSTAMP:20260428T141613
CREATED:20180828T003754Z
LAST-MODIFIED:20181008T175609Z
UID:10000631-1543406400-1543411800@ccpr.ucla.edu
SUMMARY:Michael Clemens\, Center for Global Development
DESCRIPTION:Title: Immigration Restrictions as Active Labor Market Policy: Evidence from the Mexican Bracero Exclusion \nAbstract: An important class of active labor market policy has received little impact evaluation: immigration barriers intended to raise wages and employment by shrinking labor supply. Theories of endogenous technical advance raise the possibility of limited or even perverse impact. We study a natural policy experiment: the exclusion of almost half a million Mexican bracero farm workers from the United States to improve farm labor market conditions. With novel labor market data we measure state-level exposure to exclusion and model the absent changes in technology or crop mix. We fail to reject zero labor market impact\, inconsistent with this model. \n*Co-sponsored with the Public Policy and Applied Social Sciences Seminar \nMore on Prof. Clemens 
URL:https://ccpr.ucla.edu/event/michael-clemens-center-for-global-development/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/08/Clemens_Michael.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181114T120000
DTEND;TZID=America/Los_Angeles:20181114T133000
DTSTAMP:20260428T141613
CREATED:20180828T003331Z
LAST-MODIFIED:20210424T023141Z
UID:10000630-1542196800-1542202200@ccpr.ucla.edu
SUMMARY:Adrian Raftery\, University of Washington
DESCRIPTION:Title: Bayesian Population Projections with Migration Uncertainty \nAbstract: The United Nations recently issued official probabilistic population projections for all countries for the first time\, using a Bayesian hierarchical modeling framework developed by our group at the University of Washington. These take account of uncertainty about future fertility and mortality\, but not international migration. We propose a Bayesian hierarchical autoregressive model for obtaining joint probabilistic projections of migration rates for all countries\, broken down by age and sex. Joint trajectories for all countries are constrained to satisfy the requirement of zero global net migration. We evaluate our model using out-of-sample validation and compare point projections to the projected migration rates from a persistence model similar to the UN’s current method for projecting migration\, and also to a state of the art gravity model. We also resolve an apparently paradoxical discrepancy between growth trends in the proportion of the world population migrating and the average absolute migration rate across countries. This is joint work with Jonathan Azose and Hana Ševčíková. \nCo-sponsored with the Center for Social Statistics \nMore on Prof. Raftery
URL:https://ccpr.ucla.edu/event/adrian-raftery-university-of-washington/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,CSS Events,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/08/Raftery_Adrian.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181107T120000
DTEND;TZID=America/Los_Angeles:20181107T133000
DTSTAMP:20260428T141613
CREATED:20181102T193806Z
LAST-MODIFIED:20190123T195523Z
UID:10000519-1541592000-1541597400@ccpr.ucla.edu
SUMMARY:Chad Hazlett\, UCLA
DESCRIPTION:Title:  Making Sense of Sensitivity: Extending Omitted Variable Bias \nAbstract:We extend the omitted variable bias framework with a suite of tools for sensitivity analysis in regression models that: (i) does not require assumptions about the treatment assignment nor the nature of confounders; (ii) naturally handles multiple confounders\, possibly acting non-linearly; (iii) exploits expert knowledge to bound sensitivity parameters; and\, (iv) can be easily computed using only standard regression results. In particular\, we introduce two novel sensitivity measures suited for routine reporting. The robustness value describes the minimum strength of association unobserved confounding would need to have\, both with the treatment and the outcome\, to change the research conclusions. The partial R2 of the treatment with the outcome shows how strongly confounders explaining all the residual outcome variation would have to be associated with the treatment to eliminate the estimated effect. Next\, we offer graphical tools for elaborating on problematic confounders\, examining the sensitivity of point estimates\, t-values\, as well as “extreme scenarios”. Finally\, we describe problems with a common “benchmarking” practice and introduce a novel procedure to instead formally bound the strength of confounders based on comparison to observed covariates. We apply these methods to a running example that estimates the effect of exposure to violence on attitudes toward peace. \nPodcast Recording  \nMore info on Chad Hazlett
URL:https://ccpr.ucla.edu/event/chad-hazlett-ucla/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/11/hazlett2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181031T133000
DTEND;TZID=America/Los_Angeles:20181031T143000
DTSTAMP:20260428T141613
CREATED:20181031T172859Z
LAST-MODIFIED:20220425T154303Z
UID:10000518-1540992600-1540996200@ccpr.ucla.edu
SUMMARY:Introducing the Brazilian Longitudinal Study of Aging (ELSI-Brasil)
DESCRIPTION:Fabíola Bof de Andrade\, Fundação Oswaldo Cruz\, Instituto de Pesquisas René Rachou\, Brazil & James Macinko\, UCLA \nThis seminar will provide an introduction to the newest study in the Health and Retirement Study (HRS) family\, the Brazilian Longitudinal Study of Aging. The speakers will describe the overall study design and the main topics covered\, highlight results from the baseline survey\, and discuss how to obtain and use the survey data. All interested faculty\, staff and students are welcome to attend. \n 
URL:https://ccpr.ucla.edu/event/introducing-the-brazilian-longitudinal-study-of-aging-elsi-brasil/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Conference,CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/10/ELSI-Brasil-e1541007274769.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181031T120000
DTEND;TZID=America/Los_Angeles:20181031T133000
DTSTAMP:20260428T141613
CREATED:20180828T000130Z
LAST-MODIFIED:20181023T221710Z
UID:10000629-1540987200-1540992600@ccpr.ucla.edu
SUMMARY:Dalton Conley\, Princeton University
DESCRIPTION:Title: Social Science in the Age of Genomics \nAbstract: The cost of genetic information has been dropping at a rate faster than that of Moore’s law in microcomputing.  As a result\, the science of genetic prediction has improved by leaps and bounds in recent years\, and with it has emerged a novel field: sociogenomics.  Sociogenomics seeks to integrate genetic and environmental information to obtain a more robust\, complete picture of the causes of human behavior.  This talk will highlight some recent examples of sociogenomic research\, touching upon issues such as adolescent peer effects\, racial discrimination\, assortative mating\, and fertility patterns.  The talk will conclude by discussing the social and policy implications of genetic prediction. \n*Co-Sponsored with the Institute for Society and Genetics\, the Luskin for Innovation and the Public Policy and Applied Social Science Seminar  \nMore on Prof. Conley \n 
URL:https://ccpr.ucla.edu/event/dalton-conley-princeton-university/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/08/dconley.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181024T121500
DTEND;TZID=America/Los_Angeles:20181024T134500
DTSTAMP:20260428T141613
CREATED:20180821T223502Z
LAST-MODIFIED:20181009T230635Z
UID:10000628-1540383300-1540388700@ccpr.ucla.edu
SUMMARY:Berk Ozler\, World Bank
DESCRIPTION:Title: Increasing the uptake of Long-Acting Reversible Contraceptives (LARCs) among adolescent females and young women in Cameroon \nAbstract: In sub-Saharan Africa\, 25% of teenagers have started childbearing (ICF\, 2015). While young women describe many of these births as planned and intentional\, women under the age of 20 also have the greatest percentage of mistimed/unintended pregnancies compared to all other age groups. For example\, in Cameroon\, more than 30% of the births to this group were unwanted or wanted later (DHS 2011). Low age at first birth has a significant impact on the spacing of births and timing of future pregnancies. It may also reduce accumulation of human capital for both the mother and the child. \nDespite the desire to delay childbearing\, only a minority of sexually active unmarried women in most low-income countries uses any modern method of contraception (ICF\, 2015). The shares of women using reliable short-acting methods of contraception (injectables and pills) are even smaller\, with very few unmarried or nulliparous women using LARCs (IUDs or implants). For example\, 41% of sexually active unmarried women in Cameroon report using male condoms\, with 6% using SARCs and less than 1% using LARCs (DHS 2011). Given meaningful differences in the typical-use effectiveness of these different methods\, it is important to understand why most women don’t use any modern methods of contraceptives\, and why\, among users\, women favor the short-acting (but\, less reliable) methods over the long-acting (but almost 100% effective) ones. \nIn this talk\, Berk Özler will describe their multi-disciplinary team’s ongoing work in Cameroon that is attempting to identify the barriers to the uptake of LARCs and testing interventions to overcome them. They will briefly summarize the formative qualitative work to identify the supply- and demand-side barriers; describe a tablet-based decision-support tool they developed for nurses to counsel young women on modern contraceptive methods\, and describe the design of two randomized-controlled trials that test some of the interventions designed with the government of Cameroon. \nPlease RSVP for lunch \nCo-sponsored with the UCLA Luskin Senior Fellows Speaker Series \nMore on Prof. Ozler \n 
URL:https://ccpr.ucla.edu/event/berk-ozler-world-bank/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/08/BOzler.jpg
ORGANIZER;CN="CCPR Seminars":MAILTO:seminars@ccpr.ucla.edu
END:VEVENT
END:VCALENDAR