Please join the Center for Statistics and the Social Sciences for their next speaker in the Center for Statistics and the Social Sciences Seminar Series. On Wednesday, May 17 at 12:30 pm, Isaiah Andrews, Professor of Economics at Harvard University, will give a seminar titled, “Inference on Winners.”
This seminar will be offered as a hybrid session. Below please find the abstract and information about joining in-person or on Zoom.
Abstract:
Many empirical questions concern target parameters selected through optimization. For example, researchers may be interested in the effectiveness of the best policy found in a randomized trial, or the best-performing investment strategy based on historical data. Such settings give rise to a winner’s curse, where conventional estimates are biased and conventional confidence intervals are unreliable. This paper develops optimal confidence intervals and median-unbiased estimators that are valid conditional on the target selected and so overcome this winner’s curse. If one requires validity only on average over targets that might have been selected, we develop hybrid procedures that combine conditional and projection confidence intervals to offer further performance gains relative to existing alternatives.
This seminar will be located at 409 Savery Hall
To join by Zoom, please use the information below.
https://washington.zoom.us/j/91889204671
On May 17 @4:30pm CSDE Affiiliate Abraham Flaxman will be presenting to the eScience Institute on work his team has been doing to generate pseudo populations – “Introducing pseudopeople: Census-scale simulated data for entity resolution.” The talk will introduce and demo pseudopeople, our new, publicly available Python package that we hope you will use in entity resolution research and development. pseudopeople generates census-scale, simulated population data with adjustable parameters, to replicate key complexities from real challenges in record linkage work. Typical applications of entity resolution and record linkage rely on sensitive and confidential data, and this can be a barrier to reproducible computational research and sometimes even to open communication about innovations and challenges. The value hypothesis of this work is that creating realistic, simulated data (that includes non-confidential simulated versions of sensitive fields, like name, address, and date of birth) will enable more research in census-scale entity resolution and guide the research towards challenges that Census Bureau faces in practice.
On May 17 @4:30pm CSDE Affiiliate Abraham Flaxman will be presenting to the eScience Institute on work his team has been doing to generate pseudo populations – “Introducing pseudopeople: Census-scale simulated data for entity resolution.” The talk will introduce and demo pseudopeople, our new, publicly available Python package that we hope you will use in entity resolution research and development. pseudopeople generates census-scale, simulated population data with adjustable parameters, to replicate key complexities from real challenges in record linkage work. Typical applications of entity resolution and record linkage rely on sensitive and confidential data, and this can be a barrier to reproducible computational research and sometimes even to open communication about innovations and challenges. The value hypothesis of this work is that creating realistic, simulated data (that includes non-confidential simulated versions of sensitive fields, like name, address, and date of birth) will enable more research in census-scale entity resolution and guide the research towards challenges that Census Bureau faces in practice.
CSDE is seeking a graduate research assistant to join our research team to examine the impact of the Dobbs decision on family violence in US Google search data using a natural experiment that takes advantage of both the timing of the national-level Dobbs decision and the variation in abortion restrictions by states following the decision. This research will occur under the direct supervision of Dr. Jeanie Santaularia. The largest responsibility of the RA will involve performing a literature review and assisting in writing papers, however, analysis of data in R may also be required. For more information regarding the position please view here!
Duke University’s Social Networks & Health Workshop is now making it possible for remote attendance through a livestream option. The workshop will be featuring a number of cutting edge researchers, including jimi adams, James Moody, Craig Rawlings, Brea Perry, Ashton Verdure, Peter Mucha, Kieran Lele, Gabriel Varela, Dana Pasquale, Scott Duxbury, David Schaefer, Carter Butts, Sam Jenners (CSDE External Affiliate and CSDE Alum!), Alex Volfovsky, Thomas Wolff, Peter Cho and Jessilyn Dunn. The topics covered include ABM, EpiModel, Statistics on Networks, Latent Spaces and Causal Effects, Network Interventions, CHAMP, Implications of missing data, etc. This will be a rich set of resources.
The Annual Social Networks & Health workshop is live next week! Looking forward to seeing many of you there.
The schedule is attached; unfortunately registration has closed for the in-person event. BUT! We are pleased to announce that we are able to live-stream the workshop this year for those who would like to “attend” remotely.
The links for the live-stream are below:
Day 1: https://youtube.com/live/sfE7bv_lPhY?feature=share
Day 2: https://youtube.com/live/eXbC-TDMft0?feature=share
Day 3: https://youtube.com/live/-GrZec2O7Ho?feature=share
Day 4: https://youtube.com/live/G8yCzLKBSjQ?feature=share
Day 5: https://youtube.com/live/tavUs5ci1cU?feature=share
Chat/Q&A for remote participation will be limited – but we’ll do our best.
For anyone local (participating in the workshop or not), please join us Tuesday evening for a NC BBQ on the deck of Gross Hall. 6:30 – 8:30.
Duke University’s Social Networks & Health Workshop is now making it possible for remote attendance through a livestream option. The workshop will be featuring a number of cutting edge researchers, including jimi adams, James Moody, Craig Rawlings, Brea Perry, Ashton Verdure, Peter Mucha, Kieran Lele, Gabriel Varela, Dana Pasquale, Scott Duxbury, David Schaefer, Carter Butts, Sam Jenners (CSDE External Affiliate and CSDE Alum!), Alex Volfovsky, Thomas Wolff, Peter Cho and Jessilyn Dunn. The topics covered include ABM, EpiModel, Statistics on Networks, Latent Spaces and Causal Effects, Network Interventions, CHAMP, Implications of missing data, etc. This will be a rich set of resources.
The Annual Social Networks & Health workshop is live next week! Looking forward to seeing many of you there.
The schedule is attached; unfortunately registration has closed for the in-person event. BUT! We are pleased to announce that we are able to live-stream the workshop this year for those who would like to “attend” remotely.
The links for the live-stream are below:
Day 1: https://youtube.com/live/sfE7bv_lPhY?feature=share
Day 2: https://youtube.com/live/eXbC-TDMft0?feature=share
Day 3: https://youtube.com/live/-GrZec2O7Ho?feature=share
Day 4: https://youtube.com/live/G8yCzLKBSjQ?feature=share
Day 5: https://youtube.com/live/tavUs5ci1cU?feature=share
Chat/Q&A for remote participation will be limited – but we’ll do our best.
For anyone local (participating in the workshop or not), please join us Tuesday evening for a NC BBQ on the deck of Gross Hall. 6:30 – 8:30.
On June 12, 2023 @5am, the International Union for the Scientific Study of Population (IUSSP) is hosting a webinar to discuss a recent report of the IUSSP-CODATA Working Group on FAIR Vocabularies in Population Research. The working group is proposing to build a new system for finding, integrating, and harmonizing data in the field of population research. The first step is to create a dictionary for creating metadata categories for datasets. George Alter (University of Michigan), Abdullah Gozalov (United Nations Statistics Division), and Steven McEachern (Australian Data Archive, Australia National University).
IUSSP and CODATA co-sponsored a working group to study how population research can benefit from the rapidly developing standards and technologies associated with the FAIR principles that all data should be “Findable, Accessible, Interoperable, and Reusable” by both humans and machines (Wilkinson et al., 2016).
Demography is an empirically focused field with a long tradition of widely shared, easily accessible, data collections. FAIR vocabularies, which allow machines to associate data with concepts, can save researchers hours of tedious work by automating processes of data discovery and harmonization. The report introduces readers to international standards for documenting data (metadata) that underlie international infrastructures for producing and disseminating demographic data, and it recommends enhancing these services through application of the FAIR principles. The report builds on the “Ten Simple Rules for making a vocabulary FAIR” (Cox et al., 2021), prepared by a group formed at a workshop convened by CODATA and DDI to describe how a FAIR vocabulary will work with international standards for documenting and sharing social science data.
The working group calls for IUSSP to create a FAIR Vocabulary of Demography. Online vocabularies including demographic terms already exist, and most of them define key terms in ways incompatible with demography. Population research will be at a disadvantage without an authoritative FAIR vocabulary of its own. Fortunately, a new FAIR Vocabulary of Demography can build upon IUSSP’s long history of support for dictionaries of demography in multiple languages.
Speakers:
- George Alter, University of Michigan
- Abdulla Gozalov, United Nations Statistics Division
- Steven McEachern, Australian Data Archive, Autralian National University
On May 17 from 3-4pm Brad Foster, a Senior Sociologist in the Census Bureau’s Center for Economic Studies, earned his Ph.D. from the UW Sociology department and is an alumnus of the CSDE training and fellowship program will join CDWG to discuss measuring migration with linked Census Bureau and administrative records. Brad will provide an overview of ongoing efforts at the Census Bureau to leverage administrative records — in combination with decennial and survey data — to improve measures of migration, track short- and long-term migration trends, gauge the accuracy of survey migration responses, and understand how migration and residential mobility may contribute to declining survey response rates.
On May 17 from 3-4pm Brad Foster, a Senior Sociologist in the Census Bureau’s Center for Economic Studies, earned his Ph.D. from the UW Sociology department and is an alumnus of the CSDE training and fellowship program will join CDWG to discuss measuring migration with linked Census Bureau and administrative records. Brad will provide an overview of ongoing efforts at the Census Bureau to leverage administrative records — in combination with decennial and survey data — to improve measures of migration, track short- and long-term migration trends, gauge the accuracy of survey migration responses, and understand how migration and residential mobility may contribute to declining survey response rates.
Graduate Research Assistant
Quarters: Summer and Fall 2023 (Summer employment may be hourly or half-time [50% FTE] full-term)
Unit: Center for Studies in Demography and Ecology
Application Deadline: May 26, 2023, or until the position is filled
Project PI: Jeanie Santaularia (njsanta@uw.edu)
We seek a graduate research assistant to join our research team to examine the impact of the Dobbs decision on family violence in US Google search data using a natural experiment that takes advantage of both the timing of the national-level Dobbs decision and the variation in abortion restrictions by states following the decision.
The largest responsibility of the RA will involve performing a literature review and assisting in writing papers, however, analysis of data in R may also be required. A more detailed list of responsibilities includes:
General Research Assistant duties:
- Attending project team meetings
- Managing and responding to project-related email
- Supporting development of community partnerships
- Working with project partners to obtain the research data
- Checking and cleaning the data
- Safeguarding the confidentiality of the data
- Creating descriptive summaries of the data, numerically and graphically
- Conducting statistical analyses of the data using R
- Conducting literature reviews for the project
- Contributing to the writing of one or more journal manuscripts related to the project
- Other duties related to the project as determined by the research team
Requirements:
- Experience with R, especially for data management, descriptive statistics and basic inferential statistics
- Interest in reproductive health and rights
- Ability to work and thrive in a collaborative team environment
- Familiarity with Excel and Word
- Strong communication and writing skills
- Demonstrated ability to work independently as well as collaboratively
Preferred
- Prior knowledge and/or experience in reproductive health and rights and violence
- Familiarity with Git and Github
- Familiarity with more advanced statistical methods (DID, bias analysis, interrupted-time-series)
- Familiarity with Python