Project Folder Request Listing

This project is on the broad reach and burden of monetary sanctions. We know how monetary sanctions affect individual debtors and even their families, but how much does the system of monetary sanctions affect family and communities? The second aim of our research is to investigate alternative legal system reforms. What could “justice” look like through reform?

The Collective to Study the Broad Reach and Burden of Monetary Sanctions is a multi-state, multi-institutional research project on the consequence and inequalities generated by the system of monetary sanctions.

We are analyzing census data, nonprofit expenditure data, and mobility data from Opportunity Insights to understand the spatial context of "high" versus "low" mobility places.

The project includes a series of simulation studies to compare several models which evaluate the possession status of misconceptions.

A project where we will store cortisol data and other datasets for Qom cortisol project

Using Safegraph, Earnest, and other data sources to understand the relationship between COVID-19, restaurant stock, government policy, and restaurant delivery company growth.

This is part of a study of HIV in Kenya. It is looking at genetic influences on fasting blood sugar and ESR.

Delaney Glass (Ph.D. Student) and Dr. Melanie Martin will be collaborating with Dr. Catherine Panter-Brick and Dr. Rana Dajani to transfer previously collected data and archived dried blood spot (DBS) samples to UW. The samples will be be stored in the CSDE biodemography lab and the previously collected data as well as other project documents will be stored in this folder. While the project is not currently funded, Delaney will be applying for dissertation funding to analyze the archived DBS samples.

This project will look at the geographical distribution of low-wage workers in Seattle over the period of the $15 minimum wage implementation. It is part of the 2021 eScience Data Science for Social Good project, more information at
https://escience.washington.edu/2021-data-science-for-social-good-projects/

This project folder will only be for non-restricted data and team resources. The team will also be using the UWDC enclave.

This is a UC Berkeley project that analyzes evictions, residential displacement, unemployment, and COVID at the tract level. Along with other datasets, we will store infogroup data purchased by UC Berkeley, completely separate from the UW’s data center data. We’d like to have this folder on Linux and it should NOT be backed up. Also, Alex Ramiller (NET ID aramille) should be allowed access to this folder but I’m getting an error above saying he doesn’t have an account. Would it be possible to add him as well? Thank you!

The folder will hold data from the Indian HumanDevelopment Survey. This is non-restricted data, publicly accessible for download on the internet. This will be used by my class JSIS 595 Introduction to Quantitative Methods. Once they get CSDE accounts, I'd like my students to have access to this folder; the following 6 netids:

jchinana,huijiang,sk112,fjkuzmin,yasirz,danwezhu

Thanks!

Oral health research

In this project we examine the use of analogies and comparisons between air pollution and climate change in newspaper articles (in the U.S. elite press, initially) to test a small set of hypotheses regarding how climate change and air pollution have been discussed and explained in relation to one another over the past decade. We hypothesize that climate change is analogized to air pollution, and that this has increased over the past decade. We also hypothesize that treatment of climate change and air pollution as synonyms has increased over the past decade. The study entails conducting content analysis of a random sample of newspaper articles from the elite press (initially the NYT over the past decade) that mention climate change and air pollution, using NVivo. The design draws on concepts and methods from Kevin Dunbar’s work on analogical use and conceptual change in human thinking, as well as mental models research suggesting that the hypothesized analogizing and treatment of air pollution and climate change as synonyms is prevalent among non-experts and is associated with climate change mitigation misconceptions and policy preferences.

Please put the folder in my project folder (thank you!): [R:\Project\Bostrom\C3AP]