Among less-educated young workers, women and Black men are paid far less
by Edward Lempinen,
featuring Byeongdon Oh
"Less-educated U.S. workers often face a lifetime of financial challenges, but some among them are more disadvantaged than others: Young Asian and white men without college education are paid more — sometimes far more — than both Black men and women of all racial groups, according to a new study co-authored at UC Berkeley.
The study led by Byeongdon Oh, a postdoctoral researcher in the campus’ Social Sciences D-Lab, found that young Black men with no college education earn barely half of what their Asian American and white counterparts make. Latinx, Asian and Black women lag even further."
The Data Science Discovery Program Spring 2023
Still Accepting Applications
As the largest undergraduate data science research program in the United States, the Data Science Discovery Program connects undergraduates with hands-on, team-based opportunities to contribute to more than 130 cutting-edge data research projects with on and off-campus partners. We help you gain relevant research experience and skills while forming a network with industry and academic partners.
Our partner cohort includes: LBNL, UCSF, San Francisco Fire Department, American Heart Association, Haas School of Business, EPIC Data Lab, BART, IBM, Merck, Honda, United Nations, DEVCOM Army Research Laboratory, Regeneron Pharmaceuticals, Square, The Eviction Research Network, and many more! A full list of partners and application links to their projects can be found here. If you want to work on research projects that will have an impact on the world around you, be sure to apply by the deadlines below!
Read more and apply here by January 30, 2023
or email ds-discovery@berkeley.edu with any questions.
- Campus Job Opportunities -
The Center for Effective Global Action (CEGA)
is Hiring a Research Intern
CEGA seeks a part-time student (graduate or undergraduate) intern to support a meta-evaluation of open-innovation prize competitions that have been completed over the past 5-10 years. The primary role for the intern is to assist in the development of a quantitative data set that will be used for the purposes of evaluation when completed. The internship will last through the spring semester and may be extended into summer pending intern interest and available funding. The intern will join weekly meetings with the prize competition evaluation team led by CEGA Staff Scientist Liz Brown to coordinate the work. They will be expected to join weekly CEGA staff meetings and other CEGA events as appropriate.
Berkeley Institute of Governmental Studies (IGS) Poll
Seeks Candidates for Two Open Positions
The Berkeley IGS Poll is a periodic survey of California public opinion on important matters of politics, public policy, and public issues under the Institute of Governmental Studies. The poll, which is disseminated widely, seeks to provide a broad measure of contemporary public opinion, and to generate data for subsequent scholarly analysis.
Data Analyst
This position involves applying a weighting algorithm in R so that the sample of registered voters matches the population of registered voters statewide. This requires substantial familiarity with R, along with a background in statistics. The researcher will use a variety of data sources (such as the Current Population Survey) to refine the existing weighting targets (and to develop new targets as necessary, such as for specialized polls that require representativeness at the city or other level).
The researcher will be needed to assist on approximately 4-5 polls per year, starting in May 2023. It is expected that each poll will require roughly 25-45 hours of work. The researcher will know the dates of each poll roughly one month in advance, but the work will then be concentrated in a tight time frame surrounding the poll's release.
Please send a CV and cover letter to ctrost@berkeley.edu.
Programmer & Data Manager
In this position, the programmer and data manager will: monitor the receipt of sample listings or registered voters and putting together counts by demographics to check that the correct listings were received; create email lists from the sample listings that are compatible with Qualtrics; transcribe and program the survey into Qualtrics (both an English and a Spanish version); distribute the poll through the Qualtrics’ email feature and send two subsequent reminder emails; record response counts each day of data collection; clean the data using R; calculate response rates by demographics; and draw a winner for the raffle used as a participation incentive and notify IGS Admin Manager of the result.
Please send a CV and cover letter to ctrost@berkeley.edu.
Two Open Positions with the Forum for Collaborative Research
in the School of Public Health
The Forum, located in Washington, DC, is a multi-stakeholder initiative focused on advancing the regulatory sciences for the treatment of complex diseases -- NAFLD/NASH, PSC, liver fibrosis, HBV, HIV, TAVI, and Ocular Diseases. The Forum brings together experts in transplantation medicine, infectious diseases, virology, immunology, and diagnostics from academia, regulatory agencies, industry, and professional societies to discuss, deliberate, and generate consensus on issues such as disease definitions, standardization of diagnostic approaches, and clinical trial design.
Senior Computational & Data Science
Research Specialist
As the Forum’s lead data scientist, this position will develop novel statistical methods and analyses for use in biomedical and public health projects. The Center provides a curated repository of clinical data and an innovative set of analytical tools to facilitate answering critical questions of drug safety and efficacy in novel cost-effective ways that will reduce time and cost of drug evaluation while maintaining or enhancing the scientific basis of that evaluation. The Center also works to translate and disseminate new knowledge through convening opportunities to discuss “Innovation in Data Use and Analysis” for Forum stakeholders including, academia, regulatory agencies, industry, patient organizations, and professional societies to share lessons learned and provide opportunities for cross-comparison of analytic approaches and a framework for training in novel analytic approaches in a disease specific context.
The Research Data Analyst will work in close collaboration with Forum stakeholders and staff and also with other units at Berkeley to design, build, test and run mathematical models for the evaluation of projects that aim at accelerating the regulatory path for the development of new therapeutics. Responsibilities include literature review, statistical model development, parameter estimation, data manipulation, analysis and interpretation of results, manuscript preparation and presentation and dissemination of results.
University of Washington Summer Program:
2023 Data Science for Social Good
June 12 - August 18
You are invited to apply for an opportunity to work closely with data science professionals and students to make better use of your data. The University of Washington Data Science for Social Good summer program at the eScience Institute brings together data scientists and domain researchers to work on focused, collaborative projects for societal benefit.
The program supports compelling, timely, publicly-relevant projects that are poised to take advantage of tremendous student and professional technical talent and computation resources. If you have an idea for a project that could benefit from access to a team of motivated students, exposure to new data-intensive methods, and guidance in best practices for software development, reproducible science, and human-centered design, then we would love to hear from you.
BITSS Workshop: Forecasting in the Social Sciences
March 2, 2023
Led by Stefano DellaVigna (UC Berkeley) and Eva Vivalt (Australian National University), the 2023 workshop will bring together leaders from across academic disciplines to present new research findings, share knowledge, and continue charting a path forward for prediction in the social sciences. The Social Science Prediction Platform, which has over 4,500 completed forecasting surveys for over 50 projects, is facilitating the collection and cataloging of forecasts for the broader research community.
Stay tuned for more information, as well as a Call for Papers to present your work at the Forecasting Workshop!
Contact Grace Han at grace.han24@berkeley.edu with any questions about this event.
- XLab for Social Science Research -
The eXperimental social
science Laboratory (XLab)
Xlab supports UC Berkeley’s world class research by providing resources such as access to participant pools, experiment coordination, payment support, access to softwares, grants, and more. It also provides technical and administrative support. For more information about Xlab, click here!
Support D-Lab
Join our community of donors by making a gift to D-Lab. Contributions of any size will support free, inclusive workshops and resources for the UC Berkeley community. Give today!
