Paid Undergraduate Positions at the D-Lab
Become a UTech for the D-Lab Frontdesk!
D-Lab is hiring undergraduate students for Spring 2023. We need you if: you are service- and detail-oriented; you are a student who is interested in helping students; you like to be asked questions and look for answers. The UTech role serves as a first point of contact for the wider campus community for accessing D-Lab services which support data, data science, workshops, consulting, and research.
Interested UC Berkeley undergraduate students should apply here by Sunday, January 15, 2023.
- D-Lab Workshops -
Spring 2023 Workshops
Workshop Intensives
The D-Lab Workshop Intensives are a version of our workshops offered at the start of the semester before instruction begins, occurring on consecutive days in a single week, rather than spread out. We will also offer these same intensives again in RRR week before finals week in May.
The Discovery Research Program aims to incubate and accelerate research in academia, non-profit, government, and industry initiatives by connecting them with undergraduate research teams along with technical consulting support. The Discovery Program encourages applicants from all research/technical skill levels, majors, backgrounds, and aptitudes. The scope of our program covers a diverse set of application-domain focused projects.
Jointly run by BIDS, D-Lab and Data Science Undergraduate Studies, this Fellowships for graduate students from diverse domain areas and with a data science background. For 2023, we are particularly interested in graduate students with backgrounds in engineering, physical sciences, or industry. Fellows will work closely with staff from the D-Lab, BIDS, and the Data Science Undergraduate Studies.
The Discovery Fellows will be on-boarded during a training period and receive mentorship by staff and by Senior Data Science Fellows. They will work closely with staff to coordinate and provide support for a portfolio of Discovery projects and provide mentorship to undergraduate student teams. The role requires a high degree of coordination across individuals and groups. A $4,500 stipend is offered per semester.
Contact ds-discovery@berkeley.edu with any questions; the deadline to apply is 12/31/2022, but applications will be reviewed on a rolling basis until filled.
Call for Abstracts: 2023 BITSS Annual Meeting
March 3, 2023
UC Berkeley & Virtually
The Berkeley Initiative for Transparency in the Social Sciences (BITSS) Annual Meetingbrings together actors from academia and research, scholarly publishing, and policy to share knowledge and discuss efforts to advance transparency, reproducibility, credibility, ethics, and inclusion in science. The event will be all day and held in-person on Friday, March 3, 2023 at UC Berkeley, with an option to participate virtually.
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.
Call for Abstracts: Psychology and Economics of Poverty Convening 2023
April 14, 2023
UC Berkeley & Virtually
On April 14th, 2023, the Center for Effective Global Action (CEGA)’s fifth annual Psychology and Economics of Poverty (PEP) Convening will bring researchers, implementing partners, and policymakers together to share original work in this space. This event will take place in person at UC Berkeley. Participants may have an option to join virtually (to be confirmed).
A growing body of research is revealing new insights into the psychological consequences of poverty and its potential impacts on social and economic development. Through collaborations across psychology, economics, and other disciplines, this work is producing evidence with the potential to shape programs and policies designed to improve lives and promote well-being.
Postdoctoral Scholar - Division of Environmental Health Sciences
The Division of Environmental Health Sciences in the School of Public Health at the University of California, Berkeley seeks applications for a Postdoctoral Scholar-Employee, in the area of air pollution exposure modeling and environmental health study.
Through funding by the California Air Resources Board (CARB), the postdoc would join an exciting UC Berkeley research team to develop daily land use regression (LUR) models through advanced machine learning approaches and generate daily high spatial resolution air pollution surfaces across California for criteria pollutants (NO2, PM2.5, and O3) and air toxics (benzene, 1,3-butadiene, chromium, inorganic lead, metallic and inorganic nickel, and zinc) for the years 1990-2019. Daily land-use regression models will be developed through incorporating a comprehensive data source including remote sensing data, land use, and land cover data, daily traffic and meteorological conditions, criteria air pollutants, and air toxics data.
The Center for Effective Global Action (CEGA) has two positions available to support a study, as part of the center’s larger transparency research agenda. The primary goal is to evaluate the impact of reporting guidelines and resource incentives on reporting practices and publication outcomes of pre-registered research projects in economics and political science, and to ultimately improve the transparency and reproducibility of social science research.
The positions will work closely with CEGA Faculty Co-Director Edward Miguel, Staff Scientist Fernando Hoces de la Guardia, and other CEGA staff to support project management of the study and contribute to data collection, management and analysis. The project will begin in 2023 and the positions will work to support the testing and implementation of reporting guidelines, the development of statistical models and analyses using Stata, R and other software packages, and will support the publishing of the resulting findings and research materials.
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!
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