Python Fundamentals Pilot: Parts 1-3
Feb 28, Mar 2, 7 | 2:00pm-4:00pm
Join us for the pilot of our newly updated Python Fundamentals workshop. This has been one of our most popular workshops and we have responded to feedback and suggestions to update a variety of aspects of the workshop: length, priorities, the style of the notebooks, and so on. Our goal was to make this new workshop even more friendly for beginners.
Thank you to all past participants for your amazing feedback on our Fundamentals series, and thanks also to our wonderful community of educators who have helped us improve it. We hope to see you there!
This pilot is the first time we are delivering these new materials so we plan to reserve some time towards the end of each part to gather feedback from you.
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.
University Development and Alumni Relations (UDAR)
Hiring an Assistant Director
University Development and Alumni Relations is seeking a technical leader with a high degree of knowledge in predictive analytics to support fundraising efforts of the campus. This position applies extensive knowledge of data mining, descriptive, and predictive statistical modeling strategies to segment, analyze, and rank prospect pools, and to answer specific business questions that create fundraising efficiencies and improve fundraising effectiveness. Build and evaluates tools, technologies, and data sources.
Berkeley Institute of Governmental Studies (IGS) Poll
Seeks Candidates for Two Open Positions
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 and requires substantial familiarity with R, along with a background in statistics. 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.
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
Senior Computational & Data Science Research Specialist: 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.
Research Data Analyst: 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.
Delft University of Technology
PhD position in Designing Digital Health for Social Justice
Located in the Netherlands, the candidate will work on designing digital health for social justice, working closely with Dr. Caroline Figueroa and Dr.ir. Mark de Reuver. Your work will be supported by a scientific programmer and data steward.
Most digital tools for mental wellbeing and physical health are not designed for and with vulnerable populations, such as people from ethnic and gender minority backgrounds and low-income individuals. These individuals often have worse health. If issues related to lower access to technology, poor usability in app design, and biases in machine learning algorithms and are not addressed, health inequities will increase rather than decrease.
Call for Student Posters: Women in Data Science Berkeley
On Campus, March 7
Women in Data Science (WiDS) is a global community that hosts an annual conference, and since 2016, UC Berkeley has hosted its own WiDS event. As part of this year's conference, we want to highlight the exceptional data science work completed by students at UC Berkeley. On Tuesday March 7, we will host a poster session during an extended lunch to showcase completed and/or in progress data science projects led by UC Berkeley students. If you are interested in presenting a poster, please provide your name, project title, and a brief project summary below to be considered.
HTML /CSS Toolkit for Digital Projects
May 3 | 2:10pm-3:30pm | Register here.
- External Events -
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.
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.
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
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