This is an opportunity for undergraduate students to help guide an National Science Foundation (NSF) IUSE project! This part-time position for work-study eligible students starts at $18/hr for up to 5hrs/week. Undergraduate students will serve on the project’s advisory board meetings biweekly and conduct informational outreach to peers. Board members are encouraged to engage in critical dialogue about student experience and research as the team completes this multi-year project.
Interested Berkeley undergraduate students should submit this application by October 27, 2023. Interviews will be held in Early-Mid November.
Data Science students and candidates in their sophomore and junior years from diverse or underrepresented backgrounds are encouraged to apply.
Introduction to Item Response Theory
by Mingfeng Xue
Measurements (e.g., tests, surveys, questionnaires) are inevitably involved with various sources of errors. Among many psychometric theories, item response theory stands out for its capability of detailed analyses at the item level and its potential to reduce some of the measurement errors. This post first discussed the limitations of conventional summation and average, which give rise to the IRT models, and then introduced a basic form of the Rasch model, including expressions of the model, the assumptions underlying it, some of its advantages, and software packages. Some codes are also provided.
The Berkeley Institute for Young Americans, a research center at the Goldman School of Public Policy, is hiring a GSR for Spring 2024 to analyze data and write-up results for a forthcoming "2024 Election Center" section of our website. The GSR will focus broadly on several longitudinal datasets relevant to the political engagement of different generations with a focus on young adults, helping to clean, assemble, and analyze these data and produce descriptive figures and narrative.
We will review applications on a rolling basis, so apply early for best consideration.
Responsibilities:
Collect, assemble, clean, and code quantitative data
Analyze quantitative data and produce charts, tables, graphs, and maps
Contact government agencies and other organizations to request data
The Center for Effective Global Action (CEGA) at UC Berkeley is recruiting for a Research Manager to support the Center’s growing portfolio of research on political economy, governance, conflict, security, and related topics. This is an exciting opportunity for a motivated and organized self-starter eager to contribute to the success of a dynamic research organization while expanding their networks and positioning themselves for future career growth. The role will report to the Executive Director and Professor Fred Finan.
Requirements:
[Preferred] MA/MS in Economics, Political Science, Public Policy, Policy Analysis, Business, International Relations, Public Health or related field;
Coursework in quantitative research methods, including mathematical statistics, econometrics, and microeconomics;
Strong ability to research, analyze, and synthesize large amounts of data for preparing high-quality proposals and reports;
Strong interpersonal skills in working with colleagues at all levels
UC Berkeley Datahub is hiring! They are seeking a student intern to be a front-end developer as part of the Datahub team. The student employee will be responsible for providing support to the Datahub service affiliated with UC Berkeley's Research, Teaching, and Learning (RTL) and Data Science Undergraduate Studies (DSUS). This role will primarily involve two key areas of focus: assisting in the development and maintenance of the nbgitpuller browser extension and handling data retrieval requests from students.
Requirements:
Experience with hands-on software development or software engineering beyond coursework.
Strong proficiency in HTML, CSS, and JavaScript, with a solid understanding of web standards and best practices.
Familiarity with version control systems, especially Git.
Excellent communication skills, both verbal and written, with the ability to convey technical information to non-technical stakeholders.
We’re inviting top PhD students all over the world to compete at the Global PhD Datathon this November. Top performing students have the opportunity to win $25,000USD in cash prizes along with exclusive recruiting opportunities with Citadel.
The Datathon challenges students from the world's best universities to tackle real-world social challenges in topics such as urban traffic, renewable energy, and education. PhD Datathon is a global data science competition, even bigger and more exciting than our university-wide events!
This Datathon is virtual, and participants will be able to work on their submissions individually anytime during the week to accommodate their schedules.
When: November 6-13
Who: Current Ph.D. students and post-doc researchers
Prizes: $25,000USD + Exclusive recruiting opportunities with Citadel & Citadel Securities
Admissions are made on a rolling basis, so we encourage you to complete your application now!
If you have any questions, please reach out to competitions@correlation-one.com.
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