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- D-Lab Events -

Digital Humanities Working Group
D-Lab

Calling all digital humanities enthusiasts! We're excited to announce the return of our Digital Humanities Working Group! If you're interested in giving a lightning talk or workshopping your research, please sign up here.

The UC Berkeley Digital Humanities Working Group is a research community founded to facilitate interdisciplinary conversations in the digital humanities and cultural analytics. Our gatherings are participant driven and provide a place for sharing research ideas (including brainstorming new ideas and receiving feedback from others), learning about the intersection of computational methods and humanistic inquiry, and connecting with others working in this space at Berkeley. We encourage everyone to participate, regardless of your experience level. The DH Working Group is a welcoming and supportive community for all things digital humanities.

Last Tuesday of most months!

  • November 28, 12:30pm-1:30pm
  • January 30, 12:30pm-1:30pm
  • February 27, 12:30pm-1:30pm
  • March 26, 12:30pm-1:30pm
  • April 30, 12:30pm-1:30pm
Location: D-Lab, 356 Social Sciences Building, or join us via Zoom!

Learn more and sign-up here!
- D-Lab Blog Posts -


María Martín López
D-Lab Data Science Fellow


Artificial Intelligence and the Mental Health Space: Current Failures and Future Directions
by María Martín López

María Martín López, a PhD student in the department of psychology whose research focuses on large language models within the context of mental illness, gives an overview of current failures and possible future directions of NLP models in the mental health space. She brings up questions that must be considered by all researchers working in this space and encourages these individuals to think creatively about the use of AI beyond direct treatment.

Read more here!
- D-Lab Workshops -

November

Python Programming

Python Web Scraping
Nov 2 | 2pm-4pm | Register here for Zoom link

Python Machine Learning Fundamentals: Parts 1-2
Nov 7, 9 | 9am-12pm | Register here for Zoom link

Python Deep Learning: Parts 1-2
Nov 13, 15 | 2pm-5pm | Register here for Zoom link

R Programming

R Geospatial Fundamentals: Vector Data, Parts 1-2
Nov 7, 9 | 9am-12pm | Register here for Zoom link

R Data Wrangling and Manipulation: Parts 1-2
Nov 7, 14 | 2pm-5pm | Register here for Zoom link

R Data Visualization
Nov 20 | 9am-12pm | Register here for Zoom link



More workshops on our website!

- Opportunities on Campus -

Graduate Student Researcher - Spring 2024
Berkeley Institute for Young Americans

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
  • Meet with the research team on a weekly basis.

If you have any questions, please email youngamericans@berkeley.edu.

Learn more and apply here!
 


CEGA Research Manager
UC Berkeley CEGA

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

Learn more and apply here!
 


Datahub Student Intern
UC Berkeley Datahub

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.

If you have any questions, please email Balaji Alwar at balajialwar@berkeley.edu.

Learn more and apply here!

- Upcoming Events -

ICSI Usable Security & Privacy Group Seminar
International Computer Science Institute

Title: How the National Internet Observatory can support your (privacy) research
Speaker: Álvaro Feal, a Senior Research Scientist researcher at Northeastern University.

Abstract: The National Internet Observatory (NIO) is an NSF-funded Midscale infrastructure project at Northeastern University that aims to help researchers understand how people behave online and how platforms structure what people see.

To that end, the NIO works in two steps:

  1. ethically collecting data from participants about their online experience,
  2. safely making this data available for analysis to qualified researchers.

Álvaro Feal will provide an overview of the types of data that the NIO currently collects, and how this can be leveraged by researchers to enable (privacy) research.

Location: 2150 Shattuck Ave, Suite 250, Berkeley, CA 94704
Date/Time: Tuesday, November 14, 2023 @ 3pm PT

Refreshments will be served after the talk. Please RSVP in advance so we make sure to provide enough food and beverages for everyone.

RSVP here!
 


Global PhD Datathon
Hosted by Citadel & Correlation One

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.

Sign up 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!

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