Copy
- D-Lab Community Message -

Dear D-Lab Community,

Thank you for your kind and heartfelt messages in reply to our community message that went out yesterday. As always, we appreciate your feedback as we reflect and display our community's values.

With gratitude,
D-Lab Staff

- D-Lab Workshops -

Spring 2023 Workshops

We are in the process of planning D-Lab workshops for the Spring 2023 semester. Please check out the next newsletter and our website for the latest updates!


Fall 2022 Workshop Recordings

In the meantime, to support your learning over the winter break, we are providing the full list of our Fall workshop recordings below. A workshop may be listed multiple times so you can re-watch the exact one that you attended or watch another one from a different day or with a different instructor.

NOTE: Due to the length of this week's newsletter you may wish you view the full list and complete newsletter using this link: https://dlab.berkeley.edu/newsletter-videos-dec-2022

             
 
Python Workshop Recordings
 
Python Data Wrangling and Manipulation with Pandas
 
  Sep 28 Part 1 video feedback materials Ann Scheliga
 
Python Data Wrangling and Manipulation with Pandas
 
  Oct 24 Part 1 video feedback materials Ann Scheliga
 
Python Deep Learning: Parts 1-2
 
  Oct 17 Part 1 video feedback materials Sean Perez
 
  Oct 19 Part 2 video feedback materials Sean Perez
 
Python Geospatial Data and Mapping: Parts 1-2
 
  Nov 8 Part 1 video feedback materials Pratik Sachdeva
 
  Nov 10 Part 2 video feedback materials Pratik Sachdeva
 
Python Machine Learning Fundamentals: Parts 1-2
 
Oct 4 Part 1 video feedback materials Renata Barreto
 
Oct 6 Part 2 video feedback materials Renata Barreto
 
Python Text Analysis Fundamentals, Parts 1-2
 
  Nov 1 Part 1 video feedback materials Emily Grabowski
 
  Nov 3 Part 2 video feedback materials Emily Grabowski
 
Python Visualization
 
  Oct 5 Part 1 video feedback materials Mingyu Yuan
 
Python Visualization
 
  Oct 26 Part 1 video feedback materials Mingyu Yuan
 
Python Web Scraping & APIs
 
  Nov 2 Part 1 video feedback materials Tom van Nuenen
 
Python Fundamentals: Parts 1-4
 
  Aug 15 Part 1 video feedback materials Renata Barreto
 
  Aug 16 Part 2 video feedback materials Renata Barreto
 
  Aug 17 Part 3 video feedback materials Emily Grabowski
 
  Aug 18 Part 4 video feedback materials Emily Grabowski
 
Python Fundamentals: Parts 1-4
 
  Sep 12 Part 1 video feedback materials Emily Grabowski
 
  Sep 14 Part 2 video feedback materials Kelly Quinn
 
  Sep 19 Part 3 video feedback materials Kelly Quinn
 
  Sep 21 Part 4 video feedback materials Emily Grabowski
 
Python Fundamentals: Parts 1-4
 
  Oct 11 Part 1 video feedback materials Meiqing Li
 
  Oct 13 Part 2 video feedback materials Meiqing Li
 
  Oct 18 Part 3 video feedback materials Emily Grabowski
 
  Oct 20 Part 4 video feedback materials Emily Grabowski
 
Python Fundamentals: Parts 1-2
 
  Nov 7 Part 1 video feedback materials Angela Liu
 
  Nov 9 Part 2 video feedback materials Angela Liu
 
Python Fundamentals: Parts 1-2
 
  Dec 5 Part 1 video feedback materials Tom van Nuenen
 
  Dec 6 Part 2 video feedback materials Tom van Nuenen
 
 
R Workshop Recordings
 
R Data Visualization
 
Sep 19 Part 1 video feedback materials Jose Aveldanes
 
R Data Visualization
 
Oct 11 Part 1 video feedback materials Amy Van Scoyoc
 
R Data Visualization
 
  Nov 7 Part 1 video feedback materials Meiqing Li
 
R Data Wrangling and Manipulation: Parts 1-2
 
  Sep 12 Part 1 video feedback materials Sean Perez
 
  Sep 14 Part 2 video feedback materials Sean Perez
 
R Data Wrangling and Manipulation: Parts 1-2
 
  Oct 4 Part 1 video feedback materials Sean Perez
 
  Oct 6 Part 2 video feedback materials Sean Perez
 
R Data Wrangling and Manipulation: Parts 1-2
 
  Nov 1 Part 1 video feedback materials Millie Chapman
 
  Nov 3 Part 2 video feedback materials Millie Chapman
 
R Machine Learning with tidymodels: Parts 1-2
 
  Nov 29 Part 1 video feedback materials Pratik Sachdeva
 
  Dec 1 Part 2 video feedback materials Pratik Sachdeva
 
R Fundamentals: Parts 1-4
 
  Aug 15 Part 1 video feedback materials Alex Stephenson
 
  Aug 16 Part 2 video feedback materials Alex Stephenson
 
  Aug 17 Part 3 video feedback materials Sean Perez
 
  Aug 18 Part 4 video feedback materials Sean Perez
 
R Fundamentals: Parts 1-4
 
  Sep 20 Part 1 video feedback materials Sean Perez
 
  Sep 22 Part 2 video feedback materials Sean Perez
 
  Sep 27 Part 3 video feedback materials Sean Perez
 
  Sep 29 Part 4 video feedback materials Sean Perez
 
R Fundamentals: Parts 1-4
 
  Oct 3 Part 1 video feedback materials Soliver Fusi
 
  Oct 5 Part 2 video feedback materials Soliver Fusi
 
  Oct 10 Part 3 video feedback materials Sean Perez
 
  Oct 12 Part 4 video feedback materials Sean Perez
 
R Fundamentals: Parts 1-4
 
  Oct 18 Part 1 video feedback materials Kelly Quinn
 
  Oct 20 Part 2 video feedback materials Kelly Quinn
 
  Oct 25 Part 3 video feedback materials Leena Bhai
 
  Oct 27 Part 4 video feedback materials Leena Bhai
 
 
Other Workshop Recordings
 
Bash + Git: Introduction
 
  Oct 19 Part 1 video feedback materials Tom van Nuenen
 
Excel Data Analysis: Introduction
 
  Sep 7 Part 1 video feedback materials Ann Scheliga
 
Excel Data Analysis: Charts, Pivot Tables, and VLOOKUP
 
  Sep 14 Part 1 video feedback materials Ann Scheliga
 
Finding Health Statistics and Data
 
  Nov 2 Part 1 video feedback materials Michael Sholinbeck
 
Institutional Review Board (IRB) Fundamentals
 
  Nov 7 Part 1 video feedback materials Vanessa Navarro Rodriguez
 
Qualtrics Fundamentals
 
  Oct 19 Part 1 video feedback materials Madeleine Parker
 
Stata Fundamentals: Parts 1-3
 
  Aug 15 Part 1 video feedback materials Jose Aveldanes
 
  Aug 16 Part 2 video feedback materials Jose Aveldanes
 
  Aug 17 Part 3 video feedback materials Jose Aveldanes
 
Stata Fundamentals: Parts 1-3
 
  Oct 26 Part 1 video feedback materials Jose Aveldanes
 
  Oct 31 Part 2 video feedback materials Renee Starowicz
 
  Nov 2 Part 3 video feedback materials Daniel Tan
- Berkeley FSRDC Updates -

Berkeley Federal Statistical Research Data Center (FSRDC)

Standard Application Process Now Live
The federal statistical system has adopted a standard application process (SAP) for applying for access to confidential data assets from the nation’s statistical agencies. The SAP marks an important milestone for the federal statistical system. For the first time, primary statistical agencies and units have coordinated and agreed to use the same application for access to their restricted-use data assets. 

This is now the primary method through which researchers will submit new proposals to access FSRDC restricted-use data. We recommend working closely with our local Admin, Angela Andrus, on your proposal prior to submission. Science highlights how this process will impact access.

- Data Science Updates -

Call for Discovery Graduate Fellows

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. Check out https://data.berkeley.edu/discovery/projects for examples.

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. 


Apply here by December 31, 2022.


Data Science Education Podcast
Season 4, Episode 8

Increasing Equitable Access to Data Science Education for K-12 Students
In this final episode of season 4, we’re speaking with Zarek Drozda, the director of Data Science 4 Everyone, a coalition created by the University of Chicago Center for Radical Innovation for Social Change, aimed at increasing equitable access to data science education for K-12 students. Today, he shares how the coalition is assisting high school educators in bringing data science to their schools, some of the national initiatives going on that are bringing data science to K-12, and how to get involved.

Listen here.

- Conferences and Meetups on Campus -


Call for Abstracts: 2023 BITSS Annual Meeting
March 3, 2023
UC Berkeley & Virtually

The Berkeley Initiative for Transparency in the Social Sciences (BITSS) Annual Meeting brings 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.

We are currently inviting submissions for papers.
Submit your abstract here by December 30, 2022.

Call for Speakers: BITSS Open Research Seminar

The Berkeley Initiative for Transparency in the Social Sciences (BITSS) is excited to announce the Spring 2023 Open Research Seminar (ORS), a webinar series to promote and share knowledge about tools and practices for increasing transparency and reproducibility in social science research. View the Fall Session recordings now available on the BITSS YouTube channel.


We elicit proposals from researchers, practitioners, and students to present their work as part of the first four webinars, which will take place March-April, 2023.


Submit your proposal here by December 23, 2022.

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.

We are currently inviting submissions for papers.
Submit your abstract here by January 16, 2023.

- Campus Job Opportunities -

CEGA Seeking Two Pre-Doctoral Fellows

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.

Apply here by December 31.

Statistician (Demography) Position
at the US Census Bureau


The Training and Statistical Development Branch in the U.S. Census Bureau's International Programs Center is hiring a Statistician (Demography), seeking candidates with expertise in demography, statistics, public health, survey methodology, and/or data science with strong programming skills in R.

The person selected for this position will lead the development of tools for demographic analysis and population projections and serve as a technical expert for various international demographic, statistical, and data science projects. The position requires frequent international travel to countries like Djibouti, Rwanda, and Mali.

Apply here by December 14.

Berkeley Center for New Media Hiring
an Events Coordinator & Office Manager


The Berkeley Center for New Media (BCNM) seeks an Office and Events Coordinator who can execute events, assist in procurement, travel, space and audio-visual arrangements, catering, hotel accommodations, distribution of print collateral, directing volunteers, and managing events on-site. Financial responsibilities include management of payments and reimbursements and fund transfers. 

The position further manages and maintains BCNM spaces on campus, including ordering equipment and supplies and resolving IT issues with support from campus IT. They also function as part of the BCNM team and provides back-up assistance to other BCNM staff as needed.

Apply here by December 14.

- External Job Opportunities -

Several Positions at the
Schmidt Center for Data Science & Environment (DSE)


Program Manager: DSE intends to hire 2-3 program managers who are excited to work at the intersection of Data Science and the Environment. This position manages the design and development of data-driven projects, works in collaboration with the Executive Director and Senior Engineers and supervises an interdisciplinary team of staff and students. 

Apply here before 12/19/22.

Data Scientist / Research Software Engineer: DSE seeks 2-3 Engineers who will play a critical role in developing and delivering on all technical aspects of DSE's project efforts. This position plans, designs, develops, modifies, debugs, deploys, and evaluates data science/computational science research software and technologies, and analyzes existing software, scientific codes, data science/analytics codes/algorithms related hardware or works to formulate logic for new systems and devises algorithms.

Apply here before 12/19/22.

Senior Data Scientist / Research Software Engineer: DSE will hire 2 Senior Engineers who design and implement technical solutions, and will will apply advanced research and development expertise to plan, design, develop, modify, debug, deploy, and evaluate all data enabled computational tools that address environmental challenges. This position also understands how to evaluate all technical options, decide the best path forward, and develop upon the chosen path as a contributor and technical leader.

Apply here before 12/19/22.

- 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!

Copyright © 2021 D-Lab, Social Sciences Data Laboratory, All rights reserved.

You are receiving this email because you signed up for the mailing list at the D-Lab website

Our mailing address is:
D-Lab, Social Sciences Data Laboratory
University of California, Berkeley
356 Social Sciences Building
Berkeley, CA 94720-3030

Want to change how you receive these emails?
You can update your preferences or unsubscribe from this list.
Share Share
Tweet Tweet
Forward Forward
Share Share