MaxQDA: Introduction
Nov 15 | 10am-12pm | Register for Zoom link

This two-hour introductory workshop will teach you MaxQDA from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the MaxQDA software, upload multiple forms of data then how to use manual and autocode features. We will review some of the additional analytic features including visual, memo and the Questions, Themes and Theories (QTT) tools. We will briefly touch on the MaxQDA Team cloud-based version. Instructors will share recommended resources.

Ariel Siegel, Data Science Fellow

Getting Started with Surveys
by Ariel Siegel
D-Lab Data Science Fellow

Surveys can be an extremely useful tool for gathering information from individuals and groups. They are used across disciplines and industries to help researchers learn more about populations and gain actionable insights. One of the most important parts of survey research is planning. Read more about important things to consider before embarking on survey research.

Read more at our D-Lab website.
 

October

R Fundamentals: Parts 1-4
Oct 18, 20, 25, 27 | 1pm-4pm | Register for Zoom link

Bash + Git: Introduction
Oct 19 | 2pm-5pm | Register for Zoom link

Qualtrics Fundamentals
Oct 19 | 5pm-8pm | Register for Zoom link

Python Data Wrangling and Manipulation with Pandas
Oct 24 | 3pm-6pm | Register for Zoom link

Python Visualization
Oct 26 | 3pm-6pm | Register for Zoom link

Stata Fundamentals: Parts 1-3
Oct 26, 31, Nov 2 | 9am-12pm | Register for Zoom link
 

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November

Python Web Scraping & APIs
Nov 2 | 3pm-6pm | Register for Zoom link

Python Text Analysis Fundamentals: Parts 1-2
Nov 1, 3 | 12pm- 3pm | Register for Zoom link

R Data Wrangling and Manipulation: Parts 1-2
Nov 1, 3 | 9am-12pm | Register for Zoom link

Finding Health Statistics and Data
Nov 2 | 1:00pm-2:30pm | Register for Zoom link

Institutional Review Board (IRB) Fundamentals 
Nov 7 | 12pm-3pm | Register for Zoom link

R Data Visualization
Nov 7 | 2pm-5pm | Register for Zoom link

Python Geospatial Data and Mapping: Parts 1-2
Nov 8, 10 | 2pm-5pm | Register for Zoom link

Python Machine Learning Fundamentals: Parts 1-2
Nov 14, 16 | 4pm-7pm | Register for Zoom link

Python Text Analysis: Topic Modeling
Nov 15 | 12pm-3pm | Register for Zoom link

MaxQDA: Introduction
Nov 15 | 10am-12pm | Register for Zoom link

Check out our full list of upcoming workshops
for even more workshops open for registration now in late-November and December on R Machine Learning, Python Visualization, and more!

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Keep an eye on our events calendar for upcoming workshops!

Center for Economic Studies (CES)
Dissertation Mentorship Program
for Berkeley FSRDC Users

Attention graduate student Berkeley FSRDC users, the Center for Economic Studies (CES) continues to seek additional candidates for its CES Dissertation Mentorship Program. Since the program was launched in 2008, it has mentored 61 graduate students from 29 different universities.
CES wants to assist doctoral candidates who are actively engaged in dissertation research in economics, sociology, demography, or a related field using Census Bureau microdata at a
Federal Statistical Research Data Center (FSRDC).

Deadline: Acceptance will be on a rolling basis,
as funding and staffing resources allow.
Apply today

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Data Science Discovery
Project Partner Applications Open for Spring 2023

Do you have a research project that needs help from a
team of data science undergraduate and graduate research students?

Project partners can be faculty members, graduate students, researchers, or staff, whether you are affiliated with UC Berkeley or another academic institution, government agency, industry,
or non-profit organization.

The UC Berkeley Data Science Discovery Program incubates cutting edge data science projects with academic researchers, government agencies, community groups, and entrepreneurial ventures across the world by leveraging the world class talent at UC Berkeley. 

As a Data Science Discovery Project Partner, you will have the opportunity to:

increase your capacity to take on data-centric projects, at any level of complexity and for multiple semesters;   collaborate with UC Berkeley’s world-class data science undergraduate and graduate research students;   create cutting edge machine learning, neural network, and AI algorithms to get new insights and tangible results from your data science projects   rely on an infrastructure of technical and project management support for your student team;   join the club of project partners that span academic institutions, government, industry, and non-profits including UCSF, Harvard, LBNL, NASA, IBM, BART, the United Nations, American Heart Association, and more.

Apply here by November 18th, 2022
For specific inquiries about our program email us at: ds-discovery@berkeley.edu

Interested in a PhD Program
in Computational Precision Health?

A new PhD program in Computational Precision Health, joint between UC Berkeley and UCSF, is now open to applications from recent or soon-to-be graduates and Master's students. Our inaugural class will be matriculating in Fall 2023 with 5 years normative time. Students are encouraged to reach out to Augmented Graduate Group (AGG) faculty to discuss their interests.

Students in the PhD in Computational Precision Health will develop skills and expertise in both the computational sciences (machine learning and AI, natural language processing, statistical inference and modeling, data standards, parallel computing and data at scale, etc.) and health sciences (clinical decision sciences and cognitive informatics, clinical delivery, clinical research, implementation science, health information policy, etc.).

Please contact Bianca Victorica biancav@berkeley.edu for more information.

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Open Rank Tenured/Tenure-Track Faculty Position

The UCSF-UC Berkeley Joint Program in Computational Precision Health leverages the world leadership in computer science, engineering and statistics at UC Berkeley, clinical care and health sciences research at UCSF, and public health at both institutions to transform personal and public health through computation. We are currently seeking applicants for an open-rank tenured or tenure track “hard money” position with an expected start date of July 1, 2023.

We seek rising leaders from diverse fields with active research at the intersection of the computational sciences and the health sciences, including applications of computing to health economics and health services research.

We hope to choose from outstanding candidates whose research, teaching, or service has prepared them to contribute to our goals of diversity and inclusion in higher education. We are particularly interested in learning of talented doctoral students or junior faculty who are women or underrepresented minorities (African Americans, Latin Americans or Hispanics, and Native Americans), as well as candidates with disabilities.

Read more and apply here
Deadline: November 11, 2022

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Managing Research Data Using REDCap
Tuesday, October 25, 3-4pm | Register for Zoom link

Need a platform for secure data collection? REDCap — short for Research Electronic Data Capture — is a secure web-based application to support online and offline data collection for research studies and operations across a variety of disciplines. REDCap at Berkeley is a campus-subsidized service available to all UC Berkeley researchers(e.g., faculty members, post-doc fellows, doctoral students, undergraduates) at no cost.

During this UC Berkeley Research IT workshop, you will: 1) understand when and why to use REDCap, 2) see examples of other researchers’ use of REDCap, 3) learn more about REDCap features, and 4) have an opportunity to try out REDCap yourself.
 

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Data Science Undergraduate Workshops
This peer-led series of workshops is designed by undergraduates in collaboration with the Library Data Services Program to help undergraduates learn python and SQL basics for data analysis and visualization.

Introducción al análisis de datos con Python
miércoles, 19 Octubre, 7:10-8pm
Instructor: Diego Sotomayor
Zoom (los detalles se enviarán por correo electrónico después del registro) 

Únase a sus Data Peer Consultants de pregrado para una introducción a Python. Este taller cubrirá los fundamentos de Python, la creación de funciones y más. El taller es parte de la serie “Introducción al análisis y visualización de datos” y se impartirá en español. El instructor dirigirá ejercicios prácticos utilizando Jupyter Notebooks. Este taller se realiza mejor con una computadora portátil o de escritorio en lugar de un teléfono o tableta. La información de zoom y configuración se enviará por correo electrónico después del registro.

Introduction to Data Analysis with Python
Monday, October 24, 7-8pm | Register here

Join your undergraduate data peer consultants at the UC Berkeley Library for an introduction to Python. This workshop will cover Python fundamentals, creating functions, and more. Instructors will lead hands-on exercises using Jupyter Notebooks. This workshop is best done with a laptop or desktop computer instead of a phone or tablet. 

SQL for Data Science
Wednesday, October 26, 7-8pm | Register here

This workshop from the UC Berkeley Library will cover basic and intermediate concepts of SQL and applications to data science. Data peer consultants will lead attendees through hands-on exercises using Jupyter Notebooks.This workshop is best done with a laptop or desktop computer instead of a
phone or tablet. 

Fisher Center Summit & World Business Analytics Awards
+ Berkeley-Ukraine Conference
Monday, October 24, 2-6pm

One Day - Two Exclusive Conferences
Spieker Forum, Haas School of Business

8 :30 am - 12:30 pm - The Fisher Center Summit
THIS YEARS THEME: The keys to Inclusive and sustainable analytics: How technology, leadership, and innovative ways to run projects can promote inclusive and sustainable analytics and support better, fairer data. How can we foster inclusion and sustainability with actions that have a direct and immediate impact?

12:30 pm - 2:00 pm - Berkeley World Business Awards
The Berkeley World Business Analytics Awards celebrate impactful, ethical, and humane analytics work by recognizing women in applied business analytics, projects that impact social and environmental issues, and innovative work by young professionals. 

2:00 pm - 6:00 pm - Berkeley-Ukraine Conference *** SPECIAL EVENT ***
Ukraine: The Digital Imperative to Prevail, Rebuild and Thrive.
Ukrainian startup, VC and government representatives will join to share how
tech, data and leadership is shaping the future of their country. 
More information here

6:00 pm - 8:00 pm - Closing Reception
Join us for an evening cocktail reception.

More information at:
https://fcba.berkeley.edu/world-business-analytics-awards-2022/
 

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UC Geographic Information Science (GIS) Week 2022
Tuesday, November 15 -  Thursday, November 17

Registration is now open for the University of California (UC) GIS Week conference! This informal meetup offers participants an opportunity to get to know other people using mapping tools and techniques across campus, regardless of discipline. Whether you're just getting started exploring GIS & Mapping or a seasoned pro (or anywhere in between!), all are welcome to participate in the GIS & Mapping Community of Practice. Bring your questions and get excited to meet fellow mappers!

This month's meetup will take place virtually on Zoom.
Register here

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TextXD: Text Analysis Across Domains 2022


Monday, December 5 - Wednesday, December 7

TextXD is an interdisciplinary conference on computational text analysis, spanning theory, applications, tools, and ethics. It strives to bring together researchers from different fields who normally wouldn’t cross paths to share their expertise and perspectives with each other across domains — spanning human languages, literature, social sciences, law, health and medicine, computer science, and beyond.

The conference is hosted by the Berkeley Institute for Data Science and
partnering with D-Lab to provide training on foundational computational text analysis tools.

The event will be held in-person from December 5 to 7. 

On day 1 there will be an optional full-day training workshop on how to perform
Text Analysis using natural language processing tools and methods.

Please register for the conference.
We hope to see you in December!

Legal Literacies for Text Data Mining, Cross-Border (LLTDM-X)
Call for Roundtable Participants

Join us for a project on cross-border TDM research (NEH funded)
Up to $800 stipends available | Deadline Nov. 4 at 5pm

ou may be eligible for up to $800 to tell us about your research as part of our NEH-funded Advancement Grant project: Legal Literacies for Text Data Mining, Cross-Border (LLTDM-X).

Not sure if your TDM research counts as “cross-border”?
We created this brief explanatory video to help you.
https://youtu.be/Y-dF9x-y8ow

If after watching the video, you think we’re describing your research and you want to participate in the LLTDM-X roundtable, please submit an application no later than 5 p.m. PST November 4, 2022.

Director of Communications and External Relations
Department of Statistics

The position of Director of Communications and External Relations (7477U) #44201 will play a critical role during this exciting time developing, planning and implementing branding and communication strategies and plans for the Department of Statistics as we continue to grow and evolve with the demand of
Data Science and Statistics. 
First review date: October 27, 2022 - Open Until Filled
Read more here

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Center for Teaching and Learning (CTL)
Hiring a GSR for Spring 2023

The Center for Teaching & Learning (CTL) and the Division of Undergraduate Education (UE) are hiring a Graduate Student Researcher (GSR) available to start in Spring 2023. Regular duties for the GSR will include data collection, analysis, visualization, and reporting related to student learning assessment and program evaluation. The GSR will work with CTL staff on evaluation of their programs and partnerships, with the Academic Program Review team on course-level and program-level evaluation of academic units, and with UE staff on university accreditation.

This position is at 50% appointment at Step 5, averaging 20 hours per week, with hours varying with project timelines. The GSR would join the UE Data Team and report to the institutional research analyst in the Immediate Office of the Vice Provost for Undergraduate Education.

Read more here
First review date: November 2

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Graduate Student Researcher for Qualitative Assessment
FLOSS - A Faculty Development Program

The Faculty Learning Optimizes Student Success (FLOSS) project has a quick, short-funded need for a
qualitative researcher to help us code open-ended survey responses.

FLOSS needs: (1) remote data analysis consultation and support toward quantifiably coding open-ended survey question responses; (2) data analysis and compilation, (3) statistical analysis as appropriate, and (4) visualization.

Time commitment: 10 hours per week 
Duration: 10 weeks - flexible until around Dec 16
Intended rate: $43/hour

Interested? Please contact Jules Winters at jwinters@berkeley.edu
Read more here.

Research Collaboration with Stanford

This is an opportunity to collaborate on cross-sectional psychology and education research, which has a large sample size and has finished data collection. We are looking for someone who has experience applying machine learning to analyze large survey datasets in independent research project(s). SPSS and R may work for the dataset too. This is an opportunity for data analysis and to be part of our publication. We prefer people from a psychology, education, economics, and/or statistics background, but all are welcome!

If interested, email your resume and past publications with quantitative applications (if applicable) to yixu2@stanford.edu by October 26th.

The Duke Polarization Lab is Hiring!
Post-doc Fellow, Senior Software Engineer, Lab/Project Manager

The Duke Polarization Lab is hiring 3 positions:
a post-doctoral fellow, a senior software engineer, and a lab/project manager.

As a team that is deeply committed to interdisciplinary, we are considering candidates from any field for our post-doctoral fellowship. If you have a talented undergraduate who is looking for a 2-3 year position, would you please consider forwarding the information below for the lab/project manager. And, finally, we have clearance to hire a software engineer who can work remotely.

Post-Doctoral Fellow: Apply here
Lab/Project Manager: Apply here
Senior Software Engineer: Apply here
 

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Policy and Data Analyst Position
for Open Communities Alliance (COA)

This open full-time position with the Open Communities Alliance (COA) is ideal for a mission- and data-driven advocate ready to assist with the development of research and policy recommendations that promote policies to counter the legacy of housing segregation. 

The Policy and Data Analyst will also be deeply engaged in outreach and education in urban and suburban areas about the benefits of such policies as OCA continues to develop an urban-suburban interracial coalition to support its work. Salary is commensurate with experience and is between $60,000 and $70,000 annually.

Please send a resume and detailed cover letter explaining why you’re interested in this role and why you feel it’s a good fit (or what skills, experience and capacities you would bring to this work) to apply@ctoca.org with the subject line: [Your Name] – Policy and Data Analyst. No phone calls please.

For more information, please visit our website.

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Post-Doc Studying Historical Homicide Trends
Mansueto Institute for Urban Innovation at UChicago

Professor Robert Vargas, in collaboration with the Mansueto Institute for Urban Innovation at UChicago, is searching for a post-doc to join their research team studying historical homicide trends in multiple cities from 1870 to the present. It is a great two year post-doc opportunity with 50% time devoted to your own research, and the other 50% collaborating with the research team on papers.

Looking for someone with strong quantitative skills, particularly difference-in-difference modeling, trajectory analysis, spatial analysis, or social network analysis.

Read more and contact: robvargas@uchicago.edu