D-Lab Data Science Fellows Program

We are excited to announce the launch of the D-Lab Data Science Fellows Program, with the inaugural cohert starting Spring 2019.

 

D-LAB FELLOWS

The D-Lab Data Science Fellows program is designed to give outstanding UC Berkeley students and researchers the opportunity to advance their data science training within the D-Lab’s diverse and intellectually vibrant community.  We offer participants a supportive mentorship and peer-learning environment in which they can apply their expertise and knowledge, gain professional teaching and leadership skills and connect with industry and public sector partners.

D-Lab Data Science Fellowships are awarded to facilitate and recognize significant contributions to one or more core areas in service to the D-Lab community and constituencies.  Fellows will be placed in one or both of the following types of activities.

  1. Special Projects fellows work on research that require the application of data science tools and methods. For example, the D-Lab Online Hate Index project is one in which researchers apply methods of survey design research, text analysis and machine learning to identify hate speech patterns in social media posts.
  2. Service fellows contribute to training activities such as curriculum development, instruction, consulting and mentorship in data science-related topic areas. These include development of online learning resources, frequently optimizing the use of Jupyter Project.

D-Lab Data Science Fellows play an important role in our community, contributing to research and instruction that promote and innovate the use of data science tools and methods. Fellows will be expected to devote, on average, 5 - 10% of their time on D-Lab research projects and or training activities. This is a limited, yet continuous time commitment, with Fellow involvement at the D-Lab throughout the semester.

 

FELLOW EXPECTATIONS

The specifics of Fellow contributions will be determined at the start of the Fellow appointment. However, we expect that Fellows will participate in the D-Lab community via the following activities:

  • serve, in a limited capacity, as a D-Lab consultants,
  • present one workshop or talk per semester,
  • attend a D-Lab working group,
  • participate in research,
  • write at least one D-Lab blog post, and
  • prepare an end of semester report on their activities as a D-Lab Fellow.

 

Eligibility and Application

The D-Lab invites UC Berkeley graduate students, advanced undergraduate students, current postdocs and visiting scholars and staff to apply to the D-Lab Data Science Fellows Program. We welcome applicants from all academic disciplines and methodological approaches. Fellowships are for one year and include recognition of contributions to data science, desk space, and for some campus affiliates, a modest award. Moreover, we offer you a valuable co-working experience alongside campus experts in which you will gain access to professional experiences unparalled on campus.

 

A call for applications for Fall 2019 Fellows will be posted in late Spring 2019. Applicants are encouraged to visit the D-Lab website and attend D-Lab workshops  and working groups as a way to learn more about our services and community.  
 
 

Data Science at the D-Lab

The D-Lab helps Berkeley faculty, staff, and students move forward with world-class research in data-intensive research. We think of data science as an expansive area, one that is constantly changing as the research frontier moves. We offer a venue for methodological exchange from all corners of campus and across its bounds. In one capacity, we provide training and individual consulting on study design, methods and tools such as programming, statistics, machine learning, data collection,  and more. In another capacity, we conduct research on both historical and contemporary issues, with a focus on data science for social good.  Collaborating with other Berkeley institutes, departments and schools, D-Lab services complement and strengthen the breadth and excellence of data science across Berkeley’s academic programs and faculty research. This is exemplified by D-Lab’s close partnerships with the Social Science Matrix, Data Science Education Program, Digital Humanities at Berkeley, the Library, the Berkeley Institute for Data Science, and Research Teaching and Learning.  Since our founding in 2013, we have prioritized keeping D-Lab an inclusive environment that values diversity and open exchange, a culture captured by our motto “It’s OK not to know”.