Data Science Discovery Program: Spring 2018 highlights report, and call for new projects

July 26, 2018

The Data Science Discovery Program (formerly known as the BIDS Collaborative) has issued their Spring 2018 Discovery Research Report, which highlights a array of data science research projects that enable undergraduates to enhance their development as modern scholars, building skills in software development, data analysis, and team management in an interdisciplinary environment that facilitates access to data science applications in the real world.  

By creating a platform for budding researchers to collaborate with a diverse cohort of institutions, startups, nonprofits, academic departments, and community impact initiatives, this program bridges the divides between data, knowledge, and application. Participants find themselves deeply integrated in multidisciplinary learning communities composed of Berkeley graduate students, postdoctoral scholars, and staff, all immersed in the emerging field of Data Science. Discovery Program projects range from combating environmental corruption in Mexico, to analyzing transcription factor binding sites in fruit fly genomes, to studying the air we breathe in the Bay Area, to investigating potential disparities in hiring practices at UC Berkeley. The Spring 2018 Discovery Program engaged more than 23 partners and 85 undergraduate researchers in 30 projects. Some of the projects featured this term's report include:

  • Water Quality Analysis
  • Equal Opportunity Employment Compliance
  • Bay Area Air Quality Analysis
  • Cryptography of the Unknown Regions of Genomes
  • Housing Development and Protection Analysis
  • Environmental Justice Platform
  • COSI Telescope

New projects are being solicited for the 2018-2019 academic year.  If you are an undergraduate interested in applying for the program, please contact the Data Science Discovery Program.  If you are a graduate student, postdoc, or faculty member interested in proposing a new project for undergraduate engagement, please submit a Discovery Research Partner Application.

Featured Fellows

Anthony Suen

BIDS Alum - Data Science Fellow