CalDay: Data Science for All

Berkeley Division of Data Sciences

Social

April 13, 2019
9:00am to 4:00pm
Multiple Locations

The Berkeley Division of Data Science has an exciting lineup of events for CalDay on Saturday April 13.  Mark your calendars for these opportunities to talk with students, faculty, and staff and learn more about data science across campus!

Data Science Information Table

Time: 9:00 AM  4:00 PM
Location: Table 52 in the "Information Marketplace" tents at South Hall Road by the Campanile (Map)
Stop by the data science information table any time to say hello, ask questions, and meet advisors and fellow students!

Data Science Major Information Session

Time: 11:00 AM  12:00 PM
Location: 10 Evans Hall
At this session for admitted students, data science faculty, advisers, and students will share information about the new data science major. Designed through collaboration across diverse disciplines, the Bachelor of Arts in Data Science in the College of Letters and Science, approved last fall, was developed in response to intense student, faculty, and industry demand for graduates equipped to propel knowledge to action in a world transformed by the digitization of everything from DNA to political speeches to radio signals from distant galaxies. Find out more about how we integrate different domains in data science education and ensure that majors graduate with an understanding of the human and social implications of a data-rich world.

Panel: Data for All

Time: 1:00 – 2:00 PM
Location: Wheeler Hall
Come hear about the fascinating ways that faculty and researchers from across campus are exploring and using data science. How can machine learning advance decision making in medicine? How can we design online discussion spaces where no one is bullied? How can we detect and provide early warnings about earthquakes? How do we address the social and ethical implications of how we develop and use data? Join us to learn more!  Speakers include: 

  • Cathryn Carson, Faculty Lead, Data Science Education Program, and Professor of History
  • David Culler, Interim Dean, Division of Data Sciences, and Professor of Electrical Engineering & Computer Sciences
  • Qingkai Kong, Assistant Data Science Researcher, Berkeley Seismology Lab and Division of Data Sciences
  • Eva Phillips, UC Berkeley graduate and Program Analyst, City of Oakland Department of Transportation
  • Ziad Obermeyer, MD, Acting Associate Professor, Health and Policy Management, School of Public Health
  • Niloufar Salehi, Assistant Professor, School of Information

Data Science Student Research Showcase

Time: 1:00 – 3:00 PM
Location: 190 Doe Memorial Library
This showcase will feature hands-on research projects currently underway in the Data Science Discovery Program. Students will share their experiences working with partners on and off-campus on a range of social impact projects. Highlighted projects include:

  • Humanitarian Data Exchange - Microsoft Research is working with the UN Office for the Coordination of Humanitarian Affairs to guide a student team to help create a process that will improve analysis of 5,000 data sets shared by humanitarian agencies from around the world.
  • Bay Area Trip Choice Model - This project is focused on building a commute model that will help inform policymakers about pricing policies that can help improve travel in the Bay Area and limit factors such as time lost in traffic, climate emissions, and local air pollution.
  • Fall Armyworm - Students are helping MercyCorps create a tool to help indicate the location and intensity of outbreaks of Fall Armyworm, a pest decimating crops in Sub-Saharan Africa, and identify the risks of future outbreaks to enable humanitarian organizations to effectively target resources.
  • Economics of Disaster Response - Student researchers are working with West Big Data Innovation Hub and the State of California to address how we can better respond to natural disasters by finding ways to optimize the demand and supply of physical donations and understand the economics of disaster prevention and relief.
  • BEACO2N - BEACO2N, a network of more than 100 air quality and climate sensors, is leading projects on everything from understanding instrument calibration, to describing the composition of local plumes, to characterizing connections between weather and the observations, to visualizing the observations.
  • Water Data Collaborative - The California State Water Resources Control Board is engaging students to help create comprehensive, high-quality data on water rates for agencies across the state to inform efforts to improve access to safe drinking water.
  • Work At Home Vintage Experts - WAHVE is working with students to help analyze data that pairs companies looking for specific skills with the veteran professionals who have them.