The Data Science Forum is the largest data science-related event at UC Berkeley. It is an annual all-day career-driven event hosted by the Data Science Society at Berkeley, SAAS, and Big Data at Berkeley. The forum invites prominent speakers to share and discuss with students current revolutions in the Data Science field outside academia.
Each annual forum is focused on a different topic to allow space for the growing applications of data science. This year's theme is 'Tech for Social Good'; the intersection of data and social good across the spectrum from non-profits to startups to government work to big tech. The purpose of this event is to educate the UC Berkeley community on how to carry social good values in tech work and/or use tech to drive solutions to societal issues.
The event starts off with individual speaker presentations, followed by lunch, a speaker panel, and ends with a networking session. Lunch will be provided and there will also be a resume drop and, as well as a fun raffle at the end (win a speaker!).
Agenda
Opening & Resume Drop
Speaker Presentation #1 by WWF
Speaker Presentation #2 by Meta: Data for Good
Speaker Presentation #3 by Relational AI: Applied AI (Ethics)
Speaker Presentation #4 by Delta Analytics: Connecting NPOs to Data Fellows
Lunch Break & Mingling (Provided lunch)
Speaker Panel by SF Mayor's Office, Boomitra, Coding it Forward, Ample Labs
Conclude & Raffle Winner
After-hours Networking
Frequently asked questions
How will the resume drop work?
We will provide a Google Form link for our attendees who signed in, and a bin for hard copies. We will then forward the compiled resume book to the companies in attendance.
How does the raffle work?
All attendees are eligible for a raffle prize. We will provide a sign-in QR code at the start of the above sections, and each sign-in acts as 1 entry. In other words, the more sections of the event you attend, the more likely you are to win our raffle! Our raffle prize will be a JBL Speaker!
What will networking and mingling look like?
Networking will be unmoderated, but please keep in mind our speakers were invited because of their expertise in Tech for Social Impact; not all of them -- most of them -- are not experts in HR / hiring. Be genuine about learning from them and simply stay connected for future opportunities!
