Data Dialogs 2017 conference recap

by Caitlin Appert-Nguyen and Tiffany Jaya, current Master of Information and Data Science (MIDS) student

Dean AnnaLee (Anno) Saxenian welcoming participants to the conference. Banatao Auditorium, Sudjarta Dai Hall.

Current MIDS student Tiffany Jaya attended our annual Data Dialogs conference on October 23, 2017 at UC Berkeley.

Data Dialogs brings data science experts from academia, industry, and nonprofits in an intimate and stimulating environment. The conference encourages conversations on issues ranging from new technologies and visualization tools to the policy and ethics of big data. This year’s highlights included a keynote address from Fernando Pérez the creator of IPython and co-founder of Project Jupyter; Alberto Cairo, on his Visual Trumpery tour; Hoda Eydgahi on the “full stack” data scientists at Stitch Fix; Pulitzer-winning journalist from ProPublica T. Christian Miller; MIDS alum Sharon Lin; MIDS faculty member D. Alex Hughes, and more.

Two days ago I had the pleasure to attend the Data Dialogs Conference at UC Berkeley where we discussed what can data scientists do to improve their craft. The key takeaway in the discussion is that it is so much easier to work with data than people. Even though we are able to extract insight from data, [true success] still lies in putting the human in the loop.

Read Tiffany’s recap for summaries of each speaker and the insights she gleaned throughout the experience:

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