NumPy presentations at EuroScipy 2018

Matti Picus / September 24, 2018

I recently attended EuroScipy 2018, which was held in the beautiful city of Trento, Italy. The conference, attended by about 200 people from all over Europe, began with two days of tutorials, then two days of talks, and ended with a sprint day.


CDAR announces 2018 Symposium, focusing on data science applications in finance and risk management

/ September 13, 2018

The fourth annual CDAR Symposium (Consortium for Data Analytics in Risk) will convene on October 19, 2018, from 8:30 am to 6:30 pm at UC Berkeley’s Memorial Stadium. 2018 CDAR Symposium Date: October 19, 2018 Time: 8:30 AM - 6:30 PM Locations: Memorial Stadium, UC Berkeley

cell culture

Cervical cancer, taboos and cure: why do we need to streamline cancer detection?

Daniela Ushizima / September 12, 2018

From Ada Lovelace, the British mathematician who wrote the first computer program, to Henrietta Lacks, the African American woman who revolutionized medical research with her tumoral cells, dying from cervical cancer has been the price to pay for being a woman.


BIDS announces 2018 Data Science Research Projects

Marsha Fenner / September 12, 2018

BIDS is pleased to announce the three award recipients of our 2018 Call for Data Science Research Projects.


Berkeley Lab, BIDS Take on Big Data

/ August 30, 2018

August 30, 2018 | Linda Vu | Berkeley Lab Computing Sciences News

BIDS welcomes our 2018 Data Science Fellows

David Mongeau / August 24, 2018

BIDS welcomes our 2018 cohort of Data Science Fellows! This year’s cohort joins our growing campus-wide community creating and applying talent, theory and tools for data-intensive discovery to advance interdisciplinary research and training.

DATS logo

Announcing the new 'Data Analysis Tools Series': BIDS relaunches 'The Hacker Within'

Marsha Fenner / August 24, 2018

The group formerly known as the Berkeley chapter of The Hacker Within has been renamed the Data Analysis Tools Series. The renaming is an attempt to provide clarity and inclusiveness to a wider audience, and to be less mysterious as to the group's purpose, which is to be "a collaborative, peer-driven weekly meeting for sharing skills and best practices in research computation and data science."