Science & Technology

GitHub Organization for UCD4IDS!!

April 28, 2021

We have now our own GitHub site: !!

Currently there are a handful of packages our members (Saito, Koeppe, and their groups) are listed there.

Please consider adding your software packages for public dissemination, which NSF would reapply appreciate.

If you have any further questions, please contact me.


Naoki Saito

Videos and slides of the MADDD seminar talks of Fall 2020

December 18, 2020
Dear all,   Videos and talk slides of all the MADDD seminars this quarter (except the one by Chelsea Weaver, which the Amazon management did not allow us to post) are available now as follows:   Videos:   Talk slides:   Note that ta

Minutes of Roundtable Discussion Winter 2020 - II

February 22, 2020

The second roundtable discussion of this quarter was held before Prof. Bin YU (UC Berkeley, Stat)'s Joint Math/Stat Colloquium talk: Veridical Data Science. Her talk slides can be found here.

The roundtable discussion kicked off by the host asking the guest speaker about the status of data science activities at the Berkeley campus.

Minutes of Roundtable Discussion Winter 2020 - I

February 02, 2020

The format of our roundtable discussions for Winter 2020 has been changed from that of Fall 2019: we have decided to have a roundtable discussion once a month instead of every week, and schedule it before a seminar talk with refreshments instead of after a seminar talk.

Some useful websites

January 17, 2020

Happy New Year to you all!

I just recently found out two potentially quite useful websites for people who are interested in data science and machine learning.

(1) Nextjournal : allows you to develop you notebooks for reproducible research and publish them or share them with your collaborators.

Minutes of Roundtable Discussion 7

November 17, 2019

Our seventh roundtable discussion took place after Rishidev Chaudhuri’s MADDD seminar talk “Noise driven synaptic pruning.” The topic of the roundtable discussion was: Challenges and future of graph/network data analysis in neuroscience. It was conducted in a Q&A format between the host and the speaker with responses from the audience.