I found the Harvard Data Science Review (an open access platform of the Harvard Data Science Initiative) is quite interesting and informative: https://hdsr.mitpress.mit.edu/
There are several articles there that would be quite useful for us to think further, e.g.,
Dear all,
As an organizer of the Fall 2020 MADDD seminar, I would like to inform you of the following.
All the seminar talks will be conducted online via zoom. For the further information on the zoom and the talk schedule, please visit https://sites.google.com/view/maddd/ .
Please join me to congratulate our co-PI Chen-Nee Chuah and a Steering Committee member Jesus De Loera for their 2020 ADVANCE Scholar Awards from the UC Davis Office for Diversity, Equity and Inclusion, through the ADVANCE Program and its Center for the Advancement of Multicultural Perspectives in Science (CAMPOS)! For the details, please check: https://diversity.ucdavis.edu/news/2020-uc-davis-advance-scholar-award-recipients .
I hope this email finds you and your family well under the current extraordinary circumstances. Also, I hope that you are successfully finishing up the most unusual and difficult academic year.
Before entering our summer break, I would like to announce the following great news.
We successfully hired three fantastic postdocs under our NSF TRIPODS grant (with coordination with mathematics and statistics departments). We are so lucky since quite a number of our cohort TRIPODS institutes have difficulty in hiring their postdocs.
The third and last roundtable discussion of this quarter was held before Dr. Ken Clarkson (IBM Research)’s statistics seminar talk: Dimensionality Reduction for Tukey Regression. His talk slides can be found here.
From: Henry Kautz, Division Director IIS, National Science Foundation
The White House Office of Science & Technology Policy (OSTP) has released the report American AI Initiative: Year One Annual Report to mark critical milestones made since February 2019:
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.
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.
I just recently found out two potentially quite useful websites for people who are interested in data science and machine learning.
(1) Nextjournal https://nextjournal.com/ : allows you to develop you notebooks for reproducible research and publish them or share them with your collaborators.
