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What's New?
(older news items here)
- We are pleased to share a
preprint of "(A) Data in the Life:
Authorship Attribution of Lennon-McCartney Songs" by Mark Glickman,
Jason Brown, and Ryan Song. The paper has been accepted for
publication in the inaugural issue of the peer-reviewed journal, the
Harvard Data Science Review (HDSR). The online version will be available
mid-to-late June, and the print version (which will be a bundling
of the first two online HDSR issues) will be ready in October. The journal
graciously funded the development of several interactive demos that
will be embedded within the online version on the HDSR site. The online
version will also contain sound samples to illustrate the relevant musical
concepts on which our analyses rely. We encourage you to take a look
at the HDSR version when it is published. The preprint reflects an
improved model over that which was reported earlier in the media, and
all details are included in the article.
Thank you for your patience in waiting to read our manuscript.
We appreciate the early feedback on our manuscript, and thank many
of you (especially David Hoaglin) for noticing several typos.
Last year, various articles appeared in the news media about our work.
A 6-minute segment
was recorded for the CBC show
The
Early Edition that appeared on August 1, 2018, and
a 6.5-minute segment
appeared on August 9, 2018, on WGBH radio in Boston.
And if you are not sick of hearing my voice, there is also my
interview
on Science Friday on August 10, 2018,
and the
Stats+Stories
podcast from October 18, 2018.
- I have been chosen to receive the 2019 US Chess
Distinguished Serivce Award by US Chess.
- I will be presenting
Data Tripper:
Distinguishing Authorship of Beatles Songs Through Data Science
at the 2019
Joint Statistical Meetings in Denver, CO, on July 28, 2019 at 6:00pm
at the Colorado Convention Center, Four Seasons Ballroom 1.
The lecture is open to the public.
- I will also be presenting
The Jury is Out:
Communicating Bayesian Statistics in a Courtroom Trial
at the 2019
Joint Statistical Meetings in Denver, CO, on July 28, 2019 at 2:00pm.
The talk is part of an invited session
Advocating,
Implementing and Explaining Bayesian Analyses in Statistical Consultations.
- I have been appointed a column editor (currently listed as
Associate Editor) for the Harvard Data Science Review (click on "Associate Editors A-L").
- I was featured on a
Stats + Stories
"short story" about
The Best Way to Rank Everyone.
The segment went live on January 24, 2019.
- I have been elected to the American Statistical Association's Board
of Directors for a 3-year term, starting 2019, as Council of Sections
Governing Board representative.
- The paper
A comparison
of rating systems for competitive women's beach volleyball
has been published in a special sports statistics issue
of the
Italian Journal of Applied Statistics.
-
The Chapman & Hall/CRC book
Handbook of Statistical Methods and Analyses in Sports,
edited by me, Jim Albert, Tim Swartz and Ruud Koning,
has now been published.
I wrote a chapter on
Estimating Team Strength in the NFL
with Hal Stern.
-
I am one of the developers of the new
Universal Rating System
for chess.
The project was sponsored by Grand Chess Tour, the Kasparov Chess
Foundation, and the Chess Club and Scholastic Center of Saint Louis.
- I am the founding head of the
Sports Analytics Laboratory at Harvard University.
The
web site
is now active.
We appreciate the early feedback on our manuscript, and thank many of you (especially David Hoaglin) for noticing several typos.
Last year, various articles appeared in the news media about our work. A 6-minute segment was recorded for the CBC show The Early Edition that appeared on August 1, 2018, and a 6.5-minute segment appeared on August 9, 2018, on WGBH radio in Boston. And if you are not sick of hearing my voice, there is also my interview on Science Friday on August 10, 2018, and the Stats+Stories podcast from October 18, 2018.
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