I attending every single JSM for 8 straight years from 2010 – 2017 (Vancouver, Miami, San Diego, Montreal, Boston, Seattle, Chicago, Baltimore).  Unfortunately, I missed last year in Vancouver due to the birth of my second child, but I suppose it was worth it (Benji just turned 1!).  This year I return to JSM in Denver for what would have been my 10th in a row had I not missed last year, and I am very excited.

I’ll be in Denver from Sunday afternoon through Friday evening (as I am staying an extra day for the Rocky Mountain Symposium on Analytics in Sports hosted by the University of Denver).  I’ve been working out my schedule for the week, and here’s what I have so far.  If there is something you think I should go to that you think I’d like and it’s not listed here, please let me know.

And as always, don’t forget to check out the data art show!

Sunday

4 – 5:50pm: Session Number: 79, Location: CC-502,  “Functional Data Analysis: Methods and Applications— Contributed”

I’m giving a talk in this session related to the work I’ve been doing on my NSF grant about classification of partially observed shapes with applications to biological anthropology.  You can view my slides here:  http://rpubs.com/statsinthewild/JSM2019_slides

6:05 – 7pm: 2019 JSM Public Lecture—Invited ASA 6:05 p.m. Data Tripper: Distinguishing Authorship of Beatles Songs through Data Science – Mark Glickman

I believe this is the first time they are ever doing a public lecture like this.  Anyone can attend even if you haven’t signed up for the conference.  This is a great way to reach out to the public and people who don’t want to pay to attend JSM to see a really interesting talk on data science.  And getting Mark Glickman to do the first one is a great selection.  He’s a super interesting speaker and this topic is super interesting.

Monday

8:30 – 10:20am: Session Number: 98, Location: CC-607, “The Multiple Adaptations of Multiple Imputation— Invited”

This session has Jerry Reiter, Trivellore Raghunathan, and Donald Rubin (Rubin is my adviser’s adviser’s adviser……).  I spent 4 years of my life reading approximately a billion papers by these three.  If you are at all interested in synthetic data and/or multiple imputation, you should definitely check this out.  I know it’s at 8:30 in the morning.  But if I can make it, you can make it too.  And besides.  It’s Mountain Time.  So it’s like 10:30 if you live on the east coast or 9:30 if you live in flyover country like me.

9 – 11am: Location: Room H- Mineral Hall A at the Hyatt Regency Denver, Data Fest Meeting

So I know that I just said how awesome that 8:30am session is going to be, but I’ll be missing it because the Data Fest meeting is from 9am-11am.  This is where I’ll be during that time.  (Side note: Loyola just had it’s fourth annual DataFest this past Spring.  I can’t believe I’ve done it 4 times!)

1pm-2pm: Research meeting with some colleagues.  Talking about incomplete shapes!

4 – 6pm: Session Number: 261, Location: CC-Four Seasons 2-4, ASA President’s Invited Address—Invited JSM Partner Societies, “Coming to Our Census: How Social Statistics Underpin Our Democracy (And Republic),” Teresa A. Sullivan, University of Virginia

Teresa Sullivan

5 – 6pm: Section of Statistics in Sports mixer, Location: Rock Bottom

I go to this every year.  Stat nerds, Sports, Beer.  It’s where I belong.

Tuesday

8:35 – 10:20am: Session Number: 292, Location: CC-709. “Providing Access to Useful Data While Preserving Confidentiality—Topic Contributed Survey Research Methods Section, Government”

My adviser, Ofer Harel, will be presenting some work that we did together a few years ago bout privacy and ROC curves.

10:35 – 11:50am: Session Number: 344, Location: CC-506. “Expanding Data Utility – Issues in Disclosure and Modeling—Contributed”

I’m particularly interested in the talk at 11:05am “Using Generative Adversarial Networks to Generate Synthetic Population”.  The first time I ever read about GANs my immediate thought was: Synthetic Data!  I’m interested to see what they are doing here.

10:35 – 11:50am: Session Number: 323, Location: CC-708. “Causal Inference in Sports Statistics—Invited”

I’m going to try to get to this one for the last two talks starting at 11:25.

Evening: Rockies vs Dodgers

#gocubsgo

Wednesday – Friday Schedule Coming soon.