1. remarks on presentations

   - generally great

   - page numbers!

2. Next week: second progress reports!

  - what am I looking for:

    - if you (are supposed to) have data
      - data description, EDA
      - conjectures about analysis methods

    - if you (are supposed to) not have data
      - what are you doing?
      - what have you learned so far?

    - give me a clearer idea of what final product the client is
      looking for

3. (would you like another week for this?)

4. End of the semester:

   - written report:

     - almost everyone is doing some sort of written reprot for the
       client (in addition to a dashboard, shiny app, or similar)
  
     - make me an IDMRAD paper, or let's talk about what kind of
       report you're writing for your client

5. Final Presentations

   - accommodate client schedule

   - I want to attend

   - fac mentor & Jamie also a nice idea

----

Talking to each other about methods (without violating data
confidentiality of course) is important!

Here are some method themes I see...

* HCI learning discontinuities and NPD anomaly detection
  - detecting change points and outliers

* IFDA and NHL
  - missing data in an HR setting: what employees (that you can see)
    are like those who never become employees?

* NBA and AFRINIC
  - developing or improving "indices"

* HCI prereq discovery and JP MORGAN network analysis
  - networks and graphical models by measures of similarity

* PPS promise use and SIMON covid effects
  - logistic regression
  - causal analysis
  - regression discontinuity designs

* PHIGHT COVID and SIMON covid effects
  - interrupted time series analysis