Phil 3.18.20

7:00 – 5:00 ASRC GOES

Today’s dashboard snapshot (more data here). My thoughts today are about supression and containment, which are laid out in the UK’s Imperial College COVID-19 report. The TL;DR is that suppression is the only strategy that doesn’t overwhelm healthcare. Suppression is fever clinics, contact tracing, and enforced isolation, away from all others (in China, this was special isolation clinics/dorms). This has clearly worked in China (and a town in Italy), though Hong Kong and Singapore seem to be succeeding in different (more cultural?) ways. The thing that strikes me is that suppression is just putting a lid on things. The moment the lid comes off, then infections start up again? I guess we’ll see over the next few months in China.

There appear to be vaccines in (human already!) testing. Normally, there is an extensive evaluation process to see if the treatment is dangerous, but that was sidestepped during the AIDS crisis (the parallel track policy). I wonder if at risk populations (People older than 70?), will allowed to use less-tested drugs. My guess is yes, probably within a month.

  • Finished all the dissertation revisions and made a document that contains only those revisions. Need to make a change tableand then send (full and revisions only) to Wayne today.
    • Whoops! No I didn’t. After putting together the change table, I realize there are still a few things to do. Dammit!
  • Update SDaaS paper as per John’s edits
  • Phone call with Darren at 2:00
    • Start a google doc that has all the parts of a proposal, plus a good introduction.
    • Also the idea of sims came up again as ways to define, explain, train ML, and test a problem/solutions
  • AIMS meeting at 3:00

Phil 3.17.20

7:00 – ASRC PhD/GOES

Today’s view of the dashboard. Looking at the numbers, it’s pretty clear that China has things under control, which means that we can get an idea of what it will look like in the US on the other side. The symptomatic population was (3,111 deaths + 55,987 recovered) = 59,098. That means that the mortality rate for that (infected? symptomatic?) population (59,098/3,111) is 5.26%. The median age in China is 38.4 years. Interestingly, that’s about the same as the USA.

So, if you know 20 people who come down with symptoms, it looks like one probably won’t make it? The CDC says that between 160 million and 214 million people in the United States could be infected over the course of the epidemic. So that works out to 8.5M – 11.2M fatalities? That seems really high. For a comparison, cancer and heart disease kill roughly 1.2M/year in the US.

In a fit of unbridled optimism, I’m booking vacation flights for September – done! Got to use my cancelled TF Dev tix

  • Ok, back to finishing the dissertation. Boy, it is hard to concentrate.
    • Conclusions are done
    • Working on tying things back to the literature

Phil 3.16.20

7:00 – 5:00 ASRC PhD/GOES

  • Working from home for the duration of the COVID-19 pandemic. It’s estimated that we are approximately 10 days behind Italy, So I’m hoping that when things start to get better there, it will be a head’s up that things might start to get better here.

(Via Corriere delle Sera)

  • Needless to say, things are not getting better there yet.
  • So, before the university gets to the point where it can’t handle the submission of the dissertation, I’m going to work on getting the revisions done and submitted.
    • Finished first pass through Limitations and Research chapter
    • Tried to start on fixing the conclusions but ran out of motivation
  • #COVID-10 meeting at noon –
    • Set up folders for lit, assets, software and data
    • Started a rough draft of the (chi 2021?) paper
  • Write BSO about moving Mahler to Bach/Radiohead – done
  • Started to work through the SDaaS paper with John D.
  • From models of galaxies to atoms, simple AI shortcuts speed up simulations by billions of times
    • Modeling immensely complex natural phenomena such as how subatomic particles interact or how atmospheric haze affects climate can take many hours on even the fastest supercomputers. Emulators, algorithms that quickly approximate these detailed simulations, offer a shortcut. Now, work posted online shows how artificial intelligence (AI) can easily produce accurate emulators that can accelerate simulations across all of science by billions of times.

John’s Hopkins gets dashboard of the day

Phil 3.13.20

7:30 – 7:00 ASRC PhD

  • 2:00 Meeting with Daren D? Nope
  • Working on revisions – Finished the limitations and research agenda chapter body! Now I need to add the overview and the summary. Then on to the revisit of my hut.

Phil 3.12.20

7:00 – 6:00 ASRC GOES

Phil 3.11.20

7:00 – 5:00 ASRC GOES

  • A couple more paragraphs in the revisions
  • Working on the SDaaS paper. Getting close to finished
  • Mission meeting
    • Update status to delay deliverables
    • Still waiting on data
    • Simulation running – demo tomorrow
    • Evaluate against known yaw flip
    • White papers for John D
    • 20 sims so far
    • Need to install Influx, dammit!
    • Paragraph on 400 hrs
    • Paragraph on schedule
  • Sent Erik paragraphs

Phil 3.10.20

7:00 ASRC PhD

  • Good chat with Aaron M last night. I’ve incorporated comments into the new chapter
  • Put together a Saudi #corona doc
  • Meeting with Don today at 1:00
  • ML group in Hampden today


  • More SDaaS paper. Maybe finish first draft today?

Phil 3.5.20

7:00 – 8:00-ish

  • Spent the last few days at GSAW 2020. Got to present a paper/extended abstract, and learned a lot about the ground station community. For example, I learned that The Aerospace Corporation was a Thing. Also participated in a panel on machine learning and got to tell the autonomous vehicles in a fire story. The audience paid attention! Basically, I pitched Charles Perrow a lot.
  • Started on the SDaaS white paper

Phil 2.28.20

7:00 – ASRC GOES

AirSim is a simulator for drones, cars and more, built on Unreal Engine (we now also have an experimental Unity release). It is open-source, cross platform, and supports hardware-in-loop with popular flight controllers such as PX4 for physically and visually realistic simulations. It is developed as an Unreal plugin that can simply be dropped into any Unreal environment. Similarly, we have an experimental release for a Unity plugin.

  • Added notes for the dissertation revisions
  • Working on the GVSETS paper – meeting at 3:00. Got everything into SVN and coordinated across machines.
  • Got Deep Learning with Tensorflow2 and Keras to start boning up on before the conference
  • Need to set some time aside for dissertation revisions
  • Keyword search for Shakespeare
  • Still need to fix the race conditions on file write and directory change
  • IRAD meeting. Signed up for Sim as a service, and exploit spaces white paper. Got John to pay for an Overleaf account

Phil 2.27.20

ASRC GOES 7:00 – 8:00



  • Meeting with Wayne. I got the (preliminary)
    • Combine the Limitations and Future Work chapters into a new chapter that explores where my research has landed. I think that a beachhead analogy might work here.
      • Preliminary, early work that lives in the space between computational sociology and HCC (socio-technical, from From Keyword Search to Exploration). Add discussions about wormholes, weathermaps, and maps that connect distant places, like air travel maps.
      • Diversity science
      • Gathering data on online consensus in various sized groups and within different cultures
      • Extending simulations into human belief spaces, such as with GPT-2 agents
    • Add a “my hut, revisited” section to the contributions that discusses the contributions from the perspective of the spaces defined by Kauffman, Martindale, and Bacharach in particular, but also the literature in general

Tie into this as well

Some general reworking of the contributions text to reflect the slides: This also requires expansion of the current text in CH11. In particular slides 49-52 are a stronger synopsis than is provided in your CH10 discussion. Slides 53-56 are a more thoughtful framing of your contributions, both theoretical and practical (can you weave this back in your literature from CH2 to show specific knowledge contribution?). The “bookend” revisiting ofthe trustworthy anonymous citizen journalism was also more effective in the presentation than the document. Consider capturing this.

Phil 2.26.20

8:00 – 6:00 ASRC GOES


  • Successfully defended, so I’m a PhD now!
  • Need to handle graduation paperwork by the end of the month


  • Add thread code (from here) back into scratches – done
  • Try out the multi-gpu code – it works!
    • But there is a race condition for the writing of the best and eval
    • Trying to create a smaller test case to break things and work out a fix
    • found a nice lorem ipsum package
  • Start writing up two pager for proposal
  • Meeting with John D and T about APG workshop paper. Sent T a bunch of nores later
  • Mission Meeting
    • Went over VPN, and chatted with Vadim, who’s still having joint constraint problems

Phil 2.19.20

7:00 – 8:00 ASRC GOES

  • Defense practice and tweaking
  • Continue setting up workstation
    • Java – done
    • Python – done
      • Pandas3d
      • Panda
      • Scikit-learn
      • TF 2.0
      • etc
    • TortoiseSVN – done
    • WinSCP – done
    • PuTTY – done
    • XAMPP – done
    • gVIM – done
    • MikTex – done
    • TexStudio – done
    • Adobe Creative Cloud – done
      • Acrobat- done
      • Illustrator- done
      • Photoshop – done
    • Intellij
    • Office- done
    • Project
    • Chrome- done
    • FF
    • GitHub desktop
    • Set up non-admin user
  • Mission Drive meetings