do you guys listen to any podcasts?

I'd like to have something to listen to during long walks or runs! I used to listen to audiobooks but I'd actually perfer a podcast on history or science-y things, detailed stuff is good (no politics etc).

dunno where to find them

It's always fascinating to hear someone utter an idea or set of #ideas that you've had but not heard others talk about. Yesterday, I had an experience like that while listening to the #podcast episode below. The guest and I seem to both want for more #economics #scholars to think in a what-if manner and make real the things that they suspect would provide significant societal benefits. Sort of entrepreneurial scholasticism.

164: Nicholas Gruen on Data Sharing and Reform in Economic Thinking by Economic Rockstar
https://player.fm/1tZMUx #nowplaying

@bthall if i'm not mistaken, this already exists. for example, if you're in a julia shell, you can type

?≥

and you get this:

help?> ≥
"≥" can be typed by \ge<tab>
search: ≥

>=(x, y)
≥(x,y)

Greater-than-or-equals comparison operator. Falls back to y <= x.

Examples
≡≡≡≡≡≡≡≡≡≡

julia> 'a' >= 'b'
false

julia> 7 ≥ 7 ≥ 3
true

julia> "abc" ≥ "abc"
true

julia> 5 >= 3
true


: Docstrings for math functions/operations. With you can use Unicode, so you could even use general purpose symbols for function names.

@bthall I would try visualising the data points from both perspectives. I've found RapidMiner a good software (non free for productive purposes) for doing this. It allows you to apply most data science algorithms, visualize them and find connections or new data points. Once I find a good representation of my data, I can move the actual implementation to something more efficient (R, Numpy, scikit, etc)

For people here familiar with or , have you heard of methods that bring together the two approaches?

For analyzing my wiki's contents I could analyze the explicit linkages between articles with graph theory and the implicit linkages with text mining, but I wonder about how much better it'd be to analyze both graphs. I think that in textmining creates a graph representation anyway, so it may just require tools for integrating two related graphs.

@RaoOfPhysics Sure, just switch over to game studies.

I'm current tinkering with the #Wallabag #android app to see if I can get #MathJax rendering working in it to nicely render mathematical equations written in #LaTeX. So far I have the base script running on my phone, but I didn't realize that I need to load in a bunch of additional files to get it to work, so I'm working on getting the additional files loaded in. Not bad progress for a guy that barely understands #AndroidStudio. :D

Scientific conference poster sessions: what you need to do.
Step 1: Remember to bring your poster with you.
Step 2: Make sure it's securely fixed to the board.
Step 3: Stand nearby in case someone has questions.

I have been experiencing an inverse Dunning-Kruger effect over the last few years. I have realized that literally everyone is better than me at something, and so I am much better off collaborating with them than trying to work on my own.

@bthall In broad strokes, yes, but the devil is in the details.

I suspect that I've run into a situation where designing and running simulations is relevant.

I came up with a basic formula that I think might provide a simple way of inferring something about a statistical distribution, but it'd be nice to produce a way of testing my idea against generated distributions. :)

Do any of you have experience with this manner of thinking? Is this indeed what people do when they use simulations?

what tools do you use for personal academic 'project management'? tracking status of papers/studies, stuff to read/prioritize reading, tracking cfps and conferences of interest, various sizes of to-do lists...? one tool or a toolkit of varied apps?
(doesn't necessarily need to be shareable, but some parts could extend to co-author communication)

Oh! This is a nice paper summarizing a lot of information about prior choice in Bayesian models. It's targeted at ecologists and the kinds of models they tend to use, but useful outside of ecology I expect.

onlinelibrary.wiley.com/doi/ab

@mpjgregoire
Yeah, but I'm not sure that I can search them from a file browser. I should probably check that, first. 😂