"Your manuscript 'Don't Pay $25 to Access Any of the Articles in this Journal: A Review of Preprint Repositories and Author Willingness to Email PDF Copies for Free' has also been rejected, but nice try."
But also, besides adding my own quote, if I may comment on yours... it is surprisingly useful to understand why quantum computing (and quantum technologies) are interesting.
Indeed, working with quantum tools to do logic actually changes logic rules!
"Don't say 'it can't be done', say 'I don't know how to'".
It was probably 10th grade, a science class, and it referred to a particular chemical reaction, but it's usable in a surprisingly wide range of contexts!
Actually, it was in Spanish and to me it was subtly different, since the "yo" is optional so including it is emphasizing that it is oneself in particular that does not know:
"No digas 'no se puede', di 'yo no sé'".
Please share a quote or idea from your lower-ed days that has stuck with you.
"When you change the tools, you change the rules." —Mr. Funk, middle school humanities teacher
On which continent/region are you?
Sur quel continent êtes-vous ?
Auf welchem Kontinent sind Sie?
¿En qué continente estás?
Em que continente você está?
في أي قارة أنت؟
На каком вы континенте?
In quale continente ti trovi?
Na jakim jesteś kontynencie?
आप किस महाद्वीप पर हैं?
Je! Uko bara gani?
در کدام قاره هستید؟
어느 대륙에 있습니까?
Sur kiu kontinento vi estas?
Because that's your local instance you can do this pretty easily
Switch advanced web interface (turn this on in preferences->appearance)
Search for introductions which adds your search as a column.
Then toggle the column to be local only.
I am still in the process of figuring out precisely what I want to study, but I'm fascinated by economic theory — the models and the process of developing models and critiquing and applying them.
Assuming that I'm understanding the second paper correctly, it even suggests that we can figure out which areas of theory (its explanatory/causal models) can likely be improved with greater or lesser amounts of additional effort (driving potentially greater research efficiency). This is by comparing the predictive accuracy of explanatory models to the predictive accuracy of predictive models, which are able to pull on potentially more sources of information.
3. At this time, many fields, especially the social sciences, almost exclusively teach and use explanatory models and methods, even when their research goals are predictive in nature and would be better served by using predictive methods and models.
4. Predictive methods don't need to be used in isolation; they can be used to further the theory in a domain and its explanatory (causal) models. (See the second paper for *how*.)
The presentation sensitized me to a few big things:
1. Research goals and theories can have either an explanatory/retrospectively descriptive nature or a predictive/forward-looking nature.
2. Depending on the type, the research can and likely should be conducted differently.
I've really been enjoying these two papers since watching a video presentation about the first one:
1. Shmueli, G., "To Explain or To Predict?", Statistical Science, vol. 25, issue 3, pp. 289-310, 2010.
- Video presentation: https://youtu.be/whD2sYFHW8c
2. Shmueli, G., and O. Koppius, "Predictive Analytics in Information Systems Research", MIS Quarterly, vol. 35, issue 3, pp. 553-572, 2011.
PDFs available here: https://www.galitshmueli.com/biblio/term/Explain-Predict
#statistics #theory #modeling #prediction
So, I was supposed to facilitate a workshop earlier this week on non-disposable and renewable assignments in philosophy classes. Unfortunately I was sick, and as the workshop was at an in-person conference, I ended up cancelling so as not to spread my illness.
However, I put a lot of work into a handout for the workshop, with a link to an even longer doc with more info! https://blogs.ubc.ca/chendricks/2022/04/11/handout-workshop-renewable/
Scholar.social and #academics on other instances: any interest in a virtual writing group this summer? I've chatted with a few people who are looking for such support.
I, for instance, don't really know how much more it'd cost me to switch to renewables, though my electricity provider vaguely provides the option to pay more for it.
Are any of you familiar with a data source that shows the ratio of the price of renewable electricity to the price of nonrenewable electricity?
I've seen similar charts in the crypto space (framing the price of an Ethereum token in terms of # of Bitcoins, for instance), and it seems like such a thing would be useful for watching the relative prices of each and potentially leading people to switch to renewables.
#economics #energyprices #renewables #data
Bees relying on pollen microbes in their diets provides a mechanism by which some of the things we spray plants with (anti fungals and other anti pest stuff) contributes to bee decline - it takes all the meat out of their diet and leaves them with just potatoes
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