tony_cannistra

> Zotero is open source and developed by an independent, nonprofit organization that has no financial interest in your private information. With Zotero, you always stay in control of your own data.

Refreshing as a cool breeze on a hot summer's day.

I really love US Mobile. I was a flagship postpaid $90/mo VZW customer for a decade and was so hesitant to switch. It's been 4 years now, and all I can say is that I can't believe I waited so long.

To an extent there are incentive structures that support what you're describing, but the reality is that they just don't hold the same amount of value as "results-based" publishing does.

100 percent. I'm guilty of doing this wrong in the beginning of my PhD, and it was the biggest hurdle I needed to learn how to overcome. It's easy to try to force problems onto methodologies; it's much harder (and more interesting!) to try to solve real problems with the best available tool for the job.

Absolutely. There are a few excellent projects in this vein, as well - where deeper investment in data gathering, done in ways to optimize its broad use in research, is occurring.

An example is the National Science Foundation NEON project, which is a long-term ecological monitoring initiative with common field methodologies across 81 North American sites. https://www.neonscience.org/

I have a PhD in Ecology and a BS in CS. I find the bifurcation portrayed here exaggerated. The best modern ecologists merge rigorous fieldwork with advanced modeling; we need to harness vast, underutilized datasets, not just generate new ones.

The 'computer scientist' quote illustrates a frustrating trend: tech-centric 'drive-bys' that lack the ecological context required for good science. On the flip side, the 'old guard' who ignore modern data assimilation are leaving massive potential on the table. The field is rightfully shifting from site-specific anecdotes to foundational, broad-scale work, but we need both skillsets to do it justice.

These are the on-device model APIs for apple: https://developer.apple.com/documentation/foundationmodels

If you're looking for an excellent supplier of einkhorn, I'd suggest Bluebird Grain Farms. (They're local to me, so I'm a bit biased of course. But they are a great group, and their flours and grains are excellent).

https://bluebirdgrainfarms.com/

kinda -- but then you have to re-bookmark it every time you update it...

I looked into this a little because I was curious. I guess the ostensible "national security" rationale (which clearly is not the only reason!) for this is that turbines severely degrade the utility of radar surveillance along the coastlines.

This is particularly relevant for low-altitude incursions and drones.

Now, other large governments (UK) have resolved this in several ways, including the deployment of additional radars on and within the turbine farms themselves.

So clearly this is politically motivated, and they're using what seems to be a real but solveable concern as a scapegoat.

Don’t do this.

almost definitely!

This article will help you. https://www.construction-physics.com/p/how-does-the-us-use-w...

> ...actual water consumed by data centers is around 66 million gallons per day. By 2028, that’s estimated to rise by two to four times. This is a large amount of water when compared to the amount of water homes use, but it's not particularly large when compared to other large-scale industrial uses. 66 million gallons per day is about 6% of the water used by US golf courses, and it's about 3% of the water used to grow cotton in 2023.

Fun article, but the comments did it for me. Just a reminder of a different Internet.

Been around for a long time indeed. I first learned literate programming in college at Tufts, from Norman Ramsey. He wrote noweb[1], an early implementation of Knuth's ideas.

[1]: https://en.wikipedia.org/wiki/Noweb

Nice. This is also how recent advances in ML weather forecasting work. Weather forecasting really is just "video generation" but in higher dimensions.

I'm no teetotaler, but this article is wildly misleading. Many of the longevity benefits claimed are just selection bias.

Actually it's "uh-voyd youz-ing in so-shul si-tu-a-shuns"

Enough. The number of available H1-B visas available each year has not changed since 2005.

https://www.americanimmigrationcouncil.org/research/h1b-visa...

I have to assume there are folks out there for whom the maximum chonky appearance is appealing.

I think we still have some room to grow there in terms of aesthetic for the majority though.

undoubtedly a progressive achievement in the field, despite it all

nice! yes, that's what I was suggesting for sure. You could put waypoints with contact info in a folder, and share that? Wouldn't obviously be useful for people without the apps.

nothing wrong except that it might be a distraction, which sometimes is good and sometimes would be better avoided.

"Invest in projects, not papers."

This is excellent advice, and in my experience does not represent the intuition that many young (and not so young) researchers begin with.

Papers come from projects and, if you care, good projects can yield many good papers!

If you live in the US, you can get parcel information from your local tax assessor's website, usually. Sometimes it's devoid of owner information. Such cases usually require going to a company like ReGrid or Corelogic to purchase the data.

I work for a company (onXmaps) which produces user-friendly maps of such information. You could use our app to create such a "rolodex" of your neighborhood, by annotating individual parcels with your neighbors' information.

https://onxmaps.com

yes, certainly. The biggest impact with respect to precipitation is likely a shift in the precipitation regimes (liquid/frozen; frequency/intensity of storms, etc).

I love the attention to detail. As another commenter pointed out, while this is perhaps true for Boulder, you'll have to acknowledge not only that Boulder experiences a rather distinct climate from the rest of Colorado, and that Boulder is hydrologically disconnected from the Colorado river basin, which is the subject of this discussion.

Furthermore, as the OP's article alludes to, snow _amount_ is only one component that contributes to water availability, particularly its timing. Larger amounts of snow that melt very fast in the spring create a novel regime that our current systems aren't well-suited to support, for example.

> Generally speaking similarly sized homes in Boston will consume more energy for HVAC than Phoenix will simply because heating homes in cold winters is often more energy intensive than cooling in the summer.

This is true, and I definitely agree that the majority of the work to match consumption with water availability lies in the hands of agriculture.

With that said, it's important to recognize that the CO basin states (AZ, WY, UT) have some of the highest per-capita domestic water use figures in the nation - far above the national average.

https://pubs.usgs.gov/of/2017/1131/ofr20171131.pdf

In the context of managing water resources in an increasingly variable future, it's very important to quantify the relative impact of these kinds of factors on streamflow.

While perhaps it might be intuitive to you that transpiration impacts streamflow (which, if it is, you should consider a career in water resource management!), it's not sufficient to stop there when trying to model the future.

Indeed. Worse, it's likely that "one of these years" will turn into "most of these years" before long.

It sounds like you know this already, but the core issue here is that the 1922 agreement which divided the river's flow to various stakeholders overestimated the amount of water in the river even before the impacts of our modern warmer, drier climate.

We're left with the consequences of this overestimate mostly in the form of gridlocked renegotiation conversations as the agreement is reworked for the modern resource scenario.

Probably the biggest tl;dr here is: it's not going to be 60 million people fighting over water. It's going to be far fewer, and they're all alfalfa farmers.

They are using a service called Article Galaxy, which is just a proxy that pays for per-article access when individual users request it. MIT Libraries get the bill from Article Galaxy.

The article states that MIT pays $300,000 annually for individual request fees, far less than the prior contract amount.