Do you have a weekly or daily routine? A preferred application?

For context, I’m an ecologist that focuses on statistics and modeling and I work in a few different ecosystems. I’ve always struggled to feel like I have a good understanding of the literature and I think there are a few main reasons.

• Quantity: It’s overwhelming. There is so. Much. Research. And there’s more literally every day that is or might be relevant.
• Sources: Relatedly, there are so many journals to try to keep up with. And certainly more that I should be keeping up with that I’m not even aware of.
• Method: I haven’t found an interface that really works for me. I end up ignoring emails with journal table of contents. Scrolling through RSS feeds on Zotero or Mendeley is awful. Going to the journal websites is even worse.
• Scheduling: I block out time in my calendar, but there’s always something else I’d rather work on. It’s hard to force myself to focus on it.
• Workflow: The exploration-exploitation trade off. If I skim through all the titles of a bunch of different journals, I end up just spending the whole time downloading papers which then sit in my Zotero library without getting read. If I stop to look in more detail, I don’t get through much of the article list.
• Retention: It’s hard to read something over and really retain it. I’ve taken notes (digitally and on paper) but that adds to the time it takes to skim titles and abstracts, which reduces the number I can cover.

One of the downsides of everything being digital is that I also find it harder to skim an article and get the gist of it. Flipping through a magazine lets you skim the titles and figures to easily get the main idea. Online, I need to read the title, click in a new tab if it seems interesting, scroll around to skim the abstract, and scroll and/or click to the figures. Flipping back and forth to the abstract or different sections is also harder.

What I’d really like is something kind of like a forum or link aggregator where I could skim titles and click an expander to view the abstract and figures.

I received an email this morning from the good folks at the WHE entitled: Perplexity AI Partnership to Improve History Education

In it, their CEO Jan van der Crabben, writes:

As the most-visited history encyclopedia globally, World History Encyclopedia is pleased to announce a strategic partnership with Perplexity.ai.

…

As artificial intelligence (AI) tools based on large language models become increasingly accessible to the public, growing concerns have emerged regarding the quality of information provided by these tools. These AI systems are typically developed and trained using publicly available internet information, often without robust verification processes, and frequently generate inaccurate results.

There are also significant concerns about the business models of AI companies, which utilise content developed and meticulously checked by providers like World History Encyclopedia —a non-profit organisation— without obtaining proper consent, without providing compensation, and without offering appropriate attribution.

Perplexity.ai is an AI-powered search and answer engine that combines the capabilities of a search engine with artificial intelligence. Unlike most other AI systems, Perplexity clearly cites its sources, providing users with an easy way to verify the accuracy of its answers.

In alignment with our goal of being a trusted resource of accurate and objective historical information, we are excited about this partnership. It will allow us to develop tools based on the Perplexity API to make the content in World History Encyclopedia easier to find, browse, and access. We aim to develop educational AI tools for history learning in close collaboration with teachers to augment the World History Encyclopedia website for students.

The partnership will also enable World History Encyclopedia to use artificial intelligence to enhance our human review processes more efficiently. This includes improving tasks such as fact-checking and plagiarism detection.

Additionally, Perplexity is the first AI service that allows providers of information like World History Encyclopedia to be compensated fairly for the AI use of that information. We will receive a share of advertising revenue generated on the Perplexity platform whenever Perplexity cites World History Encyclopedia to answer a question.

I have worked with Jan and his staff many times over the last six years and I find them eminently trustworthy and dedicated to education.

What does everyone think of this kind of partnership moving forward? I understand Perplexity might have a slightly different approach that certain folks find promising.

And what kind of content do we think this might be able to generate? I look forward to your comments.

I'm an intuitive learner. I learn by constantly asking questions, the answers to which i can then effortlessly remember. By messing around and seeing what happens, and then asking why. Lecturers have been enthusiastic about my approach but said I'm going to struggle because the school system in my country wasn't designed for people who learn like this. I want to kill myself.

The way I see myself learning stuff:

• Here's a fresh store-bought kombucha scoby
• Here's a scoby from the same store that I've been growing for 6 weeks
• If I sequenced the DNA from equivalent cells in each of these scobys, would I find any differences? Why?

The way we are actually expected to learn stuff:

• Listening to a lecturer talk for 12×2 hours, and/or reading the referenced literature. Anything mentioned could be on the test.

I have been trying to do it the mainstream way anyway, but I am getting such bad grades that I've had to re-take a year. Even if I found strategies to help me focus I'd still clearly have a competitive disadvantage to people to whom this approach comes naturally. This feels unfair since I know there is a way that I could learn about my field as effortlessly as other people do listening to these lectures.

How does someone like me succeed in academia instead of just scraping through?

I understand that my prefered methpd which I outlined is what you do at PhD level. I'm afraid that by force-feeding my brain all this information that it currently sees as irrelevant, I will kill my curiousity, which I don't want to do because it's the thing that's allowed me to get this far with practically no effort (I went through the archetypal Smart Kid thing in middle school).

For context, I'm in 1st year bachelor's biochemistry (repeating the year). Although I think that at least in my country, all university courses have the format I described.

Since I am also struggling with ADHD I honestly feel like giving up on Uni and going for some sort of apprentiship-style thing. I would like to have a degree though because it's sort of a requirement nowadays and I am genuinely interested in my subject area. Alternatively, what kind of professions seek my method of inquisitively deep-diving into stuff, as I described?

Curious if there are movements within the governance or research pertaining to the field that act to promote or suppress certain ideas? Was watching the “Infinity explained in 5 different levels” and thought… maybe there are trends for or against interpretations and/or abstractions that get a rise in people…

I've been struggling with finding a good workflow for taking notes on the journal articles which I read. I collate articles using Zotero, yet its in-built notetaking features (and comment scraping from PDFs) is quite poor. So, my alternative so far has been to write up notes by hand, but this is pretty cumbersome and makes it take some time to refer to my notes. My approach is clearly not effective!

How do you take notes on the papers which you read? Do you prefer to use written notes, or do you type your notes? In any case, what is your preferred means of storing and categorising your notes? And are there particular software which you use, if you opt for typed notes? (At present, I use an A5 notebook. Yet, this is not alphabetised or organised by topic, which compounds my struggles.)

https://undark.org/2023/07/05/neglect-of-a-museums-collection-could-cause-scientific-setbacks/

IN A DUSTY ROOM in central Florida, countless millipedes, centipedes, and other creepy-crawlies sit in specimen jars, rotting. The invertebrates are part of the Florida State Collection of Arthropods in Gainesville, which totals more than 12 million insects and other arthropod specimens, and are used by expert curators to identify pest species that threaten Florida’s native and agricultural plants.

However, not all specimens at the facility are treated equally, according to two people who have seen the collection firsthand. They say non-insect samples, like shrimp and millipedes, that are stored in ethanol have been neglected to the point of being irreversibly damaged or lost completely.

When it comes to how the FSCA stacks up with other collections she’s worked in, Ann Dunn, a former curatorial assistant, is blunt: “This is the worst I’ve ever seen.”

Experts say the loss of such specimens — even uncharismatic ones such as centipedes — is a setback for science. Particularly invaluable are holotypes, which are the example specimens that determine the description for an entire species. In fact, the variety of holotypes a collection has is often more important than its size, since those specimens are actively used for research, said Ainsley Seago, an associate curator of invertebrate zoology at the Carnegie Museum of Natural History in Pittsburgh.

A paper published in March 2023 highlighted the importance of museum specimens more generally, for addressing urgent issues like climate change and wildlife conservation, with 73 of the world’s largest natural history museums estimating their total collections to exceed 1.1 billion specimens. “This global collection,” the authors write, “is the physical basis for our understanding of the natural world and our place in it.”