12 Matching Annotations
  1. Oct 2022
    1. https://www.loom.com/share/a05f636661cb41628b9cb7061bd749ae

      Synopsis: Maggie Delano looks at some of the affordances supplied by Tana (compared to Roam Research) in terms of providing better block-based user interface for note type creation, search, and filtering.

      These sorts of tools and programmable note implementations remind me of Beatrice Webb's idea of scientific note taking or using her note cards like a database to sort and search for data to analyze it and create new results and insight.

      It would seem that many of these note taking tools like Roam and Tana are using blocks and sub blocks as a means of defining atomic notes or database-like data in a way in which sub-blocks are linked to or "filed underneath" their parent blocks. In reality it would seem that they're still using a broadly defined index card type system as used in the late 1800s/early 1900s to implement a set up that otherwise would be a traditional database in the Microsoft Excel or MySQL sort of fashion, the major difference being that the user interface is cognitively easier to understand for most people.

      These allow people to take a form of structured textual notes to which might be attached other smaller data or meta data chunks that can be easily searched, sorted, and filtered to allow for quicker or easier use.

      Ostensibly from a mathematical (or set theoretic and even topological) point of view there should be a variety of one-to-one and onto relationships (some might even extend these to "links") between these sorts of notes and database representations such that one should be able to implement their note taking system in Excel or MySQL and do all of these sorts of things.

      Cascading Idea Sheets or Cascading Idea Relationships

      One might analogize these sorts of note taking interfaces to Cascading Style Sheets (CSS). While there is the perennial question about whether or not CSS is a programming language, if we presume that it is (and it is), then we can apply the same sorts of class, id, and inheritance structures to our notes and their meta data. Thus one could have an incredibly atomic word, phrase, or even number(s) which inherits a set of semantic relationships to those ideas which it sits below. These links and relationships then more clearly define and contextualize them with respect to other similar ideas that may be situated outside of or adjacent to them. Once one has done this then there is a variety of Boolean operations which might be applied to various similar sets and classes of ideas.

      If one wanted to go an additional level of abstraction further, then one could apply the ideas of category theory to one's notes to generate new ideas and structures. This may allow using abstractions in one field of academic research to others much further afield.

      The user interface then becomes the key differentiator when bringing these ideas to the masses. Developers and designers should be endeavoring to allow the power of complex searches, sorts, and filtering while minimizing the sorts of advanced search queries that an average person would be expected to execute for themselves while also allowing some reasonable flexibility in the sorts of ways that users might (most easily for them) add data and meta data to their ideas.

      Jupyter programmable notebooks are of this sort, but do they have the same sort of hierarchical "card" type (or atomic note type) implementation?

  2. Sep 2022
    1. Oftentimes they even refered to one another.

      An explicit reference in 1931 in a section on note taking to cross links between entries in accounting ledgers. This linking process is a a precursor to larger database processes seen in digital computing.

      Were there other earlier references that are this explicit within either note making or accounting contexts? Surely... (See also: Beatrice Webb's scientific note taking)

      Just the word "digital" computing defines that there must have been an "analog' computing which preceded it. However we think of digital computing in much broader terms than we may have of the analog process.

      Human thinking is heavily influenced by associative links, so it's only natural that we should want to link our notes together on paper as we've done for tens of thousands of years (at least.)

  3. Dec 2021
  4. Oct 2021
  5. May 2021
    1. The scrapbooks reveal a critical and analytical way of thinking and emphasis on experimental evidence in physics, through which he became one of the early founders and advocates of modern scientific methodology. The more experience and experiments are accumulated during the exploration of nature, the more faltering its theories become. It is always good though not to abandon them instantly. For every hypothesis which used to be good at least serves the purpose of duly summarizing and keeping all phenomena until its own time. One should lay down the conflicting experience separately, until it has accumulated sufficiently to justify the efforts necessary to edifice a new theory. (Lichtenberg: scrapbook JII/1602)

      Georg Christoph Lichtenberg used his notebooks as thinking tools with respect to scientific methodology.

  6. Jun 2020
  7. Apr 2020
  8. Jul 2018
    1. What about people who don't have PhD's? Are they scientists, too? In any world in which credentials matter, the answer is no. (I describe a major exception to the rule below.) Just like getting an MD or a JD is a prerequisite to being called a doctor or a lawyer, in general, getting a PhD in the natural sciences is the prerequisite to being called a scientist.
  9. Jan 2015
    1. Building on all these sources of inspiration we did not start with some scientific concepts we wanted people to learn. Instead, we created a list of skills and behaviours that we wanted our exhibits to encourage. They included observation, exploration, pattern recognition, experimentation, mental modelling and hypothesis making.

      List of skills and behaviours that we wanted ppl to learn

    2. To develop this exhibition Life recognised that people construct knowledge for themselves, rather than passively absorb what’s fed to them, and they learn to learn as they learn.

      Aim of CZ

    1. Sobel, D. M., & Kirkham, N. Z. (2006). Blickets and babies: The development of causal reasoning in toddlers and infants. Developmental Psychology, 42, 1103-1115.
    2. Sobel, D. M., & Kirkham, N. Z. (2007). Bayes nets and Babies: Infants’ developing representations of causal knowledge. Developmental Science, 10, 298-306.