15 Matching Annotations
  1. Apr 2020
  2. Feb 2020
    1. Search committees would have to become more informed about the scientific-software landscape and culture in order to directly assess a candidate’s software contributions

      This could be a problem for software projects that have multiple contributors editing/cleaning the codes.

    2. Beyond the actual code and documentation, the open-source software-development world offers many benefits, both technical and cultural, to the general scientific practice.

      I find the idea of open-source very interesting. Readers pay a lot on annual fees for scientific journals, and not even half of that goes to the authors. Moving to open-source would cut off that business middleman, which can prove beneficial for both the authors and the readers. The author's work will be more accessible and the reader will be saving money on education. Win-Win.

    3. many additional components, such as documentation, examples, and tests, which provide rich context for the code itself

      It's great that the author explained software as opposed to just a code. I think most of us just think lines of endless codes when we hear the word "software" - which can be even worse than reading scientific papers (in context of how the author explains knowledge gain). But a reproducible code along with proper documentation, can be a very effective learning tool, especially for visual learners.

    1. "L+."/."/3"':%-".'"O+%3./'-"B$%.$%7"3+5$"6'2%(3"<%-%7,.%"7%(/,9(%"/-)'76,./'-",9'+.".$%")+.+7%>",-2".$%7%)'7%"/-"B$,."3%-3%".$%8"5'+(2"7%,3'-,9(8"/-)'76":+9(/5":'(/58

      I can't find when this chapter was published, but this question about a model's reliability and their role/ usefulness in policy formulations is still a hot topic today.

  3. Jan 2020
    1. The problem, there-fore, is the determination not only ofthe participation, but of the measureand the extent, of each of these agen-cies in the production of the complexresult.

      This is somewhat similar to the concept of how a buffered system works- where multiple forces, to some degree, affect the final state of the system.

    1. 

      In statistics, regression toward (or to) the mean is the phenomenon that arises if a random variable is extreme on its first measurement but closer to the mean or average on its second measurement and if it is extreme on its second measurement but closer to the average on its first (Wikipedia)

    1. In the scientific search for truth there are no time limits and no point at which a final decision must be made.

      I don't fully agree with this "no time limit" statement in science. Even though there isn't a hard limit by when we should figure out the truth, isn't there a loose time constraint, outside of which the "discovery of truth" isn't as much effective? For eg, isn't there an urgency to make a final decision or at least some useful decision on climate change studies/ research on anthropogenic impacts on climate?

    2. Intelligent Design

      the theory that life, or the universe, cannot have arisen by chance and was designed and created by some intelligent entity.

    3. all scientists are socialized to believe that even their toughest competitor is rigorously honest in the reporting of scientific results, which makes it easy for a purposefully dishonest scientist to fool a referee.

      very interesting, I'd never even thought about this before.

    4. all three of them help us to gain a much deeper understanding of it

      This statement sums up my view of science. I like to think of science as a bit of all three views- something that can hold different meaning depending on the location or study area.

  4. Nov 2019
    1. In the atmosphere, this mean value can change fromone half-hour period to the next, resulting in a slowvariation of the mean-wind components with time.

      We went over this in class, but are they talking about running mean for every 30 min or do we start from time 0 to t = 30 mins and then from t = 31 to t =60 min?

    2. When fast-response velocity and temperature sensorsare inserted into turbulent flow,

      Is this applicable to all kinds of turbulent flow? I just find it difficult to picture that something as random as turbulence has a set range of values and a statistical robust s. deviation signal.