Dennis Alexis Valin Dittrich<p>A job-based assessment of economic complexity: from hidden to revealed <a href="https://arxiv.org/pdf/2507.05846" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/pdf/2507.05846</span><span class="invisible"></span></a><br>"… develop a multipartite framework to connect four layers of nodes: <a href="https://fediscience.org/tags/skills" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>skills</span></a>, <a href="https://fediscience.org/tags/occupations" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>occupations</span></a>, <a href="https://fediscience.org/tags/industries" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>industries</span></a>, and US counties. From the skill-occupation network, we algorithmically compute an assessment of the economic <a href="https://fediscience.org/tags/complexity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>complexity</span></a>, or fitness, of jobs. Then we compute our estimate of the complexity of industries by averaging the fitness values of the jobs active in a specific industry. Finally, the fitness of US counties is the sum of the complexity of the industries that operate in that territory.<br>… approach has a number of advantages. First, it allows for a natural inclusion of services, a fundamental aspect that is often neglected in the economic complexity investigations because of data unavailability. Second, it permits the computation of the fitness of those counties with a small or null manufacturing activity. Third, it solves the numerical problems of the algorithmic assessments of the economic complexity indicators, namely the presence of very small values and the emergence of multimodal distributions. Even more importantly, the hidden complexity is positively associated with local economic <a href="https://fediscience.org/tags/growth" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>growth</span></a> and predicts both wage levels and labor <a href="https://fediscience.org/tags/productivity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>productivity</span></a> growth"<br><a href="https://fediscience.org/tags/wages" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>wages</span></a> <a href="https://fediscience.org/tags/LaborEconomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LaborEconomics</span></a></p>
Administered by:
#complexity
3 posts3 participants0 posts today
Oh, wow, who would have guessed that #recycling intricate, high-tech #solar #panels isn't as simple as tossing a soda can into a bin? 
Let's have an #electrical engineer explain the #complexity while we're still trying to figure out why there are two Canadas on the list. 
https://theconversation.com/why-recycling-solar-panels-is-harder-than-you-might-think-an-electrical-engineer-explains-259115 #engineering #environmental #issues #solar #energy #HackerNews #ngated
The ConversationWhy recycling solar panels is harder than you might think − an electrical engineer explainsRecycling solar panels seems like a smart idea, but it’s complicated. Built to withstand years of wind and weather, solar panels are designed for strength, not easy breakdown.
Whenever there is a sticking point, ask, "are we staying true to the vision?".
— 37Signals
Efforts to reduce animal experiments are important and should be pursued. But despite progress in #AI, #organoids, and #InSilico models, I’m not convinced we’re there yet — especially in #neuroscience, where #complexity and systemic #context matter. However, I do think we should stay committed and aim for reduction by all available means. I recently came across this article, which gives a good overview of the current state of the field:
GEN - Genetic Engineering and Biotechnology News · Why We Still Need Animal Research in a World of AI and Organoids
Well-designed components are easy to replace. Eventually, they will be replaced by ones that are not so easy to replace.
— Sustrik's Law
New paper!
How can we detect the presence of communities in networks with higher-order interactions? For instance, by maximizing hypermodularity! Also, this formulation will allow you to leverage tensor spectral methods to do it. Additionally, the paper also argues that the "overfitting" of modularity methods is actually just people applying them where they are not supposed to be used. And, as a byproduct, there is an explanation of why higher-order SVD works so well in classification tasks in machine learning. Oh, the code is available to use in your own projects (link in the first comment). And moreover, the code includes an efficient data structure for higher-order networks that is independent from the community detection method and that you can also use in your own work. 
https://journals.aps.org/prresearch/abstract/10.1103/58dr-wktc
"Thank you for calling Web Dev. How may we complicate things for you?"
The ever-increasing complexity of web development and the ever-increasing list of dependencies we end up including.
https://newslttrs.com/thank-you-for-calling-web-dev-how-may-we-complicate-things-for-you/
Newslttrs · Thank you for calling Web Dev. How may we complicate things for you?How web development became a never-ending spiral into greater complexity and frustration.
An evolving system increases its complexity unless work is done to reduce it.
— Meir Lehman
New paper!
If you want to assess the stability of the synchronization of a system of identical oscillators, you can use the Master Stability Function. However, what do you do in a real-world case, when the elements of the system are not exactly identical? We show how to extend the formalism and use it also when there are many-body interactions, such as in a simplicial complex.
https://journals.aps.org/prresearch/abstract/10.1103/ml7b-r35h
Continued thread
This chart is fantastic, but probably too small to read here. (Page 9 of the PDF linked initially.)