Wouter Koch β˜‘οΈ

175 Followers
341 Following
211 Posts

Biodiversity Informatics guy (he/him) @Artsdatabanken. PhD in #Biology on improving utilization and collection of #CitizenScience data, using tools such as #MachineLearning. Proud dadΒ³.

πŸ”“ Open licenses, -data, -science, -source, -hardware, -borders, and -minds. πŸ‡³πŸ‡±πŸ‡³πŸ‡΄πŸ‡ͺπŸ‡ΊπŸ€˜

GitHubhttps://github.com/WouterKoch/
iNaturalisthttps://www.inaturalist.org/people/wouterkoch
ORCiDhttps://orcid.org/0000-0001-9025-9486

Yesterday I finished reading Digital Minimalism, and watched @TechConnectify 's video "Algorithms are breaking how we think". Because, well, the youtube algorithm suggested it. And it was right.

Today I installed LeechBlock like a good boy. Next up: woodworking.

https://bookwyrm.social/book/38052/s/digital-minimalism

https://youtu.be/QEJpZjg8GuA

Digital Minimalism - BookWyrm

The key to living well in a high tech world is to spend much less time using technology. In recent years, our culture's relationship with personal technology has transformed from something exciting into something darker. Innovations like smartphones and social media are useful, but many of us are increasingly troubled by how much control these tools seem to exert over our daily experiences – including how we spend our free time and how we feel about ourselves. In Digital Minimalism, Newport proposes a bold solution: a minimalist approach to technology use in which you radically reduce the time you spend online, focusing on a small set of carefully-selected activities while happily ignoring the rest.

I fixed a tiny bug in an open source repo. A small step for others, a giant leap for this solo-coding non-it-guy.
Filters ❀️

Very cool initiative by Caroline Hu (not on here)

https://bit.ly/sciencecomicscollab

Spring 2024 Science Comics Collaboration

Thank you for your interest in being a scientist collaborator! This project is part of the brand new Science Communication & Comics course at Massachusetts College of Art and Design. The course is designed for advanced undergraduate students and will be led by myself, Professor Caroline Hu. As a scientist collaborator, you will provide your research material and field expertise. The student will be bringing their skills in illustration, design, and storytelling. I will facilitate and be a resource for you and the student every step along the way! A successful collaboration will exercise your science communication skills and deepen the student's understanding of scientific knowledge and the research process. You may use the final comic for publicity and educational purposes and the student can use it as a portfolio piece. What will be asked of you: Written summary of your science communication goals. Who, what, and why? A peak behind the scenes of doing science. (e.g. examples of raw data, photos of workstations, etc.) An initial half hour virtual meeting with the student and three rounds of feedback (script, sketches, and finishes) over email. An outgoing survey about your experience. What the student and I will do: Do necessary background research to become familiar with foundational concepts and visualizations of your science. Develop visual vocabulary to depict the science in comic form. Script, sketch, and finish 4 page comic. Incorporate your feedback to ensure scientific accuracy. Eligibility Graduate students, post-docs, faculty, and staff actively engaged in scientific research are welcome. Open to all scientific fields. If you are interested in participating, please fill out your information below by February 1, 2024. I will notify you if you have been selected for a collaboration by February 8th and we will get started shortly afterwards. This project will be students' primary focus for the months of March and April and will wrap up by May 3rd. Signing up does not guarantee a collaboration will happen this spring, since the class is only ~15 students. If this pilot run is successful, there will definitely be future opportunities! Any questions? Please email me at [email protected].

Google Docs
Postdoctoral Fellow in Natural History and Machine Learning (244542) | NTNU - Norwegian University of Science and Technology

Job title: Postdoctoral Fellow in Natural History and Machine Learning (244542), Employer: NTNU - Norwegian University of Science and Technology, Deadline: Thursday, May 25, 2023

Jobbnorge.no

Final chapter of my #PhD just got published, guess I'm really done now. Unreal.

Recognizability #bias in #CitizenScience photographs

https://doi.org/10.1098/rsos.221063

Recognizability bias in citizen science photographs | Royal Society Open Science

Citizen science and automated collection methods increasingly depend on image recognition to provide the amounts of observational data research and management needs. Recognition models, meanwhile, also require large amounts of data from these sources, ...

Royal Society Open Science
This filter has instantly fixed my home feed. If I wanted to see tweets, I'd be on twitter myself...
Today I learned that #mealworm larvae can naturally biodegrade Styrofoam! Cool little experiment at #NTNU, chemical analysis of the resulting compost will be really interesting... Nice of the researchers to spell out "yummy" for their #insect friends.