'A Comparative Evaluation of Quantification Methods', by Tobias Schumacher, Markus Strohmaier, Florian Lemmerich.

http://jmlr.org/papers/v26/21-0241.html

#classifiers #supervised #quantification

🎤 Keynote Speaker : Valérie Charolles 🎤

Philosophe, chercheure au CNRS & à l’EHESS, Valérie Charolles s’attaque à un sujet… qui compte. Littéralement.

👉 "Nos manières de compter, périls économiques, démocratiques et écologiques."

Valérie Charolles nous invite à questionner la domination des chiffres, leurs normes implicites, et l’impact qu’ils ont sur nos sociétés, nos démocraties, et notre planète.

📅 Rendez-vous les 29 & 30 avril à CPE Lyon pour MiXiT 2025 !

👉 Le programme complet est ici : https://mixitconf.org/2025?agenda=true

#MiXiT2025 #Keynote #Philosophie #Quantification #Économie #Écologie #Démocratie #TechForThought

"Rather than using metrics as the sole truth when it comes to assessing academic performance, we should put them in perspective. We could do this by complementing quantitative metrics with qualitative information. Narratives, discussions of assumptions, and explanations can give back much-needed context to interpret metrics. Read a job candidate’s working paper instead of counting her publications in journals. Metrics can be great conversation starters, but should not replace our understanding of what (a) good research(er) is.

If we don’t change our use of metrics, research quality itself may suffer. Peter Higgs, the Nobel laureate who passed away last year, warned in an interview: “Today I wouldn’t get an academic job. It’s as simple as that. I don’t think I would be regarded as productive enough.” The pressure to produce and perform in the short term can come at the expense of scientific progress in the long term. A more critical stance towards metrics and rankings is essential if we want to enhance the quality and credibility of research."

https://www.socialsciencespace.com/2025/01/how-research-credibility-suffers-in-a-quantified-society/

#Science #SocialSciences #Quantification #Universities #Academia #HigherEd #Metrics #Rankings #AcademicPublishing

RT by @cleanenergy_EU: 🎅 All ready for the holidays? There is probably one thing left to do...

🎤 Register to our new #webinar with @MICAT_EU, #ODYSSEEMURE & #Inherit on #quantification tools to design and implement targeted solutions to effectively reduce energy poverty👉 https://ieecp.org/events/quantifying-the-impact-addressing-energy-poverty-through-efficiency/
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https://nitter.privacydev.net/RENOVERTYLife/status/1869380932312109112#m

I learned about cycling-related Eddington numbers recently.

Your Eddingon number is the largest integer n such that you have ridden at least n kilometers on at least n days (not necessarily consecutively: any days at all).

I wrote some code to find mine.

With data from 2001 to 2024, my Eddington number is 102. (I rode for many years before 2001, so my true number is somewhat (maybe just a little) higher, but records are scarce.)

So, I have ridden at least 102 kilometers on at least 102 days, and I have not ridden at least 103 kilometers on at least 103 days. In fact, I've ridden at least 103 kilometers on 101 days, so I'll need to do that just twice more to get my Eddington number up to 103. Sounds like a nice goal for 2025.

One can also use miles. An amusing thing to note is that you cannot simply convert the Eddington number in kilometers to the Eddington number in miles as you would a distance.

My Eddington number in miles is 68. 68 miles is about 109 kilometers, so my Eddington number in miles is both larger and smaller than my Eddington number in kilometers.

One can, of course, apply this to running, walking, swimming, or really any other quantifiable activity. What would be some interesting activities to apply this to?

One can also restrict the time period and look at one's Eddington number for, for example, single years. In the period 2001-2024, my (km) numbers ranged from 25 to a max of 61. The last time I was at or above 40 was 2017 (I've been in a slump since then).

Let me know if you'd like the (simple) code I wrote to calculate these numbers.

Let me know your Eddington number(s)!

https://en.wikipedia.org/wiki/Arthur_Eddington#Eddington_number_for_cycling

#eddington #cycling #quantification #EddingtonNumber