Jens Lindemann

Finally published with LUP Student Papers: lup.lub.lu.se/student-papers… Thesis about official development assistance, decoloniality, historical institutionalism, and public administration research. Development Studies @lunduniversity and @pol_LU @MilkaIvHa @MatsFred1

Interesting brief online article by @IYNForg about the degrowth perspecitve: iynf.org/2024/10/beyond… #economy #degrowth #sustainabledevelopment

@MilkaIvHa @pol_LU Congrats for new position in CPH and same wishes from me :)💐

From my lovely students💐It feels extra special since I am leaving @pol_LU I will definitely miss the smart and talented Lund students!

I just learned that Boris Barth died last autumn. Am glad that I took both his lecture about European expansion @UniKonstanz and his seminar @UniKarlova. He was a great historian. #History

My short article about chances and challenges of European University Alliances was published last month with @EU_RESEARCH: issuu.com/euresearcher/d… supported by @bwstiftung and @HRK_aktuell (Brussels Office) #HigherEducation

Let's be more Olso. 8/8

If this was in Prague, the little girl would be detained.

Every Data Scientist needs to know these ideas. They will blow your mind. 1. Correlation vs Causation P(A | B) is the probability of A given B. It is the probability that we will observe A given that we have already observed B. P(A | do(B)) is the probability of A given do(B). It is the probability that we will observe A given that we have intervened to cause B to happen. In this context, an intervention simply means to take an action of some kind. Therefore do(B) means to take an action which causes B to happen. The expressions P(A | B) and P(A | do(B)) might seem very similar but they represent very different situations. 2. We can only learn P(A|B) from the data alone. Bob has an extremely accurate weather app and is always very good about bringing his umbrella when it rains. We observe Bob over several years and we find that whenever it rains, Bob always has his umbrella and he never brings his umbrellas on days when it doesn't rain. In the language of probability, we say P(Umbrella | Rain) = 1 and P(Rain | Umbrella) = 1 as well. What we can learn from this data alone is how to predict whether it rains with a 100% accuracy by checking whether Bob has an umbrella. We can also learn to predict with 100% accuracy whether Bob has an umbrella by checking if it's going to rain. What we cannot learn is what will happen if we give Bob an umbrella on a random day of our choosing. The answer to this question is P(Rain | do(Umbrella) ) and it's unknowable from the data alone. We need prior knowledge about how the world works to properly interpret the data we collected. We need to know that rain has an effect on Bob's behavior, but Bob's behavior has no effect on the rain. Information about the effects of interventions are simply not available in raw data unless it is collected by controlled experimental manipulation. 3. Scientific Experiments work because they produce a very special kind of data. You may have heard of what many people call a scientific experiment. Take a collection of objects, animals or people. Randomly split that collection into a control group and a treatment group. Apply your intervention to the treatment group while leaving the control group alone. If you observe any differences between the treatment group and the control group, it is logical to attribute these differences to the treatment. You can therefore say the differences were caused by the treatment. In statistics, the procedure I just described is called a Randomized Controlled Trial. It is a procedure for generating a specific kind of data where: P(Difference | Treatment) = P(Difference | do(Treatment) ) This is why traditional science experiments work. They are designed to capture causal information. This is not the case for vast majority of data that we collect in society. Without human guidance or access to real world knowledge, statistical algorithms and artificial intelligences can only learn P(A | B) from the raw data. This is a fundamental mathematical limitation on the use of data alone. That's it for now. This post is part of a series of posts about the concept of causal inference. They are based on the content of the Book of Why by Judea Pearl with lots of commentary from me. Follow me (@kareem_carr) so you don't miss out on the next post. Please show support by liking and retweeting the thread.

@tonyingesson Velkommen til tyske ontology of bureaucracy ;)

Apparently there is disturbance in Swedish global development research because the government intends to cut off enormous amounts of funding. Most important point to my reading: The government confuses humanitarian needs with development research. aftonbladet.se/debatt/a/VPXmg…

@BBWMagazine @jarvbone @OnyxBrass @blackdyke @briggusbb @fodensband @Euph_Foundation @BTM_Band @hammondsband @meadeuph @childseuphonium @bassbonechris @LisaFitzLom @NYBBGB @NYBBS I also love trumpet music and play myself (just started with a historical and refurbished Bohemian flugelhorn again). But I am far from being professional enough to be featured @BBWMagazine, at least from the perspective of music complexity... You meant @trumpetjens for sure :)

New edition of @BBWMagazine out now! Tributes to James Shepherd plus @jarvbone @JensLindem @OnyxBrass @blackdyke @briggusbb @fodensband @Euph_Foundation @BTM_Band @hammondsband @meadeuph @childseuphonium @bassbonechris @LisaFitzLom @NYBBGB @NYBBS Visit: brassbandworld.co.uk 🎶

@KubatovaHana Good job. It will be great to read after publication.

But what should I do now?

@LukasLei Was hat das mit der Statistik-Vorlesung von Shikano zu tun?

@JensLindem Hä nur weil du Shikano überlebt hast? Hör auf zu flexen! 😬

I met a number of (PhD) students over the past years who actually really believed empirical = quantitative.

film festival: Great documentary ‘How I became a partisan’@jedensvet dokweb.net/database/films…

Pro-government mobilization in authoritarian regimes is really one of the topics I enjoyed reading about during studies. #autocrat #protest

@ZdenekHrib I am this week in Lund, Sweden, and here the combination of bus, walking, cycling, tram, connectedness to fast long-distance trains, delivery transportation, and very very few but slowed down individual cars works excellent. Just get rid of the cars in Prague. Most will like it.

V centru Prahy není kde zaparkovat v garážích. Akorát že vůbec! 🙂 Volná místa v garážích jsou, jak jsme si sami ověřili. Zaparkovat šlo třeba hned u Národního divadla, na Náměstí Republiky nebo u Rudolfina (což je dokonce jen půl kilometru od Karlova mostu). (1/2)

If you take ONE single message out of grad studies this one it should be :)

Czech political economy is slipping out of hand.

@malajankaa @PiratIvanBartos @mar_cvk @PiratskaStrana Dr. Michailidu, don't let yourself be put down by conservatives in this matter. Left opinions deserve their place in the Czech discourse. It looks like that @PiratIvanBartos is publicly offending you like this only out of political opportunism and ideological confusion.

@PiratIvanBartos @mar_cvk @PiratskaStrana cože prosim? viděl jsi vůbec, na jakých přednáškách jsem tam byla? týkaly se role avantgardního umění v revolučním hnutí a ukrajování lidských práv v současném Polsku a Maďarsku. můžeš mi laskavě říct, co z toho je PROVOKACE? a proč tady zas jedeš nějakou antikomunistickou ódu?

Budou se od tohohle @PiratskaStrana @PiratIvanBartos distancovat, nebo to budou tolerovat? Pokud se nedistancují, znamená to, že tolerují komunismus - spolu s nacismem nejodpornější totalitní ideologii, kterou tahle planeta poznala.

@ZdenekHrib Looks as a solid nature-based solution. If initial experiences prove feasible, please implement for whole Prague.

Kromě toho se věnujeme i následné péči o stromy. Průběžně zaléváme stromy vysazené v posledních třech letech. Případně zaléváme i starší stromy, které takovou péči potřebují. Zalévání pak sledujeme díky měřákům na hadicích cisteren a jejich GPS polohám. Konec 🧵

Sázíme v ulicích Prahy 1000 stromů podle pravidel té nejlepší péče! 🌳 Od podzimu do letošního jara vysázelo @TSKPraha přes 700 stromů a dalších 150 ještě brzy přibude. (Na fotce můžete vidět například nově zasazený strom v Betlémské ulici přímo v centru města). 🧵 (1/5)