Our Episode 4 guest, Leidy Klotz, is a Professor at the University of Virginia. He studies the science of design: how we transform things from how they are – to how we want them to be. Leidy wants to apply his work outside of academia. He wants address climate change and systemic inequality, Leidy also… Continue reading “Too Lazy”: Episode 4 with Leidy Klotz
Month: April 2021
“Too Lazy”: Episode 3 with Dirk Brockmann
This episode’s guest is Dirk Brockmann. Dirk is a physicist and complex systems researcher. He’s a professor at the Department of Biology, Humboldt University of Berlin and the Robert Koch Institute, Berlin. Berfore returning to his native Germany, he was a professor at Northwestern University. Dirk is a man of many talents. His academic work… Continue reading “Too Lazy”: Episode 3 with Dirk Brockmann
“Too Lazy”: Episode 2 with Roberta Sinatra
Today is Roberta Sinatra day on #TooLazyPod!! Roberta is a physicist, an expert on science of succes, and all-round fantastic person. In the podcast, we talks about her recent paper “Success and luck in creative careers”. In the conversation, talk about a range of things and get deep into the process of creating science, the… Continue reading “Too Lazy”: Episode 2 with Roberta Sinatra
Too Lazy to Read the Paper. Episode 1
The first episode of my podcast Too Lazy to Read the Paper is out now! This inaugural episode features physicist, urban planning, human mobility and transportation scientist Marta C. González from UC Berkeley explaining the long and winding road to her paper The TimeGeo modeling framework for urban mobility without travel surveys [1]. In the… Continue reading Too Lazy to Read the Paper. Episode 1
Big data vs the right data: Thoughts on a recently competed trilogy
Along with a superb group of coauthors (Andreas Bjerre-Nielsen, Valentin Kassarnig, and David Dreyer Lassen), I recently published Task-specific information outperforms surveillance-style big data in predictive analytics in PNAS. I am very excited about this paper, which is the conclusion to our trilogy of “learning analytics” papers, based on the Copenhagen Networks Study (CNS) dataset.… Continue reading Big data vs the right data: Thoughts on a recently competed trilogy
sune lehmann 