Productivity, good and bad data visualization, Fed interest rate forecast, frameworks for technology adoption, and so on. Germany’s liquefied natural gas (LNG) terminal: Breakneck LNG build-out shows Germany can move fast, Scholz say (Reuters), The Five-Year Engineering Feat Germany Pulled Off in Months (WSJ), FEATURE: Germany key to near-term European…

Howie Xu: Chat-GPT is the next “AWS” instead of the next “Google”. It presents a “computing, storage, network resource abstraction layer” that has never seen before. To be honest, I struggle to understand “abstraction layer” and how chat-gpt is an unseen abstraction layer. For me, ChatGPT already challenges Google. …

1. Last month, in the interview between Mr. Sun and Howie on “How to take advantage of the recession”, Howie and Sun mentioned the next growth engines, thinking that (1) AR/VR is not the breakthrough, but only incremental; (2) ) AIGC can enter large-scale product market fit in the very…

Fun fact from All-In Pod E99: The title “data scientist” comes from Facebook at around 2008, when a PhD from Google joined FB but was offended with the title “data analyst”. How to take advantage of a downturn/recession by Howie Xu and Zhengyi Sun: Today, less bubble and more uncertainty…

Research shows Econ & other PhD students suffer from high depression/anxiety. Here is my practical guide for how to find a therapist that can help you navigate: Your school’s wellness center is a starting point. Usually they provide limited amount of counseling, ranging from 6 to 12 weeks. I’ve heard…

Here are 3 very useful links for simple “STATA to Python” transition: Documentation of Pandas: https://pandas.pydata.org/docs/getting_started/comparison/comparison_with_stata.html Daniel Sullivan’s STATA to Python equivalents, Daniel created his own package “econtools” for many basic regressions: http://www.danielmsullivan.com/pages/tutorial_stata_to_python.html Alex Bell’s Python tutorial for economists (more complete introduction): http://alexbell.net/pyseminar.html

Writing a statement of teaching/research is sometimes frustrated. Where should I get started with? Reading some samples give me a sense to frame my own writing all the time. Here are the samples by Professor Carlos Hurtado Research Statement: https://facultystaff.richmond.edu/~churtado/Research_Statement_CH.pdf Teaching Statement: https://facultystaff.richmond.edu/~churtado/Teaching_Statement_CH.pdf

Collecting lots of things from Twitter in case one day I will use them. Data@Urban - Medium Read writing from Data@Urban on Medium. Data@Urban is a place to explore the code, data, products, and processes that…medium.com Urban Institute has lots of stories, open datasets, and tools! Berkeley urban resources: https://guides.lib.berkeley.edu/c.php?g=4395&p=637861

On Git and Github for Version Control: Git intro handout: https://www.dynare.org/houtan/assets/handouts/git_1_new_with_smartgit.pdf Git for Economists (by Francis DiTraglia): https://github.com/fditraglia/git-for-economists On Coding Use Sublime or Atom as coding editor: https://acarril.github.io/ Tabula is a tool for liberating data tables locked inside PDF files: https://tabula.technology/ On Latex