I've spent hours experimenting with using multiple large language models (LLMs) such as Bard AI, GPT-4, GPT-3.5 and Bing AI for academic research. They're extremely powerful but with some very painful pitfalls. Here's my guide to using LLMs as your personal research assistant:

I am going to ask a terribly framed question so bear with me: Where can I find a full course in statistics? Not the standard "statistics for social sciences" or "statistics for people who hate maths" but (continued below)

Databases like Google Scholar have limited functionality. They let you use *only* keywords to search articles. But what if you want to look up articles based on a whole paragraph, or your notes? Sourcely is an AI-powered app that helps you do that. Here's how to use it:

This visualization differs from linear regression in two very important ways. 👇

I know most #EconTwitter followers that use Stata know this, but Asjad Naqvi 's Stata Guide is unbelievably useful. I went from having no visualization with maps skills to making nice looking maps for a project I'm working on in literally one day. medium.com/the-stata-guide

Somebody reached out to me asking for help with his Literature Review. He collected 1000s of papers and is STUCK. Avoid this problem with this Literature Review strategy: (I use it daily) 👇

Wish you knew more about Statistics and Data Science? Here are my TEN best book recommendations for learners at every level.

I've edited hundreds of essays/dissertations. There's one feedback that I consistently give, that most students lack. 'Your essay doesn't flow, you need better transitions'. Here are 4 types of transitions for first-class writing:

This is a 363-page academic writing guide book for writing at the highest level. The author is a Harvard University teacher-scholar. This book will perfect your writing and help you graduate🎓 Access it here: wilson.fas.harvard.edu/files/jeffreyw…

🚨 BREAKING: Code Interpreter is FINALLY rolling out to all ChatGPT Plus users. It's the most powerful feature OpenAI has released since GPT-4. It makes everyone a data analyst. Here are 15 mind-blowing use cases of Code Interpreter:

Sounding repetitive when writing a thesis can reduce the clarity, precision and professionalism of your work. Here are 40 unique sentence starters to introduce an ongoing debate in a thesis:

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I wish folks would use the phrase 'policy-induced inequities' to describe the consequences of bad policy choices. From buses that never show up to homes we can't afford, let's be clear about how these decisions impact our lives.

A sequential framework for teaching how to write good research questions buff.ly/2J06BaO You want to teach your students how to develop good research questions? Perhaps this blog post will be useful to you.

Developing the core elements of a research proposal: Finding a gap in the literature, mapping contributions to scholarship buff.ly/2IABEHt Two of my PhD students are about to defend their dissertation proposals, so I revisited this blog post to help them as they prepare.

Writing synthetic notes of journal articles and book chapters buff.ly/2uoQRcK I teach my students how to write synthetic notes of everything they read. This is a description of my own process.

I once believed crafting a PhD Literature Review was just about showcasing a sea of existing knowledge. I couldn't have been more wrong. A PhD Literature Review is:

Successor to Rstudio, Positron just dropped - big #rstats day!

One billionaire couple owns almost all the water in California. In 1994, the Resnicks secretly seized control of California’s public water supply. Now their companies use 150 billion gallons every year while working class people suffer under drought conditions.