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During this month, the Strategic Management Division is promoting the Meet the Scholar series in which the well-known scholars talk about their trajectory, research, and the future of strategic management research. I strongly recommend it. You can check the playlist below or access specific talks.
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Machine Learning Tokyo, a nonprofit organization dedicated to democratizing Machine Learning, compiled several lectures about deep learning in this github repository. I highly recommend the Introduction to Deep Learning and NLP with Deep Learning courses.
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The American Economic Association has an excellent webcast about the complementarities and differences between machine learning and econometrics. Susan Athey and Guido Imbens did an amazing job making the materials accessible to everyone. You can access the webcast at the link Machine Learning and Econometrics. Materials are available at Google Drive ML folder.
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The Strategic Organization made available a virtual special issue compiling the research method articles published in the journal. Bascle (2008) and Hamilton and Nickerson (2003), for instance, are must-read papers about endogeneity for Ph.D. students. The Credibility crisis in strategic management research paper, from Bergh and colleagues (2017), is also a must-read for anyone who does research in strategy.
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In this talk, prof. Blei offers a clear introduction about probabilist topic models and some of its applications.
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Recently, Vuorre and Curley (in press) published a paper/tutorial, [Curating Research Assets: A Tutorial on the Git Version Control System link] (http://journals.sagepub.com/doi/full/10.1177/2515245918754826), explaining how to use Git, a version control system, to manage and control research assets. I applied it to manage one of my final projects, and I like it so much that I am using git to manage all projects. However, rather than R studio as suggested by authors, I have been using git in the command line. Also, I have used the Dropbox as a remote repository so I can work on multiple computers, using only half of Dropbox storage space. To set up the Dropbox as a remote repository, I followed the tutorial available on [Random Stuff link] (https://blog.shvetsov.com/2013/04/using-git-with-dropbox.html). Below, I show the steps described on the blog. First, open the command line and move to the folder that you want to track and control the changes. Then, type: