Dataclysm: Who We Are* *When We Think No One’s Looking By Christian Rudder, 2014
By analyzing OKCupid (the dating site) data and publicly available data, this book looks for interesting trends in user data. While there are certainly some interesting tidbits, I found the book to be annoyingly informal. There were lots of vague “current” references that were quickly outdated as soon as the book was published. It felt more like a series of blog posts than a book.
Big Business: A Love Letter to an American Anti-Hero by Tyler Cowen, 2019
Argues against many of the popular critiques of big business (e.g., crony capitalism, CEO pay, monopolistic behavior). Persuasive, though perhaps non-comprehensive in its research or expositions. However, I appreciate that it was kept short and did not read like an academic journal.
The Black Swan: The Impact of the Highly Improbable by Nassim Taleb, 2007
Meandering discussion around this central premise: Many things in life follow power-laws, not normal distributions. Wealth, deaths in war, sales of a book, etc. To act as if everything has a standard deviation from an obvious mean is setting yourself up for failure, but that is what most of modern statistics is built upon. “Black swans” (unknown unknowns that could not be predicted via bell curve assumptions) will occasionally come by that disrupt everything.
Abrasive, aggressive writing. We listened to the book on tape while traveling.
Scaling Up Excellence: Getting to More Without Settling for Less by Robert I. Sutton and Huggy Rao, 2014
The gist of the book is how to scale an organization from one location to many while maintaining the success found at the first location. Portions of this book could work for my Operations Strategy class’s lecture on scalability. I already cover a lot of information in that class on internet platforms and digital economics, but this book complements that material by focusing on scaling a real-world service organization. Chapter 2, about how much customization to allow from one location to the next, seems particularly relevant.
While the book has some really good information, it is roughly 2x too long. Many chapters are so packed with examples that it is hard to remember the message at hand. I would have edited out about half the examples, especially since many were repetitive and many were mediocre/confusing examples of the phenomena at hand.
Hit Refresh: The Quest to Rediscover Microsoft’s Soul and Imagine a Better Future for Everyone by Satya Nadella, with Greg Shaw and Jill Tracie Nichols, 2017
High-level think-piece by Microsoft’s CEO. Some portions were interesting for me as a tech-enthusiast and shareholder, but honestly, you can probably skip this one. I listened to the book on tape while running.
The Unwinding: An Inner History of the New America by George Packer, 2013
I don’t know what to think about this book. It follows a series of actual people (a factory worker in Youngstown, a journalist in Tampa, a politician/lawyer in Washington, an alternative energy entrepreneur in North Carolina, etc.) through mostly the 1990’s to 2012, a few years after the Great Recession and bank bailouts. The stories are heartbreaking in places, though much of that is due to the perceived/actual helplessness of some of the lower class people profiled (I worked hard all my life; why can’t I get ahead?). The author seems to mostly be against the greed and indemnity of Wall Street, though he rarely explicitly states his opinions. I largely agree with this review from NYT when the book came out. An excerpt:
By “the unwinding,” Packer is really referring to three large transformations, which have each been the subject of an enormous amount of research and analysis. The first is the stagnation of middle-class wages and widening inequality. Depending on which analyst you read, this has to do with the changing nature of the information-age labor market, changing family structures, rising health care costs, the decline of unions or the failure of education levels to keep up with technology.
The second is the crushing recession that began in 2008. Depending on which analyst you read, this was caused by global capital imbalances, bad Federal Reserve policy, greed on Wall Street, faulty risk-assessment models or the insane belief that housing prices would go on rising forever.
The third transformation is the unraveling of the national fabric. Depending on which analyst you read, this is either a gigantic problem (marriage rates are collapsing; some measures of social connection are on the decline) or not a gigantic problem (crime rates are plummeting, some measures of social connection are improving).
Packer wants us to understand these transformations, but ultimately, narrative and anecdotes are not enough. They need to be complemented with evidence from these long-running debates and embedded in a theoretical framework and worldview.
Whatever message you take from it, you can probably agree that the narratives within are well-written.
While we are 7 years out from publication now, some interest in 2020 can come from the fact that still-relevant some political characters are painted in either a negative (Joe Biden) or positive (Elizabeth Warren) light. Peter Thiel also gets relatively positive coverage.
The Unthinkable: Who Survives when Disaster Strikes – and why by Amanda Ripley, 2008
The more prepared individuals are, the more likely they are to survive. Relying on external sources of aid/support/technology is much less reliable. You should know that you have the power to control your situation in a disaster (man-made or natural).
Well-written, and the audiobook version is well-read.
Fast, gripping climbing novel. Marketed for young adults, but I was still entertained. Will pass it on to Maria and then my young cousins.
I keep a list of books to read as I come across interesting options. This has been on my list for a few years, but unfortunately I don’t remember the source of the recommendation.
Once we switched to remote learning in the spring, I had issues with cheating on the first online exam through Canvas. My exam was multiple choice, with students allowed to log in and take it over a defined time range. I write all my own questions, so students couldn’t just look them up online, and students sign an honor statement before seeing the first question. However, in the end, 17 of 68 students admitted to cheating. The main 2 ways I saw cheating were (1) a bunch of answers added as soon as the exam started (unreasonably quickly) and (2) members of the same group taking the exam at the same time and submitting answers nearly simultaneously. The first way was a clear indicator that students were sent some/all of the answers by other students in the class. The second way was harder to find and required putting multiple quiz logs up next to each other.
The only (major) mistake I made was misinterpreting Canvas’ settings for when students can see the questions they missed. The quiz setting says “Let Students See Their Quiz Responses (Incorrect Questions Will Be Marked in Student Feedback).” If you check this, then you can specify when students can see the correct answers. I checked it and specified a future date for when they could see correct answers, thinking that this would not give them ANY feedback until that date. However, they are immediately told what they got right and wrong upon submission (without being explicitly given the right answers). As such, they could easily share correct answers (and infer what should have been answered for the incorrect multiple choice questions). I would suggest not checking this box while giving the exam. You can always go back later and check it in order to let them see the correct answers after everyone has submitted.
An OM teaching blog that I follow has good suggestions for preventing cheating on online exams:
Use varied question types. Refrain from having an exam with all multiple choice or true and false questions. Our MyOMLab’s algorithmic problems are a perfect complement to these questions.
Creatively remind students of academic integrity policies. Create and post a video explaining the guidelines for the online exam and review the institution’s academic integrity policy and consequences that are listed in the course syllabus.
Require students to sign an academic integrity contract. After reviewing the academic integrity reminder video, have students electronically sign a contract that lists what the university considers cheating.
Restrict testing window. Similar to how on-campus final exams have a designated testing slot for each course, create the same online. Have every student start the exam around the same time and limit how long each student will have to take the exam. If you have students in different time zones, consider offering three sets of tests, at 3 different start times.
Change test question sequence. In the test settings, have the order of test questions be different for each exam along with the order of answer choices for each test question.
Delay score availability. Set a later date after the testing window ends for students to see their score and feedback and do not make the score available for immediate view after test completion. This way, one student who finishes early cannot see their score and then advise students who have not completed the test yet.