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What is this? This is the fourth edition of my time tracking analysis, adding in the 2023 calendar year. Past versions include: 2019-2020 initial analysis 2019-2021 follow-up 2019-2022 follow-up Targets for 2023 included: Disconnecting: Minimum of 1/day week with no work Maximum of 1 day/week with evening work Time allocation: Average 20% time research <= 1 day/month field work. I track the hours in a simple google sheet at 30 min resolution and divided into a few simple categories:

What is this? This is the third installment of analyzing how much time I spend working and what I do when I’m on the clock, following up on my initial 2019-2020 analysis and a follow-up including 2021. The underlying data is a simple spreadsheet where I log what I’m doing every 30 minutes in a handful of pretty broad categories. This year, I’ll just check in on some base statistics and then assess performance relative to some previous goals.

What is this? I started tracking my work activities in 2019 to make sure I wasn’t overworking myself and to better understand how I spent my time. A year ago, I analyzed my work activities for 2019 and 2020 and found that I tended to work ~40-45 hrs in an average week, which seems reasonable, but I would often spend an hour or two working over the weekend, which I didn’t like.

Date: Published February 27, 2019; updated July 26, 2019 and February 4, 2020 (If you just want the code, go here.) Maybe you’re applying for a job or going up for tenure, and are trying to demonstrate your research output in a unique way. In academia, the number of publications and citations are commonly used as indicators of productivity and influence - the hypothesis being that productive people are writing more papers and influential people are being cited more.