Prioritising your academic tasks

18 04 2018

The following is an abridged version of one of the chapters in my recent book, The Effective Scientist, regarding how to prioritise your tasks in academia. For a more complete treatise of the issue, access the full book here.

splitting tasks

Splitting tasks. © René Campbell

How the hell do you balance all the requirements of an academic life in science? From actually doing the science, analysing the data, writing papers, reviewing, writing grants, to mentoring students — not to mention trying to have a modicum of a life outside of the lab — you can quickly end up feeling a little daunted. While there is no empirical formula that make you run your academic life efficiently all the time, I can offer a few suggestions that might make your life just a little less chaotic.

Priority 1: Revise articles submitted to high-ranked journals

Barring a family emergency, my top priority is always revising an article that has been sent back to me from a high-ranking journal for revisions. Spend the necessary time to complete the necessary revisions.

Priority 2: Revise articles submitted to lower-ranked journals

I could have lumped this priority with the previous, but I think it is necessary to distinguish the two should you find yourself in the fortunate position of having to do more than one revision at a time.

Priority 3: Experimentation and field work

Most of us need data before we can write papers, so this is high on my personal priority list. If field work is required, then obviously this will be your dominant preoccupation for sometimes extended periods. Many experiments can also be highly time-consuming, while others can be done in stages or run in the background while you complete other tasks.

Priority 4: Databasing

This one could be easily forgotten, but it is a task that can take up a disproportionate amount of your time if do not deliberately fit it into your schedule. Well-organised, abundantly meta-tagged, intuitive, and backed-up databases are essential for effective scientific analysis; good data are useless if you cannot find them or understand to what they refer. Read the rest of this entry »

Where in the world to invest in plant conservation

31 05 2010


It’s been a good few weeks with many of our papers coming out online early – for example, I highlighted one last week on ecosystem function breakdown from global warming.

Although this has been out for a few weeks, our new paper lead by PhD candidate Xingli Giam (formerly of National University of Singapore, recently completed Australian Endeavour Scholar, now at Princeton University and all-round up-and-coming research star), and with contributions from Hugh “Vascular” Tan and Navjot Sodhi of National University of Singapore and me, is entitled Future habitat loss and the conservation of plant biodiversity (just published online in Biological Conservation).

This one is a bit of a complicated one, so let me walk you through it.

Plants not only represent a huge component of global biodiversity (~320 000 species), they represent the ‘habitats’ in which animals live and provide the major source of nutrients to food webs. They also provide most of our food and other materials essential for human existence. Basically we’d be screwed without them.

Because so many of the world’s biomes are severely threatened now because of massive habitat loss, degradation, over-exploitation, invasive species, extinction synergies and climate change, we need to maximise our efficiency in protecting what’s left. While global prioritisation schemes have a fruitful scientific history since Myers & colleagues’ classic paper (see Biodiversity Hotspots), there are a number of problems that plague the concept and its implementation. Read the rest of this entry »