Promoting diversity in the lab

15 09 2022

My definition of a ‘lab’ is simply a group of people who do the science in question — and people are a varied bunch, indeed. But I wager that most scientists would not necessarily give much dedicated thought to the diversity of the people in their lab, and instead probably focus more on obtaining the most qualified and cleverest people for the jobs that need doing.

For example, I have yet to meet an overtly racist, sexist, or homophobic scientist involved actively in research today (although unfortunately, I am sure some do still exist), so I doubt that lab heads consciously avoid certain types of people when hiring or taking on new students as they once did. The problem here is not that scientists tend to exclude certain types of people deliberately based on negative stereotypes; rather, it concerns more the subconscious biases that might lurk within, and about which unfortunately most of us are blissfully unaware. But all scientists must be aware of, and seek to address, their hidden biases.

It is time to place my cards on the table: I am a middle-aged, Caucasian, male scientist who has lived in socially inclusive and economically fortunate countries his entire life. As such, I am the quintessential golden child of scientific opportunity, and I am therefore also one of the biggest impediments to human diversity in science. I am not able to change my status per se; however, I can change how I perceive, acknowledge, and act to address my biases.

The earlier scientists recognise these challenges in their career, the more effective they will be.

Gender balance

I acknowledge that as a man, I am already on thin ice discussing gender inequality in science today, for it is a massive topic that many, far more qualified people are tackling. But being of the male flavour means that I have to, like an alcoholic, admit that I have a problem, and then take steps to resolve that problem. After all, privilege is generally invisible to those who have it. If you are a male scientist reading this now, then my discussion is most pertinent to you. If you are female, then perhaps you can use some of these pointers to educate your male colleagues and students.

There is now ample evidence that science as a discipline is just as biased against women as most other sectors of professional employment, even though things have improved since the bad old days of scientific old-boys’ clubs. Journals tend to appoint more men than women on their editorial boards, and that editors display what is known as homophily when selecting reviewers for manuscripts: the tendency to select reviewers of the same gender as themselves.

Likewise, experimental evidence demonstrates that scientists in general rate male-authored science writing higher than female-authored works, and that academic scientists tend to favour male applicants over females for student positions. In the United Kingdom, as I suspect is more or less the case almost everywhere else, female academics in science, engineering, and mathematics also tend to have more administrative duties, and hence, less time to do research; they also have fewer opportunities for career development and training, as well as earning a lower salary, holding fewer senior roles, and being less likely to be granted permanent positions.

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Smoothing over content issues with co-author agreements

7 10 2021

I’ve written before about guidelines for co-authorship that I’ve formulated after years of accrued hit-and-miss experiences. Here, ‘hits’ refer to positive experiences (thankfully, the majority), and the ‘misses’ obviously refer to those times where co-authorship had become a contentious issue. While guidelines can go a long way to reducing the probability of nasty in-fighting occurring, there is never a water-tight approach that can avoid all problems.

However, the more I delve into multidisciplinary research that covers potentially controversial subjects, the more preparation for combatting future points of contention becomes necessary. What do you do when different specialists contribute material to a paper with which some other co-authors don’t necessarily agree?

Yes, this conundrum is real, and potentially flies in the face of the standard statement (and their variants) needed for most journal submissions these days:

All authors contributed to the article and approved the submitted version

Note, however, that the statement almost always includes the word ‘approved’ rather than ‘agreed with’. A subtle difference, I know, but it’s an important one.

This is where a pre-submission ‘Co-Author Agreement’ comes into play. Until quite recently, I have only ever prepared one such a document before, and that one was not terribly comprehensive.

But I’ve recently been working with a large, multidisciplinary group of specialists for which an official Co-Author Agreement made a lot of sense.

What is a Co-Author Agreement? It’s essentially a contract that prospective co-authors sign prior to submission of the manuscript to a journal so that potential disagreements can be dealt with more officiously down the track.

I looked for templates online and found a few that were suitable, and then modified it to our specific conditions.

I thought it might be a good idea to pass along a generalised template for a good Co-Author Agreement that you can modify according to your needs. I’ve broken down the content into sections:

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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 renecampbellart.com

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 »





The Effective Scientist

22 03 2018

final coverWhat is an effective scientist?

The more I have tried to answer this question, the more it has eluded me. Before I even venture an attempt, it is necessary to distinguish the more esoteric term ‘effective’ from the more pedestrian term ‘success’. Even ‘success’ can be defined and quantified in many different ways. Is the most successful scientist the one who publishes the most papers, gains the most citations, earns the most grant money, gives the most keynote addresses, lectures the most undergraduate students, supervises the most PhD students, appears on the most television shows, or the one whose results improves the most lives? The unfortunate and wholly unsatisfying answer to each of those components is ‘yes’, but neither is the answer restricted to the superlative of any one of those. What I mean here is that you need to do reasonably well (i.e., relative to your peers, at any rate) in most of these things if you want to be considered ‘successful’. The relative contribution of your performance in these components will vary from person to person, and from discipline to discipline, but most undeniably ‘successful’ scientists do well in many or most of these areas.

That’s the opening paragraph for my new book that has finally been release for sale today in the United Kingdom and Europe (the Australasian release is scheduled for 7 April, and 30 April for North America). Published by Cambridge University Press, The Effective ScientistA Handy Guide to a Successful Academic Career is the culmination of many years of work on all the things an academic scientist today needs to know, but was never taught formally.

Several people have asked me why I decided to write this book, so a little history of its genesis is in order. I suppose my over-arching drive was to create something that I sincerely wish had existed when I was a young scientist just starting out on the academic career path. I was focussed on learning my science, and didn’t necessarily have any formal instruction in all the other varied duties I’d eventually be expected to do well, from how to write papers efficiently, to how to review properly, how to manage my grant money, how to organise and store my data, how to run a lab smoothly, how to get the most out of a conference, how to deal with the media, to how to engage in social media effectively (even though the latter didn’t really exist yet at the time) — all of these so-called ‘extra-curricular’ activities associated with an academic career were things I would eventually just have to learn as I went along. I’m sure you’ll agree, there has to be a better way than just muddling through one’s career picking up haphazard experience. Read the rest of this entry »





A gender-diverse lab is a good lab

18 09 2017

sexism

Another little expurgated teaser from my upcoming book with Cambridge University Press.

My definition of a ‘lab’ is simply a group of people who do the science in question — and people are indeed a varied mob. I’d bet that most scientists do not necessarily give much thought to the diversity of the people in their lab, and instead probably focus more on obtaining the most qualified and cleverest people for the jobs that need doing. There are probably few of us who are overtly racist, sexist, or otherwise biased against or for certain types of people.

But the problem is not that scientists tend to exclude certain types of people deliberately based on negative stereotypes; rather, it concerns more the subconscious biases that might lurk within, and about which unfortunately most of us are blissfully unaware. But a scientist should be aware of, and seek to address, these hidden biases.

I acknowledge that as a man, I am stepping onto thin ice even to dare to discuss the thorny issue of gender inequality in science today, for it is a massive topic that many, far more qualified people are tackling. But being of the male flavour means that I have to, like an alcoholic, admit that I have a problem, and then take steps to resolve that problem.

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The sticky subject of article authorship

2 10 2015

CriticVs.Shakespeare-copyI have a few ‘rules’ (a.k.a. ‘guidelines’) in my lab about the authorship of articles, but I’ve come to realise that each article requires its own finessing each time authorship is in question. After a lengthy discussion yesterday with the members of Franck Courchamp‘s lab, I decided I should probably write down my thoughts on this, one of the stickiest of subjects in the business of science.

The following discussion can be divided into to two main categories: (1) who to include as a co-author, and once the list of co-authors has been determined, (2) in what order should they be listed?

Before launching into discussing the issues related to Category 1, it is prudent to declare that there are as probably as many conventions as there are publishing scientists, and each discipline’s most general conventions differ across the scientific spectrum. I’m sure if you asked 10 people about what they considered appropriate, you could conceivably receive 10 different answers.

That said, I do still think there are some good-behaviour guidelines on authorship that one should strive to follow, all of which are based on my own experiences (both good and awful).

So who to include? It seems like a simple question superficially because clearly if someone contributed to writing a peer-reviewed article, he/she should be listed as a co-author. The problem really doesn’t concern the main author (the person who did most of the actual composition) because it’s clear here who that will be in almost every case. In most circumstances, this also happens to be the lead author (but more on that below). The question should really apply then to those individuals whose effort was more modest in the production of the final paper.

Strictly speaking, an ‘author’ should write words; but how many words do they need to write before being included? Would 10 suffice, or at least 10%? You can see why this is in itself a sticky subject because there are no established or accepted thresholds. Of course, science generally requires much more than just writing words: there are for most papers experiments to design, grants to obtain to fund them, data to collect, analysis and modelling to be done, figures and tables to prepare and finally, words to write. I’ll admit that I’ve co-authored many papers where I’ve done mainly one of those things (analysis, data collection, etc.), but I can also hold my hand over my heart and state that I’ve contributed more than a good deal to the actual writing of the paper in all circumstances where I’ve been listed as a co-author (the amount of which depends entirely on the lead author’s writing capacity). Read the rest of this entry »








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