Gender ratio of speakers at today's Festival of Genomics California conference

The Festival of Genomics Conference California conference starts today. From the speaker lineup I count 132 speakers with a gender ratio of 72.7% men and 27.3% women. This is a good ratio compared to many (most?) genomics conferences — see Jonathan Eisen's many excellent posts on this subject — and it exceeds the background level of women in senior roles in genome institutes around the world (a figure I previously calculated as 23.6%).

However, it was because the ratio of women speakers was below my self-imposed target of 33.3% that I withdrew Front Line Genomic's kind offer of a speaking position and requested that they instead offer my slot to a woman.

I think Front Line Genomics are ahead of many conference organizers in addressing gender bias, and I look forward to seeing the final lineup at their upcoming Festival of Genomics London conference.

This post is to serve as a reminder that we, as a community, still need to do much better at addressing gender bias in our field, and that men can actively help this process by refusing to speak or present at conferences which show extreme bias. Preferably, I would like others to adopt my 33.3% target as a minimum ratio that we should be aiming for (this applies both ways, though there doesn't seem to be much likelihood of men feeling underepresented any time soon).

Concerning the gender ratio of speakers at the 2015 Genome Science Meeting

The Genome Science 2015 meeting has announced their speaker line-up. At the time of writing, not all of the speaker positions are finalized, but currently the published agenda reveals:

  • 13 men
  • 9 women

So currently 41% of the speakers are women which is excellent. Hoping that the remaining 15 slots keep this conference free from notable gender bias.

About my idea of a 33% target for women speakers at genomics conferences…

Last week I wrote a post on the subject of gender bias at genomics/bioinformatics conferences. I suggested a figure of 33% might make for a minimum target for the proportion of women (and men) who give talks at such conferences. I also went so far as to end that post by saying:

I don't attend many conferences, but from now on I won't be attending any if at least 33% of the talks are not by women.

At the time that I wrote this, I knew that I was going to be speaking at a genomics conference myself later this year. What I didn't know at the time, was the gender ratio of speakers at this conference. That information only came to light this week. So what is the proportion of talks by women at this conference?

28.2%

If you're quick on the uptake, you will notice that 28 < 33 So what did I do? Well, I wrote to the conference organizers and explained my position and told them that I would like to withdraw my speaking role. I also suggested that they find a woman to take my place (and offered a suggestion of a female co-worker who has worked on the very project that I was intending to talk about).

The conference in question is the new Festival of Genomics that will take place in California in November. This is the second Festival of Genomics conference organized by Front Line Genomics and you may have read about the first conference in this series that recently took place in Boston. This conference was very well received (e.g. see this, this, or this) and so I was very much looking forward to speaking in November (especially as this was the first time that I have been asked to speak at a conference).

The current list of speakers shows 66 men and 26 women. It's possible that these numbers might change slightly; adding just 7 more women speakers, or replacing only 5 male speakers with women would be enough to reach my suggested 33% target.

I have had several productive exchanges with Front Line Genomics about this issue. They acknowledge the problem and seem to genuinely want to do something about it to reduce gender bias in this field. I'm confident that subsequent conferences that they organize will do an even better job at representing women in speaking roles. It also must be said that they are doing much better than most genomics conferences and 28% is higher than the current proportion of women in senior roles at most genome institutes. Once again, I want to reiterate that I have found Front Line Genomics to be extremely open about this issue, and I genuinely believe that they are receptive to suggestions that might improve the situation in future.

What can be done?

If you are a male scientist who is concerned by the current level of gender bias at genomics conferences, and if you are ever invited to give a talk at such a conference, then you do have the power to help change the situation. If you learn that women speakers are going to be underrepresented, you can withdraw your speaking position and instead make some suggestions of female scientists to take your place. You can also raise this issue when first invited to speak. If conference organizers received responses from all potential speakers saying 'I will only talk if your conference has an unbiased gender ratio of speakers', then this could change the situation dramatically.

Time to conclude this post by saying (once again): I don't attend many conferences, but from now on I won't be attending any if at least 33% of the talks are not by women.

You wait ages to see a tweet about gender bias in science, and then three come along at once!

I uploaded my last post about gender bias in genomics/bioinformatics to my blog late on Sunday night. When I checked my twitter feed on Monday morning I was pleasantly surprised to see how much traffic the post had already generated. I was also amused by the serendipitous nature of seeing the following tweets appear closely together in my timeline:

 
 

So well done to the Crick Institute regarding the news that they will have a perfectly equal mix of male and female group leaders. This figure of 50% females would put them top of my list of research institutes in this field.

In contrast, finding out that the new Barcelona Institute of Science and Technology has an all male roster (11 Professors, 18 staff in total) is kind of depressing. This result would put them bottom of my list.

What would be a suitable value for the absolute minimum proportion of female speakers at genomics/bioinformatics conferences?

Photo by ViktorCap/iStock / Getty Images
Photo by ViktorCap/iStock / Getty Images

Background

Hopefully, many people reading this will be aware of Jonathan Eisen's valiant efforts to highlight the Yet Another Mostly Male Meeting (YAMMM) problem; these are conferences where the gender bias is disproportionately skewed towards male speakers. You can see all of Jonathan's YAMMM posts on his blog, and in his latest post he highlights a particularly egregious case: a CSHL meeting on the Evolution of Sequencing where only 7.8% of speakers are women.

In my last ACGT post I looked at how this figure (7.8%) compared to the male/female ratio of senior researchers at 10 different genomics/bioinformatics institutes. Nine out of the ten places that I looked at had a much higher proportion of female scientists. I tried making the point that this suggests that conference organizers have no excuses for not doing a better job at recruiting more female speakers.

But it struck me that my analysis was a bit too shallow, especially as the numbers of researchers in each place differed quite a bit (from 10 to almost 60). So I went back and looked at many more academic institutions and kept track of the absolute numbers of men and women in senior research roles.

Dataset

In total, my updated dataset comprises details from 40 different academic institutes (or centers/departments) that specialize in genomics and/or bioinformatics. The vast majority (33/40) mention 'genome', 'genomics', or 'bioinformatics' in their title (the exceptions to this include the Broad Institute, Cold Spring Harbor Laboratory, and the Wellcome Trust Sanger Institute).

The 40 different institutes represent locations in North America, Europe, Asia, and Australia. In some cases, the named institute represents an umbrella organization connecting researchers in different locations across that country (e.g. the Swiss Institute of Bioinformatics). There is probably an element of selection bias towards research institutes that provided an English-language version of their staff/personnel page (not all non-English websites have translations of every page available).

I think that this dataset contains most of the widely known research institutes that have a dedicated focus on genomics and bioinformatics. The list could probably be further expanded if I targeted more University departments that have a specialization in these fields.

In total I logged the gender of 1,039 people in various 'senior' research roles (e.g. Faculty, 'Group leaders', 'Project leaders', etc.). In many cases I deduced gender from first names, but looked for images of researchers where this was not easy to do so.

I've uploaded the main table of data to Figshare so that others can look at all of the detailed numbers if they so desire.

Results

  1. The most equitable result for any one academic institute with at least 15 senior research scientists was the Duke Department of Biostatistics and Bioinformatics (40.4% female, N=52)
  2. Only two other institutes had figures of 40% or higher: the National Human Genome Research Institute (40% female, N=40) and the Functional Genomics group at the Russian Academy of Medical Sciences (50% female, N=6).
  3. Only 3 out of 40 institutes had a lower proportion of female scientists than at the aforementioned CSHL meeting with 7.8% female speakers.
  4. Discounting the bottom placed institute due to small sample size (0% female, N=4), the next worse place was NBIC, the Netherlands Bioinformatics Center with only one female Faculty member (4.8% female, N=21).
  5. The overall ratio of female scientists in senior research roles is 23.6% (N=1,039).

Conclusions

It is somewhat depressing to see such a systematic gender bias in my field, where female scientists only account for approximately a quarter of senior research positions. This figure is in line with UK data for the proportion of female professors all biological sciences (25.1%). The lack of equal gender representation is presumably due to bias and discrimination (conscious or otherwise). In 2014 I conducted a survey to look at gender bias in bioinformaticians across different career stages. This survey had 370 responses — from undergraduate level right through to Deans of academic schools — and showed that there is essentially no gender bias at all stages prior to the level of Faculty (or equivalent). This suggests that there is no shortage of talented women coming through the system, they just are hitting a barrier when it comes to attaining senior research positions…a situation clearly not helped by further discrimination at conferences.

Based on the figures that I show here, one might argue that the figure of approximately 25% could be seen as a minimum target for female participation at conferences. However, such a target would only be encouraging the current levels of discrimination. Far better would be a target that not only attempts to reduce discrimination, but which also better reflects the equal representation of female scientists in post-doc and graduate student positions.

For these reasons I feel that conference organizers — in the fields of genomics and bioinformatics — should be aiming for at least a third of all speakers to be female. Ideally, we want to be doing better than this which is why I suggest this as an absolute minimum target. Depressingly, even this low target is something which most (all?) of the YAMMM meetings described by Jonathan Eisen fail to meet. Of course, such a target should apply for male speakers too, though I'm doubtful that there has ever been a conference in this field where men accounted for less than a third of all speakers.

I don't attend many conferences, but from now on I won't be attending any if at least 33% of the talks are not by women.


Update 2015-06-30: Added link to data for percentage of female professors in UK biological sciences, and clarified that my suggested target figure should also apply to male speakers. I also added a caveat that my methods of choosing institutes is biased towards websites written in English (or with English translations available).

How does gender diversity of speakers at CSHL Evolution of Sequencing meeting compare to research institute gender diversity?

Following Jonathan Eisen's recent blog post about the tremendously poor representation of female speakers at the upcoming CSHL Evolution of Sequencing meeting, I was curious about something. Namely, how representative are female scientists in senior roles at prominent genome centers/institutes?

So I found 10 places which all have at least 10 people listed in senior roles (e.g. Faculty or Project leaders), including our own Genome Center. In all but one case, the gender ratio exceeds the pitiful 8.5% of female speakers at the Evolution of Sequencing meeting.

click to enlarge

While it is still depressing that not a single institute has more than 40% of senior roles filled by women, it is a clear sign that there is a great pool of talented female genome scientists out there. Conferences should therefore have no excuses for single-digit percentages for female speakers.

Still collecting results for my survey about gender bias in bioinformatics

A quick post just to say that although I published some preliminary results from my survey about gender bias in bioinformatics, I left the survey live so that others could still add their responses. So far, I've had 28 more responses on top of the original 370. 

I also tweaked the survey form to allow ex-bioinformaticians to respond (and I asked whether they left bioinformatics as a career because of gender bias). If you haven't done so, please complete the form (embedded below) or available here. I'll try to update the main results on Figshare in a few weeks. Hopefully, with some more results it will be possible to see if there are other notable patterns in the results.

Survey results: The extent of gender bias in bioinformatics

I have completed an analysis of my survey that attempted to see whether there is notable gender bias among bioinformaticians. Thank you to the 370 people that completed the survey! A few things to note:

  1. All survey responses are available on Figshare (in tab-separated value format). Anyone else can come along and play with this data, and maybe ask more intelligent questions about it than I did.
  2. My detailed analysis of these responses is also on Figshare as a separate document.
  3. The original Google survey form remains available (also see my blog post about it). If people continue to complete the survey, I will update the main data file on Figshare.

I encourage people to read the full document on Figshare. Because of the high response to this survey, I had enough data to compare gender bias at different career stages, and also between different countries (for a small number of countries).

I'll leave you with just one result from my analysis. I had asked people to identify their current career position, and  I offered 10 possible career stages as answers:

  1. Currently pursuing undergraduate degree (with focus on bioinformatics/genomics
  2. Undergraduate level position in academia or industry  (e.g. Research officer / Junior specialist)
  3. Currently pursuing postgraduate qualification (with focus on bioinformatics/genomics)
  4. Postgraduate level position (e.g. Research assistant). MSc or PhD required for role.
  5. Postdoctoral scholar / Fellow / Research Associate
  6. Lecturer / Instructor/ Senior Fellow / Project Scientist (3+ years post-PhD research experience)
  7. Assistant Professor / Reader / Senior Lecturer (5+ years post-PhD research experience)
  8. Associate or Full Professor / Team Leader (7+ years post-PhD research experience)
  9. Senior Professorial role (e.g. head of a department, 10+ years post-PhD research experience)
  10. Super Senior role (e.g. Dean of a school or CEO, 15+ years post-PhD research experience)

Because these categories are a little bit subjective, and because some of the categories (levels 1, 9, and 10) had the least number of responses, I decided to smooth the data by combining adjacent categories. I.e. 1&2, 2&3, etc.

So this is what the percentage of male and female bioinformaticians looks like with respect to progress through their scientific career:

Things start off looking quite equitable but proceed to diverge around the time that people are becoming Associate Professors. However, the situation is more complex than this (see Figure 3 in my full analysis).

Can Twitter help us find out the gender ratio of bioinformaticians?

I'm still collecting survey results to try to understand the extent of gender bias in bioinformatics. I plan to publish an analysis of these results next week and I'll also share all of the the raw survey results via Figshare (in case anyone else wants to dive deeper).

One thing that is hard to accurately know is just what the gender ratio is across everyone who identifies themselves as a bioinformatician. A survey that is trying to ask something about gender bias no doubt introduces its own bias in the types of people who would be interested in completing such a survey.

But maybe Twitter can be of use in trying to determine a 'background' gender ratio among bioinformaticians. The evidence is hardly conclusive, but there are some data that suggests that more women use twitter than men. There's also data that there are comparable numbers of male/female users. In any case, numbers of users doesn't tell the whole story. Other research shows that, on average, men have  15% more followers than women, and a tool called Twee-Q that tries to identify the likely gender of twitter users, finds that men tend to be retweeted almost twice as often as women.

Despite gender biases in how people use twitter, it might still be useful to see what the gender ratio is of people who follow bioinformatics-type accounts. This is something that twitter can show you at analytics.twitter.com. However, this only seems to be enabled on accounts that have a certain number of followers. Here is what the results looks like for the @assemblathon twitter account (click to enlarge):

So twitter identifies — presumably using some sort of gender-guessing-algorithm — that 82% of  the followers are male. I'd love to see what other results look like for other bioinformatics twitter accounts. However, I think it is a better test if the accounts in question are themselves gender-neutral. I.e. affiliated to a resource or institution. If you run a bioinformatics-related twitter account that is gender-neutral, and if you can access analytics.twitter.com, I'd love it you could share your results with me (via comments below or on twitter @kbradnam).

What is the extent of gender bias in bioinformatics? Please help me find out.

I've been drawing up a short-list of people to interview for my 101 questions with a bioinformatician series, and I've realized that this list is skewed towards males (maybe 2:1). This partly reflects my own biases in choosing people that I know through work and from people that I follow on twitter. 

However, it probably also reflect underlying biases in the bioinformatics field as a whole. The existence of gender biases is STEM subjects is hardly a new concept (see here or here for some recent studies into this area) and anyone who follows Jonathan Eisen's blog will know that there is an all-too-common bias towards male speakers at scientific meetings. In a great blog post from last year (The Magnifying Glass Ceiling: The Plight of Women in Science), Jane Hu discusses the topic of gender bias in science. I encourage everyone to read this post, but I'll highlight one sentence here (emphasis mine):

It is true that women are underrepresented…but not because women aren’t interested in it or can’t handle the work.

Although projects like Girls Who Code and App Camp for Girls are doing a great job at increasing female participation in some STEM subjects, these projects will not help remove the discrimination against women that occurs later in their careers. Fortunately, other fantastic projects like Tools for Change: Boosting the retention of women in the STEM pipeline are helping raise awareness about these problems, and are offering solutions (e.g. encouraging more family friendly policies).

So I'm curious as to the extent of gender bias in bioinformatics. Please help me find out more by completing the really short form (below) and feel free to share this form with others (the Google form can be accessed separately via this link). I will report on the results in a future blog post. Also, I will make more effort to address any gender biases in my 101 questions with a bioinformatician series.