Support mechanisms for students and early career researchers have become ever so important during the pandemic, yet more difficult to provide.

🖼️Another beautiful and on-point creation by @allison_horst Four people supporting a trampolin to catch two baloons & co
@allison_horst As a consequence, the power and potential of the support they receive from online communities like this one have been strengthened by the circumstances. I have personally valued them more than ever.
@allison_horst When I registered to curate this account earlier in the year I didn’t know there was going to be either a pandemic or elections. I just thought it would be a nice way to return to work after extended maternal leave, and a great way to get my confidence & stats interests back.
@allison_horst Little did I know! It’s meant that and much more and I can’t stress enough how absolutely lovely it is to talk to people far afield about issues that are very similar regardless of the location, even if as individuals we are exposed to very different circumstances and cultures.
@allison_horst On top of that I’m lucky enough to have a lovely bunch of supportive colleagues and collaborators at my organisation that have made it very easy to start working again and adapt to this very different situation.
@allison_horst Most importantly, I also have my four go-to pillars of support and inspiration. They have been there before and during the pandemic, and will continue being there long after I'm sure 💖
I met them in profesional circumstances and a similar sense of research integrity and ethics joined us closer. I’ve cried and laughed in equal parts with all of them and that has made our link even stronger. For that I’ll be forever grateful.
Their main character traits that have helped me calm down or make the right decisions are kindness, respect & loyalty. On top of that, they’re 4 hard working, devoted scientists bringing great contributions to the world of Statistics and I’m extremely proud to be their friend 💪
Dr @pilarcacheiro is a Postdoctoral Research Fellow in Computational Biology @QMUL_C4TB in London with a great transdisciplinary background & R expertise. Check our her impressive articles on human genetics! She's also an animal lover and a proud Galician 🐙 Computational Biology, All things R, principled, loyal and f
@pilarcacheiro @QMUL_C4TB Prof Carmen Armero is a professor in Statistics @UV_EG with expertise in Bayesian inference,longitudinal data & joint models.Check out her latest paper "Two-Stage Bayesian Approach for GWAS With Known Genealogy" tandfonline.com/doi/abs/10.108…
She's also a ⚽ lover & a keen traveller
@pilarcacheiro @QMUL_C4TB @UV_EG Dr @claudia_esf is a marine biologist working at AIMM-Marine Environment Research Association with a PhD from @UnivAveiro & @CREEM_cake on African vulture GPS data. She's a passionate science communicator and she loves music 🥁
@pilarcacheiro @QMUL_C4TB @UV_EG @claudia_esf @UnivAveiro @CREEM_cake Dr @mxcote1 is a Research Fellow
in Applied Statistics @BCAMBilbao with great expertise in flexible regression models, spatial/spatio-temporal modelling & clinical biomarkers evaluation, and an impressive publication record. She's also a proud Galician and a keen reader 📚 Applied stats, all things modelling, Commited, Humble and fu
In these hard times, don’t struggle alone, find your support network online or near you 🤗#WSDS

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More from @WomenInStat

7 Nov
During my leave I’ve really enjoyed reading about the inspiring women trailblazers in statistics who paved the way for us. Here are some of my favourite quotes in chronological order. Please share yours! #WSDS
Florence Nightingale states in her essay Cassandra 👇
🖼 source: Wikimedia commons Quote by Nightingale on wom...
Clara E. Collet writes in her chapter on women's work in Life and Labour of the People of London👇 (freely available to read: public-library.uk/dailyebook/Lif… )
🖼 source: facebook.com/SenateHouseLib… Clara Collet: life to large...
Read 11 tweets
6 Nov
I’m really looking forward to attending this 👇 #Nightingale2020 has been one of the few things worth celebrating this year! Her lessons on sanitation couldn’t be more relevant.
Image #WSDS
As part of the bicentennary celebrations of the birth of the first @RoyalStatSoc woman elected fellow, at the society we’ve also organised several events throughout the year rss.org.uk/news-publicati… Florence Nightingale, Lady ...
@RoyalStatSoc At @statsyss we were particularly proud to organise #FloViz,a #dataviz competition to reinterpret her famous polar diagram. The winning entries by @gunning_edward @sianbladon & Roddy Jaques 👇were announced on her birthday, you can see them: statsyss.wordpress.com/2020/05/13/flo… 3 reinterpretations of the ...
Read 11 tweets
5 Nov
Throughout my career, I’ve become a bit wary of institutions that claim to be the best and specify exceptional candidates in job offers and PhD studentships…

(Shout-out to the great @Letxuga007 for the mean gif 😉)
I’d like to take this opportunity to demand the right for the less excellent or “tending towards average” to be given opportunities and have their well deserved place in Academia!

🖼️DIY creation using @allison_horst's fab artwork Distribution & average
This hyperbolic language is exclusionary and will not only deter the “average” student from applying but also very smart yet humble candidates who are perhaps more realistic and indeed honest in their self assessments 🤔
Read 7 tweets
28 Oct
Tweetorial on going from regression to estimating causal effects with machine learning.

I get a lot of questions from students regarding how to think about this *conceptually*, so this is a beginner-friendly #causaltwitter high-level overview with additional references. Hand-drawn graphic of a regression formula E(Y|T,X)=\beta_0+
One thing to keep in mind is that a traditional parametric regression is estimating a conditional mean E(Y|T,X).

The bias—variance tradeoff is for that conditional mean, not the coefficients in front of T and X. Hand-drawn graphic of a regression formula E(Y|T,X)=\beta_0+
The next step to think about conceptually is that this conditional mean E(Y|T,X) can be estimated with other tools. Yes, standard parametric regression, but also machine learning tools like random forests.

It’s OK if this is big conceptual leap for you! It is for many people! Hand-drawn graphic of the conditional mean E(Y|T,X) with red
Read 13 tweets
26 Oct
What do professors do day-to-day (in a pandemic)?

This varies *a lot* by type of role, seniority, and institution.

I’m tenured at a research-intensive institution and I am not teaching this term.
I spend a fair amount of time meeting with students and collaborators. Today, Monday, I have 5 such meetings.

There are also lots of emails and administrative tasks all the time.
Each day this week I’ll drop a tweet in this thread to add in unique things I haven’t mentioned yet to demystify the life of this particular professor.
Read 6 tweets
8 Oct
🧵 time! I’d love to talk about the responsibilities we have as data practitioners. In this ~~information age~~ I think it’s critical we use data, ML, stats, and algorithms fairly, and with an eye toward making the world better for people.
I found this piece on data visualization very striking: medium.com/nightingale/it…
“Knowledge is never subjective.” As the creator of a graph, you hold the narrative power.
Read 11 tweets

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