A reflection thread for junior scientists - but also myself.

It's worth thinking, "when other people talk about me, what do they say?"

Those conversations - which can be key to getting a grant, job, etc. - are less about how smart you are, more what it's like to work with you.
Six qualities you can foster to bolster your reputation, in rough order of importance:

- Conscientiousness
- Reliable communication
- Supportiveness (toward peers/teammates)
- Graciousness (especially w authorship)
- Intellectual engagement
- Work ethic

People notice these.
1. Conscientiousness

My dad's mantra: "If something is worth doing, it's worth doing well. If it's not worth doing well, it's not worth doing."

Some people approach their work as a job, others b/c they care about doing good work. The difference is critical - and easy to spot.
2. Reliable communication

Some of the hardest people to work with are those who "fall off the grid" without any explanation.

It's good to protect time for family, etc - but tell people when you're doing this. Otherwise people worry about you, and learn not to trust you.
3. Supportiveness

When I think about whether I want to work with someone, the first people I ask are their peers.

If you support your peers - by helping out when asked, contributing to the team (and without asking for anything in return) - it will be the first thing mentioned.
4. Graciousness

People who self-promote (esp. at the expense of others) are memorable - not in a good way.

Just as you should seek to work w people who will be gracious in offering you authorship, etc., without you having to ask them - you should also be such a person yourself.
5. Intellectual engagement

The people I love working with the most are those who will spend an hour discussing a scientific conundrum - just because it is interesting, not as a pathway to personal recognition.

Natural curiosity is the hallmark of a great scientist.
6. Work ethic

Another of my dad's mantras: "Do more than your share."

This is not about staying up until 2am every night, but rather about recognizing that everyone is working hard, making sure you do your part w/o cutting corners in a way that will leave extra work to others.
To summarize, good scientists want to work with good people. When people talk about you/us, this is the topic of conversation.

If you can demonstrate the 6 qualities above in your own work, people will go out of their way to work with you. And we all need each other to succeed.

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More from @davidwdowdy

13 Jun
COVID rates are:
- declining in India, US, most of Europe
- stable & high in Latin America
- rising in sub-Saharan Africa & UK

Why such "random" waves of disease?

It's easy to blame variants, but this doesn't explain variability.

Segregated networks can explain five phenomena.
First, an orientation to this figure.
- Dot: person
- Dark line: very close contact (e.g., household)
- Light line: occasional contact
- Dotted circle: mini-network (e.g., same employer/school)
- Blue = uninfected, red = infected, orange = secondary infection, green = immune.
1. Small epidemics can occur without triggering a nationwide epidemic.

Say the person in the red square gets infected (via the line to the left). This will cause a micro-epidemic among their 2 close contacts, but might not spread.
Read 8 tweets
26 May
Are you a prospective PhD/fellow/postdoc looking for the right mentor?

A thread on how to approach the process.

Long story short, two steps:
1) Define your "must-have" priorities.
2) Find evidence (reputation & track record) that a potential mentor will help you achieve those.
Step 1. Define your "must-have" priorities.

There are many things you can accomplish in a 2-4 year program. No mentor will be excellent in helping mentees achieve all of these. List out your "must-haves": things that you will be disappointed if you don't have/accomplish.
13 things a mentor can provide (non-exhaustive):
- Role model
- High-impact publications
- Work-life balance
- Technical skills
- Networking/introductions
- Support for future job
- Personality fit
- Freedom to choose projects
- Strong team
- Time
- Name recognition
- Funding
Read 14 tweets
5 May
One term I worry that we (as a public health community) have mis-messaged during the pandemic:

"herd immunity threshold"

A non-technical thread on why this is not "% of the population that needs to be vaccinated for us to return to life as normal while eradicating COVID-19"...
Disclaimer to the experts: This is for a non-expert audience.

Let's start with the virus that's currently circulating, and estimate roughly that - with no vaccine, no immunity, and "life as normal" - this person would infect ~5 other people before recovering (or dying).
Next, let's take a situation similar to the USA. Out of these 5 possible people infected, 2 might be vaccinated; 1 out of the remaining 3 might be someone who's already have had COVID; and 1 of the remaining 2 might be prevented by current behaviors (masks, distancing, etc).
Read 11 tweets
7 Mar
The B117 variant is now the dominant strain of SARS-CoV-2 in the UK, Ireland, Israel, Denmark. Likely also Portugal, Belgium, France, Italy, Norway.

Yet for the most part, these are not the countries where COVID-10 cases are rising (see below). What gives?
One explanation is that B117's transmission is being offset by restrictions, population immunity, etc. And that those countries w high B117 (UK, Ireland, Portugal) have locked down most. There is likely some truth to this - but not too much correlation w stringency index (below).
But it's also worth considering B117 and non-B117 COVID as separate epidemics. For example, look at Danish data below - it's tempting to think of B117 (red) as "replacing" non-B117 (grey). But that's not what's actually happening...
Read 8 tweets
9 Feb
In the past week, COVID cases have fallen in the majority of countries across the globe (see below for weekly change). But not all countries are locked down.

A thread on what might be - and what probably isn't - happening.
1. Lockdowns/restrictions have almost certainly had a major effect in countries that instituted them. Look at the peaked curves in the UK and South Africa - natural processes are generally smoother. But it's notable that current declines are even sharper than w the 1st lockdowns.
2. If this were just due to seasonality, one might expect similar behavior as with flu. But historically, flu rates in the US generally do not start to fall until March (see non-red lines below). Seasons likely contributed to the Oct rise, but likely not the Jan decline.
Read 15 tweets
31 Jan
Many are interpreting data from Denmark as strong evidence of increased transmissibility of B117.

With the caveat that I believe this prevailing hypothesis to be credible, if not likely...

A thread on how Danish data can be explained w/o invoking increase in transmissibility.
First, Denmark should be applauded for their rigorous genomic surveillance. Other countries should follow their example!

The data, in brief, show an increase in the percentage of sequenced cases that are B117, from 0.2% in early December to (prelim) 12% in mid-Jan.
This was, however, occurring in the context of a dramatic fall in cases throughout the country, likely reflecting the effects of a country-wide lockdown. Image
Read 15 tweets

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