A lot happened in my MSc: I won several scholarships, my Dad died, I submitted my thesis work to a major conference, annnd there was the pandemic.
I’ve had a fantastic MSc experience (almost done!) and have been talking to a lot of incoming or current students. Some topics / questions come up a lot. Here’s what I know!
🧵 Tips for an awesome MSc experience.
#AcademicTwitter #AcademicChatter @OpenAcademics @academeology
A lot happened in my MSc: I won several scholarships, my Dad died, I submitted my thesis work to a major conference, annnd there was the pandemic.
Choosing a thesis topic: Read read read.
What are you interested? Pick an umbrella topic and start reading. Follow the rabbit holes. Write questions, answers, more questions. When you find questions you cannot answer, you might have a thesis topic.
My first semester a professor said “if your research ideas don’t change, you haven’t learned anything.”
No one is going to pull up your SOP and hold you to whatever you said you were interested in upfront.
What will you do, broadly? One study? Two? A review paper? Meta-analysis? As early as possible, find out what YOU actually need to do to complete your thesis. ESPECIALLY if you’re in a lab with lots going on. What is YOUR requirement?
Make up a timeline with your PI. Consider your goals: do you want to submit to a particular conference? Conduct a follow up study? Work backwards. When do you need data? Ethics? Your proposal done? The best thing I did was set goals and work backwards to time it.
If you do human or animal research you need ethics approval. Look into the process right away. Different schools follow different procedures. Black out dates, differing protocols depending on your sample, etc. could all impact your timeline. Look into this ASAP.
I use Mendeley, others use Zotero. It doesn’t really matter, just use one starting immediately. It will save you HOURS and help you stay organized. Make it a top priority to get comfortable with a referencing software.
I guarantee you that your department has a badass and under utilized librarian. The first time you do a lit review, see the librarian. Writing your first paper? Librarian. Unsure about how to cite/reference? You guessed it. Librarian!
This could be a whole other thread, but in short: apply to everything you are eligible for. Put them on your calendar, get crystal clear on the requirements and START EARLY. I have held 4 scholarships during my MSc worth $45,000.
You’re going to work one-on-one with your PI a lot but there are other people in your department who will make your experience better. Stop in the hall and talk to them. Read their papers. Still online? Invite them for virtual coffee.
You have probably heard that your relationship with your supervisor is important it SO TRUE. If you still have some choice, choose someone who get along with, whose mentorship style works for you, and who supports your goals.
You will need work ethic and a plan, particularly once you no longer have courses and the structure ends. I work in time blocks. Find what works for you and work every day.
Grad school is not a straight line. Things happen. Like I mentioned, I had a major blow: my Dad died. I have learned, though, that the more you work consistently and the more you have a plan, the more you will be buffered against the blows.
Don't just track of your accomplishments; pay attention to what learned to do. Data analysis. Lit review. Grant writing. These are transferable skills into both PhD and industry. Think about this - constantly.
If you ever look at your schedule or consider taking on a project and think “Ok... if I stick to this EXACT schedule... ” then you have over done it. If sleeping through your alarm would make your life fall apart, it's too much.
My friend and I are also hosting a Clubhouse Room tonight at 8PM EST on these topics and more. All are welcome! https://t.co/RJCF2vlNjG
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Working on a newsletter edition about deliberate practice.
Deliberate practice is crucial if you want to reach expert level in any skill, but what is it, and how can it help you learn more precisely?
A thread based on @augustbradley's conversation with the late Anders Ericsson.
You can find my complete notes from the conversation in my public Roam graph:
https://t.co/Z5bXHsg3oc
The entire conversation is on
The 10,000-hour 'rule' was based on Ericsson's research, but simple practice is not enough for mastery.
We need teachers and coaches to give us feedback on how we're doing to adjust our actions effectively. Technology can help us by providing short feedback loops.
There's purposeful and deliberate practice.
In purposeful practice, you gain breakthroughs by trying out different techniques you find on your own.
In deliberate practice, an expert tells you what to improve on and how to do it, and then you do that (while getting feedback).
It's possible to come to powerful techniques through purposeful practice, but it's always a gamble.
Deliberate practice is possible with a map of the domain and a recommended way to move through it. This makes success more likely.
Deliberate practice is crucial if you want to reach expert level in any skill, but what is it, and how can it help you learn more precisely?
A thread based on @augustbradley's conversation with the late Anders Ericsson.
You can find my complete notes from the conversation in my public Roam graph:
https://t.co/Z5bXHsg3oc
The entire conversation is on
The 10,000-hour 'rule' was based on Ericsson's research, but simple practice is not enough for mastery.
We need teachers and coaches to give us feedback on how we're doing to adjust our actions effectively. Technology can help us by providing short feedback loops.
There's purposeful and deliberate practice.
In purposeful practice, you gain breakthroughs by trying out different techniques you find on your own.
In deliberate practice, an expert tells you what to improve on and how to do it, and then you do that (while getting feedback).
It's possible to come to powerful techniques through purposeful practice, but it's always a gamble.
Deliberate practice is possible with a map of the domain and a recommended way to move through it. This makes success more likely.
Normally I enjoy the high standards of journalism in @guardian . Not today as disappointed with misleading headline that suggest infections are spreading fastest in children. It'll worry parents/teachers & I doubt most readers will unpick the
The latest REACT1 report shows prevalence of infection in ALL age groups has fallen, including children aged 5-12 from 1.59% in Round 8 to 0.86% in Round 9a. The authors of REACT1 report also (wisely) didn't try to interpret the prevalence figures.
If this were a research trial you wouldn't place much weight on the age differences in % prevalence because of the wide confidence intervals, i.e. differences weren't statistically significant.
3/
I've previously tweeted on the challenges (& dangers) of interpreting surveillance data. One would need lots more contextual info to make sense of it & arrive at sound
Undoubtedly some will extrapolate from the prevalence of infection figures in children to other settings i.e. schools based on the headline. I'd advise caution as there is a real risk of over-interpretation through extrapolation of limited data. Association is not causation.
5/
The latest REACT1 report shows prevalence of infection in ALL age groups has fallen, including children aged 5-12 from 1.59% in Round 8 to 0.86% in Round 9a. The authors of REACT1 report also (wisely) didn't try to interpret the prevalence figures.
If this were a research trial you wouldn't place much weight on the age differences in % prevalence because of the wide confidence intervals, i.e. differences weren't statistically significant.
3/
I've previously tweeted on the challenges (& dangers) of interpreting surveillance data. One would need lots more contextual info to make sense of it & arrive at sound
Misinterpretation of surveillance data is a serious issue. Surveillance data needs to come with a warning label - Open to biases - interpret with caution! Some may not realize that surveillance often does not measure all infection, it's a proxy for actual disease incidence.
— Andrew Lee (@andrewleedr) February 14, 2021
1/
Undoubtedly some will extrapolate from the prevalence of infection figures in children to other settings i.e. schools based on the headline. I'd advise caution as there is a real risk of over-interpretation through extrapolation of limited data. Association is not causation.
5/
