I often say to grad students: a reasonable thing to aim for in grad school is ~2-3 essentially complete and posted papers, alongside your JMP. This often looks like your JMP, plus your 2nd-yr paper, a paper from RA'ing for a faculty, or from working with classmates

Of course, some people get top jobs with only one very, very good paper. This is very risky though - you don't know ex-ante whether your paper will be very good! Most schools care about productivity, so having a couple of completed papers helps
Even if the papers are not change-the-world papers. Also, it exercises your paper-writing muscle. Not everyone comes into grad school ready to write ECMA's!
One "mistake" I sometimes see is some students don't take the 2nd year paper seriously enough. That's basically your only big milestone other than your JMP, so if all the time you put into the 2nd year paper doesn't produce a draft, that's a pretty big time sink
Another mistake, ironically, is taking field class paper requirements too seriously. If you take 3 field classes a quarter, 3 quarters, that's 12 papers! There's no way you can write a different one for each class
IMO, you should treat field class papers essentially as a constraint satisfaction problem, rather than an optimization problem. If a paper you plan to include in your portfolio fits the class requirement, even at a big stretch, great, include that
If not, do literally the minimal job you have to do to pass the class. I see some students basically spending 2 months putting together class projects and dropping the thing thereafter, which is like, how is this going to help you on the job market?
Basically, the goal of these class projects is to HELP you build the 3-4 paper portfolio. If you feel like the project is actually distracting you from the portfolio, you're doing it wrong
It is very unlikely, IMO, this will be held against you. For the simple reason that nobody will really remember you. A good paper presented eventually overwrites most ppl's memories of shoddy papers in the past
Another thing is, you should start writing your JMP, IMO, approx. as paper number 2 or 3: when your paper numbers 1 and/or 2 are moving smoothly. The reason is that your first JMP attempt may not work. And that might accidentally generate another paper.
If you write 5 papers before starting your JMP and you take 3 tries to find a good JMP topic, you end up with 8 papers, and... that's a lot of papers
Overall, IMO, the optimal stopping point is above 2 papers, but below something like 5-6. There are big diminishing returns past the 5th paper. You just don't have that much time and paper quality always suffers. 4-5 good papers > 10 shoddy or unoriginal papers
Especially since you don't have a great idea what is actually publishable: some people end up writing 10 things that look like papers but would never publish
(If you can write 10 good papers in grad school you are a genius and have no business taking advice from common folk like me)
Another strat that I've found can work: if you have an "orphan" project that isn't highest on your priority list, but you think is a solid project, consider coauthoring with a lower-year student. An OK JMP can be a great second-year paper
Your junior gets the benefit of your advice and guidance

You get the benefit of your junior's labor :)
Conversely, early in grad school, schmooze with your upperclassmen, be diligent, look for these kinds of opportunities, especially with students that are doing well
This could look like:

Upperclassman: I wonder what a model of X would look like
You (2 days later): Wrote that and solved it, here are some CS

Upperclassman: Wonder what the effect of X on Y is
You: yo, I just pulled ACS data and ran some regressions on it, what to do next
etc. etc., anyways just have a "playmaking" kind of mindset
IMO, upper-lower class coauthorships, or working with junior faculty, works well since there's a natural apprenticeship kind of relationship. The junior does a bit more of the work, and learns from the senior in terms of planning/project direction/etc
a bunch of 2nd years working together sometimes has the issue that nobody knows what a paper should look like, so it's kind of blind leading the blind

That said I've seen it work: just my personal $0.02
Anyways the point of this advice is to create a portfolio which has upside, but also limited downside. With 2-ish finished papers in 3rd year, you set yourself up for writing a great JMP. But if you write just an OK JMP, you're still a good candidate for solid but not top places
I felt relatively comfortable taking bigger risks in 3rd year knowing I had some solid stuff which would probably get me a job somewhere, and I think that helped a lot in doing a JMP on a rather risky topic
I think "productive but risk-taking, bounded downside, potentially big upside" also looks good on the market: worst case is not too bad, best case is very good

More from Education

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.
Time for some thoughts on schools given the revised SickKids document and the fact that ON decided to leave most schools closed. ON is not the only jurisdiction to do so, but important to note that many jurisdictions would not have done so -even with higher incidence rates.


As outlined in the tweet by @NishaOttawa yesterday, the situation is complex, and not a simple right or wrong https://t.co/DO0v3j9wzr. And no one needs to list all the potential risks and downsides of prolonged school closures.


On the other hand: while school closures do not directly protect our most vulnerable in long-term care at all, one cannot deny that any factor potentially increasing community transmission may have an indirect effect on the risk to these institutions, and on healthcare.

The question is: to what extend do schools contribute to transmission, and how to balance this against the risk of prolonged school closures. The leaked data from yesterday shows a mixed picture -schools are neither unicorns (ie COVID free) nor infernos.

Assuming this data is largely correct -while waiting for an official publication of the data, it shows first and foremost the known high case numbers at Thorncliff, while other schools had been doing very well -are safe- reiterating the impact of socioeconomics on the COVID risk.

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