Resources

How to write a paper:
http://www.howtowriteanacademicpaper.com/index.html

GEE textbook
​https://www.eefabook.org/

Misc tips for good non-fiction writing
https://www.julian.com/guide/write/intro

How to design a good poster:
​https://twitter.com/iamscicomm/status/1532895329045168133

Awesome teaching resources for causal inference
http://mixtape.scunning.com
https://nickchk.com/causalgraphs.html

Generic advice for grad students
​https://medium.com/@paul.niehaus/doing-research-18cb310529e0​

Academia -> industry advice
​https://twitter.com/LifeAfterMyPhD/status/1549496279163580416

Best intuition on the Lagrange multipliers approach to multivariate constrained optimization (a workhorse in math modeling):
https://youtu.be/5A39Ht9Wcu0

Collaborator (partial list)

Sally Thompson (University of Western Australia)
Steve Gorelick (Stanford)
Michèle Müller (Notre Dame)
Gopal Penny (Notre Dame)
Diogo Bolster (Notre Dame)
Jennifer Tank (Notre Dame)
David Dralle (USDA)
Nathan Karst (Babson)
Kevin Roche (Boise State)
Ashok Gadgil (Berkeley)
Amaury Tilmant (Laval)
Maggi Kelly (Berkeley)
Morgan Levy (UCSD)
Shahjahan Mondal (BUET)
Siraj Islam (icddr,b)
Paolo d'Odorico (Berkeley)
Kyle Davis (Delaware)
Nathan Mueller (Colorado State)
Cristina Rulli (Politecnico di Milano)
Jampel Dell'Angelo (VU Amsterdam)
Sandra Eckert (University of Bern)
Meredith Niles (University of Vermont)