How should I use my professional development time?

So much learning I want to do

  • Coding classes: Advanced R, Intro to Python, Machine Learning
  • Reading academic articles
    • In economics
    • In global health sector
  • Reading development-related articles
  • Summarizing/critiquing work-related articles
    • And post online
    • And share on internal knowledge management channels
  • Read Poor Economics for real (embarrassed I’ve only read half of it though)
  • Read Field Experiments book
  • Stata challenges from work
  • Plan a brown bag lunch presentation or chai & chat on a topic that interests me
    • An opportunity to practice presenting a slide deck
  • Read/plan for Tech Team Bookclub meetings on Machine Learning
  • Create a mapping portfolio by doing GIS challenges (possible??)

So little time…

I have blocked out three hours a week for my own PD. What do I want to prioritize? How scheduled/organized should I be about this?

I want to use the time for a mix of projects. This week, I want to read and write about one academic article related to health care and economics. It’s something I’ve been meaning to do. That should take 2 hours – I’ll polish and post my thoughts on my own time. Then, I can use the rest of the time to investigate what kind of mapping questions I can start looking into. I’m very excited about maps.

Long-term, I can plan to split it up into 2-3 chunks so I can make some progress on each of my projects across time.

  • I’ll come back to the coding and the books later
  • I’ll do Tech Team Bookclub and Stata challenges as they arise at work
  • I’ll plan for a mix of reading & writing about articles and GIS for now
    • Maybe once I have some cool maps made, I’ll do a brown-bag and an internal blog post about spatial data in Africa and how it’s relevant for IDinsight

This week

2 hours: I want to break down what heterodox vs. pluralistic vs. mainstream economics are. The idea of alternative economic models really appeals to me, but I don’t know what the big distinctions or points of conflict are. I’ll find some sources on my own time this week, and on Friday, read them and write up a summary for here.

1 hour: Investigate spatial data available for Kenya, maybe read an article on general spatial data quality in Africa.

Published by

Hannah Blackburn

Hannah Blackburn is a Research Associate at UCSD with JPAL's Payments and Governance Research Group, under Professors Paul Niehaus and Karthik Muralidharan.

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