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 an associate at IDinsight in Nairobi, Kenya. IDinsight is a non-profit organization that uses a variety of data-driven research methods to help decision makers in the development field maximize their social impact.

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