So much learning I want to do
- Coding classes: Advanced R, Intro to Python, Machine Learning
- Eventually: ML online competitions!
- 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
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.