Data for change [Theme&Target Audience&Research]

[Why and how I chose the theme]

When we get the list of topic, our PBL group chose "inequality" and did research. While I researched, I found the interesting news that children in the poorest countries have lost four months of schooling since the start of the pandemic. So I examined the relationship between education and inequality and focused on more school closure in education. Because school closure is one of the reasons that cause inequality during Covid19. 

[Target Audience]

While I had decided on my topic, I was in a bit of a bind. Because I did not set the target audience before the second presentation. So I needed to choose a specific target audience. Some people living or studying in high-income and middle-income countries might have no experience when they attend the class. I want to let those people know that many people even cannot afford to attend class via media, including online, tv or radio in low-income countries. Moreover, a learning crisis already existed before COVID-19 hit. So we need to be aware of it because Covid-19 make education crisis more divisive and deepening. 

[Primary Research]

As I have always been, I drew mindmap as primary research to what am I going to research in detail and get a more specific theme.

[Secondary Research]

At first, I did research in the newspaper to see in deep how is this problem serious. After that, I found a lot of data from dependable websites like UN, Unicef, Unesco, Demographic Health Survey (DHS) and the Multiple Indicator Cluster Survey. (MICS).

After I found the data, I organised them by myself via Excel to colour the map to see which countries are implementing online/tv/radio learning methods for children. It took a really long time to find the data and arranged them :(

Data of "The population with access to electricity in Sub-Saharan Africa" was also hard to find. I finally found the data on world bank website because I was not able to access MICS at that moment. (I am even not sure they have the same data with this below)

https://en.unesco.org/covid19/educationresponse/nationalresponses#AFRICA

https://en.unesco.org/news/children-poorest-countries-lost-nearly-four-months-schooling-start-pandemic-unesco-unicef-and

https://en.unesco.org/covid19/educationresponse

https://www.un.org/development/desa/dspd/wp-content/uploads/sites/22/2020/08/sg_policy_brief_covid-19_and_education_august_2020.pdf

https://data.humdata.org/dataset/global-school-closures-covid19

https://www.weforum.org/agenda/2020/11/evolution-higher-education-covid19-coronavirus/

https://interaktiv.morgenpost.de/so-alt-wohnt-berlin/

https://designcensus.org/

https://www.theguardian.com/us-news/ng-interactive/2017/dec/20/bussed-out-america-moves-homeless-people-country-study