All posts filed under: Society

Letters on Tuesdays- Learning to Learn

Dear Wilton, Where do I even begin? The first time I held you in my arms, you were this tiny little baby, thirteen years my junior. That age gap is precisely the reason your sisters and I ended up missing the majority of your growing up; I have not been by your side since you were 4. Over the years, I tried to be the best brother I can be despite the distance, but in many ways it does not feel enough. I cannot be there for you like I was for Willy and Jenny, and I cannot grow with you like I did with them. So here I am, perhaps in a way to stimulate your critical thinking, perhaps in a way to serve up some brotherly advice. In this way, perhaps I can make up the lost time and grow with you, now that you are finally at an age where we can hold a proper conversation. Perhaps, you can get to know me a little better. I remember a couple months ago, …

A Brief about Letters on Tuesdays

Dear Friends, Starting tomorrow, I will be posting a serials of short essays every Tuesday on a wide variety of topics in the format of letters to my little sister, Wilton. It will be an exploration and a reflection based on my various experiences over the last 27 years. It will also be a creative project to hone and expand my skills in communication and writing. If there is any topic or issue you want me to write about, don’t hesitate to let me know. I hope you will enjoy them! William

A Short About Policy Making

Have you ever wondered about the city you live in: its history, its planning, its development? The Guardian has an incredible 50-part series on the history of urbanization from around the world. The more you read about cities, the more they become a metaphor for life – patience, plans, foundations, and changes. Any sort of urban development can takes years and decades. The saying goes, “Rome wasn’t built in a day”. Furthermore, even the best laid plans can be easily swept aside by unforeseen circumstances or self-created consequences. Yet, without plans and goals, a city will cease to exist. Therein lies the paradox of urban planning (and of life) – each action results in an infinite possibility of reactions. You want to capture the current circumstances and anticipate future change, but it is always an impossibility. You create that which you hope to contain, and yet what you hope to contain is based on projections, assumptions, and visions that can easily fall apart in an instant… The building of cities always serves as an expression of the political …

Data Analysis and Interpretation Capstone

So, this is the end. It took six months, but today I completed and was certified for the Data Analysis and Interpretation Specialization by Wesleyan University through Coursera. When I first started in October 2015, I had no idea how to write code in Python, let alone produce graphs and run statistical analysis. It has been a fun experience learning how to write code in Python and learning the different kinds of statistical methods. Ironically, I learned these after I left graduate school. One would think that these are method courses you would take in school. For the Capstone Project, I do wish the data was more complete and over a longer period of time. It is difficult to run analysis on data that only goes back as far as 1972 and in many cases, missing records for many years in between. The results can be quite misleading, as it pointed to fertility rate as being highly correlated with environmental sustainability. However, fertility rate, in many cases is contingent on many different factors that are both quantitative …

Capstone Project: Results

For those following my blog on my Data Analysis and Interpretation Specialization by Wesleyan University through Coursera, this is the final course and the Capstone project. Unlike previous courses, I will move away from urbanization data and try to tackle one of the problems provided by the course’s industry partner. This is my introduction. Below is our third assignment – the preliminary results. Results Only the results for Burundi, Ethiopia, and Liberia will be reported, as the other countries demonstrated no change or very slight change in the ensure environmental sustainability index. Descriptive Statistics: The following table shows the descriptive statistics for the Ensure Environmental Sustainability Index for each of the selected countries, starting from the lowest GDP per capita group to the highest. The standard deviations are much greater for the lowest GDP per capita group compared to the others. In three countries, Seychelles, Canada, and Ireland, no change in the value of the index was observed. It would appear that countries that reach a certain GDP per capita will have achieved a mean Ensure …

Capstone Project: Methods

For those following my blog on my Data Analysis and Interpretation Specialization by Wesleyan University through Coursera, this is the final course and the Capstone project. Unlike previous courses, I will move away from urbanization data and try to tackle one of the problems provided by the course’s industry partner. This is my introduction. Below is our second assignment – the data management and analysis methods. Methods Sample: Out of the 211 World Bank recognized sovereignties, 8 (N=8) were chosen for this study. Countries that has the Ensure Environmental Sustainability goal were selected: three countries with the lowest GDP per capita (Burundi, Ethiopia, Liberia), three countries with the highest GDP per capita (Canada, Ireland, United States), and two from the median (Estonia, Seychelles). In addition to identifying associations between variables and the four sustainability indicators, this selection was used to also investigate how variable relationships differ in countries with varying degrees of economic development. Each country, depending on available data, has between 26 to 43 indicators for analysis with 36 years of data from 1972 to …

Capstone: Variables Associated With Environmental Sustainability – A United Nations Millennium Development Goal

For those following my blog since the start of my Data Analysis and Interpretation Specialization by Wesleyan University through Coursera, this is the final course and the Capstone project. Unlike previous courses, I will move away from urbanization data and try to tackle one of the problems provided by the course’s industry partner. Below is our first assignment – the introduction to my final report. Variables Associated with Environmental Sustainability Using data provided by the World Bank, through DrivenData, this study looks to identify factors associated with the Environmental Sustainability Indicator defined as an United Nations Millennium Development Goal (MDG). Preliminary explanatory variables are Gross National Income, Forest Area, CO2 Emissions, Employment, Foreign Direct Investments, Household Final Consumption Expenditure, Adult Literacy Rate, Urban Population, Investments in Energy, and Energy Use. This mix of both economic and social factors will be examined for associations with the UN-MDG indicator of environmental sustainability. After the associated variables are identified, they will be used to create a model to predict data for the years 2008 and 2012. As a social/urban scientist interested …