Logistics

Deliverables

SNO	Component	Description	Format
1	Literature Review	In depth literature review building on what was already done before, in the direction of the current research objective. Specific literature review for RQ #1 around what the best approach would be to estimate PM2.5 using existing work	Markdown file for web-book
2	Data Processing/Combining	Pipeline that loads all required datasets and produces the variables for modelling.	Nice to have: Script Need to have: Jupyter notebook (one per variable)
3	Exploratory Data Analysis	Explore the variable’s distribution and correlations between each other	Jupyter notebook ready for deployment
4	Model for PM2.5	TBD model or other methodology to estimate PM2.5 values using remote sensing and other open datasets	Jupyter notebook ready for deployment
5	Model	Model(s) to estimate the relationship between different economic variables (any other variables) and Air Pollution data.	Notebook
6	Final Presentation	PPT, PDF or web-book showing final insights from the data. Web-book is most preferred	-

Proposed Project Timeline

Week Commencing	Deliverables	People Involved	Status
26th Jan, 2026	Literature of work done by Imperial College London, existing studies around using air pollution as a proxy for economic activity
	Create a new GitHub repository for Air Pollution Projects	Sahiti, Sol
	Check access to email and GitHub	Sahiti, Students	Get students’ GitHub handles
28th Jan 2026	Introductory email to project proposals	Students, Sahiti, Sol, professors
2nd Feb 2026	Meet and Greet with the students	Sahiti, Sol, Abril, Aldo, Claudia, Students
2nd Feb 2026	Conduct Literature Review on the best ways to estimate PM2.5 using existing satellite remote sensing data.	Students
	Conduct literature review on the relationship between NO2, CH4, PM2.5 and other Air Pollution variables to GDP sectors such as manufacturing, hydrocarbon activity and transportation.
	Review existing models and work done by previous students	Students
	Output: Literature Review Document
9th Feb 2026	Bi-weekly meeting with students	Sahiti, Sol
	Continue literature review to identify models and variables that can be used to estimate the relationship between pollutants and sector-specific GDP estimates	Students
	Identify model to estimate PM2.5; check data availability	Students
	Output: Refined literature review; EDA notebook outlining input data to estimate PM2.5
16th Feb 2026	Build the model to estimate PM2.5 in Pakistan, and any one of the countries of your choice.	Students
	Exploratory Data Analysis of NO2, CH4 and any other variables that will be used in the model to study relationship between pollutants and GDP	Students
	Identify the most relevant sectors from the list of sectors in Algeria and Myanmar
	Output: Model for PM2.5; EDA Notebooks for variables used in GDP-Pollution model
23rd Feb 2026	Continue fine tuning the model for PM2.5
	Bi-weekly meeting with students	Sahiti, Sol, Students
	Identify the model(s) to be used to study the relationship between GDP and pollutants
	Output: Initial PM2.5 results for Pakistan
2nd March	Create the model between GDP and pollutants		Sol on leave
	Complete the PM2.5 models
	Output: PM2.5 results for Pakistan; Notebooks that can replicate it for any other location; Initial model for GDP-Pollution
9th March	Continue fine tuning the model(s) for GDP-Pollution		Sol on leave
	Bi-weekly meeting with the students	Sahiti, Sol
16th March	Continue to fine tuning model(s) and write up initial results
23rd March	Continue fine tuning the model(s) and write up main results		Sahiti on leave
	Bi-weekly meeting with students	Sol and Aldo
30th March	Demo Presentations of final presentation with Sahiti and Sol	Sahiti, Sol	Sahiti on leave (Available on 30th-31st)
	Write up final report, create a narrative for the report
	Invite Daniel (Algeria Chief Economist), Kemoh (Myanmar Chief Economist), Economists from Pakistan and any other relevant parties	Sahiti
6th April	Write up final report, create a narrative for final presentation
13th April	Final Presentations	Students, Sahiti, Sol