Python Conference APAC 2024

Enlightened with Python: Is It Making a Difference or Making Things Worse? (Empowering Citizens with Python for Better Public Policy)
2024-10-27 , CLASS #4
Language: English

In this session, I will demonstrate how Python can be leveraged to analyze the impact of public policies. While it might sound complex, Python simplifies the process significantly. Attendees will see visualizations that can tell a 'story' using geemap and Google Earth Engine. I will showcase the power of Python through simple yet powerful commands supported by these tools. By incorporating some statistical analysis, we can determine the actual impact of the development.

As technologists or enthusiasts, we can contribute to society by presenting data-driven insights, even if we cannot directly implement policies ourselves. This session aims to show that with basic programming skills, anyone can analyze and inform public discourse. If we cannot change policies, we can at least tell !.


Background :
I invite you to explore the critical issue confronting "North Bandung", a region vital for its ecological resilience and community well-being. Once celebrated for its natural beauty and climate balance, North Bandung now faces imminent threats from rapid urbanization and environmental degradation.

Objective :
We'll track the evolution of Bandung over the years, using simple machine learning techniques accessible to all. We will show you timelapse imagery and compelling visual narratives enhanced by geemap. illustrating the profound changes shaping Bandung's landscape. Our goal is to showcase how technology can empower us to advocate for sustainable policies and ensure a vibrant future for our communities.

Outline :

  1. Introduction (3 minutes)
    - Brief Introduction.
    - Overview of session objectives.

  2. Background (7 minutes)
    - Why it matters? .
    - A Story: North Bandung Development.

  3. Demonstration (13 minutes)
    - Overview of Google Earth Engine and geemap.
    - Creating Split-panel Maps.
    - Creating Timelapse.
    - Statistical Analysis using Python.
    - Key findings from the analysis.

  4. Q&A and Conclusion (7 minutes)
    - How such analyses can inform and influence public discourse.
    - Open floor for questions.
    - Encouragement to use Python for public good.

See also:

Hi, I'm Yudha. My passion lies in optimizing policies to their fullest potential. I’m currently a Master's student at the School of Architecture, Planning, and Policy Development, and I also work as a data analyst at Jejakin, an environmentally-focused company.

I aim to solve real-world problems through data. My academic journey is centered around economic development, data science, and public policy analysis. Specializing in Urban Analytics, I’m committed to uncovering insights and driving impactful solutions. I thrive on challenges and look forward to shaping a sustainable future using data.