Join Project Resilience for a Sustainable Future!

Join Project Resilience for a Sustainable Future!

📋Table of Contents:

  1. Introduction
  2. The Goal of Project Resilience
  3. The MVP and Its Objectives
  4. The Data Collection Process
  5. Challenges in Obtaining Outcome Data
  6. The Architecture of Project Resilience
  7. The Benefits and Contributions of Project Resilience
  8. Call for Volunteers and Support
  9. Conclusion

Introduction

Welcome to the AI for Good webinar on Project Resilience. In this webinar, we will discuss the progress and next steps for Project Resilience, a global initiative that aims to use artificial intelligence (AI) to address challenges related to the United Nations Sustainable Development Goals (SDGs).

The Goal of Project Resilience

Project Resilience was established with the objective of creating a platform that enables collaboration on building predictive and prescriptive models. The goal is to provide decision-makers on the ground with the insights and tools to make informed decisions that impact their regions and contribute towards achieving the UN SDGs.

The MVP and Its Objectives

The MVP (Minimum viable Product) workgroup, consisting of more than 20 volunteers, has been tasked with developing the initial version of the Project Resilience platform. The workgroup aims to launch the MVP by mid-2023, with a full release by the end of 2023. The MVP will focus on data exploration, model development, and creating an architecture that supports sustainable models for various stakeholders globally.

The Data Collection Process

Data collection is a crucial aspect of Project Resilience. The team is primarily focused on gathering publicly available data related to climate change and energy transition. Historical data on decisions, actions, and outcomes are being collected to train models and gain insights. The team is also exploring the possibility of incorporating private and public datasets to enhance the accuracy and applicability of the models.

Challenges in Obtaining Outcome Data

One of the challenges faced by Project Resilience is the availability of outcome data within a reasonable time frame. Unlike actions and decisions, which can be relatively easier to Collect, outcome data, such as emissions reduction, may take years to manifest. However, efforts are underway to find reliable sources of outcome data and link them to the actions and decisions taken.

The Architecture of Project Resilience

The architecture of Project Resilience is designed to Scale beyond the MVP. AWS (Amazon Web Services) is currently being considered as the primary cloud provider, but other providers are also being evaluated. The architecture aims to provide a secure and accessible environment for data engineers, data scientists, and decision-makers to collaborate and utilize the platform effectively.

The Benefits and Contributions of Project Resilience

Project Resilience offers numerous benefits, including the opportunity for organizations and individuals to contribute to global sustainable development efforts. Volunteers with expertise in machine learning, data science, devops, Project Management, and ethics are encouraged to join the community and contribute their skills. Furthermore, contributions of data, insights, and financial support are essential for the success of Project Resilience.

Call for Volunteers and Support

Project Resilience invites volunteers and organizations to join the effort and help Shape the future of the project. Contributions can be made in various ways, including data collection, model development, user experience design, and project management. Funding support is also crucial to ensure the sustainability and global availability of the Project Resilience platform.

Conclusion

Project Resilience is a collaborative initiative aimed at leveraging AI and data to address global challenges related to sustainable development. With the support of volunteers, experts, and organizations, Project Resilience strives to create a publicly available platform that empowers decision-makers and contributes to a more sustainable future. Join us in this important endeavor and be part of the solution.

Highlights

  • Project Resilience is a global initiative that uses AI and data to address UN SDGs.
  • The MVP workgroup aims to launch the initial version of the platform by mid-2023.
  • Data collection focuses on climate change and energy transition.
  • Outcome data is a challenge due to the time frame required for manifestation.
  • The architecture of Project Resilience is designed for scalability and accessibility.
  • Volunteers and support are crucial for the success of Project Resilience.

FAQ

Q: How can I contribute to Project Resilience?

A: Project Resilience welcomes volunteers with expertise in machine learning, data science, devops, project management, and ethics. You can join the community and contribute your skills by visiting the Project Resilience webpage and joining the Slack Channel.

Q: What data is being collected for Project Resilience?

A: Project Resilience aims to collect publicly available data related to climate change and energy transition. This includes historical data on decisions, actions, and outcomes that will be used to train models and gain insights.

Q: How can I support Project Resilience financially?

A: Funding support is crucial for the sustainability and global availability of Project Resilience. If you are interested in providing financial support, you can reach out to the Project Resilience team through the website or Slack channel.

Q: What is the timeline for the completion of Project Resilience?

A: The MVP is expected to be launched by mid-2023, with a full release by the end of 2023. However, continuous development and enhancement of the platform will be an ongoing process.

Q: How can Project Resilience benefit decision-makers and organizations?

A: Project Resilience aims to provide decision-makers with valuable insights and tools to make informed decisions that impact their regions. Organizations can contribute to and utilize the platform to address climate change and achieve sustainable development goals.

Resources:

  • [Project Resilience Webpage](insert webpage URL)
  • [Project Resilience Slack Channel](insert Slack channel URL)

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