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Tackling the Problems of a Changing World with Data | by TDS Editors | Mar, 2023

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  • Crafting stories at a human scale. When we talk about planet-wide issues like population growth or climate change, it’s easy to lose track of the actual people who will consume (and be affected by) these conversations. Emily A. Halford’s overview of artist Norwood Viviano’s work does a great job connecting the dots between data, visual storytelling, and communicating complex messages.
  • Computer vision meets wildlife. Designed well, emerging technologies come with massive potential to help humans live more sustainably in their environments. Abhay Kashyap presents a compelling case study: a project that leverages AI-powered systems to support a nonprofit organization dedicated to preserving wild cats in California.
Photo by Kyle Winkle on Unsplash
  • Assessing the environmental impact of a key industry. With so much public data available for researchers, the challenge often lies in finding the right dataset and defining a reasonable scope for your project. Aine Fairbrother-Browne provides a great example of how to accomplish both, with a study of UK airline data that highlights the aviation sector’s effects on the environment and the areas where it has the greatest potential to improve.
  • How to push transportation planning forward. If you’re interested in geospatial data, urban planning, or graph theory, don’t miss Sutan Mufti’s hands-on primer, which introduces us to the fascinating topic of network analysis for transportation planners. (Sutan uses Python tools you might already be familiar with, so the learning curve is likely to be flatter than you think!)


  • Crafting stories at a human scale. When we talk about planet-wide issues like population growth or climate change, it’s easy to lose track of the actual people who will consume (and be affected by) these conversations. Emily A. Halford’s overview of artist Norwood Viviano’s work does a great job connecting the dots between data, visual storytelling, and communicating complex messages.
  • Computer vision meets wildlife. Designed well, emerging technologies come with massive potential to help humans live more sustainably in their environments. Abhay Kashyap presents a compelling case study: a project that leverages AI-powered systems to support a nonprofit organization dedicated to preserving wild cats in California.
Photo by Kyle Winkle on Unsplash
  • Assessing the environmental impact of a key industry. With so much public data available for researchers, the challenge often lies in finding the right dataset and defining a reasonable scope for your project. Aine Fairbrother-Browne provides a great example of how to accomplish both, with a study of UK airline data that highlights the aviation sector’s effects on the environment and the areas where it has the greatest potential to improve.
  • How to push transportation planning forward. If you’re interested in geospatial data, urban planning, or graph theory, don’t miss Sutan Mufti’s hands-on primer, which introduces us to the fascinating topic of network analysis for transportation planners. (Sutan uses Python tools you might already be familiar with, so the learning curve is likely to be flatter than you think!)

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