# How "digital twins" could help us predict the future

- Institution: TED
- Department: TEDxUTAustin
- Speaker: Karen Willcox
- Year: 2022
- Level: For everyone
- Language: English
- Subjects: Computer science, Engineering, Art, architecture and design
- Source: [TED](https://www.ted.com/talks/karen_willcox_how_digital_twins_could_help_us_predict_the_future)
- Licence: [CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/) (Non-commercial use only, and no changed versions.)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

From health-tracking wearables to smartphones and beyond, data collection and computer modeling have become a ubiquitous part of everyday life. Advancements in these areas have given birth to "digital twins," or virtual models that evolve alongside real-world data. Aerospace engineer Karen Willcox explores the incredible possibilities these systems offer across engineering, climate studies and medicine, sharing how they could lead to personalized medicine, better decision-making and more.

## Lectures

1. [How "digital twins" could help us predict the future](https://invisiblenetwork.ai/learn/ted/karen_willcox_how_digital_twins_could_help_us_predict_the_future/52ad9958fc38), 16 min (TED's player)