SXSW 2019
Next Gen Disaster Response
Description:
When disaster strikes, response teams mobilize to collect, analyze and activate on rapidly changing information. But the growing complexities of today’s disaster landscape make tackling this big data public health challenge a daunting task.
Imagine using autonomous data and response systems or advanced machine learning methods such as deep learning to leverage disaster data. Or, think about employing nontraditional data sources such as drones and LIDAR sensing to enable emergency response and recovery during disasters and other public health emergency situations. Come envision the not-so-distant future of disaster response.
Related Media
Other Resources / Information
Takeaways
- What does innovation in highly complex and rapidly changing environments need to look like?
- How is the disaster threat landscape evolving to leverage data and employ non-traditional sources
- How is disaster response different today than in previous decades?
Speakers
- Jeffrey Freeman, Assistant Program Manager, Johns Hopkins Applied Physics Laboratory
Organizer
Gina Ellrich, Public Affairs Officer, Johns Hopkins University Applied Physics Laboratory
SXSW reserves the right to restrict access to or availability of comments related to PanelPicker proposals that it considers objectionable.
Add Comments