Applied Data Science Invited Speakers

The Applied Data Science Invited Talks will provide a venue for leading experts in the world of applied data mining and knowledge discovery. These invited talks will feature highly influential speakers who have directly contributed to successful data mining applications in their respective fields. The talks and discussions will focus on innovative and leading-edge, large-scale industry or government applications of data mining in areas such as finance, health-care, bio-informatics, public policy, infrastructure, telecommunications, social media and computational advertising.

Keynote: Paige Maas

Paige Maas


Facebook Disaster Maps: Aggregate Insights for Crisis Response & Recovery

After a natural disaster or other crisis, humanitarian organizations need to know where affected people are located and what resources they need. While this information is difficult to capture quickly through conventional methods, aggregate usage patterns of social media apps like Facebook can help fill these information gaps. This talk will describe the data and methodology that power Facebook Disaster Maps. These maps utilize information about Facebook usage in areas impacted by natural hazards, producing insights into how the population is affected by and responding to the hazard. In addition to methodology details, including efforts taken to ensure the security and privacy of Facebook users, I’ll also discuss how we worked with humanitarian partners to develop the maps, which are actively used in disaster response today. I’ll give examples of insights generated from the maps and I’ll also discuss some limitations of the current methodologies, challenges, and opportunities for improvement.

Paige Maas is a data scientist on Facebook’s Core Data Science team, and helps create Disaster Maps that humanitarians can use to support communities recovering from disaster. Prior to Facebook, she earned her Ph.D. in Biostatistics from Johns Hopkins University and completed a postdoc at the National Cancer Institute.

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