Digital Footprints: What Can Be Learned From The Traces We Leave On Social NetworksOnline Access Free
May 30, 2018 · Webcast
In this first webcast in a two-part series, we will describe what metadata is and what information can be gleaned from it.
About the Webinar
Social networks have become part of our daily lives. We browse, share, “like,” and generally communicate with friends using these tools every day. In the midst of all this, we rarely stop to consider how much information about ourselves we are freely handing over to the social network companies. This information, called “metadata,” contains an incredibly rich—and often frighteningly detailed—view of some of the most personal aspects of our lives.
In this first webcast in a two-part series, we will describe what metadata is and what information can be gleaned from it. Specifically, we’ll discuss:
- How metadata gets generated
- How it can be used to uncover extensive personal information
- Steps you can take to protect your privacy
Who Should Attend
- Executives and managers concerned about privacy as it relates to their businesses
- Policymakers interested in understanding metadata
- Any individual responsible for corporate risk who wants to understand risks posed by metadata oversharing
- Anyone who participates in online networks
About the Speakers
April Galyardt is a statistician and data scientist specializing in applications of statistical machine learning tools to cognitive science, learning analytics, and educational data mining.
Carson Sestili is a machine learning research scientist in the CERT Data Science group, where he uses data science, statistics, and machine learning for research in cybersecurity and intelligence.