Many times algorithms are built off of datasets that do not represent all of the users. In technology, designing the systems in a way that captures a represented group of people is extremely important, so that analysis is not bias towards a particular group. Designing the analysis with this in mind is also critical to ensure that it does not exclude or misinterpret important data. This discussion will cover the design elements to keep in mind when capturing data through technology and how to ensure you design your analyses with representation as a criteria.

This session includes optional virtual networking at the end! Stick around for 20 minutes after 1:00 PM ET if you are interested in meeting other attendees of the event.

Access Info:

• You will receive an email with login information upon registration, 48 hours, and 2 hours before the event.
• Don't see your sign in link? Check your SPAM FOLDER for an email from Eventbrite or Women in Analytics.
• Still don't see it? Send a note to info@womeninanalytics.com.
• This event series is recorded! If you register, we'll make sure to follow up with a recording to watch after the event airs.

About our Event Partner:

Tableau helps people see and understand data. Tableau’s self-service analytics platform empowers people of any skill level to work with data. From individuals and non-profits to government agencies and the Fortune 500, tens of thousands of customers around the world use Tableau to get rapid insights and make impactful, data-driven decisions. See how Tableau can help you by downloading the free trial at www.tableau.com/trial.

Note:

All sessions of this event series are open to all genders. All participants must abide by the Women in Analytics Code of Conduct.