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Omidyar Network & DataKind Extractives Learning Out Loud Webinar 2
What if we could use satellite imagery to automatically detect illegal mining from afar or use anomaly detection to flag contracts that differ from standard ones and may include potentially unfair or questionable language? Until now, the dominant use of data in the extractives industry has been reserved for descriptive and summary analytics, but new opportunities to leverage more advanced techniques like machine learning and artificial intelligence are just emerging thanks to the groundwork laid by Omidyar Network investees and others.

During our quarterly Learning Out Loud webinars, we’ll share insights uncovered on projects currently underway with Omidyar Network investees to leverage data science in the fight against corruption in the extractives industry. Each project has a learning team made up of data scientists and subject matter experts that will share take-aways and surface recommendations applicable to industry practitioners in an age of improving transparency and data availability.

We encourage all interested parties to come learn and ask your questions.

*Webinar Confidentiality Agreement*
By registering for this webinar, you agree to the following terms:
That as a DataKind (“DK”) webinar participant, you will keep any and all webinar disclosures, webinar videos, and all other sensitive webinar material confidential.

You understand that the webinars are the property of DataKind and may not be copied, published or distributed without express written permission from a DK staff member.

You understand that any confidential information without the express permission of a DK staff member on social media sites or via email is prohibited.

You understand that any communication or information transmitted during the webinar may be recorded and further used by DK.

If you do not agree to any of the following terms, please contact Erin Akred (erin@datakind.org) before registering for this webinar.

Oct 24, 2017 11:00 AM in Eastern Time (US and Canada)

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