#SanMateo: Using Data 4 Good: Alleviating Poverty And Tracking Online Hate Speech

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Using Data 4 Good: Alleviating Poverty And Tracking Online Hate Speech

What we'll do:
6:30 pm: Doors open for networking
7:00 pm: Elliott Collins, Using Data to Alleviate Poverty
7:30 pm: Vlad Khaykin, Using Data to Combat Hate
8 pm: Q&A and more networking

RSVP here on meetup. 

101 S. San Mateo Drive 4th Floor, San Mateo, CA 94401

About the Speakers:
Elliott Collins (Senior Research & Evaluation Manager at Kiva.org)

As part of the Kiva Labs initiative, Elliott's focus is on how and where access to subsidized credit can help to alleviate poverty. He has a PhD in Agriculture & Resource Economics from UC Berkeley where he did research on approaches to measuring individual welfare and how that informs impact evaluation. He is especially interested in replicating influential research and the ways public collaboration can help us learn more from complex datasets.

Elliot will be sharing more about Kiva's partnership with Kaggle for their Inaugural Data Science for Good challenge where Kiva is inviting the Kaggle community to help them build more localized models to estimate the poverty levels of residents in the regions where Kiva has active loans. More information on the challenge: https://www.kaggle.com/kiva/data-science-for-good-kiva-crowdfunding

Vlad Khaykin (Associate Director, Anti-Defamation League)

Vlad is a writer, educator, activist, speaker and consultant. He has advised leading social media and tech companies on addressing hate and extremism on their platforms, advocated with lawmakers and foreign dignitaries on matters of civil rights, hate crimes and radicalization and provided strategic messaging solutions for government, business and nonprofit organizations. He has been published and quoted in the New York Times, Haaretz, the Jewish Daily Forward, J. Weekly, Times of Israel and others.

Vlad will be sharing more about the ADL Center for Technology and Society's partnership with U.C. Berkeley's D-Lab to create AI and Machine Learning algorithms that work to identify and track online hate speech. From this research, they created The Online Hate Index (https://www.adl.org/resources/reports/the-online-hate-index) and are working with the tech industry to help stop the spread of the growing amount of online hate speech. More information on the research: https://www.adl.org/news/press-releases/adl-uc-berkeley-announce-groundbreaking-project-using-ai-machine-learning-to