@HAndySchwartz chats with #SPSM about #suicide #prevention and #datascience, 1/31/16 9pCT

Dr. H. Andrew Schwartz chats with #SPSM about the use data science applications in mental health and suicide prevention, 1/31/16, 9pCT

Andy Schwartz specializes in the intersection of computational linguistics and the social sciences, and he’s all ours for 1 hr. If you are feeling the urge to geek out, spend an afternoon reading some of his work.

Take the opportunity to pick his brain about where “the rubber meets the road” on data science applications in suicide prevention. And you might want to check out this article, in particular. He’ll be streaming LIVE, and taking questions:

The Tweets for this chat will be archived on Storify.

schwartz

Andrew Schwartz is an Assistant Professor of Computer Science at Stony Brook University (SUNY). His interdisciplinary research focuses on large and scalable language analyses for health and social sciences. Utilizing natural language processing and machine learning techniques he seeks to discover new behavioral and psychological factors of health and well-being as manifest through language in social media. He received his PhD in Computer Science from the University of Central Florida in 2011 with research on acquiring lexical semantic knowledge from the Web, and he was previously a Visiting Assistant Professor at the University of Pennsylvania and lead Research Scientist for the World Well-Being Project. His work has been featured in The Atlantic, The New Yorker, and The Washington Post.

Dr. H. Andrew Schwartz studies large and scalable computational linguistics for health and social sciences. This includes novel natural language processing and machine learning techniques for: 1) discovering new links with health and well-being as manifest through language in social media, 2) understanding people and personality, and 3) developing language-based metrics of psychological variables. He also develosp algorithms in lexical semantics for word sense disambiguation, concept similarity, and automatic knowledge acquisition from the Web.

About spsmchat

weekly twitter chat and sometimes blog and video blog dedicated to the latest information about suicide prevention and social media (SPSM)
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