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Events for October 17, 2018
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CS Colloquium: Fred Morstatter (USC-ISI) - Discovering, Mitigating and Characterizing Social Data Bias
Wed, Oct 17, 2018 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Fred Morstatter, USC - ISI
Talk Title: Discovering, Mitigating and Characterizing Social Data Bias
Series: CS Colloquium
Abstract: Researchers and practitioners use social media to extract actionable patterns about human behavior. However, biases are inevitable and can either be a hindrance or an asset to such analysis. In this talk, I will discuss perturbations to the underlying data that can lead to flawed analysis. I will show how common assumptions in handling social media data can lead to flawed research results, and suggest approaches to combat these problems. However, if we understand the biases in our dataset it can lead to deeper understanding of the populations we wish to study. Once the biases underlying a social dataset are recognized, researchers are in a better position to study the unique characteristics underlying different cultural groups. This talk will conclude with a discussion of ways to identify cultural groups online and to characterize the biases between them.
This lecture satisfies requirements for CSCI 591: Research Colloquium. Please note, due to limited capacity, seats will be first come first serve.
Biography: Fred Morstatter is a Computer Scientist at the Information Science Institute. His research focuses on understanding biases that occur in online social data. Specifically, he is interested in biases that can skew research results from big social data. He is also interested in characterizing the biases of cultural groups based upon the trace data they create on social media. He has been a key contributor to the Synergistic Anticipation of Geopolitical Events (SAGE) project under IARPA's Hybrid Forecasting Competition. This project combines human judgement with machine forecasts of geopolitical events in the form of a web platform that serves as a vehicle for research in social media mining. He has published in JMLR, WWW, KDD and ICWSM, among others. He is Program Committee Chair for ICWSM 2019. A full list of publications can be found at www.fredmorstatter.com. Contact him at fredmors@isi.edu.
Host: Computer Science
Location: Olin Hall of Engineering (OHE) - 100D
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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CAIS Seminar: Dr. John Prindle (USC) – Predicting Risk of Future Child Welfare Involvement
Wed, Oct 17, 2018 @ 04:00 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. John Prindle, USC
Talk Title: Predicting Risk of Future Child Welfare Involvement
Series: USC Center for Artificial Intelligence in Society (CAIS) Seminar Series
Abstract: Child maltreatment impacts a significant number of children per year and is typically not limited to one encounter with the system. Past records provide a wealth of information which may be used to supplement current maltreatment allegations. Machine learning algorithms in the form of Random Forests were applied to these data to predict risk of future child welfare outcomes, past and present factors.
This lecture satisfies requirements for CSCI 591: Research Colloquium
Biography: Dr. John Prindle is a research assistant professor with the Children's Data Network at USC. His current work focuses on the impact of childhood maltreatment on downstream services such as education and medical services.
Host: Milind Tambe
Location: Mark Taper Hall Of Humanities (THH) - 301
Audiences: Everyone Is Invited
Contact: Computer Science Department
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CS Colloquium: Steve Chien (JPL) - The Growing Role for Artificial Intelligence in Space Exploration and the Search for Life Beyond Earth
Wed, Oct 17, 2018 @ 05:00 PM - 06:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Steve Chien, Jet Propulsion Laboratory, California Institute of Technology
Talk Title: The Growing Role for Artificial Intelligence in Space Exploration and the Search for Life Beyond Earth
Series: Computer Science Colloquium
Abstract: Artificial Intelligence is playing an increasing role in our everyday lives and the business marketplace. This trend extends to the space sector, where AI has already shown considerable success and has the potential to revolutionize almost every aspect of space exploration. I first highlight a number of success stories of the tremendous impact of Artificial Intelligence in Space: over a dozen years of operations of the Autonomous Sciencecraft on EO-1, the Earth Observing Sensorweb tracking volcanoes, flooding and wildfires and automated targeting onboard the MSL Curiosity rover. Next I describe several search and optimization formulations of space scheduling problems: data management for spacecraft and observation scheduling. Finally I discuss why AI is critical to search for life beyond Earth, highlighting the role of AI in Europa Submersible and Interstellar mission concepts.
RSVP: https://goo.gl/forms/iLw0LrMKq6JvqxkD3
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Dr. Steve Chien is a Senior Research Scientist at the Jet Propulsion Laboratory, California Institute of Technology where he leads efforts in autonomous systems for space exploration. Dr. Chien has received numerous awards for his research in space autonomous systems including: NASA Medals in 1997, 2000, 2007, and 2015; he is a four time honoree in the NASA Software of the Year competition (1999, 1999, 2005, 2011); and in 2011 he was awarded the inaugural AIAA Intelligent Systems Award. He has led the deployment of ground and flight autonomy software to numerous missions including the Autonomous Sciencecraft/Earth Observing One, WATCH/Mars Exploration Rovers, Earth Observing Sensorwebs, IPEX, and ESA's Rosetta.
Host: AAAI@USC
Location: Mark Taper Hall Of Humanities (THH) - 101
Audiences: Everyone Is Invited
Contact: Computer Science Department
