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Events for March 21, 2018
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CS Colloquium: Nithya Sambasivan (Google) - Design for Autonomy and Fairness of New Technology Users in the Global South
Wed, Mar 21, 2018 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Nithya Sambasivan, Google
Talk Title: Design for Autonomy and Fairness of New Technology Users in the Global South
Series: CS Colloquium
Abstract: 2017 saw half the world online. As technology penetration and ecosystem maturity increase, there is a growing intent to use technology for socio-economic development for new technology users. However, complex long-standing challenges like affordability, safety, and socio-religious diktats affect people at the cusp of the internet. My work aims to empower new technology users with increased autonomy and fairness through technology. I present my prior work on design and evaluation of a cost transparency tool intended to help new mobile Internet users; design to tackle abuse and safety vectors for women in Internet technologies; and design and deployment of an information broadcasting system for urban sex workers in India. I show how prevailing HCI assumptions of privacy, trust, and user identities need to be challenged as Internet advances to reach all edges of human society. Through these projects, I show how large problems can be practically addressed through a combination of design, policy, and algorithms.
This lecture satisfies requirements for CSCI 591: Research Colloquium. Please note, due to limited capacity, seats will be first come first serve.
Biography: Nithya Sambasivan is a researcher focused on technology design for social, economic and political benefits in the Global South. Her research spans the areas of HCI and ICTD, and has won several recognitions at top conferences. She has been a researcher at Google since 2012, where she has co-founded a group to conduct future-facing research on under-represented topics, such as gender equity and new technology users. Her research has influenced several large-scale real-world projects for the next billion users, and has been directly translated to core libraries, metrics, and guidance for Android and Web developers at Build for Billions, design.google/nbu, and Google I/O talks. Nithya has a Ph.D. and MS in information and computer sciences for University of California, Irvine and and MS in Human Computer Interaction (HCI) from Georgia Tech. Her dissertation focused on technology design for the low-income communities of slums, urban sex workers and microentreprises in India. She is a recipient of Google's Anita Borg and UC Irvine Dean's fellowships. She has interned at Microsoft Research India, Nokia Research Center and IBM TJ Watson.
Host: Milind Tambe
Location: Ronald Tutor Hall of Engineering (RTH) - 115
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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CAIS Seminar: Dr. Ian Holloway (UCLA) - Social Networking Site Data Mining to Understand Substance Use and HIV Risk Among Gay, Bisexual and Other Men Who Have Sex With Men
Wed, Mar 21, 2018 @ 04:00 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Ian Holloway, UCLA
Talk Title: Social Networking Site Data Mining to Understand Substance Use and HIV Risk Among Gay, Bisexual and Other Men Who Have Sex With Men
Series: USC Center for Artificial Intelligence in Society (CAIS) Seminar Series
Abstract: Dr. Holloway's presentation will outline the development of a culturally congruent data collection and mining module (DCMM) to study the social networking site (SNS) use patterns, substance use and HIV risk and protective behaviors of gay, bisexual and other men who have sex with men (MSM). Data gathered through the DCMM will be used to inform just-in-time adaptive interventions to prevent incidence of new HIV cases among this population disproportionately impacted by HIV/AIDS.
This lecture satisfies requirements for CSCI 591: Research Colloquium
Biography: Dr. Holloway is an Assistant Professor in the Department of Welfare at the UCLA Luskin School of Public Affairs and the Director of the Southern California HIV/AIDS Policy Research Center. His applied behavioral health research examines the contextual factors that contribute to heath disparities among sexual and gender minority populations. Dr. Holloway is particularly interested in how social media and new technologies can be harnessed for health promotion and disease prevention. He holds dual master's degrees in social work and public health from Columbia University and a doctorate in social work from the University of Southern California.
Host: Milind Tambe
Location: Seeley Wintersmith Mudd Memorial Hall (of Philosophy) (MHP) - 101
Audiences: Everyone Is Invited
Contact: Computer Science Department
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CS Colloquium: Mark Bun (Princeton University) - Finding Structure in the Landscape of Differential Privacy
Wed, Mar 21, 2018 @ 04:00 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Mark Bun, Princeton University
Talk Title: Finding Structure in the Landscape of Differential Privacy
Series: CS Colloquium
Abstract: Differential privacy offers a mathematical framework for balancing two goals: obtaining useful information about sensitive data, and protecting individual-level privacy. Discovering the limitations of differential privacy yields insights as to what analyses are incompatible with privacy and why. These insights further aid the quest to discover optimal privacy-preserving algorithms. In this talk, I will give examples of how both follow from new understandings of the structure of differential privacy.
I will first describe negative results for private data analysis via a connection to cryptographic objects called fingerprinting codes. These results show that an (asymptotically) optimal way to solve natural high-dimensional tasks is to decompose them into many simpler tasks. In the second part of the talk, I will discuss concentrated differential privacy, a framework which enables more accurate analyses by precisely capturing how simpler tasks compose
This lecture satisfies requirements for CSCI 591: Research Colloquium. Please note, due to limited capacity, seats will be first come first serve.
Biography: Mark Bun is a postdoctoral researcher in the Computer Science Department at Princeton University. He is broadly interested in theoretical computer science, and his research focuses on understanding foundational problems in data privacy through the lens of computational complexity theory. He completed his Ph.D. at Harvard in 2016, where he was advised by Salil Vadhan and supported by an NDSEG Research Fellowship.
Host: Aleksandra Korolova
Location: Ronald Tutor Hall of Engineering (RTH) - 217
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
