Young Achievers Symposium

The CSRAI Young Achievers Symposium series highlights early career researchers in diverse fields of AI for social impact. The symposium series seeks to focus on emerging research, stimulate discussions, and initiate collaborations that can advance research in artificial intelligence for societal benefit.

All events in the series are free and open to the public unless otherwise noted. Penn State students, postdoctoral scholars, and faculty with an interest in socially responsible AI applications are encouraged to attend.

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Upcoming Events

4:00 pm - 5:00 pm
Virtual (Zoom)

Ana-Andreea Stoica, a doctoral candidate at Columbia University, will deliver “Diversity and Inequality in Social Networks” as part of CSRAI's Young Achievers Symposium.

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“Diversity and Inequality in Social Networks”

Online social networks often mirror inequality in real-world networks, from historical prejudice, economic or social factors. Such disparities are often picked up and amplified by algorithms that leverage social data for the purpose of providing recommendations, diffusing information, or forming groups. In this talk, Stoica discusses an overview of my research involving explanations for algorithmic bias in social networks, briefly describing my work in information diffusion, grouping, and general definitions of inequality. Using network models that reproduce inequality seen in online networks, we'll characterize the relationship between pre-existing bias and algorithms in creating inequality, discussing different algorithmic solutions for mitigating bias.

About the Speaker

Ana-Andreea Stoica is a doctoral candidate at Columbia University. Her work focuses on mathematical models, data analysis, and inequality in social networks. From recommendation algorithms to the way information spreads in networks, Stoica is particularly interested in studying the effect of algorithms on people's sense of community and access to information and opportunities. She strives to integrate tools from mathematical models—from graph theory to opinion dynamics—with sociology to gain a deeper understanding of the ethics and implications of technology in our everyday lives. Ana grew up in Bucharest, Romania, and moved to the US for college, where she graduated from Princeton in 2016 with a bachelor's degree in Mathematics. Since 2019, she has been co-organizing the Mechanism Design for Social Good initiative.

About the Symposium

The Young Achievers Symposium highlights early career researchers in diverse fields of AI for social impact. The symposium series seeks to focus on emerging research, stimulate discussions, and initiate collaborations that can advance research in artificial intelligence for societal benefit. All events in the series are free and open to the public unless otherwise noted. Penn State students, postdoctoral scholars, and faculty with an interest in socially responsible AI applications are encouraged to attend.

4:00 pm - 5:00 pm
Virtual (Zoom)

Kai Wang, a doctoral candidate at Harvard University, will deliver a talk as part of CSRAI's Young Achievers Symposium.

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About the Symposium

The Young Achievers Symposium highlights early career researchers in diverse fields of AI for social impact. The symposium series seeks to focus on emerging research, stimulate discussions, and initiate collaborations that can advance research in artificial intelligence for societal benefit. All events in the series are free and open to the public unless otherwise noted. Penn State students, postdoctoral scholars, and faculty with an interest in socially responsible AI applications are encouraged to attend.

4:00 pm - 5:00 pm
Virtual (Zoom)

Ryan Shi, a doctoral candidate of societal computing in the School of Computer Science at Carnegie Mellon University and founder of 98Connect, will deliver “From a Bag of Bagels to Bandit Data-Driven Optimization” as part of CSRAI's Young Achievers Symposium.

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“From a Bag of Bagels to Bandit Data-Driven Optimization”

In this talk, Shi will start with his three-year collaboration with a large food rescue organization. His group developed a recommender system to selectively advertise available rescues to food rescue volunteers, which improves the notification system's hit rate from 44% to 78%. Motivated by the pain points experienced in this and other works, Shi proposes bandit data-driven optimization, a new learning paradigm that combines online bandit learning and offline predictive models to address the unique challenges that arise in machine learning projects for the public and nonprofit sectors.

About the Speaker

Ryan Shi is a doctoral candidate of societal computing in the School of Computer Science at Carnegie Mellon University, and founder of 98Connect, an organization to promote open communication and sustainable collaboration between the technology and nonprofit worlds. He works with nonprofit organizations to address societal challenges in food security, wildlife conservation, and public health using AI. Some of his works have been adopted or slated for field tests. He organized the AI for Social Good Symposia in 2020 and 2021. He is the recipient of a Siebel Scholarship and a Carnegie Mellon Presidential Fellowship.

About the Symposium

The Young Achievers Symposium highlights early career researchers in diverse fields of AI for social impact. The symposium series seeks to focus on emerging research, stimulate discussions, and initiate collaborations that can advance research in artificial intelligence for societal benefit. All events in the series are free and open to the public unless otherwise noted. Penn State students, postdoctoral scholars, and faculty with an interest in socially responsible AI applications are encouraged to attend.

4:00 pm - 5:00 pm
Virtual (Zoom)

Su Lin Blodgett, a postdoctoral researcher in the Fairness, Accountability, Transparency, and Ethics (FATE) group at Microsoft Research Montréal, will deliver a talk as part of CSRAI's Young Achievers Symposium.

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About the Symposium

The Young Achievers Symposium highlights early career researchers in diverse fields of AI for social impact. The symposium series seeks to focus on emerging research, stimulate discussions, and initiate collaborations that can advance research in artificial intelligence for societal benefit. All events in the series are free and open to the public unless otherwise noted. Penn State students, postdoctoral scholars, and faculty with an interest in socially responsible AI applications are encouraged to attend.

4:00 pm - 5:00 pm
Virtual (Zoom)

Umang Bhatt, a doctoral candidate in the Machine Learning Group at the University of Cambridge, will deliver a talk as part of CSRAI's Young Achievers Symposium.

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About the Symposium

The Young Achievers Symposium highlights early career researchers in diverse fields of AI for social impact. The symposium series seeks to focus on emerging research, stimulate discussions, and initiate collaborations that can advance research in artificial intelligence for societal benefit. All events in the series are free and open to the public unless otherwise noted. Penn State students, postdoctoral scholars, and faculty with an interest in socially responsible AI applications are encouraged to attend.

Past Events

4:00 pm - 5:00 pm
Virtual (Zoom)

Sherry Tongshuang Wu, a final year doctoral candidate in computer science and engineering at the University of Washington, will deliver "Interactive AI Model Debugging and Correction" as part of CSRAI's Young Achievers Symposium.

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“Interactive AI Model Debugging and Correction”

Research in artificial intelligence has advanced at an incredible pace, to the point where it is making its way into our everyday lives, explicitly and behind the scenes. However, beneath their impressive progress, many AI models hide deficiencies that amplify social biases or even cause fatal accidents. How do we identify, improve, and cope with imperfect models, while still benefiting from their use? “Interactive AI Model Debugging and Correction” will discuss Wu’s work empowering humans to interact with AI models in order to debug and correct them. She will describe both (1) how she helps experts run scalable and testable analyses on models in development, and (2) how she helps end users collaborate with deployed AI in a transparent and controllable way. In her final remarks, she will discuss her future research perspectives on building human-centered AI through data-centric approaches.

About the Speaker

Sherry Tongshuang Wu is a final year doctoral candidate in computer science and engineering at the University of Washington, where she is advised by Jeffrey Heer and Dan Weld. She received her B.Eng in computer science and engineering from the Hong Kong University of Science and Technology. Her research lies at the intersection of Human-Computer Interaction (HCI) and Natural Language Processing (NLP), and aims to empower humans to debug and correct AI models interactively, both when the model is under active development and after it is deployed for end users. Sherry has authored 19 papers in top-tier NLP, HCI and visualization conferences and journals such as ACL, CHI, TOCHI, and TVCG, including a best paper award (top-1) and an honorable mention (top-3).

About the Symposium

The Young Achievers Symposium highlights early career researchers in diverse fields of AI for social impact. The symposium series seeks to focus on emerging research, stimulate discussions, and initiate collaborations that can advance research in artificial intelligence for societal benefit. All events in the series are free and open to the public unless otherwise noted. Penn State students, postdoctoral scholars, and faculty with an interest in socially responsible AI applications are encouraged to attend.