Algorithmic Social Intervention
Social and behavioral interventions are a critical tool for governments and communities to tackle deep-rooted societal challenges such as homelessness, disease, and poverty. However, real-world interventions are almost always plagued by limited resources and limited data, which creates a computational challenge: how can we use algorithmic techniques to enhance the targeting and delivery of social and behavioral interventions? This talk focuses on problems in combinatorial optimization and machine learning which underlie this question. I will discuss robust optimization, information gathering, and decision-focused learning as tools for decision making under uncertainty. Together, these techniques allow us to make decisions with limited data, strategically gather additional data when needed, and use this data to improve decisions by integrating combinatorial optimization problems into the training of machine learning models. I will illustrate these topics through a public health application, optimizing awareness campaigns for HIV prevention among homeless youth. Alongside social work collaborators, I have partnered with community organizations in Los Angeles to deploy algorithms for this problem, substantially increasing the intervention’s impact compared to traditional approaches.
View presentation slides here: https://www.microsoft.com/en-us/research/uploads/prod/2018/11/Algorithmic-Social-Intervention-SLIDES.pdf
Speaker Details
Bryan Wilder is a PhD student in computer science at the University of Southern California, where he is advised by Milind Tambe. His research focuses on combinatorial optimization and machine learning, driven by applications to social issues such as public health. He is supported by a NSF Graduate Research Fellowship, and his work has been recognized with best paper and best student paper nominations at AAMAS..
- Series:
- Microsoft Research Talks
- Date:
- Speakers:
- Bryan Wilder
- Affiliation:
- University of Southern California
-
-
Ece Kamar
VP and Lab Director of AI Frontiers
-
-
Series: Microsoft Research Talks
-
-
-
-
Galea: The Bridge Between Mixed Reality and Neurotechnology
Speakers:- Eva Esteban,
- Conor Russomanno
-
Current and Future Application of BCIs
Speakers:- Christoph Guger
-
Challenges in Evolving a Successful Database Product (SQL Server) to a Cloud Service (SQL Azure)
Speakers:- Hanuma Kodavalla,
- Phil Bernstein
-
Improving text prediction accuracy using neurophysiology
Speakers:- Sophia Mehdizadeh
-
-
DIABLo: a Deep Individual-Agnostic Binaural Localizer
Speakers:- Shoken Kaneko
-
-
Recent Efforts Towards Efficient And Scalable Neural Waveform Coding
Speakers:- Kai Zhen
-
-
Audio-based Toxic Language Detection
Speakers:- Midia Yousefi
-
-
From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks
Speakers:- Sujeeth Bharadwaj
-
Hope Speech and Help Speech: Surfacing Positivity Amidst Hate
Speakers:- Monojit Choudhury
-
-
-
-
-
'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project
Speakers:- Peter Clark
-
Checkpointing the Un-checkpointable: the Split-Process Approach for MPI and Formal Verification
Speakers:- Gene Cooperman
-
Learning Structured Models for Safe Robot Control
Speakers:- Ashish Kapoor
-
-