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Stanford Data Science Initiative Spring 2018 Workshop

Event Details:

Wednesday, May 30, 2018

Location

Quadrus Conference Center
Menlo Park, CA
United States

Data Science for the Advancement of Society and Business

Societal values are corporate values

The SDSI Spring 2018 workshop explored data science for the advancement of society and business. Researchers in both industry and academia are working at the forefront of our most challenging problems with a focused interest in how this work can advance society while concurrently achieving business goals. There are many areas where these two goals are not mutually exclusive, and often, it is the application of modern data science tools and techniques that are driving the future of impact-based research. This workshop explored a set of four themes where both academic and industry researchers are working to solve real world problems while also improving and developing new methods.

Agenda

 

8:00 amBreakfast and Registration
9:00 amWelcome and Introductions
9:10 am

Session 1: Developing the workforce of the future

Moderated by Mitchell Stevens, Associate Professor, Education

Advances in technology are changing the way that we learn and work together. This session explored the new data and methods that are being used to find new ways to educate people and how people may be better organized into teams that best utilize a group’s talents and strengths.

Panelists: View Panel Discussion Video

Michael Bernstein, Computer ScienceAssistant Professor
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Alex Kass, Accenture LabsFellow
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Dan Schwartz, EducationDean
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10:30 amBreak
11:00 am

Session 2: Personal sensing and autonomy

Moderated by Carlos Bustamante, Professor of Biomedical Data Science and Genetics Operations

Data from sensors have become a ubiquitous part of life in wearable devices, automobiles, home appliances, and more. Researchers are now able to use this data to address challenges around personal health and wellbeing, and how we interact with our surroundings. This session explored how researchers are using these data streams to better understand personal and community dynamics.

Panelists:

View Panel Discussion Video

Euan Ashley, MedicineProfessor & Co-Director SDSI

Chetan Gupta, HitachiChief Data Scientist and Head of Industrial AI Lab
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Jure Leskovec, Computer Science Associate Professor & Co-Director SDSI
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Marco Pavone, Aeronautics & AstronauticsAssistant Professor
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12:20 pmLunch
1:35 pmWelcome Back
1:40 pm

Session 3: Data science for development

Moderated by Kevin Koy, Managing Director for Data Science and AI Affiliates Programs

The availability of new and higher frequency data streams (high resolution satellite images, cell phone records, etc.), along with the advent of improved deep learning methods, are allowing researchers to discover important trends in parts of the developing world that are difficult to access. This session explored how researchers are improving our ability to understand and help people in areas that are underserved.

Panelists:

View Panel Discussion Video

Gretchen Daily, BiologyProfessor
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Pascaline Dupas, EconomicsAssociate Professor
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Stefano Ermon, Computer ScienceAssistant Professor
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3:00 pmBreak
3:30 pm

Session 4: AI safety

Moderated by Steve Eglash, Executive Director, Strategic Research Initiatives, Computer Science

As machine learning models are increasingly being used to make important and complex decisions, there is a greater need to understand and verify that the models are doing what they are intended to do. This session explored how new techniques are being developed to verify models and further the safe use of AI in society.

Panelists: View Panel Discussion Video

Justin Cruz, American Family InsuranceStrategic Data & Analytics Vice President
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Mykel Kochenderfer, Aeronautics & AstronauticsAssistant Professor
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Dorsa Sadigh, Computer ScienceAssistant Professor
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4:50 pmPoster preview presentations
5:05 pmClosing comments
5:10 pmPoster viewing and cocktail reception

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