The Challenge has 6 different Topical Categories to help build connections across the community and support concrete outputs and outcomes, all under the "umbrella" of Vision Zero and reducing traffic fatalities:
BIKE / PEDESTRIAN SAFETY: How might we improve bike/pedestrian safety in our communities?
DISTRACTED DRIVING: How might we determine if there is a distracted driving problem? How might we mitigate the issue?
WEATHER / EMERGENCY RESPONSE: How might we improve transportation safety in extreme weather? In cases of crises?
AUTONOMOUS OR CONNECTED VEHICLES: How might we leverage autonomous or enhanced vehicles to improve our constituents’ safety? How might we navigate technological, policy, and social considerations involved?
MULTIPLE DATA STREAMS: How might we utilize multiple data streams (particularly from different sectors, sources) to capture actionable insights to make a local transportation corridor more safe? Are there lessons and best practices that can be shared more broadly?
CURRICULUM DEVELOPMENT: How might we develop a ready-to-go high school or undergraduate curriculum introducing transportation safety data to build awareness and spark new contributions/solutions?
Each Category has a Category Chair -- a leader from industry, academia, nonprofits, or government, who is hosting monthly community calls to help teams scope their projects and highlight progress, to facilitate constructive feedback, and to provide a forum for discussion and collaboration:
Data Science Researcher and Data Science for Social Good Fellow, University of Chicago Center for Data Science and Public Policy
Category Chair for Education + Curriculum
Jane is an innovator in designing data science curriculum currently working with the world-leading “Data Science for Social Good” curriculum founded by Rayid Ghani, and now fully funded as an institute at both U. Chicago and U. Washington. She’ll be translating educational opportunities from the work of Data Challenge donors, mentors and participants into an implementable, actionable curriculum tool with a focus on national and regional government data sets and demonstrable life-saving impacts. Once complete and approved, the curriculum will be hosted using donated resources, including the DataScience Platform for interactive computing and Amazon Web Services for data set hosting. The Data Science for Social Good Fellowship is a program to train aspiring data scientists to work on data mining, machine learning, big data, and data science projects with social impact.
AAAS Science and Technology Policy Fellow at THE U.S. Department of Homeland Security; Mathematics Department Chair, University of West VIRGINIA
Category Chair for Distracted Driving
Edgar (“Eddie”) Fuller is an experienced big data researcher, professor, and practitioner, currently a AAAS fellow for the US Department of Homeland Security. He is focusing on the application of the provided data science resources and participant skillsets, as well as research institution partners, to the probing of distracted driving from the perspectives of data aggregation, predictive modeling, and behavioral intervention. He’ll also be supervising teams on hypothesis testing and providing feedback on data sharing and making life-saving applications relevant at the national level.
Developer Relations, Google
Category Chair for Weather + Emergency Response
Amy Unruh is a developer programs engineer for the Google Cloud Platform, with a focus on machine learning and data analytics as well as other Cloud Platform technologies. Amy has an academic background in CS/AI and has also worked at several startups, done industrial R&D, and published a book on App Engine. Amy’s focus during the challenge will be on leveraging the latest utility in open source and donated computing resources (including DataScience Platform, TensorFlow, Big Query, Satori, and other big data tools) to address hypotheses leading towards life saving interventions from the vast streaming and archival data, such as Waze and weather, available for municipalities.
Chief Technology Officer, Satori (mz.com)
Category Chair for Bike and Pedestrian Safety
Robert Hoffer is a serial entrepreneur and inventor of several products in the computer and internet industry. As founder of Query Labs he developed one of the first Web based Yellow and White Page directory services products, which launched at Yahoo as phone.yahoo.com. Robert co-founded ActiveBuddy which launched SmarterChild - the first commercial instant messaging bot. Robert has several patents in the field of instant messaging. He currently not only advises companies in their technology strategies but continues to develop and innovate in the tech space. His focus will be on the application of streaming data aggregation uniquely relevant to private/public transportation data sets towards implementable life-saving interventions.
Innovation Director, Nevada Center for Advanced Mobility and Industry Commercialization, Connected Vehicles Manager from the Nevada Governor's Office of Economic Development
Category Chair for Autonomous or Connected Vehicles
As a life science consultant Dan has worked on a numerous projects including advising a pension fund on the supply of investment and other influences on public sector R&D commercialization, strategic options to accelerate adoption of Biotechnology in an agricultural industry, identification of bioprospecting opportunities and global nutraceutical and cosmeceutical opportunities for a South American nation. Prior to his role as innovation director, he ran technology commercialization for the University of Nevada. Dan will be focused on fostering public/private data sharing for regional transportation partnerships as well as sharing and evaluating connected vehicle data.
Global Transportation Industry Manager, ESRI
Category Chair for Multiple Data Streams / Data Aggregation
Terry will manage work, along with data scientist colleagues at ESRI, on aggregating big data with geographic components into actionable life-saving tools. In addition to providing access to ESRI infrastructure (both within and separate from nsf.datascience.com), Terry and team will be providing guidance on utilizing data and generating research products that will lead to meaningful solutions, using examples including the Los Angeles GeoHub (geohub.lacity.org) and the ArcGis open community. Bills will also assist in guidance for developing publicly accessible and government accessible regulation-approved data science tools from Challenge outputs.