CALL & REGISTRATION.

CALL FOR CONTRIBUTIONS.

The future of intelligent cars has just begun – help shape it during this exciting summer school.

This year, the summer school will particularly focus on emerging trends in artificial intelligence and the challenges and opportunities in applying it to urban mobility and urban living overall. We are soliciting original poster contributions on human centric interaction design, autonomous systems, next generation mobility and communications, urbanization and smart city solutions, emotion awareness and affective computing, machine learning for demand prediction and personalized recommender systems, data analytics for smart city traffic management, psychology of passengers, privacy, and consciousness, human mind and ethics of artificial intelligence, new business models and economic benefits driven by advances in artificial intelligence, societal challenges of automation and algorithmic control.

We are inviting international PhD students and young researchers with a keen interest in shaping the future of urban living and individual mobility to submit their poster. The BMW Summer School is encouraging multi-disciplinary discussion and hence is calling for contributions from all fields – from computer science to electrical engineering, from economics to legal, from architecture to sociology, from psychology to philosophy.

Selected Topics.

This year, the summer school will particularly focus on emerging trends in artificial intelligence and the challenges and opportunities in applying it to urban mobility and urban living overall. We are soliciting original poster contributions on human centric interaction design, autonomous systems, next generation mobility and communications, urbanization and smart city solutions, emotion awareness and affective computing, machine learning for demand prediction and personalized recommender systems, data analytics for smart city traffic management, psychology of passengers, privacy, and consciousness, human mind and ethics of artificial intelligence, new business models and economic benefits driven by advances in artificial intelligence, societal challenges of automation and algorithmic control.

We are inviting international PhD students and young researchers with a keen interest in shaping the future of urban living and individual mobility to submit their poster. The BMW Summer School is encouraging multi-disciplinary discussion and hence is calling for contributions from all fields – from computer science to electrical engineering, from economics to legal, from architecture to sociology, from psychology to philosophy.

Submit your poster.

We are seeking multi-disciplinary interaction, hence are encouraging contributions from a broad number of fields such as software developers, engineers, psychologists, IoT evangelists, urban sociology and culture, urban development, business management / service management, multi-modal mobility, digital transformation experts, AI experts, and futurologists.

Contributions will be as single poster to be presented during the summer school. Submission are required to be full poster submissions. The poster, a 1-page description of your research activities, a letter of motivation, together with a short CV (including list of publications and/or academic achievements) is to be submitted to: Easychair DRIVEME2019.

BMW Group, EURECOM and TUM solicit original, high quality and highly innovative posters (not full papers) from PhD candidates in the following categories:

Trends in Artificial Intelligence

Urbanization and Future Urban Living

Smart City and Smart Urban Traffic Solutions

Connected Urban Living

Economic Benefits of AI

Societal Challenges and Opportunities of AI

Human Centric Interaction Design

Autonomous Systems

Psychology of passengers (in autonomous vehicles)

Machine Learning for Demand Prediction

Data Analytics for Smart City Traffic Management

Challenges and opportunities of automation and algorithmic control

New Business Models and Customer Ecosystems

Consciousness, Human Mind and Ethics of Artificial Intelligence