Big Data for Cleveland

ESE 697: Big Data and Emerging Cities

Presented by Alex Pawlowski

interact at slides.com/alexpawlowski/sci-bigdata

Big data

• sufficiently large collection of information to require different tools to handle its complexity in order to reveal new patterns or behaviors of interest

Structured vs. unstructured

structured

• focus on surveying
• been collecting since 1790

unstructured

• focus on software tools 
• phone data → traffic congestion

data on its own has little value, each kind needs definition 

Goals

• understand Cleveland's data needs
• assess data Cleveland has
• develop tools and methods that Cleveland staff can use
• develop data methods other emerging cities can use

plan

• review of how big data is used in small cities
• assess and communicate community sentiment with social media
• scenario-based data driven understanding of future growth enhancing mobility