Instructor

Big Data for Cities

Spring 2023



The past decade has seen the rapid proliferation of large-scale digital data sets, from cell phone records to social media posts, from calls for government services to digitized historical records. With their unprecedented volume and detail, these new resources have opened up a window through which we can closely examine the behavioral and social dynamics of everyday life, and nowhere is this truer than in urban areas, which have the greatest density of both people and technology. This has given rise to urban informatics and a renewed opportunity to understand the city, its people, and its neighborhoods, and to develop new policies, programs, and practices that improve urban life. Big Data for Cities takes an experiential, service-learning approach by which students gain the foundational skills of this young field while working with local stakeholders to translate datasets describing Boston into products that might benefit communities. This semester the course will focus on housing access, conditions, and equity across Boston’s neighborhoods.

Syllabus

Teaching Assistant

Big Data for Cities - Fall 2022

Geographic Information Systems - Spring 2020

Philosophy, Identity, and Technology - Spring 2020



Workshop Instructor

Introduction to Python Programming

Tedious Task Automation with Python

Machine Learning Fundamentals



I've designed and taught workshops at a Makerspace to teach community members the basics of programming in python.





Teaching


Instructor


Big Data for Cities

Spring 2023



The past decade has seen the rapid proliferation of large-scale digital data sets, from cell phone records to social media posts, from calls for government services to digitized historical records. With their unprecedented volume and detail, these new resources have opened up a window through which we can closely examine the behavioral and social dynamics of everyday life, and nowhere is this truer than in urban areas, which have the greatest density of both people and technology. This has given rise to urban informatics and a renewed opportunity to understand the city, its people, and its neighborhoods, and to develop new policies, programs, and practices that improve urban life. Big Data for Cities takes an experiential, service-learning approach by which students gain the foundational skills of this young field while working with local stakeholders to translate datasets describing Boston into products that might benefit communities. This semester the course will focus on housing access, conditions, and equity across Boston’s neighborhoods.

Syllabus

Teaching Assistant

Big Data for Cities - Fall 2022

Geographic Information Systems - Spring 2020

Philosophy, Identity, and Technology - Spring 2020



Big Data for Cities

Workshop Instructor

Introduction to Python Programming

Tedious Task Automation with Python

Machine Learning Fundamentals



I've designed and taught workshops at a Makerspace to teach community members the basics of programming in python.



Introduction to Python Programming Tedious Task Automation with Python Machine Learning Fundamentals












Designed by Forrest Hangen