THE PROGRAM IS SPLIT INTO FIVE MODULES
- A series of four three-day instructional modules will provide training in the core curriculum.
- Modules run three full days. The typical format will include three hours for lecture in the morning, a break for lunch and then afternoon working sessions. Dinner programs are planned for evenings.
- Following the fourth instructional module, participants will further refine and complete their team analytics projects that address a need identified by a partner agency. The program will group participants into cross-disciplinary teams to complete the analytics project.
- At the end of the project period, participants will virtually attend a fifth session to present their results.
WHAT PARTICIPANTS WILL LEARN
Participants will learn how to develop a new approach to analyzing existing problems, and how to identify new research approaches with new types of data. They will acquire a working knowledge of key areas of data science, and acquire the skills to get more information if they need it.
HOW WORK WILL BE DONE
Participants will have access to administrative data for their analytical work. For each project, selected agencies have provided key datasets of interest. Since the data are confidential, participants will work in a state-of-the-art data facility that provides data governance and legal frameworks to support data access and use datahub.cusp.nyu.edu. Participants will work collaboratively using jupyter.org Jupyter Notebooks so that they can create and share documents that contain live code, equations, visualizations and explanatory text.
USING DATA TO SOLVE CIVIC PROBLEMS
Although all sessions will follow the same core curriculum, each course offering will focus on a different civic problem. Each course will focus on harnessing big data in the context of using evidence to address specific policy challenges.