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VIS Fall 2021 11/12 PBL Project, Student Interests and Skills - Coggle…
VIS Fall 2021 11/12 PBL Project
Driving Questions (Data)
What is the effect of data on our daily lives?
How can data be a tool for change?
What are the implications of data collection?
How can data solve issues in your community?
How does data influence the community around us?
What motivates companies to buy and sell data?
issues with sourcing/collection
To what extent can data be owned?
How can data be manipulated to tell different stories?
Qualitiative and quantitive data are used in what ways?
How does data clash or blend with culture or habits?
To what extent can data be racist or sexist?
medicine
AI Ethics
African American incarcerated
How does data bias affect things?
How do we want AI to develop given our data?
Teacher Interests/Skills
Finance Experience
Digital Marketing
(understanding how to use FB A/B Test functionality)
Business Plans
Brand Management
SEO
Entrepreneurship
Social/
Economic
/Political History
Philosophy/Morals
Civics/Government (US Constitutional History)
Intersection of Laws + Economy with respect to Data Privacy
Copywriting/
Proposals
Narrative Writing
Debate Coaching
Math-based approaches
Stats using real examples (climate change)
Carpentry Supervision?
Data Mining/
Machine Learning
/AI
No-code tools
(Thunkable, flutterflow, MIT App inventor)
Web extensions
Hardware prototyping (Arduino, Raspberry)
3D modelling/printing
Web Design
Potential Deliverables
Mobile Application
YouTube Channel
Podcast
Blogging
2 Media agencies: one fake, one real
The art/science of "going viral"
Create intentionally misleading presentations of data
which infomraiton spread faster around the school?
physical displays of data
human language all make the same "shape",
visualizations of data
"the data says this" have them do that particular process
reasoning through data in a generic way
spotting fake data/advice/news
proposal/hackathon
Deliverable Types<<
Many smaller projects
One large project
Many smaller projects that link together
Weekly Deliverables
"Liars Club", one group makes fake data, one makes real, class has to decide who is real and not
One data set, two groups have to convince a panel of judges one way or another who can control the narrative
Radar Graphs (H&H)
Daily Deliverables
Daily data collection
Radar Graphs (H&H)
Potential Community Partners / Guest Speakers
Partners
Google/School for the Blind (From Patrick)
Jordan: Kiipo/PhysioQ --> AI/Machine Learning
Snowball for Good (Ant-CCP organization)
https://www.snowballforgood.com/
Organization Chris did the mask project with
bitmark (using blockchain to allow people to own their data)
https://bitmark.com/
Speakers
Growth Hackers --> Data collection and marketing
Audrey Tang (Digital Democrarcy)
Adam Kraft (Amazon; AI/ML)
Jonathan Basseri (Android)
Omlet Arcade --> Data collection and marketing
Student Interests and Skills
Team 1
Team 2
Team 3
Team 4
Team 5
Team 6