Exam 1 Readings Review Flashcards
What is the main goal of Rosling’s presentation?
To show how data can help us better understand the world and challenge common myths.
What myth does Rosling challenge about global wealth?
That countries are simply either rich or poor.
How does Rosling suggest we avoid stereotypes about countries?
By relying on actual data instead of assumptions.
What is unique about Rosling’s method of presenting data?
He uses animated charts and visuals that show changes over time
What message does Rosling give about the future?
Despite challenges, the future can be bright if we invest in healthcare, education, and innovation.
What risk does Rosling mention about using averages in data?
Averages can be misleading and not represent the true variation within populations.
How does storytelling enhance Rosling’s presentation?
It makes statistics more relatable and keeps the audience engaged.
What is data science?
An interdisciplinary field combining computer science, statistics, and domain knowledge to solve real-world problems using data.
What are the three main areas in Drew Conway’s 2010 Venn diagram of data science?
Hacking skills, math/statistics knowledge, and domain expertise.
When did the term “data science” become popular, and where?
Around 2008, especially in tech companies like LinkedIn and Facebook.
Why is domain knowledge important in data science?
It helps interpret data in context and solve problems effectively within specific industries.
How does data science differ from traditional research?
It combines technical skills with real-world application and often requires collaboration across disciplines.
What is computational social science?
A subfield of data science focusing on analyzing social behavior using computational tools.
How is data science applied differently in academia vs. industry?
Academia focuses more on theory and exploration, while industry emphasizes problem-solving, product development, and communication.
What is the main challenge of ethics in data science?
Applying abstract ethical principles to real-life situations.
What do codes of ethics help with?
They provide guidance, but don’t always help with practical decision-making.
Why is defining fairness difficult in data science?
Because fairness is complex and must be applied in real system development
What makes informed consent difficult in big data?
Users often don’t fully understand how their data is used or can’t easily opt out.
What does ethical data management require?
Careful use of sensitive data and planning for unintended consequences.
Why aren’t ethical oaths enough?
What is a better alternative to oaths?
What does a checklist help with?
- They are vague and don’t help with day-to-day decisions.
- Ethical checklists.
- Ensures specific ethical actions are taken during a project.
What should a data ethics checklist include? (Name at least 3)
informed consent, data security, testing for fairness and bias, mechanisms for redress, a stop feature, etc.
What are the 5 C’s Framework?
- guiding principles to build responsible data products:
- Consent
- Clarity
- Consistency
- Control/ Transparency.
- Consequences
What does “Data’s Day of Reckoning” refer to?
A moment when data science must confront its ethical and societal consequences.
