Data use risks & benefits
Recognize that data can pose risks but also benefits for individuals and groups, and understand its potential uses, limitations, and risks, including unintended consequences.
K–2 Competencies
Recognize how data can be useful in understanding the world around us. e.g., counting rainy days to plan outdoor activities
Understand that some data about people should not be collected or shared with technology.
Classroom resources
Data Science Starter Kit - Module 1: Data Dispositions and Responsibilities
Welcome to the foundation of data science education! This module focuses on developing the right mindset for working with data—both for you and your students.🔗
Data Dispositions and Responsibilities isn’t about memorizing definitions or learning technical skills. It’s about cultivating curiosity, healthy skepticism, and ethical thinking. These are the habits of mind that make everything else in data science meaningful and responsible.
3–5 Competencies
Identify how data collection can create risks (e.g., medical information, location, privacy, exclusion) for individuals or groups, and describe ways to protect personal information.
Evaluate how datasets can benefit society (e.g., solving problems, improving designs) while considering potential risks to individuals.
Classroom resources
Data Science Starter Kit - Module 1: Data Dispositions and Responsibilities
Welcome to the foundation of data science education! This module focuses on developing the right mindset for working with data—both for you and your students.🔗
Data Dispositions and Responsibilities isn’t about memorizing definitions or learning technical skills. It’s about cultivating curiosity, healthy skepticism, and ethical thinking. These are the habits of mind that make everything else in data science meaningful and responsible.
6–8 Competencies
Describe how social groups can be inadequately represented by existing data and data schemes. e.g., city planners using traffic data collected from weekday commuters overlook nighttime workers' needs, such as poor bus schedules for nurses on night shifts
Acknowledge that options and choices are available for data collected about individuals, and recognize that what is gathered or excluded can have consequences. e.g., a survey claiming "most teens love math" is biased if only the math club members completed the survey
Classroom resources
Data Science Starter Kit - Module 1: Data Dispositions and Responsibilities
Welcome to the foundation of data science education! This module focuses on developing the right mindset for working with data—both for you and your students.🔗
Data Dispositions and Responsibilities isn’t about memorizing definitions or learning technical skills. It’s about cultivating curiosity, healthy skepticism, and ethical thinking. These are the habits of mind that make everything else in data science meaningful and responsible.
9–10 Competencies
Analyze how data use can perpetuate biases or systemic inequities (e.g., predictive policing, hiring algorithms).
Evaluate context-specific risks and benefits of data interpretations (e.g., health tracking for improving care vs. privacy concerns).
Classroom resources
Data Science Starter Kit - Module 1: Data Dispositions and Responsibilities
Welcome to the foundation of data science education! This module focuses on developing the right mindset for working with data—both for you and your students.🔗
Data Dispositions and Responsibilities isn’t about memorizing definitions or learning technical skills. It’s about cultivating curiosity, healthy skepticism, and ethical thinking. These are the habits of mind that make everything else in data science meaningful and responsible.
11–12 Competencies
Recognize that data risk can change based on time, circumstance, and purpose.
Identify data benefits that can appear well into the future and in unexpected ways.
Classroom resources
Data Science Starter Kit - Module 1: Data Dispositions and Responsibilities
Welcome to the foundation of data science education! This module focuses on developing the right mindset for working with data—both for you and your students.🔗
Data Dispositions and Responsibilities isn’t about memorizing definitions or learning technical skills. It’s about cultivating curiosity, healthy skepticism, and ethical thinking. These are the habits of mind that make everything else in data science meaningful and responsible.
Advanced Competencies
Classroom resources
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