Crowdsourcing Lesson

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Crowdsourcing Lesson

What is Crowdsourcing?

Crowdsourcing is when many people use the internet to contribute data, ideas, or work to solve a problem.

Key idea: many small contributions → one large solution

Uses distributed individuals (people in different locations)
Relies on widespread access to data and the internet
Allows problem-solving at scale

Citizen Science (Important Concept)

Citizen science is when everyday people help with scientific research by collecting and sharing data.

Uses distributed individuals(people in different locations contributing data)
People use their own devices (phones, computers)
Data is combined to solve real-world problems

Examples:

Tracking animals
Measuring air quality

Examples of Crowdsourcing

Wikipedia → users build knowledge together
reCAPTCHA → users help train AI
Reviews (Yelp, Amazon) → users share opinions
OpenStreetMap → people build maps

Why Crowdsourcing Works

Computing allows collaboration that would otherwise be impossible:

Scale → thousands or millions of contributors
Speed → instant data sharing
Diversity → many perspectives
Efficiency → automated data processing

Risks and Unintended Consequences

Crowdsourcing is powerful, but not perfect:

Data can be incorrect or biased
Some users act in bad faith
Hard to verify information
Privacy concerns

Why Computing is Essential

Crowdsourcing only works because of computing systems:

Collect data from many users
Store large datasets
Process and analyze information
Share results globally

KEY AP CSP VOCABULARY

Term	Definition
Crowdsourcing	Obtaining input or data from a large number of people via the internet
Citizen Science	Scientific research conducted by distributed individuals contributing data
Problem-Solving at Scale	Using many people to solve problems efficiently
Unintended Consequences	Unexpected positive or negative outcomes of a computing innovation

EXAMPLE System

crowd_ratings = []


def add_user_rating(score):
    crowd_ratings.append(score)


def get_average_rating():
    if len(crowd_ratings) == 0:
        return 0
    return sum(crowd_ratings) / len(crowd_ratings)


# simulate multiple users contributing ratings
add_user_rating(5)
add_user_rating(4)
add_user_rating(2)
add_user_rating(5)
add_user_rating(3)


print("Number of contributors:", len(crowd_ratings))
print("Average rating:", get_average_rating())

Explanation (Crowdsourcing Connection)

Input: Many users each submit a rating (crowd contribution)
Processing: The program combines all ratings to calculate an average
Output: The final average is displayed

Key Idea:

This demonstrates crowdsourcing, where many individuals contribute data, and the computer combines it to produce a result. This shows problem-solving at scale.

Computer Science Principles

Crowdsourcing Lesson