Crowdsourcing is a method of obtaining information, ideas, services, or content by soliciting contributions from a large group of people, particularly from an online community, rather than from traditional employees or suppliers. This approach leverages the collective intelligence and skills of a vast, diverse crowd to solve problems, generate ideas, and complete tasks. dang, why is this not working…..

Definition: Crowdsourcing combines the words “crowd” and “outsourcing.” It was first coined by Jeff Howe in a 2006 Wired magazine article. The concept is based on the idea that a large group of people can collectively contribute more diverse and substantial input than an individual or small team.

Popcorn Hack #1

What is a public dataset?

A public dataset is a collection of data that is made available to the general public for access, use, and analysis.

Examples of Data sets

Kaggle

• Courses in visualization, tensorflow ai , and machine learning
• Competitons - cash prizes, props
• Notebooks- code, data, etc

Google public datasets

• Free for the 1st terabyte

Data.gov

• Uses government data to analyze markets, etc
• Agriculture, energy, water, health

Widespread access to information and public data facilitates the identification of problems, development of solutions, and dissemination of results.

Popcorn Hack #2

What is distributed computing?

Distributed computing refers to a model in which multiple computers or processors work together to solve a problem, perform a task, or process data.

Distributed computing

• Donate spare computing power to help other apps function

Example:

Boinc - University of California Berkley

• Mathematics
• Astrophysics
• Climate
• Minecraft
  • If you’ve ever played minecraft you should know what a map seed is. The algorithm in minecraft uses the seed to develop the world that people play on. This is another example of distributed computing.

These projects uses excess computing power in order to run these operations and projects. It is where individuals or organizations obtain ideas, services, or content by using contributions from a large group of individuals typically from an online community.

Innovations made possible with Crowdsourcing

Spotify

• Colaborative playlists
• Algorithm
  • Trains its algorithm by collecting and analyzing what other people are listening to.
• Metadata

Crowdfunding

• Kickstarter
  • An app where you can pitch your idea for other people to invest in your idea
• IndeGoGo

Blockchain

• Cryptocurrency
  • Uses much computing power from external people in order to process transactions. This is called “mining”.
• Concert Tickets

Google Maps

• Uses information from other sources (traffic data)

Spotify

• Uses information public (mostyl played artist)

Nighthawk-Pages: Content Review Ticket

Article Title: Team Teach by Saathvik Gampa, Akshay Nagesh, Ishan Cornick, and Nitin Balaji
Published Date: December 5, 2023
Reading Time: 2 minutes

Overview:

The article delves into the concept of Crowdsourcing, a technique where a diverse community contributes ideas, information, or content rather than traditional sources. It emphasizes the collaborative nature of this approach in problem-solving and idea generation.

Key Takeaways:

• Definition of Crowdsourcing: It combines “crowd” and “outsourcing,” aiming to gather varied inputs from a collective for richer contributions.
• Public Datasets: Examples like Kaggle, Google public datasets, and Data.gov are highlighted, emphasizing their role in enabling access to data for problem-solving.
• Distributed Computing: Explains how multiple computers collaborate to solve tasks or process data.
• Crowdsourcing in Innovation: Highlights applications like Spotify, Kickstarter, and Google Maps utilizing crowdsourced data.

Insights:

• Popcorn Hack #1: Focuses on the significance and accessibility of public datasets.
• Popcorn Hack #2: Explains distributed computing with examples such as BOINC and Minecraft.

Applications and Examples:

• Spotify: Uses crowdsourced listening data to improve playlist curation and algorithm training.
• Crowdfunding Platforms: Examples like Kickstarter and IndeGoGo demonstrate how crowd support aids in idea funding.
• Blockchain & Cryptocurrency: Illustrates the use of computing power in cryptocurrency transactions.
• Google Maps: How external data sources enhance functionalities like traffic information.

I learned a lot/gained valuable insight from this lesson. Good job.

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