5.4 Crowdsourcing
Team Teach by Saathvik Gampa, Akshay Nagesh, Ishan Cornick, and Nitin Balaji
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.
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?
- people like google where you can check for data on their browser like the stock market
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?
- making multiple computers work together to solve a problem
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
Crowdsourcing in real life
- Soundcloud
- Twitch: streamers from all over the world and can chat with them
- Youtube
- Uber
- Google Maps: uses trafic data to determine the time to your destination
I learned about crowd sourcing and how it’s used as multiple people and multiple outlets grab data at a faster and non biased rate than a small team or individual. I also learned about example of where this is previlent like Twitch and how they have streamers and content from them instead of Twitch making the content themselves. They then pay those streamers to produce and stay on their platform where they make money off of them, sponserships, and ads.