Using Algorithms for Problem Solving

We've all heard about algorithms and how they affect what we see on social media. Some of you may have experience with crowdsourcing.


Today, we're going to try something different and we would like your help.



We know that everyone has some ideas on how to create positive change. We believe that it's going to take ten percent of the population (The Tipping Point) to achieve our shared vision.


We also believe algorithms and crowdsourcing can be used for problem solving social issues. We should be using every available tool.


This is an invitation to add your voice.


Today, we're asking you to anonymously answer the following question:

What are you going to do with all those ideas?

  1. Allow for idea collection time.

  2. Apply the topic modeling algorithm to the collected text.

  3. Publish a summary of the collected information.

  4. Decide if this process was successful and, if so, repeat it.

Please share this with others and subscribe to our mailing list for organizational and program updates.


Related Articles


"Preventing racial hate crimes means tackling white supremacist ideology"
Rashawn Ray, Tuesday, May 17, 2022, The Brookings Institute

https://www.brookings.edu/blog/how-we-rise/2022/05/17/preventing-racial-hate-crimes-means-tackling-white-supremacist-ideology/

"Opinion White Americans must speak out against white supremacy"
Michele L. Norris, May 16, 2022, The Washington Post

https://www.washingtonpost.com/opinions/2022/05/16/white-americans-speak-against-great-replacement-theory/


"Topic Modeling Case Study, Introduction to Text Analysis: A Coursebook"
Brandon Walsh and Sarah Horowitz

https://walshbr.com/textanalysiscoursebook/book/topic-modeling/topic-modeling-case-study/

Definitions


Crowdsourcing is the practice of obtaining information by enlisting the services of a large number of people.


Topic modeling is a computer algorithm which reads text input and summarizes the top ten topics (or themes) that are found within the text. This model can be used in a variety of ways, such as reducing a large set of documents to a smaller subset containing topics of interest.

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