|||

DAWN: I’m always curious about how data scientists measure the consistency or sensitivity of results from datasets

DAWN: I’m always curious about how data scientists measure the consistency or sensitivity of results from datasets. You have a notion of confidence intervals that communicates in a shorthand way “this is the size of grain of salt you have to take.” Ethnography doesn’t look at the world probabilistically, so we can never say, “9 of 10 times this will be the case.” But there are patterns, and those patterns can be relied upon for some purposes but not others. Even though we have messy complicated debates about how culture “scales” (which isn’t the same thing as reliability of results, but it’s related), we still don’t have clear ways to communicate to clients “this is the size of the grain of salt you need to take.” — https://www.epicpeople.org/data-science-and-ethnography/
Up Next Next → TYE: We touched on data provenance earlier, but I want to come back to it from the perspective of quantitative data https://www.epicpeople.org/data-science-and-ethnography/ ← Previous https://www. epicpeople.org/data-science-and-ethnography/
Latest posts
▵  Elon Musk attempts to explain Twitter to normal people in court
▵  TED and YouTube launch global climate initiative
▵  Embracing multilingualism to enhance complexity sensitive research
▵  The ‘Amazon effect’ is flooding a struggling recycling system with cardboard
▵  John Kerry, Arnold Schwarzenegger wage ‘World War Zero’ on climate change
▵  Combining semantic and term frequency similarities for text clustering
▵  Bad RCS implementations are creating big vulnerabilities, security researchers claim
▵  2019 Tech Trends Report — The Future Today Institute
▵  Medical Crowdsourcing: Harnessing the “Wisdom of the Crowd” to Solve Medical Mysteries
▵  Report Launch - OPSI Primer on AI for the Public Sector
▵  “Level Up”: Leveraging Skill and Engagement to Maximize Player Gameplay
▵  Beautiful is Good and Good is Reputable: Multiple-Attribute Charity Website Evaluation and Initial Perceptions of Reputation Under the Halo Effect
▵  Piret Tõnurist & Systems Change: how to get started and keep going?
▵  IBM expert Tamreem El Tohamy on bridging the skills gap in Africa
▵  The changing work of innovation for public value and social impact
▵  Former Go champion beaten by DeepMind retires after declaring AI invincible
▵  What part of “viral” content makes platforms want to encourage its spread?
▵  MTA floods NYC subway entrance because ‘climate change is real’
▵  The Demon Haunted World
▵  How to recognize AI snake oil
▵  A Systemic View of Research Impact
▵  Nobel Economics Prize Goes to Pioneers in Reducing Poverty
A brief, informal guide to doing grounded theory
▵  Adam Savage on Lists, More Lists, and the Power of Checkboxes
▵  Systems Practice, Abridged
▵  Fukushima reinvents itself with a $2.7 billion bet on renewables
▵  How Tesla’s first Gigafactory is changing Reno, Nevada
▵  “This is Sticking with Them:” Professor Explores Benefits of Model-Based Learning
Keeping the buzz in buzzwords
▵  README.txt: Introducing Into the Dataverse, the article series
▵  A ton of people received text messages overnight that were originally sent on Valentine’s Day