The hottest Data Collection Substack posts right now

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Pre-emptive warnings to take care

Joshua Gans' Newsletter • 0 implied HN points • 02 Nov 20
🏥 Health & Wellness COVID-19 Prevention Innovation Data Collection Testing
  1. NOVID app offers a different approach to COVID-19 exposure tracking by focusing on self-protection rather than just protecting others.
  2. The app allows users to prepare for potential exposure by managing their contact budget and taking preventive measures.
  3. NOVID can serve as a valuable early warning system for communities like schools or workplaces to take extra precautions and drive further information through rapid testing.

We can do better on pre-risk assessment

Joshua Gans' Newsletter • 0 implied HN points • 23 Oct 20
🏥 Health & Wellness COVID-19 Information Management Risk Assessment Data Collection
  1. Pre-risk assessment is crucial for better allocation of Covid-19 tests. Higher pre-risk means test results carry more weight.
  2. CDC's protocol for point-of-care tests at nursing homes considers pre-risk, but lacks specific numerical data. More granular information would enhance testing protocols.
  3. Contact tracing apps could be leveraged to assess pre-risk levels, aiding in more accurate test allocation without compromising privacy.

Data Week: How to collect data

Joshua Gans' Newsletter • 0 implied HN points • 16 Oct 20
🔬 Science Data Collection Analysis Innovation Public Health Statistics
  1. Data collected at a manhole level can help detect outbreaks more rapidly and support targeted interventions.
  2. Sophisticated statistical techniques can provide a deeper understanding of outbreaks by leveraging sewage system data.
  3. Bayesian framework can convert sewage flows into probability flows to identify hot spot neighborhoods with just a few samples.

The Trade-Off Every AI Company Will Make

Joshua Gans' Newsletter • 0 implied HN points • 28 Mar 17
🕹 Technology AI Machine Learning Autonomous Vehicles Data Collection Product Development
  1. Training for AI, like pilots or cashiers, is essential for machines to learn and improve in performance.
  2. Determining what is "good enough" for machine intelligence involves considering the trade-offs in terms of error tolerance and level of in-house vs on-the-job learning.
  3. The decision of when to deploy AI systems into the real world for learning involves balancing the need for data with the potential risks to brand and customer safety.

Is your organisation based on PowerPoint or Excel?

Joshua Gans' Newsletter • 0 implied HN points • 02 Mar 15
🔬 Science Space Exploration Organizational Structure Decision-making Data Collection Collaboration
  1. Organizational structures based on PowerPoint and Excel can lead to different outcomes in data collection and decision-making processes.
  2. Team PowerPoint emphasizes collective decision-making and qualitative trade-offs, leading to comprehensive analyses of common phenomena.
  3. Team Excel focuses on specialized knowledge with separate teams managing instruments, resulting in very complete and specialized data collection but less collaboration.
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Dataplane.org 2022 Year In Review

Dataplane.org Newsletter • 0 implied HN points • 04 Apr 23
🕹 Technology Data Analysis Network Security Internet Trends Cybersecurity Data Collection
  1. Dataplane.org reflected on 2022 to analyze what went well, improved the website, moved social presence to Mastodon, and boosted backend infrastructure.
  2. Insights from DNS queries revealed top unsolicited queries like www.google.com and common passwords like '123456'.
  3. Dataplane.org is preparing a public archive, planning for tax season, and welcoming donations for continuous availability of Signals data.

Cyber Physical Symptoms

Cybernetic Forests • 0 implied HN points • 04 Nov 21
🕹 Technology AI Digital Design Data Collection
  1. Symptoms in technological systems indicate underlying issues that need attention.
  2. Approaching problems in AI and cyber-physical systems as 'cyber-physical symptoms' can help identify imbalances between digital and social elements.
  3. Considering the concept of 'Hormesis,' where appropriate amounts of digital and analog elements are integrated, can lead to stronger system designs.