PRISM: Capturing the Invisible Art of Scientific Practice

Meet Rosalind Workbench: Empowering every scientist to be their own research team | OpenAI Developers

How guided tasks, scientific viewers, and sequencing analysis help researchers follow a question from data to evidence.

How and When to Involve Crowds in Scientific Research | James Evans

The lone academic in a basement lab is an endangered species. Years ago I asked Paul Ginsparg, who founded arXiv, what features his machine-learning filter used to flag speculative submissions. The top three: single-authored, submitted on a weekend, and heavy citation of Newton and Einstein. Science is a contact sport now. Marion Poetz and Henry Sauermann's How and When to Involve Crowds in Scientific Research (https://lnkd.in/g5pwVbfD) is the field manual. What crowds can do: Volume. Zooniverse mobilizes 2.7 million people to classify galaxies and court records. Galaxy Zoo's co-founder hand-classified 50,000 galaxies in one week before concluding that isolation would break him. Reach. NASA spent years failing to predict solar flares, then broadcast the problem. The winner was a semi-retired radio engineer in rural New Hampshire who swapped satellite data for radio data. Experience. Patients and caregivers asked to generate research questions produced 826 that scientists had missed, including the link between aging and wound healing. Bench-to-bedside runs backward. One caution the book underplays: an open call is not an inclusive one. Participation costs in time, money, and access screen people out. Self-selection can narrow the very diversity that makes crowds thrive. As AI floods the labor supply of routine, homogeneous cognition, human crowds become more valuable, not less. Machines process. People notice what nobody thought to ask. Check out my review @ https://lnkd.in/gkzvWrRC and the book @ https://lnkd.in/g5pwVbfD!

Improving scientific mentorship with "Open Labs" — science better

Open Labs would be a place for experienced scientists to post their open questions and curiosities — a list of the ideas they don't have time to pursue personally but wish someone would.

LabFolio

The most complete and granular data collection of scientist activities and the platform to share and collaborate with other scientists.

Ink & Switch

An independent research lab exploring the future of tools for thought.

A Research Lab for Open Source ✸ Software Stewardship Lab

Today, we're launching a world-class research lab dedicated to Open Source sustainability with a team of some of the most experienced people in the world.

Scientific sleuths come in from the cold

Research integrity investigators are starting to organize, but the field, and the people, remain idiosyncratic

Becoming a stranger in my own field

There is a difference between making scientific work more accessible and changing what institutions recognize as valuable scientific work.

Open science meets orange skies: K-12 educators’ engagement with computational notebooks to explore scientific events with human impacts

Computational notebooks are becoming a popular method to introduce mathematics, data, and scientific computing concepts to secondary students. Advocates argue computational notebooks encourage transparency and reproducibility in student work and can enable more personalized investigations of publicly available civic and scientific datasets. However, little is known about how teachers navigate these complex artifacts, let alone how they might support their students in doing so. In this paper, we investigate six pre-service and two in-service K-12 teachers’ sensemaking during a structured clinical think-aloud interview as they engaged with a computational notebook that examines disruptions in local air quality. The notebook presented a common event (annual fireworks) and an extreme event that impacted human health, during which the skies above the greater metropolitan San Francisco Bay region in California, USA turned orange due to wildfire pollution (“Orange Skies Day”, Sept 9, 2020). We examine the ideas that participants engaged as they interacted with the notebooks, and identify three ways in which they interacted with code in the notebook: to make sense of the scientific phenomenon (all participants), to make sense of the available data (6 out of 8 participants), and/or integrate these two dimensions (4 out of 8 participants). We present examples of each of these three forms of sensemaking, highlight their similarities and distinguishing features, and discuss implications for teacher education.

Dispatch

An occasional update on the lab’s latest findings, appearances, and happenings.

Arduino Science Journal

Transform your mobile device into a science tool! Use sensors to record data, document your observations, and experiment like a real scientist.