Rachel "Datapunk" Kalmar is a brilliant data scientist with a background in neuroscience, connected devices, sensors, and wearables.
In a must-listen interview (MP3) with the O'Reilly Hardware podcast, Kalmar describes the (usually invalid) assumptions implicit in the fitness tracking sensors and the conclusions they generate. Kalmar describes full-stack problems with the sensors, APIs, interoperability, transparency, and analysis these yield.
In this new episode of the Hardware Podcast, David Cranor and I talk with data scientist Rachel Kalmar, formerly with Misfit Wearables and the founder and organizer of the Sensored Meetup in San Francisco. She shares insights from her work at the intersection of data, hardware, and health care.
The need for a “data ecosystem” approach: it’s important to understand the entire stack from acquisition through storage and analysis, and where security and privacy become concerns.
* Analysis and insight as the real value in data: consumers get very little from raw data.
* Authentication for smart devices—and an experiment (let us know if your lights went out during this podcast by e-mailing firstname.lastname@example.org).
Rachel Kalmar on data ecosystems
Deflazacort, a steroid, can be purchased online from non-US sources for $1.00, but now it’s being marketed by Illinois’s Marathon Pharmaceuticals for $89,000 as Emflaza, to treat Duchenne muscular dystrophy, which predominantly affects men in their 20s.
The best part of the video is the increasing happiness and confidence you can see on his face as his body transforms. (Isou Dw)
The graphene temporary tattoo seen here is the thinnest epidermal electronic device ever and according to the University of Texas at Austin researchers who developed it, the device can take some medical measurements as accurately as bulky wearable sensors like EKG monitors. From IEEE Spectrum: Graphene’s conformity to the skin might be what enables the […]
Python is immensely popular in the data science world for the same reason it is in most other areas of computing—it has highly readable syntax and is suitable for anything from short scripts to massive web services. One of its most exciting, newest applications, however, is in machine learning. You can dive into this booming […]
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Instead of throwing out all the empties after your next party, why not transform them into some new DIY glassware? Cut back on waste and add some home ambiance with the Kinkajou Bottle Cutter and Candle Making Kit.The Kinkajou is designed as a clamp-on scoring blade to make precise cuts. Just slide a bottle in, tighten […]