Popular video rental service Redbox agreed in a settlement to make 4,000 of their 35,900 kiosks located in California accessible to people who are blind or visually impaired. The service, which is commonly found in supermarkets and other public areas, is inaccessible to blind or visually impaired users. As part of the agreement, Redbox agreed to add headphone jacks, text-to-speech output, and tactile keyboards to kiosks. The roll-out of accessible video rental boxes will be gradual and is planed to take longer than two years. In the interim, Redbox has also agreed to provide phone support to help blind customers navigate the rental process. It is not clear if Redbox plans to add more DVDs with audio descriptions to benefit its new larger customer base of visually impaired users, but such a plan would seem to make sense. The settlement deal will inevitably increase Redbox's potential customer base by providing access to more people with disabilities. Unfortunately, the settlement seems to only cover a small fraction of Redbox kiosk in California. Hopefully, other kiosk companies will make their services accessible as well.
I recently came across this interview (thanks Dharini for the link!) with Nick Chamandy, a statistician a.k.a a data scientist at Google. I would encourage you to read it; it does have some great points. I found the following snippets interesting: Recruiting data scientists: When posting job opportunities, we are cognizant that people from different academic fields tend to use different language, and we don’t want to miss out on a great candidate because he or she comes from a non-statistics background and doesn’t search for the right keyword. On my team alone, we have had successful “statisticians” with degrees in statistics, electrical engineering, econometrics, mathematics, computer science, and even physics. All are passionate about data and about tackling challenging inference problems. I share the same view. The best scientists I have met are not statisticians by academic training. They are domain experts and design thinkers and they all share one common trait: they love data!...
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