Skip to main content

How we can make data science more diverse — and why that matters


We’ve experienced a radical global shift in the social perception of issues related to diversity. Studies demonstrate a clear trend towards ‘diversity awareness’ over the past decade. But has this translated into gains for STEM? As far as we can tell, the answer’s a tepid ‘sure, a little.’ We’re seeing small changes filter through in the form of corporate and academic commitments, but continuing studies demonstrate there’s a lot of work left to be done when it comes to actual recruitment and equal-opportunity treatment. While this is probably true throughout most traditional industries, in the STEM fields it’s especially interesting…

This story continues at The Next Web

from The Next Web https://ift.tt/REZHmgf

Comments

Popular posts from this blog

TNW Podcast: Boris comes over to co-host; Slack’s Cal Henderson talks European tech

 Welcome to the new episode of the TNW Podcast — the show where we discuss the latest developments in the European technology ecosystem and feature interviews with some of the most interesting people in the industry. In today’s episode, Andrii is joined by Boris Veldhuijzen van Zanten, co-founder, member of the board, and former CEO of TNW. The topics discussed include the jobs created by Dutch startups, giant state funding for energy projects, translations of the word ‘computer’, and a bunch of other things in between. In the interview section, we’re featuring a conversation with Cal Henderson, co-founder and… This story continues at The Next Web from The Next Web https://ift.tt/jUgcNFD

Defining humanlike intelligence and entrusting it with our lives, explained by an AI researcher

TNW Answers is a live Q&A platform where we invite interesting people in tech who are much smarter than us to answer questions from TNW readers and editors for an hour.  Yesterday, Melanie Mitchell, the author of ‘Artificial Intelligence: A Guide for Thinking Humans’ and the Davis Professor of Complexity at the Santa Fe Institute, hosted a TNW Answers session where she spoke about how much we should really trust AI, her worries surrounding the technology, and defining humanlike intelligence in machines.  [Read: Chess grandmaster Gary Kasparov predicts AI will disrupt 96% of all jobs] Most fears around AI usually… This story continues at The Next Web from The Next Web https://ift.tt/2w7anvS

Google wants you to complete simple tasks for hard cash in its new app

If you’ve ever wanted to work for Google, now’s your best chance. The company has a new app called Task Mate that lets you earn money by completing tasks such as taking pictures of storefronts or recording short voice clips. At the moment, the app is live only for users in India. Plus, you’ll need an invitation code to sign up and start working on these tasks — it appears there aren’t many codes around yet. [Read: Here’s how to make your website more accessible] The firm already has an app called Google Opinion Rewards that asks you questions about its… This story continues at The Next Web Or just read more coverage about: Google from The Next Web https://ift.tt/2UXm3KO