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Comments on: A Challenge to Data Scientists https://www.becomingadatascientist.com/2015/11/22/a-challenge-to-data-scientists/ Documenting my path from "SQL Data Analyst pursuing an Engineering Master's Degree" to "Data Scientist" Sun, 19 Mar 2017 22:09:59 +0000 hourly 1 https://wordpress.org/?v=6.9.4 By: Renee https://www.becomingadatascientist.com/2015/11/22/a-challenge-to-data-scientists/#comment-3136 Sun, 19 Mar 2017 22:09:59 +0000 https://www.becomingadatascientist.com/?p=719#comment-3136 A TED Talk on this topic – by Joy Buolamwini
http://www.ted.com/talks/joy_buolamwini_how_i_m_fighting_bias_in_algorithms

]]> By: Renee https://www.becomingadatascientist.com/2015/11/22/a-challenge-to-data-scientists/#comment-3117 Sat, 11 Mar 2017 19:08:33 +0000 https://www.becomingadatascientist.com/?p=719#comment-3117 Another case of bias being introduced into a policing model http://snip.ly/aewu1#http://ow.ly/TLB6309Nia4

]]> By: Renee https://www.becomingadatascientist.com/2015/11/22/a-challenge-to-data-scientists/#comment-2990 Sat, 04 Feb 2017 18:54:28 +0000 https://www.becomingadatascientist.com/?p=719#comment-2990 A collection of essays on data and discrimination
https://www.newamerica.org/oti/policy-papers/data-and-discrimination/

via https://twitter.com/annaeveryday

]]> By: Renee https://www.becomingadatascientist.com/2015/11/22/a-challenge-to-data-scientists/#comment-2940 Fri, 13 Jan 2017 21:34:38 +0000 https://www.becomingadatascientist.com/?p=719#comment-2940 Another one about bias and fairness measures re:algorithms used in criminal justice systems

https://www.propublica.org/article/bias-in-criminal-risk-scores-is-mathematically-inevitable-researchers-say

]]> By: Renee https://www.becomingadatascientist.com/2015/11/22/a-challenge-to-data-scientists/#comment-2751 Tue, 11 Oct 2016 15:33:11 +0000 https://www.becomingadatascientist.com/?p=719#comment-2751 2 more relevant articles. Glad this topic is getting discussed more lately!

http://www.datacommunitydc.org/blog/2015/11/socially-responsible-algorithms-at-data-science-dc

http://www.nytimes.com/2016/08/01/opinion/make-algorithms-accountable.html?_r=0

And Jennifer Stark @_JAStark gave a talk about “algorithmic accountability” that I’ll post here when I see the video from pydataDC posted online.

]]> By: Renee https://www.becomingadatascientist.com/2015/11/22/a-challenge-to-data-scientists/#comment-2537 Fri, 25 Mar 2016 05:31:01 +0000 https://www.becomingadatascientist.com/?p=719#comment-2537 It’s not always the designers/developers that introduce bias or negative behavior into a model, but they do have to think about how to prevent those things if allowing others to train it!

https://medium.com/@anthonygarvan/hey-microsoft-the-internet-made-my-bot-racist-too-d897fa847232#.37j9ecrt7

]]> By: Renee https://www.becomingadatascientist.com/2015/11/22/a-challenge-to-data-scientists/#comment-2501 Thu, 18 Feb 2016 03:04:46 +0000 https://www.becomingadatascientist.com/?p=719#comment-2501 In reply to naveen kumar.

Hi naveen, check out the data science learning club (see link in menu) and join in! The answers to your questions will vary a lot depending on your background and goals, but it’s definitely possible. Maybe check out the intros in the meet& greet section of the club forums and find other people like you to follow along with!

]]> By: Renee https://www.becomingadatascientist.com/2015/11/22/a-challenge-to-data-scientists/#comment-2500 Thu, 18 Feb 2016 03:00:09 +0000 https://www.becomingadatascientist.com/?p=719#comment-2500 This article really drives the point home about considering the impact of your analysis http://arstechnica.co.uk/security/2016/02/the-nsas-skynet-program-may-be-killing-thousands-of-innocent-people/

]]> By: naveen kumar https://www.becomingadatascientist.com/2015/11/22/a-challenge-to-data-scientists/#comment-2356 Sun, 06 Dec 2015 18:19:57 +0000 https://www.becomingadatascientist.com/?p=719#comment-2356 i am working as pl/sql developer,knowledge on data warehousing and reporting streams and having 3 years of experience in insurance domain.
Is it a better option to go for data science
if so what are the areas need to concentrate more
R-language,machine learning,python
please suggest me the better approach how to learn and what are the key areas i need to be strong
please suggest me as you are working already that makes lot’s help for me from past 2 months i am doing the background work to go for data science .
i have approached 4 to 5 faculties they are confusing me without knowing the bigdata data science is not possible is it correct ?

thanks.

]]> By: Renee https://www.becomingadatascientist.com/2015/11/22/a-challenge-to-data-scientists/#comment-2326 Mon, 23 Nov 2015 07:31:20 +0000 https://www.becomingadatascientist.com/?p=719#comment-2326 Been having some conversation about this on Twitter:
https://twitter.com/BecomingDataSci/status/668512912395341828

]]> By: Renee https://www.becomingadatascientist.com/2015/11/22/a-challenge-to-data-scientists/#comment-2324 Sun, 22 Nov 2015 19:38:12 +0000 https://www.becomingadatascientist.com/?p=719#comment-2324 A thoughtful challenge to my challenge: http://tm.durusau.net/?p=65833&cpage=1#comment-134720

]]> By: A Challenge to Data Scientists « Another Word For It https://www.becomingadatascientist.com/2015/11/22/a-challenge-to-data-scientists/#comment-2323 Sun, 22 Nov 2015 18:25:32 +0000 https://www.becomingadatascientist.com/?p=719#comment-2323 […] A Challenge to Data Scientists by Renee Teate. […]

]]> By: Renee https://www.becomingadatascientist.com/2015/11/22/a-challenge-to-data-scientists/#comment-2322 Sun, 22 Nov 2015 17:05:23 +0000 https://www.becomingadatascientist.com/?p=719#comment-2322 In reply to Marts.

(Thanks, by the way!)

]]> By: Renee https://www.becomingadatascientist.com/2015/11/22/a-challenge-to-data-scientists/#comment-2320 Sun, 22 Nov 2015 17:04:30 +0000 https://www.becomingadatascientist.com/?p=719#comment-2320 In reply to Marts.

Yes, I know we’re never going to achieve perfection here, and often we’re tasked with doing things fast vs thoughtfully, but my main point of writing was to get people to at least think about it. With so many systems being computerized and automated, it’s scary to think how we could be building bias into them and therefore could be discriminating even faster and more consistently! I hope that being aware of it will make us tweak our actions just enough. Or at least check to make sure we’re not causing unintended negative consequences.

]]> By: Marts https://www.becomingadatascientist.com/2015/11/22/a-challenge-to-data-scientists/#comment-2319 Sun, 22 Nov 2015 16:54:55 +0000 https://www.becomingadatascientist.com/?p=719#comment-2319 Yikes! Quite the challenge, but definitely one worth pursuing.

]]> By: Renee https://www.becomingadatascientist.com/2015/11/22/a-challenge-to-data-scientists/#comment-2307 Sun, 22 Nov 2015 05:36:16 +0000 https://www.becomingadatascientist.com/?p=719#comment-2307 In reply to Renee.

Suresh Venkat is also on the episode. Here is his article about algorithms and discrimination:
https://medium.com/@geomblog/when-an-algorithm-isn-t-2b9fe01b9bb5#.4llc1hoo0

]]> By: Renee https://www.becomingadatascientist.com/2015/11/22/a-challenge-to-data-scientists/#comment-2306 Sun, 22 Nov 2015 05:32:27 +0000 https://www.becomingadatascientist.com/?p=719#comment-2306 It took me a couple weeks to form this essay, and the day before I planned to publish it, I heard a promo for Science Friday on NPR for a segment featuring Kate Crawford about the same topic!

I’m listening to it now and it’s really interesting, go give it a listen:
http://www.sciencefriday.com/segments/why-machines-discriminate-and-how-to-fix-them/

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