<p class="last"><i>In August 2013, we held a panel discussion at the KDD 2013 conference in Chicago on the subject of data science, data scientists, and start-ups. KDD is the premier conference on data science research and practice. The panel discussed the pros and cons for top-notch data scientists of the hot data science start-up scene. In this article, we first present background on our panelists. Our four panelists have unquestionable pedigrees in data science and substantial experience with start-ups from multiple perspectives (founders, employees, chief scientists, venture capitalists). For the casual reader, we next present a brief summary of the experts' opinions on eight of the issues the panel discussed. The rest of the article presents a lightly edited transcription of the entire panel discussion.</i></p>
%0 Journal Article
%1 doi:10.1089/big.2014.0031
%A Provost, Foster
%A Webb, Geoffrey I.
%A Bekkerman, Ron
%A Etzioni, Oren
%A Fayyad, Usama
%A Perlich, Claudia
%D 2014
%J Big Data
%K business datascience startup
%N 3
%P 117-128
%R 10.1089/big.2014.0031
%T A Data Scientist's Guide to Start-Ups
%U /brokenurl# http://dx.doi.org/10.1089/big.2014.0031
%V 2
%X <p class="last"><i>In August 2013, we held a panel discussion at the KDD 2013 conference in Chicago on the subject of data science, data scientists, and start-ups. KDD is the premier conference on data science research and practice. The panel discussed the pros and cons for top-notch data scientists of the hot data science start-up scene. In this article, we first present background on our panelists. Our four panelists have unquestionable pedigrees in data science and substantial experience with start-ups from multiple perspectives (founders, employees, chief scientists, venture capitalists). For the casual reader, we next present a brief summary of the experts' opinions on eight of the issues the panel discussed. The rest of the article presents a lightly edited transcription of the entire panel discussion.</i></p>
@article{doi:10.1089/big.2014.0031,
abstract = { <p class="last"><i>In August 2013, we held a panel discussion at the KDD 2013 conference in Chicago on the subject of data science, data scientists, and start-ups. KDD is the premier conference on data science research and practice. The panel discussed the pros and cons for top-notch data scientists of the hot data science start-up scene. In this article, we first present background on our panelists. Our four panelists have unquestionable pedigrees in data science and substantial experience with start-ups from multiple perspectives (founders, employees, chief scientists, venture capitalists). For the casual reader, we next present a brief summary of the experts' opinions on eight of the issues the panel discussed. The rest of the article presents a lightly edited transcription of the entire panel discussion.</i></p>},
added-at = {2015-01-15T20:13:44.000+0100},
author = {Provost, Foster and Webb, Geoffrey I. and Bekkerman, Ron and Etzioni, Oren and Fayyad, Usama and Perlich, Claudia},
biburl = {https://www.bibsonomy.org/bibtex/21fe2495e766a0eac18cc86803e0f04f8/asmelash},
description = {A Data Scientist's Guide to Start-Ups | Abstract},
doi = {10.1089/big.2014.0031},
eprint = {http://dx.doi.org/10.1089/big.2014.0031},
interhash = {3e7b97fb77e03958f139bbdef505e255},
intrahash = {1fe2495e766a0eac18cc86803e0f04f8},
journal = {Big Data},
keywords = {business datascience startup},
number = 3,
pages = {117-128},
timestamp = {2015-01-15T20:13:44.000+0100},
title = {A Data Scientist's Guide to Start-Ups},
url = {/brokenurl# http://dx.doi.org/10.1089/big.2014.0031 },
volume = 2,
year = 2014
}