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leaRning
out loud
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Mara Averick
Data Nerd
Plays with data for fun, and,
sometimes, profit; almost always
using R.
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Mara Averick
Data Nerd
Plays with data for fun, and,
sometimes, profit; almost always
using R.
Has no fancy letters after name.
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Mara Averick
Data Nerd
Plays with data for fun, and,
sometimes, profit; almost always
using R.
Has no fancy letters after name.
Great at self-portraits.
Super nervous.
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data scientist
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No content
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SCIENCE & SOCIETY
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“Science may be
described as the art
of systematic over-
simplification.” — Karl Popper
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“Who let her in?!”
• Sometimes I go on Twitter. . .
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“Who let her in?!”
• Sometimes I go on Twitter. . .
• I tend to: LEARN OUT LOUD
OMG I just learned a thing!! !
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“Who let her in?!”
• Sometimes I go on Twitter. . .
• I tend to: LEARN OUT LOUD
• This is useful to other people ⁉
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If you want to make a deep
non-technical contribution to the
field of data science, I can not
think of a better role model than
@dataandme. . .
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If you want to make a deep
non-technical contribution to the
field of data science, I can not
think of a better role model than
@dataandme. . .
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#
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how did this happen?
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Ethical, Legal &
Social
Implications of
Nanotechnology
Credit: NIST
Nanotechnology Interdisciplinary Research Team
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NIRT × twitter
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NIRT × twitter
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LUCY TWEET GOES HERE
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ex•o•ter•ic
adj· understandable by outsiders
or the general public
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“It is impossible to
speak in such a way
that you cannot be
misunderstood.” — Karl Popper
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artifact
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$
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artifact
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$
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data scientist
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scientist
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Scientist : The Story of a Word
“The appellation scientist is considered a title
of honour, hotly contended for by
economists, engineers, physicians,
psychologists, and others.”
— Sydney Ross, 1962. Annals of Science
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william whewell
“…by analogy with artist, they
might form scientist…there could
be no scruple in making free with
this termination when we have
such words as sciolist,
economist, and atheist”
W. Whewell. (anonymously) 1834. The Quarterly Review, 51, 58-61.
William Whewell. Popular Science
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sci•o•list
n· a superficial pretender to
knowledge
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thomas h. huxley
“To any one who respects the
English language, I think ‘Scientist’
must be about as pleasing a word
as ‘Electrocution.’ I sincerely trust
you will not allow the pages of
Science-Gossip to be defiled by it.”
Thos. H. Huxley 1894. Letter to J.T. Carrington, editor of Science-Gossip, in Ross 1962.
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Hardwicke's science-gossip : an illustrated medium of interchange and gossip for students and lovers of nature. London : Robert Hardwicke, 1866- https://www.biodiversitylibrary.org/bibliography/1953
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Ernest
Rutherford
Ernest Rutherford at the McGill University in 1905
“…said that scientists were
divided into two categories—
physicists and stamp
collectors”
– Daniel Lang, The New Yorker, 1963.
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all scientists
physicists stamp collectors
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physilatelists
physicists stamp collectors
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pan•chres•ton
n· an explanation or theory
which can fit all cases, being used
in such a variety of ways as to
become meaningless
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(“communalism”)
“Mertonian” norms of science
1. Universalism
2. Communism
3. Disinterestedness
4. Organized skepticism
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“Is not science a
dispassionate recording
of facts, uncontaminated
by value judgements?”
(Ross 1962)
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data science-ing
library(tidyverse)
data <- read_csv(data.csv)
model <- fancy_algo(data)
model
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Mom, where do
data come from?
SCIENCE
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science
in context
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science
in context
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What does
doing science
look like?
Credit: Smithsonian Institution Archives
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What does
doing science
look like?
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What does
doing science
look like?
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What does
doing science
look like?
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What does
doing science
look like?
credit: Robin Higgins
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socio-technical
systems
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socio-technical
systems
complex
(Norman & Stappers 2015)
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what about R?
Oh, I’m super into it!
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Oh, I’m super into it!
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my favorite
tools
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data wrangling
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data wrangling
rectangling
% Jenny Bryan
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data wrangling
rectangling
idea
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not very tidy
&
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not very tidy
&
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OMG I just learned a thing!! !
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data scientist
http://bit.ly/mara-earl
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works cited
• Park, Dong Huk, Lisa Anne Hendricks, Zeynep Akata, Bernt Schiele, Trevor Darrell, and Marcus Rohrbach. 2016. “Attentive
Explanations: Justifying Decisions and Pointing to the Evidence.” arXiv,
• Ross, Sydney. 1962. “Scientist: The Story of a Word.” Annals of Science 18 (2): 65–85. doi:10.1080/00033796200202722
• Merton, Robert K. (1973) [1942]. “The Normative Structure of Science.” In The Sociology of Science: Theoretical and Empirical
Investigations, 267–78. University of Chicago Press (1979). '
• Wammes, Jeffrey D., Melissa E. Meade, and Myra A. Fernandes. 2016. “The Drawing Effect: Evidence for Reliable and Robust
Memory Benefits in Free Recall.” Quarterly Journal of Experimental Psychology 69 (9): 1752–76.
• Traweek, Sharon. 1988. Beamtimes and Lifetimes: The World of High Energy Physics. Cambridge, MA: Harvard University Press.
• Latour, Bruno, and Steve Woolgar. 1979. Laboratory Life: The Construction of Scientific Facts. Beverly Hills: Sage Publications.
• Norman, Donald A. 2002. The Design of Everyday Things. Reprint. New York, NY, USA: Basic Books, Inc.
• Norman, Donald A., and Pieter Jan Stappers. 2015. “DesignX: Complex Sociotechnical Systems.” She Ji: The Journal of Design,
Economics, and Innovation 1 (2): 83–106. doi:10.1016/j.sheji.2016.01.002
• NIST image: This work is in the public domain in the United States because it is a work prepared by an officer or employee of
the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of
the US Code. See Copyright.
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( complex?
• Markoski, Branko. 2012. “Using Neural Networks in Preparing and Analysis of Basketball Scouting.” Data Mining Applications
in Engineering and Medicine, 109–32. doi:10.5772/48178.
• Bruce, Scott. 2015. “Evaluating the Importance of Statistical Diversity in the NBA Using Player Tracking Data.” Journal of
Sports Analytics.
• Fewell, Jennifer H, Dieter Armbruster, John Ingraham, Alexander Petersen, and James S Waters. 2012. “Basketball Teams as
Strategic Networks.” PLoS ONE 7 (11). doi:10.1371/journal.pone.0047445.
• de Saá Guerra, Yves, Juan Manuel Martín Gonzalez, Samuel Sarmiento Montesdeoca, David Rodriguez Ruiz, Nieves Arjonilla
López, and Juan Manuel García-Manso. 2013. “Basketball Scoring in NBA Games: An Example of Complexity.” Journal of
Systems Science and Complexity 26 (AUGUST): 94–103. doi:10.1007/s11424-013-2282-3.
• Clemente, Filipe Manuel, Fernando Martins, Dimitris Kalamaras, Rui Mendes, Fernando Manuel, and Lourenço Martins. 2015.
“Network Analysis in Basketball: Inspecting the Prominent Players Using Centrality Metrics.” Journal of Physical
Education and Sport 15 (2): 212–17. doi:10.7752/jpes.2015.02033.
• Kohli, Ikjyot Singh. 2015. “On Optimal Offensive Strategies in Basketball.” arXiv, 1–8.
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