Transcript Document

• Data Science
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Dynamic systems development method - DSDM and the DSDM Consortium:
origins
1
People at that meeting all worked for
blue-chip organisations such as
British Airways, American Express,
Oracle and Logica (other companies
such as Data Sciences and Allied
Domecq have since been absorbed by
other organisations).
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Shugart Associates - History
1
In the story told by Don Massaro the
size and basic design was laid out by
him and Jimmy Adkisson with
cardboard and scissors during a car
trip to Herkimer to visit Mohawk Data
Sciences
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Hadoop - Commercially supported Hadoop-related products
*[
http://www.bigdatapartnership.com
Big Data Partnership], a leading
European-based pure-play big data
service provider in Data Science,
Engineering and certified Training
offers vendor neutral and platform
independent Hadoop consulting
implementation services and certified
training
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GoPivotal - Services
1
*'Pivotal Data Science Labs' - a data
science consultation service provided
by Pivotal’s team of data
scientists[http://gopivotal.com/pivot
al-services-and-solutions/pivotalstrategic-services/pivotal-datascience-labs Pivotal Data Science
Labs], retrieved 22-May-2013
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GoPivotal - Open source software
* OpenChorus - a platform for
collaborative data science with Pivotal
customers, data science practitioners,
open source developers, and partners, for
predictive analytics
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Prescriptive analytics - Further reading
* Laney, Douglas and Kart, Lisa,
(March 20, 2012). [
http://www.parabal.com/uploads/do
cs/Greenplum/Emerging%20Role%2
0of%20the%20Data%20Scientist%20an
d%20the%20Art%20of%20Data%20Sci
ence.pdf Emerging Role of the Data
Scientist and the Art of Data Science]
Gartner.
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Tribe (internet) - Language profiling
Not only do Twitter tribes have mutual
interestsCragg, M.,
[http://www.theguardian.com/music/2011/apr/02/tw
itter-tribes-lady-gaga-rihanna The rise of the
Twitter tribes], The Guardian, April 2, 2011, but
they also share potentially subconscious language
features as found in the 2013 study by
researchers from Royal Holloway University of
London and Princeton
University|Princeton.[http://www.epjdatascience.co
m/content/2/1/3 Word usage mirrors community
structure in the online social network Twitter],
European Physical Journal|EPJ Data Science, 25
February 2013
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Punched card - History
Mohawk Data Sciences introduced a
magnetic tape encoder in 1965, a system
marketed as a keypunch replacement which
was somewhat successful, but punched
cards were still commonly used for data entry
and programming until the mid-1980s when
the combination of lower cost disk
drive|magnetic disk storage, and affordable
computer terminals|interactive terminals on
less expensive minicomputers made punched
cards obsolete for this role as well
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Chief data officer - History and evolution
More recently, with the adoption of Data
science|Data Science the Chief Data Officer
is sometimes looked upon as the key strategy
person either reporting to the Chief Strategy
Officer or serving the role of CSO in lieu of
one. He has responsibility of measurement
along various business lines and
consequently defining the strategy for the
next growth opportunities, product offerings,
markets to pursue, competitors to look at etc.
We see this in organizations like Chartis,
AllState and Fidelity
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Cheltenham - Economy
Vertex Data Science, GE-Aviation,
Chelsea Building Society, Endsleigh
Insurance, Archant, Nelson Thornes,
UCAS (Universities Colleges
Admissions Service), Kohler Mira
Ltd|Kohler Mira, Zurich Financial
Services and Spirax-Sarco Engineering
all have sites in and around
Cheltenham.
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Greenplum - Technology
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Greenplum Chorus is a social
network portal for data science
teams.
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Greenplum - Technology
Greenplum Analytics Lab was a data science
consultation service, renamed Pivotal Data Labs in
2013.
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Dynamic systems development method - DSDM and the DSDM Consortium: origins
1
People at that meeting all worked for bluechip organisations such as British Airways,
American Express, Oracle and Logica
(other companies such as Data Sciences
and Allied Domecq have since been
absorbed by other organisations).
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Keypunch - Transition to direct data entry
1
Mohawk Data Sciences subsequently
produced an improved magnetic tape
encoder in 1965, which was somewhat
successfully marketed as a keypunch
replacement
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Data science
1
Data Science need not be always for big
data, however, the fact that data is scaling
up makes big data an important aspect of
data science.
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Data science
This means that data science must be
practiced as a team, where across the
membership of the team there is expertise
and proficiency across all the disciplines.
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Data science
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Data science techniques impact how we
access data and conduct research across
various domains, including the biological
sciences, medical informatics, social
sciences and the humanities.
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Data science - History
Here, for the first time, the term data
science is included in the title of the
conference (Data Science, classification,
and related methods).
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Data science - History
1
On 10 November 1998, C.F. Jeff Wu gave
his inaugural lecture entitled Statistics =
Data Science? in honor of his appointment
to the H. C. Carver Collegiate
Professorship in Statistics at the University
of Michigan.
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Data science - History
1
Later, he presented his lecture entitled
Statistics = Data Science? as the first of
his 1998 P.C. Mahalanobis Memorial
Lectures. These lectures honor
Prasanta Chandra Mahalanobis, an
Indian scientist and statistician and
founder of the Indian Statistical
Institute.
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Data science - History
International Statistical Review / Revue
Internationale de Statistique, 21-26 In his
report, Cleveland establishes six technical
areas which he believed to encompass the
field of data science: multidisciplinary
investigations, models and methods for
data, computing with data, pedagogy, tool
evaluation, and theory.
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Data science - History
Retrieved from Japan Science and
Technology Information Aggregator,
Electronic:
http://www.jstage.jst.go.jp/browse/d
sj/1/0/_contents Shortly thereafter, in
January 2003, Columbia University
began publishing The Journal of Data
Science,The Journal of Data Science
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Data science - Domain Specific Interests
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Data science requires a
versatile skill-set
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Data science - Research Areas
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As an interdisciplinary subject, data
science draws scientific inquiry from
a broad range of academic subject
areas, mostly related to the hard
scientist. Some areas of research are:
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Data science - Security Data Science
Security data science is data driven,
meaning that new insights and value
comes directly from
data.http://www.securitydatascience.org
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Data science - Clinical Data Science
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Data science has always been
prominent in the field of clinical
trials
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Data science - Conferences
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*ICDSE (International Conference on Data
Science and Engineering), held by
Department of Computer Science, Cochin
University of Science and Technology,
[http://icdse.cusat.ac.in icdse.cusat.ac.in],
2012
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Data science - Conferences
*Annual International Workshop on
Dataology and Data Science, held by
Research Center on Dataology and
DataScience, Fudan University, China,
[http://iwdds.fudan.edu.cn/
iwdds.fudan.edu.cn/], 2010, 2011, 2012
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Data science - Conferences
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* Data science workshops -[http://www.datacurry.in],
[http://www.datacurry.com], 2013
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Medical Image Computing
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'Medical image computing (MIC)' is
an interdisciplinary field at the
intersection of computer science, data
science, electrical engineering,
physics, mathematics and medicine.
This field develops computational and
mathematical methods for solving
problems pertaining to medical
images and their use for biomedical
research and clinical care.
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Rediff.com - History
1
* 'Rediff Labs': Showcases Rediff's data
driven journalism, data science projects
that include interactive web apps and
visualisation of big data
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Gregory I. Piatetsky-Shapiro
1
'Gregory I. Piatetsky-Shapiro' (born 7 April
1958) is a Data Scientist, co-founder of
KDD conferences and Association for
Computing Machinery|ACM SIGKDD
association for Knowledge Discovery and
Data Mining, and President of KDnuggets,
a leading site on Business Analytics, Data
Mining, and Data Science. For simplicity,
he usually abbreviates his name as
'Gregory Piatetsky'.
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Gregory I. Piatetsky-Shapiro - KDnuggets
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KDnuggets started as a directory of main areas
of data mining and data science, including
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Gregory I. Piatetsky-Shapiro - KDnuggets
1
Business Analytics, Data Mining, and Data
Science, including interviews with many
key leaders of the field.
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Lab notebook - Structure
1
Liehr, Improving the Traditional Information
Management in Natural Sciences, Data
Science Journal, 2009, 8, 18-26,
[http://dx.doi.org/10.2481/dsj.8.18 DOI
10.2481/dsj.8.18] Many adhere to the
concept that a lab notebook should be
thought of as a diary of activities that are
described in sufficient detail to allow
another scientist to replicate the steps
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Rediff - History
* 'Rediff Labs': Showcases
[http://labs.rediff.com/ Rediff's data driven
journalism], data science projects that
include interactive web apps and
visualisation of big data. Data driven Lok
Sabha Elections 2014 Candidates' Ethics
Score their position in the previous
elections to make the right decision before
you vote!
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Two Sigma Investments - Fund information
* Two Sigma Ventures focuses on
venture capital investments in
companies, with a focus on companies
operating in the realm of data science,
machine learning, and artificial
intelligence.
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Rexer's Annual Data Miner Survey
1
'Rexer Analytics’s Annual Data Miner
Survey' is the largest Statistical
survey|survey of data mining, data
science, and analytics professionals
in the industry
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Zeitschrift für Physik - Topics covered
1
* European Physical Journal
Data Science: Data Science
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1QBit - Locations
1QBit is headquartered in Vancouver,
British Columbia, Canada. In early 2014,
1QBit was invited to join the OneEleven
data community located in Toronto,
Ontario, Canada. This second location
serves as the data science and software
production arm of the organization.
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Filippo Menczer - Education, Career, Service
1
He holds editorial positions for the journals EPJ
Data Science and Network Science
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Filippo Menczer - Research
Menczer's research focuses on Web
science, social networks, social media,
social computation, Web mining, data
science, distributed and intelligent Web
applications, and modeling of complex
information networks. He introduced the
idea of Focused crawler|topical and
adaptive Web crawlers, a specialized and
intelligent type of Web crawler.
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Carnegie Mellon School of Computer Science - Professional masters
1
* Masters of Science in Computational
Data Science
(MCDS)[http://mcds.cs.cmu.edu/ Masters
in Computational Data Science]
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Virtual research environment
1
Data Science Journal, Vol
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Chapman University - Schmid College of Science and Technology
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degrees in computational and
data sciences
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Fu Foundation School of Engineering and Applied Science - Facilities
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SEAS has secured plots for new graduate
facilities and the Institute for Data Science
and Engineering
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Fu Foundation School of Engineering and Applied Science - Specialized centers
*
[http://idse.columbi
a.edu/ Institute for
Data Sciences and
Engineering]
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Fu Foundation School of Engineering and Applied Science - Specialized centers
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* [http://idse.columbia.edu/foundations-datascience/ Foundations of Data Science Center]
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Love Parade stampede - Incident
1
EPJ Data Science 1:7
(2012),
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The Climate Corporation - History
In November 2013 the company
launched Climate Basic and Climate
Pro, a set of advisory tools for farmers
utilizing data science to help farmers
make optimal decisions.
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New York City Economic Development Corporation - Applied Sciences NYC
1
The Applied Sciences NYC initiatives also
includes the establishment of a campus in
Downtown Brooklyn developed by a
consortium led by NYU that focuses on the
challenges facing cities, and a new
institute for data sciences at Columbia
University.[http://www.nycedc.com/sites/de
fault/files/filemanager/Projects/Applied_Sci
ences_NYC/AppliedSciencesInfographic.p
df Applied Sciences NYC infographic]
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Eudaemons - History
As a science experiment, the group's
objective was accomplished: to prove that
there was a way of statistically predicting
where a ball would fall in a roulette wheel
given some input data. This outcome
precursed data science and embodied the
infancy of predictive analytics.
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