Hello PolMeth -
QMSS at Columbia is hosting a virtual talk by one of our visiting
professors, Marco Morales, on this *Thursday, March 31st at 11am EST*.
Details (including a required RSVP) are below. It is open to all.
Feel free to forward this email along to anyone whom you think might be
interested in the talk.
Thanks so much! With best wishes, Greg -- Gregory M. Eirich, Director,
QMSS MA Program, Columbia University
*"Data-Science-as-a-Function: A Conceptual Framework
<https://columbiauniversity.zoom.us/meeting/register/tJYpd-ChpjkiGtR90-z8asDfMNmjSauXEGTi>"*
*Marco Morales*
*Visiting Assistant Professor, QMSS*
*Thursday, March 31st, 11am EST (virtual - RSVP required)*
The Quantitative Methods in the Social Sciences (QMSS) MA program at
Columbia is delighted to host a lecture by Visiting Assistant
Professor, Marco Morales.
Dr. Morales will be speaking about the evolution and current state of Data
Science in business organizations.
It will take place virtually on *Thursday, March 31st at 11am EST*. This
event is open to all, but it does require an* RSVP in advance here
<https://columbiauniversity.zoom.us/meeting/register/tJYpd-ChpjkiGtR90-z8asDfMNmjSauXEGTi>.*
Dr. Morales will discuss how Data Science is traditionally understood as an
activity performed by individuals with specific skill-sets. Because of this
understanding, we have spent a lot of time and energy addressing what Data
Science should be and what defines a data scientist (e.g. skills, tools,
activities).
Given how Data Science has evolved in practice, we can – and undoubtedly
should – rethink Data Science as a function that exists in industry. This
is an evolving function that takes different shapes depending on the
particular characteristics of the firms and industries where it exists.
At minimum, a complete conceptualization of Data-Science-as-a-function –
which Dr. Morales calls the Data Science Shop – clarifies:
· What does the function do? (i.e. the fully-fledged data product
cycle)
· Who crews the function? (i.e. archetype personas)
· How does the function operate? (i.e. interaction between tasks of
archetype personas)
Many benefits arise from evolving our thinking to this
data-science-as-a-function framework:
- Education: What we need to teach (and potential gaps in current
offerings)?
- Hiring managers: Who needs to be hired for the function and with
what skills?
- Executives: Is a firm mature enough for the function?
- Diagnosis: Why does the function succeed and fail at different
firms?
This talk is intended to lay the foundations for this evolution of our
conceptual thinking on Data-Science-as-a-function.
Please join us for this lecture. *RSVP in advance here
<https://columbiauniversity.zoom.us/meeting/register/tJYpd-ChpjkiGtR90-z8asDfMNmjSauXEGTi>.
*
*Dr. Marco Morales* has taught Applied Data Science for Social Scientists
and Theory and Methodology at QMSS since 2016. He is currently in
residence as Visiting Faculty during the Academic Year 2021-2022. During
this time, he is continuing his work on identifying the conditions that
ensure success and adoption of Data Science in corporate environments. Dr.
Morales brings an incredible wealth of behavioral science knowledge and
executive experience leading Data Science organizations in the media and
entertainment industry, most recently at Warner Music Group and
NBCUniversal. Throughout his career in Data Science, he has led teams of
data scientists and data engineers to build automated platforms and data
products tailored to the media space. He received his Ph.D. in Political
Science from New York University His current research interests include
applications of Machine Learning for Inference, Experimentation and Causal
Inference, and the formalization of the differences between inference and
prediction.
*About QMSS*
QMSS <http://qmss.columbia.edu/> of Columbia University is one of the
oldest interdisciplinary applied statistics MA programs of its kind, with
more than 20 years of training graduate students. We count hundreds of
data scientists, senior analysts and academic researchers among our
alumni. We are constantly striving to develop new ways to push the
boundaries of where social science and data science meet at Columbia.
--
Gregory M. Eirich, Director
Quantitative Methods in the Social Sciences
Institute for Social and Economic Research and Policy (ISERP)
Columbia University
420 West 118th Street (International Affairs Building) -- 8th Floor, MC 3355
New York, NY 10027
+1 212 854 8682
[log in to unmask]
*http://qmss.columbia.edu/faculty-and-staff/
<http://qmss.columbia.edu/faculty-and-staff/>*
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