::fibreculture:: PhD opportunity - algorithmic governance and big data

[Andrew Murphie]

Dear Colleagues,



Apologies for cross-posting and the generic email.


I wanted to get in touch about a new PhD scheme here at The University of
New South Wales (UNSW) in Sydney, Australia, specifically designed to
attract high quality PhD candidates across a range of strategic research
projects.  Within this scheme – referred to the ‘Scientia PhD Scholarships’
- we are currently advertising a prestigious UNSW Scientia PhD Scholarship
in the area of algorithmic governance and big data, specifically
focused on* the
interface between Artificial Intelligence and Education* (See below for
description).



PhD Scholarship benefits under the scheme include:



—*$40K (AUS) a year* stipend for four years (this is roughly $30K USD per
year)

—*Tuition fees covered* for the full 4 year period

—*Coaching and mentoring* will form a critical part of your
highly-personalised leadership development plan

—*Up to $10k each year to build your career and support your international
research collaborations*



Candidates would most likely already have completed work at Masters level
and published work with a leading academic publisher to be competitive (or
equivalent).



The supervisory team for the Artificial Intelligence stipend is Kalervo
Gulson, Matthew Kearnes and Andrew Murphie.



More information on these scholarships: http://www.2025.
unsw.edu.au/apply/?interest=scholarships



Information on this position​ and to apply: http://www.2025.unsw.ed
u.au/apply/scientia-phd-scholarships/impact-artificial-
intelligence-education-policy



We would be grateful if you could bring this opportunity to the attention
of promising students, and to direct their interest and enquires in the
first instance to Kalervo Gulson (k.gulson at unsw.edu.au), Matthew Kearnes (
m.kearnes at unsw.edu.au) or Andrew Murphie (a.murphie at unsw.edu.au)



​

*The Impact of Artificial Intelligence on Education Policy*

This project will be part of investigations into the ongoing and potential
impact of artificial intelligence on both education policy making and
analysis. PhD projects that address any or all of the following questions
are welcome (1) what are the possibilities and challenges for education and
education policy that are occurring and will occur by implementing
artificial intelligence into governance, instructional and assessment
settings?  How might these possibilities and challenges relate to changes
already occurring around algorithmic governance and big data in education?
(2) what are the ethical, economic, and political biosocial considerations
of implementing artificial intelligence into educational organizations?
This includes issues of trust and transparency relating to the ‘black box’
of AI and prediction; and (3) how does artificial intelligence, including
machine learning, use ideas from social policy, including policy and value
networks, and how can policy analysts use these same ideas? What are the
epistemological and ontological issues, such as those around
representation, posed by AI for policy and analysis?





Best regards,



Andrew

-- 
***

"A traveller, who has lost his way, should not ask, Where am I? What he
really wants to know is, Where are the other places" - Alfred North
Whitehead

"Suppose you had the revolution you are talking and dreaming about. Suppose
your side had won, and you had the kind of society that you wanted. How
would you live, you personally, in that society? Start living that way
now!" *Hope in the Dark*, Rebecca Solnit

Andrew Murphie - Associate Professor
School of the Arts and Media,
University of New South Wales,
Sydney, Australia, 2052

Editor - The Fibreculture Journal http://fibreculturejournal.org/>
web: http://www.andrewmurphie.org/ <http://dynamicmedianetwork.org/>

tlf:612 93855548 fax:612 93856812
room 311H, Robert Webster Building
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