[Turing-Southampton] Call for Turing academic data science impact event liaisons and event organizers

[Susan Davies]

***Apologies if you receive this more than once and for the delay in circulating this call, which came in when I was on annual leave last week***
Dear colleagues,
In pursuit of its mission, the Alan Turing Institute will be piloting mechanisms to catalyse the impact of data science and artificial intelligence across its university partners.
We are looking to fund local data study events, organized by local academics, on behalf of their home university, to generate interdisciplinary or translational impact across the UK. For this, we are looking for academics acting as the main local point of contact, and/or (co-)organizing Turing supported data science impact events with academic end users (e.g., medicine, engineering, humanities) or industry/3rd sector/government. The format would be scoping events or data study groups, adapted to the local timelines and operations.
All opportunities are funded through grant awards, and confer affiliation with the Alan Turing Institute, subject to a successful application. Final application deadline is Dec 31, 2018; early successful applicants will be invited to visit parts of the Data Study Group taking place Dec 10-14, 2019. Timelines, application processes, and further particulars for the current period (Dec 2018 - Mar 2019) can be found in the appendix below.
Best Regards
Franz Király,
on behalf of the Turing Data Study Group Executive Team,
and Sebastian Vollmer, Director Data Study Groups

Appendix
Timelines and application process:
The role's duration is, in first instance, optimally from Dec 12, 2018 to Mar 31, 2019 (inclusive). A later start is possible (indicated in application), e.g., to accommodate for academic duties, though it should not be later than Jan 28, 2019.
Please submit your application directly via the form
https://docs.google.com/forms/d/1wz7m6a-HMUhiIB0sYq9jOwhJ6wWAsIM0sbTcCtVmT-g/viewform<https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.google.com%2Fforms%2Fd%2F1wz7m6a-HMUhiIB0sYq9jOwhJ6wWAsIM0sbTcCtVmT-g%2Fviewform&data=01%7C01%7Csdd1%40soton.ac.uk%7Cea3b078e401b482c3eaa08d65ad8f5d0%7C4a5378f929f44d3ebe89669d03ada9d8%7C1&sdata=1MknXeM%2BFL71tqeFY2oOmstkA2%2BfC9fuN9FmybzdQUk%3D&reserved=0>
no later than Dec 31, 2018. Your application should include:
- a CV in pdf format that includes sections on: organization/facilitation of events; interdisciplinary/translational research/project expertise; list of academic publications, highlight most relevant ones with *
- a cover letter in pdf format
Note that google account is required to log in for completing the form and upload the files - if you do not wish to create an account, please contact datastudygroup at turing.ac.uk<mailto:datastudygroup at turing.ac.uk> directly for alternative arrangements.
Applications will be reviewed by a Turing internal panel in batches, starting Dec 10, 2018, until all positions are filled. A decision will be communicated no later than Jan 7, 2019. Early successful applications (before Dec 12) will be followed by an invitation to join parts of the next Turing Data Study Group (Dec 10-14) for introduction to the event and the organizing team.
Unsuccessful (e.g., late but high-quality) applications will be considered for future iterations (e.g.,) Mar 2019 and later) if the respective box on the application form is ticked.
Role specification:
You will work closely with the Alan Turing Institute's outreach and business teams, as well as your local university's impact/enterprise/translation offices and/or impact related executive branches to select, plan, and co-ordinate data science and artificial intelligence themed impact events supported by the Alan Turing Institute. Your experience in organizing impact events will help scaling data science knowledge exchange at your university. Your academic and technical expertise will be helpful in fostering sustainable interdisciplinary or translational collaborations, to generate impact for your home university, the Alan Turing Institute network, and the UK data science/AI economy.
Concretely, you would:

-        Participate in the selection and matching processes arising from event related participation calls and expressions of interest throughout the Turing partner network

-        Be the academic lead coordinator (supported by business and logistics staff) for potential local Turing supported events

-        Oversee the transition from impact events to sustainable, impactful follow-up projects, at your home university

Selection criteria:
Essential qualifications

-        Experience in the (co-)organisation or facilitation of of mid-to-large scale events

-        Experience with (co-)organizing or facilitating hackathons, scopathons, sandpits, data study groups, collaboration workshops, or comparable types of events

-        Experience in interdisciplinary collaboration


Desirable qualifications

-        Experience with organizing mid-to-large scale events with a data science or artificial intelligence application/translation/impact focus

-        Experience with organizing or facilitating interdisciplinary academic events

-        Experience with organizing or facilitating knowledge transfer events

-        Expertise in data science or artificial intelligence research

-        Expertise in applications of data science or artificial intelligence, with academic or non-academic (industrial, 3rd sector, government) end users

-        Expertise as an application end user of data science or artificial intelligence


Formal role status:
Formally, the role is funded, conferred for the duration from Dec 12, 2018 (or later start date) to Mar 31, 2019 (inclusive), and consists of three parts: (i) award of a project specific PI-ship at your local university, (ii) a Turing project affiliated fellowship role by-secondment, and (iii) role membership of the Alan Turing Institute's Data Study Group University Partner Executive Team.

Renumeration/benefits (subject to confirmation):

-        Up to 40% FTE project grant buy-out (depending on role particulars)

-        Acknowledgment (on publications and in excellence framework evaluations) of having contributed in an academic research coordination role, on all impact directly generated or facilitated by the local data science impact events arising from your incumbency

-        Right of second refusal (after end user PI and data science PI) to PI-ship in Turing sided follow-up project funding application process for opportunities generated by events
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