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<p class="MsoNormal"><span style="font-size:12.0pt">***apologies if you receive this more than once***<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt">As part of the Turing Fellow Research Projects event series taking place across the Institute’s university partner network, I’m pleased to share details of the final two presentations being hosted by our Southampton
Fellows in collaboration with The University of Manchester.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt">Details and registration links for the events are below.<o:p></o:p></span></p>
<p class="xxmsonormal"><span style="color:black"> </span><o:p></o:p></p>
<p class="xmsonormal"><b><span style="font-size:14.0pt">Wednesday 3 November, 13:15-14:30<o:p></o:p></span></b></p>
<p class="xmsonormal"><b><span style="font-size:14.0pt">Register <a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fus02web.zoom.us%2Fwebinar%2Fregister%2FWN_XeILjhwERlGOKKaHc9TI_w&data=04%7C01%7Csdd1%40soton.ac.uk%7Ce11f7eed894c473ca86808d98f05602c%7C4a5378f929f44d3ebe89669d03ada9d8%7C0%7C0%7C637698075526317108%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=LjkmDPD0Hu31vG4WsJOjE06T%2F9a7eZXOmOitIzklrFY%3D&reserved=0">
here</a><o:p></o:p></span></b></p>
<p class="xmsonormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="xmsonormal"><b><span style="font-size:12.0pt">Data science approaches to applied mathematical modelling</span></b><o:p></o:p></p>
<p class="xmsonormal"><span style="font-size:12.0pt"><a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.turing.ac.uk%2Fpeople%2Fresearchers%2Fmarika-taylor&data=04%7C01%7Csdd1%40soton.ac.uk%7Ce11f7eed894c473ca86808d98f05602c%7C4a5378f929f44d3ebe89669d03ada9d8%7C0%7C0%7C637698075526327105%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=Jcv1uvgru6JsB0pHB4n1w2diUDr5bEZJnPSYgKcbgL0%3D&reserved=0">Marika
Taylor</a></span><o:p></o:p></p>
<p class="xmsonormal"><span style="font-size:12.0pt">In this talk Marika Taylor will describe new relationships between tessellations and codes used for quantum error correction, focussing on tessellations of negatively curved (hyperbolic) spaces. The motivations
for constructing such codes will be explored - these range from fundamental physics to understanding the geometry underlying quantum machine learning.<o:p></o:p></span></p>
<p class="xmsonormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="xmsonormal"><b><span style="font-size:12.0pt">Jazz as Social Machine</span></b><o:p></o:p></p>
<p class="xmsonormal"><span style="font-size:12.0pt"><a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.turing.ac.uk%2Fpeople%2Fresearchers%2Fthomas-irvine&data=04%7C01%7Csdd1%40soton.ac.uk%7Ce11f7eed894c473ca86808d98f05602c%7C4a5378f929f44d3ebe89669d03ada9d8%7C0%7C0%7C637698075526327105%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=3Vz4%2Ft0xHzSlUEwisuFDmgPKGQT0qiIFUjKMMeq%2BdKI%3D&reserved=0">Thomas
Irvine</a></span><o:p></o:p></p>
<p class="xmsonormal"><span style="font-size:12.0pt;color:black">Making jazz with machine learning agents turns out to be complicated. Using insights from Web Science, Science and Technology Studies and musicological jazz studies, I survey the techniques currently
in use, and explore what it is about jazz's data that makes machine learning jazz more of a "social" problem than other challenges in the growing field of Music Information Retrieval.</span><o:p></o:p></p>
<p class="xmsonormal"><span style="font-size:12.0pt"> </span><o:p></o:p></p>
<p class="xmsonormal"><b><span style="font-size:14.0pt">Tuesday 23 November, 14:00-15:30<o:p></o:p></span></b></p>
<p class="xmsonormal"><b><i><span style="font-size:14.0pt">Joint with The University of Manchester<o:p></o:p></span></i></b></p>
<p class="xmsonormal"><b><span style="font-size:14.0pt">Register <a href="https://teams.microsoft.com/registration/-XhTSvQpPk2-iWadA62p2A,1bh6qC4isUeT-gmiMP7McA,tfrNasdn50-4SBzv6YT4tw,bim-TalsAUSNJvHouy6iYg,zLVSjJcH4Eqt2ilJ3rgl2g,u3tnKBmtu0auqx8zwV8YFQ?mode=read&tenantId=4a5378f9-29f4-4d3e-be89-669d03ada9d8">
here</a><o:p></o:p></span></b></p>
<p class="xmsonormal"><b><span style="font-size:14.0pt"><o:p> </o:p></span></b></p>
<p class="xmsonormal"><b><span style="font-size:12.0pt">A Multidisciplinary Study of Predictive Artificial Intelligence Technologies in the Criminal Justice System</span></b><span style="font-size:12.0pt"> </span><o:p></o:p></p>
<p class="xmsonormal"><span style="font-size:12.0pt"><a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.turing.ac.uk%2Fpeople%2Fresearchers%2Fpamela-ugwudike&data=04%7C01%7Csdd1%40soton.ac.uk%7Ce11f7eed894c473ca86808d98f05602c%7C4a5378f929f44d3ebe89669d03ada9d8%7C0%7C0%7C637698075526337097%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=ra%2FngyWx8qvdfx%2BdkI7Z%2Bna8lHSJwdOdO01lTUb7OyA%3D&reserved=0">Pamela
Ugwudike</a></span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:black">The project explored a classic predictive policing algorithm to investigate conduits of bias. Whilst many studies on real data have shown that predictive policing algorithms can create biased feedback
loops, few studies have systematically explored whether this is the result of legacy data, or the algorithmic model itself. To advance the empirical literature, this project designed a framework for testing predictive models for biases. With the framework,
the project created and tested: (1) a computational model that replicates the published version of a predictive policing algorithm, and (2) statistically representative, biased and unbiased synthetic crime datasets, which were used to run large-scale tests</span><span class="xapple-converted-space"><span style="color:black"> </span></span><span style="font-size:12.0pt;color:black">of
the computational model. The study found evidence of self-reinforcing properties</span><span style="font-size:12.0pt;mso-fareast-language:EN-GB"><o:p></o:p></span></p>
<p class="xmsonormal"><span style="font-size:12.0pt"> <o:p></o:p></span></p>
<p class="xmsonormal"><b><span style="font-size:12.0pt">Topology and neural networks generalisations<o:p></o:p></span></b></p>
<p class="xmsonormal"><span style="font-size:12.0pt"><a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.turing.ac.uk%2Fpeople%2Fresearchers%2Fjacek-brodzki&data=04%7C01%7Csdd1%40soton.ac.uk%7Ce11f7eed894c473ca86808d98f05602c%7C4a5378f929f44d3ebe89669d03ada9d8%7C0%7C0%7C637698075526337097%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=d4Tffc1hlhAePRg8ZXl8wdaNUMdvpHNqZMxBnIpF6OQ%3D&reserved=0">Jacek
Brodzki</a></span><o:p></o:p></p>
<p class="xmsonormal"><span style="font-size:12.0pt">Neural networks are at the centre of many remarkable applications of AI. These powerful classification tools are great when they work well, but have demonstrated weaknesses where they fail at surprisingly
easy tasks. This talk will summarise the results of our pilot project devoted to the study of the geometry of the decision boundaries of neural networks as a predictor for their performance.<o:p></o:p></span></p>
<p class="xmsonormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="xmsonormal"><b><span style="font-size:12.0pt">Anonymisation and Provenance: Expression Data Environments With PROV</span></b><o:p></o:p></p>
<p class="xmsonormal"><span style="font-size:12.0pt"><a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.turing.ac.uk%2Fpeople%2Fresearchers%2Fadriane-chapman&data=04%7C01%7Csdd1%40soton.ac.uk%7Ce11f7eed894c473ca86808d98f05602c%7C4a5378f929f44d3ebe89669d03ada9d8%7C0%7C0%7C637698075526347088%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=cCzSYWI5Y6S5poO0LnMznTompZxJPi0W5PV0jJZ%2FVVc%3D&reserved=0">Adriane
Chapman</a> and <a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.research.manchester.ac.uk%2Fportal%2Fmark.elliot.html&data=04%7C01%7Csdd1%40soton.ac.uk%7Ce11f7eed894c473ca86808d98f05602c%7C4a5378f929f44d3ebe89669d03ada9d8%7C0%7C0%7C637698075526347088%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=80dec%2FHmqnnk2WawBoXpY%2FpDGD5C03WxcBxfnrY0YVk%3D&reserved=0">
Mark Elliot</a>, The University of Manchester</span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-size:12.0pt">The Anonymisation Decision-Making Framework (ADF) is a comprehensive practice designed for assessing and controlling the risks of sharing and disseminating data. This project examines how to use provenance
to support anonymization decision-making. To enable this, we analyze the mapping of concepts between ADF and prov. We have operationalized provenance into the framework, and analyse the suitability via real use cases. We have created prototype tool support
from simulators to reasoners.<o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:12.0pt"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:14.0pt">Background<o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:12.0pt">In 2018 over 300 Turing Fellows were appointed at the Institute following an open call. Some of these received additional funding to deliver research projects that have had substantial impact in the areas
of data science and artificial intelligence. The Institute and its university partners are delighted to host the events which will showcase the breadth of research and demonstrate the impact of these research projects. Events will be added to the website over
the coming weeks, visit regularly for more information.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt">Details of <b>all</b> university partner presentations and how to register can be found
<a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.turing.ac.uk%2Fpresenting-turing-fellow-research-projects&data=04%7C01%7Csdd1%40soton.ac.uk%7Ce11f7eed894c473ca86808d98f05602c%7C4a5378f929f44d3ebe89669d03ada9d8%7C0%7C0%7C637698075526357084%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=%2F67rLUvLYpsdewG9P6pMEn%2BtV07qFfygSIKbSucOsoM%3D&reserved=0">
here</a> – we look forward to seeing you there.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt">Please feel free to disseminate more widely.
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt">Best wishes<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt">Susan<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;mso-fareast-language:EN-GB">_________________________________<o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:12.0pt;mso-fareast-language:EN-GB">Susan Davies<o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:12.0pt;mso-fareast-language:EN-GB">Coordination Manager,
<a href="https://www.southampton.ac.uk/wsi/index.page?">Web Science Institute</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;mso-fareast-language:EN-GB">University Liaison Manager,
<a href="https://www.southampton.ac.uk/wsi/alan-turing-institute/alan-turing-institute.page">
The Alan Turing Institute</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;mso-fareast-language:EN-GB">Web Science Institute<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;mso-fareast-language:EN-GB">University of Southampton<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;mso-fareast-language:EN-GB">Southampton SO17 1BJ<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;mso-fareast-language:EN-GB">M 07768 266464<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;mso-fareast-language:EN-GB"><a href="https://www.southampton.ac.uk/wsi/index.page">https://www.southampton.ac.uk/wsi</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><i><span style="font-size:12.0pt;mso-fareast-language:EN-GB">My working days are Monday to Thursday.<o:p></o:p></span></i></b></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-GB"><o:p> </o:p></span></p>
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