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SUMMARY:From IP management to machine learning and audio diagnostics – h
 ighlights of interdisciplinary response to the pandemic - Frank Tietze\, I
 fM and Cecilia Mascolo (Dep Computer Science and Technology)
DTSTART:20200702T130000Z
DTEND:20200702T140000Z
UID:TALK149824@talks.cam.ac.uk
CONTACT:49768
DESCRIPTION:Cambridge Network and Maxwell Centre are delighted to invite y
 ou attend a webinar featuring:\n\nFrank Tietze\, University Lecturer at th
 e Institute for Manufacturing (IfM)\n\nTitle: Unpacking Intellectual Prope
 rty challenges during the Covid-19 pandemic\n\nHave you ever wondered what
  intellectual property (IP) got to do with a crisis? When the Covid-19 pan
 demic started to emerge we started asking this ourselves\, particular my t
 eam at the Innovation and IP Management (IIPM) Laboratory. When unpacking 
 what IP got to do with the Covid-19 pandemic we found quite a number of IP
  associated challenges. Probably\, the most obvious one is related to the 
 IP associated with any future vaccine. However\, we learnt that this is by
  far the only IP associated challenge in such highly turbulent and dynamic
  times that decision makers in companies and governments should be aware o
 f. During this talk I will share with you the insights we gained during th
 e past months\, such as IP challenges resulting from changing industrial o
 rganisational structures during the pandemic caused by new constellations 
 and partnerships being formed because of Covid-19 manufacturing repurposin
 g. The talk provides initial recommendations for decision makers that cons
 ider IP as a potential policy tool\, such as the Open Covid Pledge (www.op
 encovidpledge.org). A number of technology corporations and university hav
 e already pledged to make their IP freely available during the pandemic.\n
 \n \n\nCecilia Mascolo\, Professor at the Department of Computer Science a
 nd Technology\n\nTitle: Mobile Health Diagnostics through Audio Signals 
 \n\nAudio has been used for centuries by doctors as diagnostics technique.
  In this talk\, I plan to reflect on the challenges and opportunities that
  using audio sourced from mobile and wearables could offer in terms of aut
 omated diagnostic tools for disease and progression. I will use examples f
 rom my group’s ongoing research on exploring devices collecting audio si
 gnals (as well as other more traditional signals) from the human body to u
 nderstand\, track and diagnose health\, in particular a case study on COVI
 D-19 (covid-19-sounds.org) we have been working on since the outbreak. I w
 ill also talk about the machine learning and data analysis challenges impo
 sed by this sort of data using examples from our collaborations with epide
 miologists and clinicians.  \n\n 
LOCATION: Webinar  (via Zoom online)- link to follow
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