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Leveraging Machine Learning for Knowledge Mining and Management in R&D Projects

This project aims to assess the market potential of technologies enabled by the research, estimate market values, and identify industry requirements for an applied superconductivity doctoral program.

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Leveraging Machine Learning for Knowledge Mining and Management in R&D Projects

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  1. Mid-Term Check10 December 2018, Brussels Linn Kretzschmar ESR 5, Workpackage 5 - Valorisation

  2. Agenda 3. Work Plan 4. Training & Conferences 5. Outreach & Networking 2. Objectives 6. Impact 1. Personal Background WP 5 1 Linn Kretzschmar (ESR 5, WP 5)

  3. 1. Personal Background PREVIOUS EXPERIENCES CURRENT POSITION Education 2015-2017MSc International Marketing & Management 2017 Exchange Semester 2009-2014BSc Business Administration Professional 2015 Intern Business Development, Vietnam 2013-2015 Working Student Marketing, Germany 2010-2012 Working Student Project Management, Germany • Vienna University of Economics and Business Institute for Entrepreneurship & Innovation • Contractstarted 15. December 2017 • Academic Supervisor: Prof. Nikolaus Franke • Project Supervisor: Prof. Peter Keinz • PhDtopic: • Leveraging Machine Learning for Knowledge Mining and Management in geographically dispersed R&D projects • PlannedSecondments: • Will takeplacebetween M22 & M39 • Desy & XFEL (Hamburg, Germany) 2 Linn Kretzschmar (ESR 5, WP 5)

  4. 2. Objectives MyRole in this EU projectisto… • work with ESRs & non-academic participants to assess market potentialsof technologies made possible by the research (TCL) • develop credible estimates for the market valuesof the studied technologies • identify the industry requirements and needs for an applied superconductivity doctorial program 3 Linn Kretzschmar (ESR 5, WP 5)

  5. 3. Workplan (I) EASIschool II EASIschool III Project Check Kick-Off Exposureto non-academicsector (secondments, visits, jointactivities) EASIschool I PhD Project Hackathon P1 Superconducting Materials (II) – Assessment Market Potential P1 Superconducting Materials (I) – TCL Method P3 Thin film superconducting RF cavities (I) – TCL method P3 Thin Film superconducting RF cavities– Assessment Market Potential today 2018 2019 2020 M35 M39 M20 M30 M25 M15 Project End Due Date Deliverables Important Events 4 Linn Kretzschmar (ESR 5, WP 5)

  6. 3. Workplan (II) • IN PROGRESS • NEXT STEPS • Project: Value Chain Analysis (until Jan 19), Output: Report • Information exchange with ESRs • Coordination with Supervisor • Continued regular WP5 status update meetings • Project: Market Potential Analysis of relevant technologies (March ‘19) • Networking & presenting results at “Accelerators of Innovation” (March ’19) • Organizing Hackathon & IP Management workshop Task in progress 5 Linn Kretzschmar (ESR 5, WP 5)

  7. 4. Training & Conferences Conferences Trainings Workshops & Events Oct 2018 Research Seminar Machine Learning at LBS (London) Oct 2018 Philosophyof Science (PhDcourse) Oct2018 Machinelearning & semanticstextanalysis Feb 2018 – June 2018 Research Seminar Innovation & Entrepreneurship (PhDcourse) Apr 2018 Writing, criticalthinking & research-basedlecturing Aug 2018 Open and User Innovation Conference, NYU (USA) Apr 2018 4th Future CircularColliderWeek, CERN (NL) April 2019 FuSuMaTech Workshop (CERN) Feb 2019 Machine Learning Workshop (Prague) Oct 2018 – Feb 2019 Career Development Programforfemalescientists (Vienna) Sep 2018 EASISchool I, scientific & businessrelatedlecturesandmediatraining (Vienna) Mar 2018 EASITrain Kick-Off lectures, scientificandprojectmanagementrelatedlectures, safetytrainings (Geneva) 6 Linn Kretzschmar (ESR 5, WP 5)

  8. 5. Outreach & Dissemination Outreach activities • 2 News articles on University’s/ Institute’s website • Published: 28.03.2018 & 15.09.2018 @ www.wu.ac.at/entrep/ • Attendance of scientific documentary Vernissage in Viennawith all ESRs and networking with participants (September, AU) Dissemination & networking activities • Planned: Presentation of Poster @ OUI 2019 (July, NL) • Contact with several industry experts in the contextof conducting the first project 7 Linn Kretzschmar (ESR 5, WP 5)

  9. 6. Impact Individual Level Organisational Level Societal Level • Research opportunity • Attractiveworkingconditions • Interesting & relevant researchproject • Networking • Bepartof an interdisciplinary & international network • Complementarycompetences • Funds toattendcomplementaryworkshops, languageclasses & conferences • Exposureto non-academicsectorthroughSecondments •  ImprovedEmployability • EU-wideestablishmentofskilled HR base • Strengthened EU HR base in R&I • Links betweenbusiness & academia • Leverageuntapped potential ofuniversity-industrycollaborations • Combiningresearch, innovation & education • Improvedsocietalrelevancyofhighereducation •  Improved EU competitiveness & growth • Access tohighlyskilledemployees • Fundingforresearchpositions • Structured supervisionarrangements • More structured, mobile & qualitative doctoraltraining in Europe • Networks • International, betweensectorsandindustries • Quality ofoutcome • Increasedknowledgetransfer •  Boostedcompetitivenessthroughquality R&I activities 8 Linn Kretzschmar (ESR 5, WP 5)

  10. Thank you! 9 Linn Kretzschmar (ESR 5, WP 5)

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