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PRODID:-//7th HKU Teaching and Learning Festival 2024 - ECPv5.3.2.1//NONSGML v1.0//EN
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METHOD:PUBLISH
X-WR-CALNAME:7th HKU Teaching and Learning Festival 2024
X-ORIGINAL-URL:https://er.talic.hku.hk/7thtlfestival24
X-WR-CALDESC:Events for 7th HKU Teaching and Learning Festival 2024
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TZID:Asia/Hong_Kong
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TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:HKT
DTSTART:20240101T000000
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DTSTART;TZID=Asia/Hong_Kong:20241129T123000
DTEND;TZID=Asia/Hong_Kong:20241129T142000
DTSTAMP:20260614T111508
CREATED:20240214T045307Z
LAST-MODIFIED:20241128T065804Z
UID:6474-1732883400-1732890000@er.talic.hku.hk
SUMMARY:Open Class Observation - Prof. Frank van der Wouden
DESCRIPTION:Details\n\n\n\n\n\nSession 1\nSession 2\n\n\nTopic\nWinners and Losers in the Global Economy\nGlobalization and the Environment\n\n\nDate\n22 November 2024 (Friday)\n29 November 2024 (Friday)\n\n\nTime\n12:30pm – 2:20pm\n12:30pm – 2:20pm\n\n\nVenue\nCYCC501\, 5/F\, Chong Yuet Ming Cultural Centre\, Main Campus\, HKU\nCYCC501\, 5/F\, Chong Yuet Ming Cultural Centre\, Main Campus\, HKU\n\n\n\nSpeaker: Prof. Frank van der Wouden\, Assistant Professor\, Department of Geography\, HKU \n\nRegister Now\n\nBrief introduction to the course\nTBC\nNumber of seats for observers/visitors\n5 seats per session (Enrolment will be on a first-come\, first-served basis)\nPurpose of this Session\nLecture\nBiography of the Teacher\n\nProf. Frank van der Wouden is an innovation scholar\, focusing on the strategic dimensions of managing technological change and innovation\, knowledge creation and (regional) economic development. He is interested in the production of new technology and the uneven spatial distribution of economic and innovative activities\, often through the lens of collaboration. \nHis research informs corporate strategic decision-making\, entrepreneurship and public policy. His work is distinctly interdisciplinary\, using theories and methods from strategy\, management\, innovation studies\, economics\, sociology\, network science and geography. Most of his research is quantitative and computationally intensive\, using econometrics\, network analysis\, data mining and machine learning tools to answer research questions.
URL:https://er.talic.hku.hk/7thtlfestival24/event/oco-frank-wouden/
ATTACH;FMTTYPE=image/jpeg:https://er.talic.hku.hk/7thtlfestival24/wp-content/uploads/2024/10/OCOBanner_FrankWouden-scaled.jpg
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