3rd International Summer School in Knowledge Management Building on the success of the previous years, this International Summer School in Knowledge Management (KM) aims to summarize the latest tools, practice and research in KM which can bring about a change in the learner’s organizations. Planned activities include lectures, workshops, and group reflection. The program does not require prior knowledge in KM and attendees from both academia and industry are welcome.

1. Date Time Activity Speaker/ Facilitator
22 Aug 09:30am-10:30am Managing Knowledge in the Age of
Digitalisation
Prof. Eric Tsui
10:30am-11:15am Artificial Intelligence - The Cognition in
Knowledge Management
Ir Dr Daniel Ng
11:15am-11:30am Tea Break
11:30am-12:30pm Knowledge Elicitation and Mapping in
the Cynefin Framework
Ir Prof. WB Lee &
Dr Jessica Yip
12:30pm-02:00pm Lunch
02:00pm-05:00pm Workshop - Lego Serious Play Ms Debbie Hui
23 Aug Company Visit to Arup
(Winner of Global (Independent Operating Unit)
Most Admired Knowledge Enterprise Award 2015)
*** The programme is subject to change.
Enquiries
Miss Trista Lai
2766 6588
trista.lai@polyu.edu.hk
www.kmirc.com
REGISTRATION
goo.gl/ekTYRy Fee (22 Aug)*: HKD 1,500 (Regular Fee)
HKD 1,200 (KMIRC members)
Fee (23 Aug)**: HKD 400
Application Deadline: 27 July 2018
* Fee covers lunch, handout and refreshments
** Enrolment for company visit is only offered for participants
joining summer school on a first-come-first-served basis.
22 Aug
2018
PolyU
Building on the success of the previous years, this International Summer School in
Knowledge Management (KM) aims to summarize the latest tools, practice and
research in KM which can bring about a change in the learner’s organizations.
Planned activities include lectures, workshops, and group reflection. The program
does not require prior knowledge in KM and attendees from both academia and
industry are welcome.
*** The programme is subject to change.

2. Lego Serious Play
If people and innovation is the key to an organization’s success,
how an organization can create an environment that employees live
innovation in their daily work? How we can use game to create
group value and build collaborative working style, and the most
important is how to sustain new behavior to become an
organization new culture and strategy?
The half day workshop will introduce Lego Serious Play and let you
experience the tool, a new way of communication, unlock players’
new knowledge through touching, looking and listening. It will be a
fun and serious gamification journey for everyone to reflect or
apply the results on your work or self-development.
Helping people to help themselves is what Debbie did in the past 15
years in Asia market. She worked in media, property agency, testing
and certification industries on training and taught over 1000 people
mangers on leadership and soft skills topics. Debbie keens in
exploring and sharing new learning approaches, she graduated MSc
in Knowledge Management and a certified trainer of Everything
DiSC and Lego® Serious Play ®. She is now working in the Kuehne &
Nagel Limited as Training and Development Manager.
Prof. WB Lee is the Emeritus
Professor of PolyU. He has
pioneered research and practice of
knowledge management in various
industrial sectors in Hong Kong
which include manufacturing,
trading, public utilities and health
care.
Ms Debbie Hui
Training and Development Manager
Kuehne & Nagel Limited
Ir Prof. WB Lee
Managing Knowledge in the Age of
Digitalisation
Advances in digitalisation, together with mobile computing
and intelligent algorithms have lead to the emergence of the
networked economy. Value creation in the networked
economy is very much based on the creation and exchange of
information and knowledge among the relevant parties. This
talk will explore the impact of digitalisation on the field of
knowledge management and foreshadow fruitful areas of
research and practices in the decades to come.
Artificial Intelligence - The Cognition in
Knowledge Management
Artificial intelligence has appeared in the world of computer
science since 1950. University of Michigan researchers piloted the
algorithm of artificial ants to let computer simulating the natural
movement of ants in a maze. Unfortunately, performance is limited
by computing power.
Today, cloud computing and graphics processors simplify the
execution of artificial intelligence, but celebrities such as Eric
Schmidt of Google and Elon Musk of Tesla warn of over
aggressiveness in this technology.
In this short talk, the speaker will walk through the basic of artificial
intelligence and how it interacts with human being. The paradigm
of cognitive computing is debriefed in the relationship to tacit
knowledge and of course the role of explicit knowledge is
extended through artificial intelligence.
Dr Jessica Yip obtained her
PhD from PolyU and had
worked in KMIRC on various
knowledge audit projects in
many sectors from
transportation to public
utility.
Dr Jessica Yip
Ir Dr Daniel Ng is a Chartered Engineer and CPA. He has PhD (Big
Data), PhD (Business Modelling) and DBA (Compliance) and MSc KM
(a total of 10 degrees). The speaker is the Current Chair (2017/18) of
Manufacturing & Industry Division, Hong Kong Institution of
Engineers. He runs technology companies in Beijing and Guangzhou,
Textile printing in Kunshan, Toy factory in DongGuan, Oil & Gas tank
farm in Singapore. Before, he was Executive Director of a listed
entity. His is actively in scientific research on the cryptocurrency
algorithm, artificial intelligence and FPGA. He is an industry advisor to
HKUST ECE Department.
Prof Tsui joined Computer Sciences Corporation (CSC) in 1989 after
years of academic research in automated knowledge acquisition,
natural language processing, case-based reasoning and knowledge
engineering tools. His research strengths include cloud-based
business innovation and knowledge services. He has also consulted
for many government departments and private organizations in
different countries. Prof Tsui is an honorary advisor of KM to the
Police College, Hong Kong Police Force. He is a recipient of the KM
Leadership Award and KM and Intellectual Capital Excellence Award in
2014 and 2015 respectively.
Prof. Eric Tsui
Professor and Director
KMIRC of PolyU
Ir Dr Daniel Ng
Chair of Manufacturing & Industry Division
Hong Kong Institution of Engineers
Knowledge Elicitation and Mapping in the
Cynefin Framework
How do we organize, analyze and make sense of the external world
depends strongly how do we perceive the problem. The way
knowledge is mapped and represented depends on the underlying
causality that is either known, predictable, complicated or complex.
The Cynefin framework developed by David J. Snowden categorize
four domains of phenomenon based on our perception of the cause
and effect . In the 1st domain, the cause and effect is repeatable and
predictable. The knowledge needed to make the decision can be
often represented by concept maps as best practices. In the 2nd
domain where the cause and effect could be separated over space
and time, the knowledge can be best represented by cyclic concept
maps, which is also known as a causal loop diagram in systems
thinking. In the 3rd domain, the cause and effect becomes coherent
retrospectively and not repeatable (same input could yield different
output), no standard mapping is possible and sense making
methodology is advocated instead. Three cases on various projects
are illustrated.