5. An al yt i c s i s e n ab l i n g c l i e n t s wi t h t r u s t e d
an d r e l e van t i n f o r mat i o n i n REAL TI ME
• For each industry the journey consists of a series of steps along a path of competencies to reach a
smarter outcome for organizations
• The power to pull together many sources of data in real time to source actionable insights and optimize
clients’ business
• Revenue IBM generated from Analytics solutions grew 16% from 2010
Through to 2015,
more than 85% of
Fortune 500
organizations will fail
to exploit ‘big data’ for
competitive
advantage
--Gartner Predictions
2012
5 IB M G M U E xte rnal R e lations 201 2
6. D e ve l o p i n g c ap ab i l i t i e s t h at i mp r o ve
vi s i b i l i t y, c o n t r o l an d au t o mat i o n o f c l o u d
c o mp u t i n g s e r vi c e s
IB MS m artC loud
Business Process as a Service
Software as a Service
Platform as a Service
Infrastructure as a Service
IB MS m artC loud IB MS m artC loud IB MS m artC loud
F o u n d ati o n S e rvi c e s S o lu ti o n s
Private & Hybrid Clouds Managed Cloud Services Cloud Business Solutions
Cloud Enablement technologies Infra & platform as a Service Software & Business Process
as a Service
Commitment to open standards & broad ecosystems
6 IB M G M U E xte rnal R e lations 201 2
8. C e n tral G re ate r
Au s trali a E as te rn Ch ina In d ia L ati n M i d d le E as t
N e w Z e alan d AS E AN E u ro p e G ro u p S o u th As i a K o re a Am e ri c a Afri c a
Brisbane Seoul Buenos Aires
Sydney Bandar Seri Begawan Sofia Chandigarh
Beijing Daejeon Daegu Cordoba
Auckland Jakarta Zagreb Luanda
Hong Kong Dehradun Kwangju Rosario
Perth Surabaya Prague Qatar
Taipei Delhi Pusan Rio de Janeiro
Adelaide Medan Brno Alexandria
Hefei Gurgaon Salvador
Hobart Makassar Ostrava Cairo
Xiamen Noida Fortalez
Ballarat Manila Tallinn Accra
Chongqing Jaipur Belo Horizonte
Melbourne Cebu Budapest Nairobi
Shanghai Lucknow Uberlandia
Wellington Chiangmai Almaty Casablanca
Beijing Guwahati Recife
Christchurch Bangkok Riga Port Louis
Tianjin Ahmedabad Curitiba
Lower Hutt Pattaya Vilnius Lagos
Fuzhou Indore Porto Alegre
DaNang Warsaw Karachi
Guangzhou Mumbai Campinas
Ho Chi Minh City Wroclaw Islamabad
Shenzhen Kolkata Joinville
Krakow Lahore
Nanjing Pune Anto fogasta
Gdansk Riyadh
Harbin Bhubaneshwar Medellin
Katowice Dakar
Shijiazhuang Hyderabad Cali
Poznan Johannesburg
Wuhan Vizag Guayaquil
Bucharest Pretoria
Zhengzou Bangalore Guadalajara
Timisoara Durban
Changsha Chennai Monterrey
Ufa Cape Town
Changchun Coimbatore Queretaro
Kazan Port Elizabeth
Nanning Kochi Lima
Rostov-on-Don Bloemfontein
Suzhou Nasik
Samara Dar es Salaam
Nanchang Colombo
Perm Tunis
Shenyang Dakkar
Novosibirrsk Abu Dhabi
Dalian
Krasnoyarsk Dubai
E s tab li s h e d Moscow
Taiyuah Ouangadougou
Qingdao
St Petersburg N’Djamena
p re s e n c e i n Ekaterinburg
Jinan Kinshasa
Xi’an
Belgrade Libreville
m an y Bratislava
Chengdu Accra
Urumchi
Banska Bystrica Lilongwe
G ro wth Kosice
Kunming Antananarivo
Hangzhou
Ljubljana Niamey
M ark e t Ankara
Ningbo Seychelles
Istanbul Freetown
c o u n tri e s ... Izmire Kampala
Dnepropetrovsk Lusaka
Kiev
Tashkent
8 IB M G M U E xte rnal R e lations 201 2
8
9. Evo l vi n g r e g i o n al t al e n t & s k i l l s
IBM is making long term investments to develop talent for the growth markets
Government Global Placements & Collaboration with
Partnerships Mentoring Universities
Transferring knowledge and IBM works with 5,000 universities
By helping governments to and 10,000 faculties around the
establish new national expertise to the growth markets is
critical. One of the ways we do this globe. We have joint initiatives
research facilities, we are and investments with universities
helping to create new is to move experts into the market to
in Vietnam, Malaysia, India,
industries, helping to develop coach and train local teams. Russia, Brazil, Bulgaria, Egypt,
long terms skills curriculums China and Africa to encourage
like SSME. the training of skills required.
9 IB M G M U E xte rnal R e lations 201 2
Reference content from this presentation as: Spohrer, JC (2012) Future of Cities & Universities: From a Service Science Perspective. At Workshop on Smart Communities – Future of Living and Social Web CMU Silicon Valley, NASA Ames, Mountainview, CA USA, Tue June 19, 2012 Permission to redistribute granted upon request to spohrer@us.ibm.com James Spohrer IBM Innovation Champion and Director of IBM University Programs (IBM UP) Title The Future of Cities and Universities: A Service Science Perspective Abstract The future of cities and universities are intertwined, as universities become living-labs for cities. As universities transform themselves, learning to validate service innovations locally and rapidly scale them globally will increasingly become a primary concern, as "data science becomes a sport" important to the way universities compete ( http:// www.kaggle.com ). The talk will discuss IBM's vision and interest in Smarter Cities, and the connections to/between Service Systems and the Internet of Things. IBM has developed over 2000 success stories working with cities around the world, ranging from transportation to water to buildings and energy to health, and with the help of universities, businesses, social sector, and governments, we aim to scale up to more than 100,000 success stories globally in the next few years - IBM aspires to be an essential institution for scaling innovations globally that improve quality-of-life for urbanites. Universities as mini-cities within a city are already complex systems of systems, and can readily become living labs that are instrumented, interconnected, and intelligent. The mission of universities includes knowledge transfer (teaching), knowledge creation (research), and applying knowledge to create value (regional economic development). IBM's Smarter Cities Intelligent Operations Center is one possible platform for university-based Internet of Things experiments that can lead to smarter Service Systems (e.g., http:// www.youtube.com/watch?v =BT3Q4zyiNfA , http:// www.youtube.com/watch?v =B8Z2G7d2kzs and http:// smartercitieschallenge.org / ). This talk should be of value to researchers, educators, and practitioners searching for ways to adopt a more service-oriented perspective for exploring the future of cities and universities. Biography Dr. James (“Jim”) C. Spohrer is IBM Innovation Champion and Director of IBM University Programs (IBM UP). Jim works to align IBM and universities globally for innovation amplification. Previously, Jim helped to found IBM’s first Service Research group, the global Service Science community, and was founding CTO of IBM’s Venture Capital Relations Group in Silicon Valley. During the 1990’s while at Apple Computer, he was awarded Apple’s Distinguished Engineer Scientist and Technology title for his work on next generation learning platforms. Jim has a PhD in Computer Science/Artificial Intelligence from Yale, and BS in Physics from MIT. His current research priorities include applying service science to study nested, networked holistic service systems, such as cities and universities. He has more than ninety publications and been awarded nine patents. Smart Communities: Future of Living and Social Webs With the falling costs of computing and communication technologies, millions of software and hardware based sensory systems, and corresponding application services are beginning to be deployed across physical regions, water distribution, buildings, hospitals, energy networks, cities, manufacturing factories and enterprises. Such socio-technical systems and corresponding social web of services are beginning to show promise towards reducing costs of annual operations, optimizing resource usage, streamlining operations enhancing resilience, and enabling better quality of life and for inhabitants of these regions. It is estimated that over 20% of the resources consumed can be saved annually by simply controlling usage during off-peak hours. We consider a smart community system that will integrate several subsystems of a physical region such as water distribution, local drainage, buildings and energy, and enable a range of services to the inhabitants and resource managers of the region. Our initial testbed incorporates several buildings and laboratories at Carnegie Mellon University, Silicon Valley (CMUSV) and NASA Ames Sustainability Base and the instrumented, solar powered Next Generation Emergency Operation Center trailers . Please learn about our Smart Communities initiative by visiting our page about our invitational Kickoff Workshop , scheduled for Tuesday, June 19, 2012. Source Picture: E-JUST Permanent Campus Architectural Design Competition • 1stPlace -ArataIsozakiand Associates Co. LTD – Theme: Invisible complexities Provided by: Amr Eltawil Associate Professor Acting chairperson Industrial Engineering and Systems Management Egypt Japan University of Science and Technology P.O. box 179, New Borg El Arab City, Alexandria 21934, Egypt www.ejust.edu.eg Proud to be Egyptian! Competition Cooperation Value-cocreation Abstract Entity Interaction Outcome Universal QoL – Cultural Information Skills - Individuals Rules – Institutions (prime rate, tax rate) Tech – Infrastrucute (Societal Knowledge Burden)
This talk will covers three topics: A stimulus, a response, and an evolution Stimulus: Service Growth (for the World and IBM) Response: Service Science Priorities (from the Cambridge University report and the Arizona State University report) Evolution: Service science for a Smarter Planet – tries to answer a series of questions - What is smarter planet - What improves quality-of-life - What is a service system? What is service science? - What’s the skills goal? - Where are projects happening? - Where is the science? Today, at IBM we are applying service science to help build a Smarter Planet, one that is instrumented, interconnected, and intelligent through better decision-making from improved analytics and models of complex service system networks. We are working together with government, academics, and industry partners to build Smarter Cities in a growing number of developed and emerging nations around the world.
This slides was created by IBM GMU External Relations For information or queries about this presentation please contact: Megan Rosier , Manager, GMU External Relations – [email_address] Karen Davis , Director, GMU External Relations – [email_address]
This slides was created by IBM GMU External Relations For information or queries about this presentation please contact: Megan Rosier , Manager, GMU External Relations – [email_address] Karen Davis , Director, GMU External Relations – [email_address]
This slides was created by IBM GMU External Relations For information or queries about this presentation please contact: Megan Rosier , Manager, GMU External Relations – [email_address] Karen Davis , Director, GMU External Relations – [email_address]
This slides was created by IBM GMU External Relations For information or queries about this presentation please contact: Megan Rosier , Manager, GMU External Relations – [email_address] Karen Davis , Director, GMU External Relations – [email_address] So how did we do in 2011....(talk through the results) The results show that IBM is growing its footprint across the Growth Markets by continuing to deliver creative solutions to very complex challenges. We are helping governments and organisations integrate systems and services where they have never before (banking sector, CEE; cities and their services Our business analytics solutions helped our clients leverage massive amounts of data and content to gain insight and optimize results. This year, business analytics grew 16 percent. Our Smarter Planet initiatives generated close to 50 percent growth. Smarter Commerce in particular is gaining momentum by helping companies buy, market, sell and service their products and services. We’re not just addressing an existing market, we’re actually making markets. In cloud, we’re helping our clients improve the economics of IT. This year, we continued to expand our offerings, and our cloud revenue in 2011 was more than three times the prior year. With powerful contribution from these growth initiatives, we delivered 7 percent revenue growth. Our belief is that the opportunities for growth to continue in 2012 is significant, despite the predictions of slowing GDP and increasing tensions (financial and political) in parts of the world
This slides was created by IBM GMU External Relations For information or queries about this presentation please contact: Megan Rosier , Manager, GMU External Relations – [email_address] Karen Davis , Director, GMU External Relations – [email_address]
This slides was created by IBM GMU External Relations For information or queries about this presentation please contact: Megan Rosier , Manager, GMU External Relations – [email_address] Karen Davis , Director, GMU External Relations – [email_address]
Both individual people and institutions/organizations are learning… this is the vision of the educational continuum… http://www-935.ibm.com/services/us/gbs/bus/html/education-for-a-smarter-planet.html
Ready for Life-Long-Learning Ready for Teamwork Ready to Help Build a Smarter Planet T-shaped people are ready for Teamwork – they are excellent communicators, with real world experience, and deep (or specialized) in at least one culture, one discipline and one systems area, but with good team work skills interacting with others who are deep in other cultures, disciplines and systems areas. Also, T-shaped professionals also make excellent entrepreneurs, able to innovate with others to create new technology, business, and societal innovations. T-shaped people are adaptive innovators, and well prepared for life-long learning in case they need to become deep in some new area… they are better prepared than I-shaped people, who lack the breadth. Therefore, IBM and other public and private organizations are looking to hire more of this new kind of skills and experience profile – one that is both broad and deep.. These organizations have been collaborating with universities around the world to establish a new area of study known as service science, management, engineering, and design (SSMED) – to prepare computer scientists, MBAs, industrial engineers, operations research, management of information systems, systems engineers, and students of many other discipline areas – to understand better how to work on multidisciplinary teams and attack the grand challenge problems associated with improving service systems…
The evolution of service science is to apply service science to create a Smarter Planet. What is smarter planet? A smarter planet is built out of many harmonized smarter systems, systems that are instrumented, interconnected, and intelligent (data, models, and analytics software are used to make better decisions) The world is instrumented meaning everything has computers, cameras, gps or other sensors – cars, stop lights, signs, roads, hospitals, retail stores, rivers, bridges, etc.. The world is getting more and more interconnected. If we could capture the right data and analyze it, we can make our planet smarter. IBM has been working on cleaning up pollution in Galway Bay, Ireland. The marine scientists told the IBMers that the mussels in the water close their shells when something bad enters the water. So IBM put sensors in some of the mussels and connected the sensors to an alert system and visualization system. When a pollutant enters the water, the mussels shut their shells, the sensors sends an alert and water management officials begin to take action to clean it up. Over time, they realize that a particular ship may be coming into the bay every other Tuesday, causing the problem, and they can go after the ship company to not drop pollutants or to find another way to rid of waste. This optimization takes place with other causes of the pollutants.
What improves quality of life? Service system innovations. Every day we are customers of 13 types of service systems. If any of them fail, we have a “bad day” (Katrina New Orleans) I have been to two service science related conferences recently, one in Japan on Service Design and one in Portugal on Service Marketing… the papers from the proceedings of the conferences mapped onto all of these types of service systems… The numbers in yellow: 61 papers Service Design (Japan) / 75 papers Service Marketing (Portugal) / 78 Papers Service-Oriented Computing (US) Number in yellow Fist number: Service Design Conference, Japan 2 nd International Service Innovation Design Conference (ISIDC 2010), Future University Hakodate, Japan Second number Service Marketing Conference, Portugal, AMA SERVSIG at U Porto, Portugal Numbers in yellow: Number of AMA ServSIG 2010 abstracts that study each type of service system… (http://www.servsig2010.org/) Of 132 total abstracts… 10 studies all types of service systems 19 could not be classified In a moment we will look at definitions of quality of life, but for the moment, consider that everyday we all depend on 13 systems to have a relatively high quality of life, and if any one of these systems goes out or stops providing good service, then our quality of life suffers…. Transportation, Water, Food, Energy, Information, Buildings, Retail, Banking & Financial Services (like credit cards), Healthcare, Education, and Government at the City, State, and National levels…. Volcanic ash, hurricanes, earthquakes, snow storms, floods are some of the types of natural disasters that impact the operation of these service systems – but human made challenges like budget crises, bank failures, terrorism, wars, etc. can also impact the operation of these 13 all important service systems. Moreover, even when these systems are operating normally – we humans may not be satisfied with the quality of service or the quality of jobs in these systems. We want both the quality of service and the quality of jobs in these systems to get better year over year, ideally, but sometimes, like healthcare and education, the cost of maintaining existing quality levels seems to be a challenge as costs continue to rise… why is that “smarter” or sustainable innovation, which continuously reduces waste, and expands the capabilities of these systems is so hard to achieve? Can we truly achieve smarter systems and modern service? A number of organizations are asking these questions – and before looking at how these questions are being formalized into grand challenge questions for society – let’s look at what an IBM report concluded after surveying about 400 economists…. ==================== Quality of life for the average citizen (voter) depends on the quality of service and quality of jobs in 13 basic systems….. Local progress (from the perspective of the average citizen or voter) can be defined for our purposes as (quality of service & jobs) + returns (the provider, which is really the investor perspective, the risk taker in provisioning the service) + security (the authority or government perspective on the cost of maintaining order, and dealing with rules and rule violations) + smarter (or the first derivative – does all this get better over time – parents often talk about wanting to help create a better world for their children - sustainable innovation, means reducing waste, being good stewards of the planet, and expanding our capabilities to do things better and respond to challenges and outlier events better)…. Without putting too fine a point on it, most of the really important grand challenges in business and society relate to improving quality of life. Quality of life is a function of both quality of service from systems and quality of opportunities (or jobs) in systems. We have identified 13 systems that fit into three major categories – systems that focus on basic things people need, systems that focus on people’s activities and development, and systems that focus on governing. IBM’s Institute for Business Value has identified a $4 trillion challenge that can be addressed by using a system of systems approach. Employment data… 2008 http://www.bls.gov/news.release/ecopro.t02.htm A. 3+0.4+0.5+8.9+1.4+2.0=16.2 B. C.13.1+1.8=14.9 Total 150,932 (100%) Transportation (Transportation and Warehousing 4,505 (3%)) Water & Waste (Utilities 560 (0.4%)) Food & Manufacturing (Mining 717 (0.5%), Manufacturing 13,431 (8.9%), Agriculture, Forestry, Fishing 2,098 (1.4%)) Energy & Electricity Information (Information 2,997 (2%)) Construction (Construction 7,215 (4.8%)) Retail & Hospitality (Wholesale Trade 5,964 (4.0%), Retail Trade 15,356 (10.2%), Leisure and hospitality 13,459 (8.9%)) Financial & Banking/Business & Consulting (Financial activities 8,146 (5.4%), Professional and business services 17,778 (11.8%), Other services 6,333 (4.2%)) Healthcare (Healthcare and social assistance 15,819 (10.5%) Education (Educational services 3,037 (2%), Self-employed and unpaid family 9,313 (6.2%), Secondary jobs self-employed and unpaid family 1,524 (1.0%)) City Gov State Gov (State and local government 19,735 (13.1%)) Federal Gov (Federal government 2,764 (1.8%))
Researchers at University of Cambridge hosted industry and academic service researchers to create a framework for service innovation success… The framework is outlined in five columns – service innovation is the priority, we need to study service systems and networks, we call this study service science, and multiple stakeholders have to align to advance service science, and double investment in service research and education by 2015. You can read the complete report at the following URL: http://www.ifm.eng.cam.ac.uk/ssme/ To ensure we are making progress, we need to see how much government, academia, and industry are investing in service research and innovation. IfM and IBM (2008). Succeeding through service innovation: A service perspective for education, research, business and government. Cambridge, UK: University of Cambridge Institute for Manufacturing.
http://www.engineeringchallenges.org/ And the NAE’s Engineering Grand Challenge problems include – making solar energy economical – which fits into category 4. Smarter Energy… there are at least two NAE grand challenges that related to 10. Smarter Education systems – Advance personalized learning and Engineer the tools of scientific discovery… one might also want to include enhance virtual reality and reverse engineer the brain – and I included those under 5. Smarter Information systems… the point is that solving any one of these 14 NAE grand challenge problems has the potential to have significant impact on one or more of the 13 systems that we all depend on every day for quality of life… And so now would be a good time to say a little bit more about the component measurements and the challenges of defining quality of life…
As we think about the future of cities and universities, as an optimist, I see future cities and universities better than they are today… what IBM calls a Smarter Planet is such a vision -- today cities and universities sustain our high quality of living on the planet -- we believe they do an even better job in the future – in future cities and universities, we can all do a better job of applying, creating, and transferring knowledge generation over generation… http://www.measureofamerica.org/docs/APortraitOfCA.pdf In a recent survey of young Californians, 90% said internet access was essential for a high quality of life, and 50% said access to a smart phone was essential for a high quality of life. Some would say that the middle-class person today lives better than king’s did a thousand years ago… perhaps that is true in terms of material comforts… and in 1836 Nathan Rothschild the richest many in the British Empire, perhaps the world died of an infected abscess… http://en.wikipedia.org/wiki/Nathan_Mayer_Rothschild By the time an infected abscess caused his death in 1836, his personal net worth amounted to 0.62% of British national income.
There are many visions of the future – and many show innovations that improve quality of life… by improving the way we interact to co-create value with others… http://www.youtube.com/watch?v=6Cf7IL_eZ38 http://www.youtube.com/watch?v=jZkHpNnXLB0
In the future, robots will build and recycle whole buildings in a matter of hours. Already at Dongting lake in the Hunan Province in China, the Broad group has used prefab architecture to construct a 30 story building in 15 days (360 hours). When robots are used for construction and recycling, it will be even faster and more cost efficient. The building was stronger, safer, and more energy efficient than previous Broad group hotels. We often think of resiliency as the ability to recover very quickly, after a natural disaster or other external shock to a system. In the future resiliency will be more about rebuilding and recycling quickly to take advantage of newer and better materials, and ways of doing things. The external shocks to the system will more often than not be new innovations, not natural disasters… Headline: 30 stories in 15 days (story on Jan 10 th 2012 – built on Dec 31 2011) http://www.huffingtonpost.com/2012/01/10/30-story-hotel-constructed-in-15-days_n_1197991.html
Imagine cars and other products, being part of local physical supply chains. Manufacturing as a local recycling and assembly service Headline: TEDx Boston, Ryan Chin Urban Mobility (July 28, 2009) http://tedxboston.org/speaker/chin
In the future, robots will drive most of the cars – faster, safer, and more economically than people can. Of course, the future is already here, it is just not well distributed. The state of Nevada was the first state to allow self-driving vehicles to legally drive on their roads, as of June 22, 2011. http://www.forbes.com/sites/alexknapp/2011/06/22/nevada-passes-law-authorizing-driverless-cars/ Headline: Robot Car Helps Blind Man Get a Taco March 29th, 2012 http://www.robotshop.com/blog/robot-car-helps-blind-man-get-a-taco-1564 Self-Driving Car Test – Steve Mahan
Transportation is essential for flows and buildings are essential for human development Headline: TEDx Boston, Ryan Chin Urban Mobility (July 28, 2009) http://tedxboston.org/speaker/chin
Cities are about 2% of the land area, with 50% of the popuoation and 75% of the energy consumption, and 80% of the carbon emissions, according to Carolo Ratti who heads MIT Senseable Cities at MIT Media Lab. Of course, while the buildings and transportation in cities are important – what is really important are the people…. Headline: TED talk: Carlo Ratti (MIT) Architecture that senses and resonds http://www.ted.com/talks/carlo_ratti_architecture_that_senses_and_responds.html
Service systems and knowledge access evolving Nested, networked holistic product-service systems that provide “Whole Service” to the people-inside Source: Whole Service http://www.service-science.info/archives/1056 Source: Third Stream http://www2.lse.ac.uk/economicHistory/Research/CCPN/pdf/russell_report_thirdStream.pdf
What are the largest and smallest service system entities that have the problem of interconnected systems? Holistic Service Systems like nations, states, cities, and universities – are all system of systems dealing with flows, development, and governance. =============\\ Nations (~100) States/Provinces (~1000) Cities/Regions (~10,000) Educational Institutions (~100,000) Healthcare Institutions (~100,000) Other Enterprises (~10,000,000) Largest 2000 >50% GDP WW Families/Households (~1B) Persons (~10B) Balance/Improve Quality of Life, generation after generation GDP/Capita Quality of Service Customer Experience Quality of Jobs Employee Experience Quality of Investment-Opportunities Owner Experience Entrepreneurial Experience Sustainability GDP/Energy-Unit % Fossil % Renewable GDP/Mass-Unit % New Inputs % Recycled Inputs
Because nations compete and cooperate, they can be studied as abstract entities (service systems) learning to apply knowledge to co-create value with other nations. Why service scientists are interested in universities…. They are in many ways the service system of most central importance to other service systems… Graph based on data from Source: http://www.arwu.org/ARWUAnalysis2009.jsp Analysis: Antonio Fischetto and Giovanna Lella (URome, Italy) students visiting IBM Almaden Dynamic graphy based on Swiss students work: http://www.upload-it.fr/files/1513639149/graph.html US is still “off the chart” – China projected to be “off the chart” in less than 10 years: US % of WW Top-Ranked Universities: 30,3 % US % of WW GDP: 23,3 % Correlating Nation’s (2004) % of WW GDP to % of WW Top-Ranked Universities US is literally “off the chart” – but including US make high correlation even higher: US % of WW Top-Ranked Universities: 33,865 % US % of WW GDP: 28,365 %
Before we talk about the future of technology…. We should remember rules matter a lot too…. How we design systems matters….. Both how we design the technology & the rules (or institutions we live in) matters a lot… It matters for four key measures of systems – innovativeness, equity, sustainability, and resiliency… Societal performance on these four measures depends on technology (infrastructure), rules (institutions), skills (individuals), and what we value interms of quality of life (information)… Why are these people smiling? Every year NFL (National Football League) teams select the best new college players who indicate they are eligible for the NFL Draft…. Stanford’s quarterback Andrew Luck is one the best from 2011 What’s interesting is the Indianapolis Colts, the team he will play for the next decade, is one of the worst Source: http://www.rgj.com/viewart/20120426/SPORTS/304260061/NFL-draft-Colts-take-Stanford-QB-Andrew-Luck-open-draft http://en.wikipedia.org/wiki/National_Football_League_Draft
However, it is also arguable that universities are important for resiliency… Source: http://www.nyu.edu/about/leadership-university-administration/office-of-the-president/redirect/speeches-statements/global-network-university-reflection.html
Permission to re-distribute granted by Jim Spohrer – please request via email (spohrer@us.ibm.com) This talk provided a concise introduction to SSME+D evolving, and applying Service Science to build a Smarter Planet… Reference content from this presentation as: Spohrer, JC (2010) Presentation: SSME+D (for Design) Evolving: Update on Service Science Progress & Directions. Event. Place. Date. Permission to redistribute granted upon request to spohrer@us.ibm.com But I want to end by sharing some relevant quotes… The first you may have seen on TV or heard on the radio – it is from IBM – Instrumented, Interconnected, Intellient – Let’s build a smarter planet (more on this one shortly) Second, If we are going to build a smarter planet, let’s start by building smarter cities, (as we will see cities turn out to be ideal building blocks to get right for a number of reasons) And if we focus on cities, then the quote from the Foundation Metropolitan paints the right picture, cities learning from cities learning from cities… The next is probably the best known quote in the group “think global, act local” (we will revisit this important thought) Since all the major cities of the world have one or more universities, the next quote is of interest “the future is born in universities” And two more well known quotes about the future – the best way to predict the future is to build it, and the future is already here… it is just not evenly distributed. The next quote is an important one for discipline specialists at universities to keep in mind – real-world problems may not respect discipline boundaries (so be on guard for myopic solutions that appear too good to be true, they often are!)… Because if we are not careful, today’s problems may come from yesterday’s solutions… And since we cannot anticipate all risks or quickly resolve them once we notice them, we should probably never forget what HG Wells said - that history is a race between education and catastrophe… In a world of accelerating change, this last statement also serves as a reminder that the pace of real innovation in education is a good target for study in terms of smarter systems and modern service…
The reasonable questions: What is a service system? What is service science?
There are many opportunities for educational institutions to specialize. Better tuned competence of individuals allows graduates to hit the ground running and better fill roles in business and societal institutions…. Better general education will allow more rapid learning of an arbitrary area of specialization, and create a more flexible labor force… All service systems transform something – perhaps the location, availability, and configuration of materials (flow of things), or perhaps people and what they do (people’s activities), or perhaps the rules of the game, constraints and consequences (governance). How to visualize service science? The systems-disciplines matrix… SSMED or service science, for short, provides a transdisciplinary framework for organizing student learning around 13 systems areas and 13 specialized academic discipline areas. We have already discussed the 13 systems areas, and the three groups (flows, human activity, and governing)… the discipline areas are organized into four areas that deal with stakeholders, resources, change, and value creation. If we have time, I have included some back-up slides that describes service science in the next level of detail. However, to understand the transdisciplinary framework, one just needs to appreciate that discipline areas such as marketing, operations, public policy, strategy, psychology, industrial engineering, computer science, organizational science, economics, statistics, and others can be applied to any of the 13 types of systems. Service science provides a transdisciplinary framework to organize problem sets and exercises that help students in any of these disciplines become better T-shaped professionals, and ready for teamwork on multidisciplinary teams working to improve any type of service system. As existing disciplines graduate more students who are T-shaped, and have exposure to service science, the world becomes better prepared to solve grand challenge problems and create smarter systems that deliver modern service. Especially, where students have had the opportunity to work as part of an urban innovation center that links their university with real-world problems in their urban environment – they will have important experiences to help them contribute to solving grand challenge problems. ================================================ SSMED (Service Science, Management, Engineering and Design) Systems change over their life cycle… what is inside become outside and vice versa In the course of the lifecycle… systems are merged and divested (fusion and fission) systems are insourced and outsourced (leased/contracted relations) systems are input and output (owner ship relations) SSMED standard should ensure people know 13 systems and 13 disciplines/professions (the key is knowing them all to the right level to be able to communicate and problem-solve effectively) Multidisciplinary teams – solve problems that require discipline knowledge Interdisciplinary teams – solve harder problems, because they create new knowledge in between disciplines Transdisciplinary teams – solve very hard problems, because the people know discipline and system knowledge Ross Dawson says “Collaboration drives everything” in his talk about the future of universities… https://deimos.apple.com/WebObjects/Core.woa/BrowsePrivately/griffith.edu.au.3684852440
The Up-Skill Cycle People flow through the system of entities… As they flow they are upskilled…. Entities: Mature IBM Business Unit: From mature-business unit Acquired-IBM Business Unit: From IBM “acquired company” business unit University: From university role Venture: From venture that spun off from a university Other: None of the above One possible path A long-time IBMer is in an IBM business unit doing, say “finance” The IBMer’s business unit receives the 5% annual budget cut The IBMer moves to a new IBM acquisition to help the new acquisition adopt/learn IBM finance procedures After that the IBMer moves to a university as an IBMer on Campus The IBMer might work in a department/discipline, in the university incubator, or a university start-up, or even be a student at the university Eventually the IBMer signs up to be pat of a new venture that is spinning off from the university The new venture is aligned with IBM via HW, SW, or other IBM offerings/strategy IBM helps scale up the new venture global IBM might decide to acquire the new venture The IBM in the acquired new venture helps the new venture become a high growth business unit of IBM After the new IBM business unit asymptotes on revenue and profit improves, it has become a mature business unit Now the IBMer is back in a mature business unit, and the cycle repeats… A long-time IBMer is in an IBM business unit doing, say “finance” The IBMer’s business unit receives the 5% annual budget cut Transitions: Self-loop IBMer stays in mature business unit IBMer transitions from mature business unit to a newly acquired IBM acquisition IBMer transitions from mature business unit to a university role IBMer transitions from mature business unit to a new venture that spun off from a university IBMer transitions from mature business unit to an entity not mentioned above (some where else)
Universities connect information flows between other HSS, cities, states, nations Local optimizations can spread quickly to other HSS… Top 3000 cities: http://www.mongabay.com/cities_pop_02.htm Of course the opportunity is not just local – while local innovation impact the lives of staff, faculty, students and their families most directly – as cities partner more (twin city and sister city programs) and as universities also establish global collaborations with campuses in other regions of the world – the opportunity for better city-university partnerships is both local and global.
Service system entities learn to systematically exploit info & tech Learning Systems – Choice and Change Do = operate in comfort zone, applying existing knowledge Copy = to be the best, learn from the rest Invent = double monetize from internal use and external sales Add Rickets “Reaching the Goal” for Internal-External-Interaction Constraints. Explain Incremental-Radical-Super-Radical in terms of units (scientific measurement) For more on Exploitation-Exploration see below.. http://sonic.northwestern.edu/wp-content/uploads/2011/03/Keynote-Watts_Collective_Problems.pdf Lavie D & L Rosenkopf (2006) BALANCING EXPLORATION AND EXPLOITATION IN ALLIANCE FORMATION, The Academy of Management Journal, 49(4). 797-818. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.123.8271&rep=rep1&type=pdf “ Pressures for exploration. Whereas inertia drives firms’ tendencies to exploit, absorptive capacity facilitates counter pressures by furnishing the mechanism via which firms can identify the need for and direction of exploratory activities. Exploration is guided not only by inventing but also by learning from others (Huber, 1991; Levitt & March, 1988) and by employing external knowledge (March & Simon, 1958). Absorptive capacity, defined as the ability to value, assimilate, and apply external knowledge (Cohen & Levinthal, 1990), helps firms identify emerging opportunities and evaluate their prospects, thus enhancing exploration. It adjusts firms’ aspiration levels, so that they become attuned to learning opportunities and more proactive in exploring them. Indeed, prior research has demonstrated how absorptive capacity enhance organizational responsiveness and directs scientific and entrepreneurial discovery (Deeds, 2001; Rosenkopf & Nerkar, 2001). It also increases the likelihood of identifying external opportunities and can therefore lead to exploration in one or more domains of alliance formation.” For more on Run-Transform-Innovate see below… When I asked how he measures the performance and effectiveness of IBM's IT team, Hennessy pointed to its "run-to-transform" ratio. IBM's IT department is divided into three groups: a "run" organization that's responsible for keeping systems running smoothly; a "transform" team focused on business-process simplification and other business transformation; and an "innovate" unit that pursues leading-edge technology initiatives. Hennessy reports to Linda Sanford, IBM's senior VP of on-demand transformation and IT. Practicing what it preaches, IBM doesn't think of its IT organization as being merely an IT department. "We call it BT and IT," Hennessy says, giving business transformation equal billing to the software, systems, and services side of its mission. http://www.informationweek.com/blog/main/archives/2009/04/ibm_cio_turns_d.html IBM CIO's Strategy: Run, Transform, Innovate Posted by John Foley on Apr 30, 2009 11:05 AM Like other CIOs, IBM's Mark Hennessy knows that a dollar saved on data center operations is a dollar earned for business-technology innovation. IBM has moved the dial on its IT budget 10 percentage points toward innovation in recent years, and Hennessy says there are still more operational efficiencies to be gained.I sat down with Hennessy for more than an hour recently in New York to talk about how he has adapted to being a CIO. A 25-year IBM veteran, he took over as CIO about 18 months ago, having spent most of his career on the business side, in sales, marketing, finance, and, most recently, as general manager of IBM's distribution sector, which works with clients in the retail, travel, transportation, and consumer products industries. Hennessy's IT team supports the company's strategy in three broad ways: by running and optimizing IBM's internal IT operations, by working with IBM business units in support of their objectives, and by facilitating company-wide collaboration, innovation, and technology requirements across 170 countries. In times past, IBM had as many as 128 different CIOs across its businesses. These days--in support of CEO Sam Palmisano's strategy of establishing a global, integrated enterprise--it has only one, and Hennessy is it. When I asked how he measures the performance and effectiveness of IBM's IT team, Hennessy pointed to its "run-to-transform" ratio. IBM's IT department is divided into three groups: a "run" organization that's responsible for keeping systems running smoothly; a "transform" team focused on business-process simplification and other business transformation; and an "innovate" unit that pursues leading-edge technology initiatives. A few years ago, IBM was spending 73% of its IT budget on keeping systems and services running and 27% on innovation. This year, its run-to-transform ratio will hit 63%-37%. Roughly speaking, IBM is shifting an additional 2% of its IT budget from run to innovation each year, and Hennessy has every expectation that his group will continue moving the ratio in that direction. "I don't see an end in sight," he says. In fact, Hennessy says that IBM's run-to-innovation ratio has improved more this year than last. "So it's actually accelerating for us," he says. Where do the efficiencies come from? The same place other CIOs find them. Server virtualization, data center consolidation (IBM has consolidated 155 data centers down to five), energy savings, applications simplification (from 15,000 apps to 4,500 apps), end user productivity, organizational collaboration, shifting skills globally, and business-process simplification. IBM has internal IT projects underway now in the areas of its supply chain, finance, workforce management, and order-to-cash processes. Hennessy reports to Linda Sanford, IBM's senior VP of on-demand transformation and IT. Practicing what it preaches, IBM doesn't think of its IT organization as being merely an IT department. "We call it BT and IT," Hennessy says, giving business transformation equal billing to the software, systems, and services side of its mission.
In the Handbook of Service Science, and other publications, we have layed out the conceptual foundations of service science – the first approximation of terms we believe every service scientist should know… The world view is that of an ecology of service-system-entities. Ecology is the study of the populations of entities, and their interactions with each other and the environment Types of Service System Entities, Interactions, and Outcomes is what a service scientist studies. Service systems include: Person, Family/Household, Business, Citiy, Nation, University, Hospital, Call-Center, Data-Center, etc. – any legal entity that can own property and be sued We see that Resources (People, Technology, Information, Organizations) and Stakeholder (Customers, Providers, Authorities, Competitors) are part of the conceptual framework for service science.
In conclusion, let’s consider the big picture – starting with the big bang…. and evolution of the earth, life on earth, human life, cities, universities, and the modern world… the evolution of observed hierarchical-complexity Age of natural systems (age of the universe): Big Bang http://en.wikipedia.org/wiki/Age_of_the_universe Age of urban systems (age of complex human-made world): Oldest city http://en.wikipedia.org/wiki/List_of_cities_by_time_of_continuous_habitation (end of last Ice Age was about 20,000 years ago, about 5 million people on earth by 10,000 years ago) http://www.ncdc.noaa.gov/paleo/ctl/100k.html (last Ice Age was probably started about 70,000 years ago when a super volcano erupted blocking sun light) Many people still ask -- where is the science in the “Service Science?” One answer is that the science is hidden away in each of the component disciplines that study service systems, scientifically from their particular perspective… However, the big picture answer is “Ecology” - Ecology is the study of the abundance and distribution of entities (populations of things) in an environment… and how the entities interact with each other and their environment over successive generations of entities. The natural sciences (increasingly interdisciplinary) study the left side, using physics, chemistry, and biology Service science (originated as interdisciplinary) studies the right side, using history, economics, management, engineering, design, etc. Service science is still a young area, but from the growth of service in nations and businesses to the opportunity to apply service science to build a smarter planet, innovate service systems, and improve quality of life… it is an emerging science with bright future, and yes… it will continue to evolve : - ) Most people think of ecology in terms of living organisms, like plants and animals in a natural environment. However, the concept of ecology is more general and can be applied to entities as diverse as the populations of types of atoms in stars to the types of businesses in a national economy. I want to start my talk today on “service,” by first thinking broadly about ecologies of entities and their interactions. Eventually, we will get to human-made service system entities and human-made value-cocreation mechanisms… but for today, let’s really start at the very beginning – the big bang. About 14B years ago (indicated by the top of this purple bar), our universe started with a big bang. And through a process of known as fusion, stars turned populations of lighter atoms like hydrogen into heavier atoms like helium, and when stars of a certain size have done all the fusion they could, they would start slowing down, and eventually collapse rapidly, go nova, explode and send heavier atoms out into the universe, and eventually new stars form, and the process repeats over and over, creating stars with different populations of types of atoms, including heavier and heavier elments. So where did our sun and the earth come from…. Eventually after about ten billion years in the ecology of stars and atoms within stars, a very important star formed our sun (the yellow on the left) – and there were plenty of iron and nickel atoms swirling about as our sun formed, and began to burn 4.5B years ago, and the Earth formed about 4.3B years ago (the blue on the left)… In less than a billion years, the early earth evolved a remarkable ecology of complex molecules, including amino acids, and after less than a billion years, an ecology of bacteria took hold on early earth (the bright green on the left). The ecology of single cell bacteria flourished and after another billion years of interactions between the bacteria, the first multicellular organisms formed, and soon the ecology of sponges (the light blue on the left) and other multi-cellular entities began to spread out across the earth. Then after nearly two billion years, a type of division of labor between the cells in multicelluar organism lead to entities with cells acting as neurons in the first clams (the red on the left), and these neurons allowed the clams to open and close at the right time. After only 200 million years, tribolites appeared the first organisms with dense neural structures that could be called brains appeared (the black on the left), and then after about 300 million years, multicelluar organisms as complex as bees appeared (the olive on the left), and these were social insects, with division of labor among individuals in a population, with queens, drones, worker bees. So 200 million years ago, over 13B years after the big bang, the ecology of living entities is well established on planet earth, including social entities with brains and division of labor between individuals in a population…. Living in colonies that some have compared to human cities – where thousands of individuals live in close proximity and divide up the work that needs to be done to help the colony survive through many, many generations of individuals that come and go. Bees are still hear today. And their wingless cousins, called ants, have taken division of labor to incredible levels of complexity in ant cities in nearly every ecological niche on the planet, except under water. Now let’s look at the human ecology,and the formation of service system entities and value-cocreation mechanisms, a small portion of which is represented by the colored bar on the right. Recall bees appeared about 200 million years ago, a small but noticeable fraction of the age of the universe. Now take 1% of this little olive slice, which is 2 million years… that is how long people have been on earth, just one percent of this little olive slice here. What did people do in most of that 2million years? Basically, they spread out to every corner of the planet, and changed their skin color, eye colors, and hair colors, they spread out and became diverse with many different appearances and languages. It took most of that 200 millions just to spread out and cover most of the planet with people. When there was no more room to spread out the density of people in regions went up…. Now take 1% of that 2million years of human history which basically involved spreading out to every corner of the planet and becoming more diverse, recall ecology is the study of abundance and distribution and types of interactions, and 1% of that 2million years is just 20,000 years, and now divide that in half and that represents 10,000 years. The bar on the right represents 10,000 years or just 500 generations of people, if a generation is about 20 years. 500 generations ago humans built the first cities, prior to this there were no cities so the roughly 5M people spread out around the world 0% lived in cities, but about 500 generations ago the first cities formed, and division of labor and human-made service interactions based on division of labor took off – this is our human big bang – the explosion of division of labor in cities. Cities were the big bang for service scientists, because that is when the diversity of specialized roles and division of labor, which is at the heart of a knowledge-based service economy really begins to take off... So cities are the first really important type of human-made service system entities for service scientists to study, the people living in the city, the urban dwellers or citizens are both customers of and providers of service to each other, and division of labor is the first really important type of human-made value-cocreation mechanism for service scientists to study. (Note families are a very important type of service system entity, arguably more important than cities and certainly much older – however, family structure is more an evolution of primate family structure – and so in a sense is less of a human-made service system entity and more of an inherited service system entity… however, in the early cities often the trades were handed down father to son, and mother to daughter as early service businesses were often family run enterprises in which the children participated – so families specialized and the family names often reflect those specialization – for example, much later in England we get the family names like smith, mason, taylor, cooper, etc.) So to a service scientist, we are very excited about cities as important types of service system entities, and division of labor as an important type of value-cocreation mechanism, and all this really takes off in a big way just 500 generations ago when the world population was just getting to around 5M people spread out all around the world – so 10,000 years about about 1% of the worlds population was living in early versions of cities. It wasn’t until 1900 that 10% of the world’s then nearly 2B people lived in cities, and just this last decade that 50% of the worlds 6B people lived in cities, and by 2050 75% of the worlds projected 10B population will be urban dwellers. If there is a human-made service system that we need to design right, it is cities. It should be noted that the growth of what economist call the service sector, parallels almost exactly the growth of urban population size and increased division-of-labor opportunities that cities enable – so in a very real sense SERVICE GROWTH IS CITY GROWTH OR URBAN POPULATION GROWTH… in the last decade service jobs passed agriculture jobs for the first time, and urban dwellers passed rural dwellers for the first time. But I am starting to get ahead of myself, let’s look at how the human-made ecology of service system entities and value-cocreation mechanisms evolved over the last 10,000 years or 500 generations. The population of artifacts with written language on them takes off about 6000 years ago or about 300 generations ago (the yellow bar on the right). Expertise with symbols helped certain professions form – and the first computers were people writing and processing symbols - scribes were required, another division of labor – so the service of reading and writing, which had a limited market at first began to emerge to help keep better records. Scribes were in many ways the first computers, writing and reading back symbols – and could remember more and more accurately than anyone else. Written laws (blue on right) that govern human behavior in cities takes off about 5000 years ago – including laws about property rights, and punishment for crimes. Shortly there after, coins become quite common as the first type of standard monetary and weight measurement system (green on right). So legal and economic infrastructure for future service system entities come along about 5000 years ago, or 250 generations ago, with perhaps 2% of the population living in cities…. (historical footnote: Paper money notes don’t come along much until around about 1400 years ago – bank notes, so use of coins is significantly older than paper money, and paper money really required banks as service system entities before paper money could succeed.). About 50 generations ago, we get the emergence of another one of the great types of service system entities – namely universities (light blue line) – students are the customers, as well as the employers that need the students. Universities help feed the division of labor in cities that needed specialized skills, including the research discipline skills needed to deepen bodies of knowledge in particular discipline areas. The red line indicates the population of printing presses taking off in the world, and hence the number of books and newspapers. This was only about 500 years or 25 generations ago. Now university faculty and students could more easily get books, and cities began to expand as the world’s population grew, and more cities had universities as well. The black line indicates the beginning of the industrial revolution about 200 years ago, the sream engine, railroads, telegraph and proliferation of the next great type of service system entity – the manufacturing businesses - that benefited from standard parts, technological advances and scale economies, and required professional managers and engineers. About 100 years ago, universities began adding business schools to keep up with the demand for specialized business management skills, and many new engineering disciplines including civil engineering, mechanical engineering, chemical engineering, and electrical engineering, fuel specialization and division of labor. By 1900, just over 100 years ago, or 5 generations ago 10% of the worlds population, or about 200 million people were living in cities and many of those cities had universities or were starting universities. Again fueling specialization, division of labor, and the growth of service as a component of the economy measured by traditional economists. Finally, just 60 years ago or 3 generations ago, the electronic semiconductor transistor was developed (indicated by the olive colored line on the right), and the information age took off, and many information intensive service activities could now benefit from computers to improve technology (e.g., accounting) and many other areas. So to recap, cities are one of the oldest and most important type of service system and universities are an important and old type of service system, as well as many types of businesses. Service science is the study of service system entities, their abundance and distribution, and their interactions. Division of labor is one of the most important types of value cocreation mechanisms, and people often need specialized skills to fill roles in service systems. Service science like ecology studies entities and their interactions over successive generations. New types of human-made service system entities and value-cocreation mechanisms continue to form, like wikipedia and peer production systems. Age of Unvierse (Wikipedia) The age of the universe is the time elapsed between the Big Bang and the present day. Current theory and observations suggest that the universe is 13.75 ±0.17 billion years old. [1] Age of Sun The Sun was formed about 4.57 billion years ago when a hydrogen molecular cloud collapsed. [85] Solar formation is dated in two ways: the Sun's current main sequence age, determined using computer models of stellar evolution and nucleocosmochronology , is thought to be about 4.57 billion years. [86] This is in close accord with the radiometric date of the oldest Solar System material, at 4.567 billion years ago. [87] [88] Age of Earth The age of the Earth is around 4.54 billion years (4.54 × 109 years ± 1%). [1] [2] [3] This age has been determined by radiometric age dating of meteorite material and is consistent with the ages of the oldest-known terrestrial and lunar samples . The Sun , in comparison, is about 4.57 billion years old , about 30 million years older. Age of Bacteria (Uni-cellular life) The ancestors of modern bacteria were single-celled microorganisms that were the first forms of life to develop on earth, about 4 billion years ago. For about 3 billion years, all organisms were microscopic, and bacteria and archaea were the dominant forms of life. [22] [23] Although bacterial fossils exist, such as stromatolites , their lack of distinctive morphology prevents them from being used to examine the history of bacterial evolution, or to date the time of origin of a particular bacterial species. However, gene sequences can be used to reconstruct the bacterial phylogeny , and these studies indicate that bacteria diverged first from the archaeal/eukaryotic lineage. [24] The most recent common ancestor of bacteria and archaea was probably a hyperthermophile that lived about 2.5 billion–3.2 billion years ago. [25] [26] Cities (Wikipedia) Early cities developed in a number of regions of the ancient world. Mesopotamia can claim the earliest cities, particularly Eridu, Uruk, and Ur. After Mesopotamia, this culture arose in Syria and Anatolia, as shown by the city of Çatalhöyük (7500-5700BC). Writing (Wikipedia) Writing is an extension of human language across time and space. Writing most likely began as a consequence of political expansion in ancient cultures, which needed reliable means for transmitting information, maintaining financial accounts, keeping historical records, and similar activities. Around the 4th millennium BC, the complexity of trade and administration outgrew the power of memory, and writing became a more dependable method of recording and presenting transactions in a permanent form [2] . In both Mesoamerica and Ancient Egypt writing may have evolved through calendrics and a political necessity for recording historical and environmental events. Written Law (Wikipedia) The history of law is closely connected to the development of civilization . Ancient Egyptian law, dating as far back as 3000 BC, contained a civil code that was probably broken into twelve books. It was based on the concept of Ma'at , characterised by tradition, rhetorical speech, social equality and impartiality. [81] [82] By the 22nd century BC, the ancient Sumerian ruler Ur- Nammu had formulated the first law code , which consisted of casuistic statements ("if ... then ..."). Around 1760 BC, King Hammurabi further developed Babylonian law , by codifying and inscribing it in stone. Hammurabi placed several copies of his law code throughout the kingdom of Babylon as stelae , for the entire public to see; this became known as the Codex Hammurabi . The most intact copy of these stelae was discovered in the 19th century by British Assyriologists, and has since been fully transliterated and translated into various languages, including English, German, and French. [83] Money (Wikipedia) Many cultures around the world eventually developed the use of commodity money . The shekel was originally both a unit of currency and a unit of weight. [10] . The first usage of the term came from Mesopotamia circa 3000 BC. Societies in the Americas, Asia, Africa and Australia used shell money – usually, the shell of the money cowry ( Cypraea moneta ) were used. According to Herodotus , and most modern scholars, the Lydians were the first people to introduce the use of gold and silver coin . [11] It is thought that these first stamped coins were minted around 650–600 BC. [12] Universities (Wikipedia) Prior to their formal establishment, many medieval universities were run for hundreds of years as Christian cathedral schools or monastic schools ( Scholae monasticae ), in which monks and nuns taught classes; evidence of these immediate forerunners of the later university at many places dates back to the 6th century AD. [7] The first universities were the University of Bologna (1088), the University of Paris (c. 1150, later associated with the Sorbonne ), the University of Oxford (1167), the University of Palencia (1208), the University of Cambridge (1209), the University of Salamanca (1218), the University of Montpellier (1220), the University of Padua (1222), the University of Naples Federico II (1224), the University of Toulouse (1229). [8] [9] Printing and Books (Wikipedia) Johannes Gutenberg's work on the printing press began in approximately 1436 when he partnered with Andreas Dritzehn—a man he had previously instructed in gem-cutting—and Andreas Heilmann, owner of a paper mill. [34] However, it was not until a 1439 lawsuit against Gutenberg that an official record exists; witnesses' testimony discussed Gutenberg's types, an inventory of metals (including lead), and his type molds. [34]
KPIs = Key Performance Indicators, the measures of service system performance Focus on service system resources, access rights, stakeholders (value propositions), and measures (KPIs) Calculating ROI and Success Rate for an industrial service research group 4 outstanding at $100M each and 11 accomplishments at $10M each = $510M business impact result in 7 years 2 outstanding at $100M each and 9 accomplishments at $10M each = $290M business impact result in 6 years 290M/8x ROI = 36M of base funding for 210 Person-years (36M/210 = $172K/person base funding level) 210 person years over six years = 10,20,40,50,50,40 (in year one there were 10 people, in year two 20 people, in year 3 40 people, etc.) Accomplishments (12 PY, 3-5 person, 2-4 years) = expected 12 PY (4 x 3) Outstanding (24 PY additional, 6-10 persons, 2-4 years) = additional 24 PY (8 x 3) = +24 is 12+24 = 36 So 2 outstandings take 36 (36 PY) and 9 accomplishments 12 (12 PY) = 2 * 36 + 9 x 12 = 72 + 108 = 180 (one could ask if this double counts on outstandings, since it pre-supposes and earlier accomplishment – in fact most accomplishments have more than $100M impact, so this is OK). 180/210 = 0.86 = 86% success rate (a big debate in research organizations is what should the success rate be – 100% success rate probably implies you are not taking enough risk, so learning/returns will not be maximized long-term) (put another way – solving really, really hard problems is not 100% guaranteed, but if they are solved they can pay enormous dividends; sometimes more so than simpler problems to solve) CBM = Component Business Model (Models of over 70 industries, decomposed into 100-200 business components/service systems, with associated KPIs) IDG = Intelligent Document Gateway (Process improvement workbench - process automation, business rules engines, authoring capability, document scan capability, etc.) SDM = Solution Design Manager (complex service offerings delivered globally are hard to describe, cost, price, and allow teams to collaboratively develop and iterate) BIW = Business Insight Workbench (unstructured text analytics, data mining, structured analytics, automatic taxonomy, trend analysis, co-occurrence statistics, etc.) COBRA = Corporate Brand Reputation Analysis (data mine blogs and customer service data, etc. for insights) SIMPLE = Patent Analytics (data mine patents and technical publications, etc. for insights) IoFT = Impact of Future Technologies (future studies method to identify signposts, and data mine for trends, etc.)
For example, we are all part of at least ten regional systems levels from our household to the world… Which level is most important for resiliency? Arguably the city… the level of population is enough to support “the knowledge burden of advanced technology” required for a high-quality of life
Our world can be thought of as a nested system of systems…. Sources http://en.wikipedia.org/wiki/Matryoshka_doll http://blog.teacollection.com/history-of-nesting-dolls http://en.wikipedia.org/wiki/Japanese_traditional_dolls “ Japanese wooden dolls were made to look like the Seven Lucky Gods from Japanese mythology. The outer most doll was Fukurokuju the Japanese god of happiness and longevity. He had an abnormally long forehead “
In today’s talk we will be thinking together about the future…. What is the future? We can imagine many possibilities… I show this for two reasons: - I believe computers will soon be helping policymakers and others explore future possibilities better - I want us to be thinking about resiliency of our systems in the future, and what are the weakest links in creating resilient cities and universities… what do we do if the computers go down, when we depend more and more on technology for a high quality of life? Source: http://www.kurzweilai.net/cartoon-what-is-the-meaning-of-life