Survey 20110930 v1

Editor's Notes

• #2: Reference content from this presentation as: Spohrer, JC (2011) Survey. Presentation to Foundation Roundtable on “Future Cities and Regions” Bankinter & Kauffman Foundation. September 30 th , 2011, Madrid Spain. Permission to redistribute granted upon request to spohrer@us.ibm.com
• #5: If you find it hard to get excited about building, I urge you to watch this YouTube… http://www.youtube.com/watch?v=Hm7MeZlS5fo It describes the Venetian Resort Hotel in Las Vegas as a City Within a City… Luxury hotels are complex buildings…. 60% of cost is labor to build them. California has laws that building materials must be re-cycled at end of life. Average life of a building is sixty years, but this is getting shorter and shorter… So robot construction and deconstruction could reduce the costs of buildings by 50% Imagine the Golden Gate Bridge being painted every 20 years or so, start at one end, repaint, and repaint… cables also get replaced… pieces get replaced, what if every 20 years the old material could be recycled, and modern materials could be replaced – what does this sound like – replacing cells in the human body of course… Luxury hotels are a little bigger HSS…. I recomment the video about IBM Maximo and the Venetian Hotel to see hotels as mini-cities… Source: Building Luxury Hotels http://www.docstoc.com/docs/1604634/How-Much-Does-it-Cost-to-Build-a-Hotel IBM Case Study: St. Regis Hotel Shanghai Only Intelligent Building among 33 five stars hotels in the region Designed at 5.1% energy cost to revenue, now at 4.9% ... all other 5 star hotels average 8% 40% reduced energy cost / revenue vs. other 5 Star hotels
• #6: http://en.wikipedia.org/wiki/List_of_countries_by_energy_consumption_per_capita The gigajoule (GJ) is equal to one billion (10**9) joules. Six gigajoules is about the amount of potential chemical energy in a barrel of oil, when combusted. 9 80 panels = 600 GJ per year from http://www.tradeslive.com/2011/01/11/solar-energy-power-hospitals-bc/ Tropical oceans get about about 600 trillion GJ per year of solar energy Since Earth’s population is roughly 10 billion, that is 100x more than if all people energy per capita at the highest national per capita levels… Several regions plan to experiment this decade with “beaming” energy to Earth via microwaves from space based solar collectors What is the capacity of an average laptop battery in GJ?
• #7: But before we begin, let’s go to chart 2 to illustrate a few facts about buildings that you may not be aware of. In 2008, The National Science and Technology Council in the US estimated that commercial and residential buildings consume 1/3 of the world’s energy; in North America this translates to 72% of the electric generation. That’s a very large number. And if this trend continues, by 2025, buildings worldwide will be the largest consumers of global energy , more than transportation and the industrial sectors combined. Also, up to 50% of the electricity and water used by buildings is wasted … another large number, and some might say very shocking…. And data centers - we IBMers are all very familiar with data centers. They are among the largest consumers of energy within a building – and their energy usage is doubling every five years. And when you consider that buildings are either the second or third largest expense on the income statement for most companies, it’s easy to understand the impact this waste is having on the bottom line, and it is also easy to understand why Smarter Buildings is a big idea, and why customers are showing a great interest in it …… =========================================================================== SOURCE MATERIALS: Statement: Worldwide, buildings consume 42% of all electricity – up to 50% of which is wasted. Buildings consume 42% of all electricity — more than any other type of physical asset. They generate 15% of all green-house gas emissions. In the United States, the numbers are even greater: buildings guzzle 72% of all energy, and produce 38% of green-house gas emissions. Source: IBM Smarter Buildings Survey, Customers Rank their Office Buildings , 2010, page 2 http://www-03.ibm.com/press/attachments/IBM_Smarter_Buildings_Survey_White_Paper.pdf Statement: Buildings lose as much as 1/2 of the water that flows into them. Source: IBM Smarter Buildings Survey, Customers Rank their Office Buildings , 2010, page 2 http://www-03.ibm.com/press/attachments/IBM_Smarter_Buildings_Survey_White_Paper.pdf Statement: Buildings are the number 1 contributor to global Co2 emissions. Source: Energy Information Administration (2006). Emissions of Green House Gases in the United States. In New York City, for example, buildings account for 64% of NYC’s Carbon Emissions. Source: http://www.nyc.gov/html/planyc2030/html/emissions/emissions_ourdata.shtml Statement: Energy costs alone represent about 30% of an office building’s total operating costs. Source: EPA, http://www.fypower.org/bpg/index.html?b=offices Statement: By 2025, buildings worldwide will become the top energy consumers. Federal R&D Agenda for Net-Zero Energy, High-Performance Green Buildings http://www.bfrl.nist.gov/buildingtechnology/documents/FederalRDAgendaforNetZeroEnergyHighPerformanceGreenBuildings.pdf Statement: According to studies by EPA energy cost represent up to 30% of OPEX cost. 79% ( 8 out of 10 rounded ) according to a recent IBM survey prefer to work in buildings that offer as part of the regular routine at work, to options to conserve resources such as water and electricity. The Carbon Disclosure Project estimates that 59 jurisdictions around the world are either have or are actively pursuing carbon mandates that will effect buildings. Statement: Second largest expense item Shttp://www.cbre.com/NR/rdonlyres/7509891F-A845-4B94-B630-2022BB2F2CE5/734095/WHITEPAPER_ReducingOccupanyCosts1.pdf Statement: Data center energy use doubling every 5 years . As IDC estimates, in this decade, the average customer will have increased their server capacity by six times and their average storage capacity by 69 times. As a result, all of those devices are using more energy, and we’ve seen the energy use in data centers double over the last five years. And that projected increase is expected to continue.
• #8: Now, let’s move to chart 3 and talk about some of the benefits of Smarter Buildings. Smarter buildings can reduce energy consumption by as much as 40%. The higher savings are typically achieved when implementing both physical enhancements, and real-time monitoring tools. Smarter Buildings can also reduce maintenance costs by 10 to 30%, and those numbers are based on real results derived by customers using Maximo to maintain their facilities. A recent study conducted by San Diego University found that LEED and Energy Star multi-tenant buildings have a higher occupancy rate of 91% and a sale price increase of 5% when compared to Non-rated buildings. And that makes sense when you consider that commercial and residential tenants are typically responsible for their energy bills. Also, a variety of studies have demonstrated real productivity benefits in commercial and industrial settings. For example, according to the U.S. Green Building Council (USGBC) office worker productivity increases between 2-18% on average in green buildings, and occupants are more willing than ever to participate in making their buildings more environmentally responsible. their buildings more environmentally responsible. ========================================================================================================== SOURCE MATERIALS By way of example: Smart buildings can reduce energy consumption by as much as 40% or higher and the associated maintenance cost by 10-30%. The St. Regis Hotel in Shanghai integrated 12 subsystems to create one intelligent building, with a ratio of energy costs to revenue below 5% (compared to 8% for other five-star hotels), a savings of 40%. As the only 5-star hotel in Shanghai awarded "Intelligent Building" status, St. Regis Hotel, Shangahi is exclusively equipped with building control communication protocols that help ensure the safety and comfort of all guests. http://www.starwoodhotels.com/stregis/property/overview/announcements.html?propertyID=1365 Other sources: US National Science & Technology Council, "Federal R&D Agenda for Net Zero Energy, High Performance Green Buildings." 30 September 2008, pg 7, Continental Automated Buildings Association, "Convergence of Green and Intelligent Buildings." 2008, pg 7, 33.) See CABA Bright Green Bldgs.pdf or US Federal Green Buildings Agenda 0930208.pdf … and save 30% in water usage. See Continental Automated Buildings Association, "A National Green Building Research Agenda." June 2008, pg 7, 138 or CABA Bright Green Bldgs.pdf at link below http://w3.ibm.com/connections/files/app?lang=en#/person/5ca21fc0-8f0a-1028-8107-db07163b51b2/file/d35fc97d-21dd-4a57-84c7-82019e26bd2b And for a glimpse of what is possible through a smarter building approach, consider the how Smarter Buildings help people think and be more productive. The number of EPA Energy Star buildings growing 30% each year. This growth is expected to continue as reported by McGraw-Hill. A recent study of LEED & Energy Star buildings conducted by the Burnham-Moores Center for Real Estate at San Diego University and The CoStar Group found significant advantages. This study of multitenant buildings shows an increase in rental & occupancy rates and sale price compared to Non-rated buildings. http://www.costar.com/josre/ A variety of studies have demonstrated productivity benefits in commercial and industrial settings. For example, according to the U.S. Green Building Council, office worker productivity increases between 2-18% on average in green buildings. http://w3.ibm.com/connections/files/app?lang=en#/person/5ca21fc0-8f0a-1028-8107-db07163b51b2/file/d35fc97d-21dd-4a57-84c7-82019e26bd2b See page 10. Statement: 65% of building occupants are willing to help redesign their workplace to make it more environmentally responsible. Source: IBM Smarter Buildings survey (2010) http://www-03.ibm.com/press/attachments/IBM_Smarter_Buildings_Survey_White_Paper.pdf
• #9: Let’s move on and look at how buildings operate today. In the middle of this chart, you will see the essential day-to-day service such as lighting, heating, ventilation, air conditioning, water, elevators and security. We are all used to those services and we almost do not notice them unless they break! But those are not the only processes occurring in buildings. Look to the left, and there is another set of services: Occupancy services; lifecycle management of the equipment; regulatory compliance; portfolio management for the organizations that own multiple buildings; tenant services and bill payments. Most of the building systems on the left operate independently, through a mix of vendors, and have different protocols and transport mechanisms. These different systems have also been advancing and maturing at different rates. If you add to this, the impact and influence of external factors shown on the right side of the chart, like weather patterns, emergency operations, variable utility rates, then you can begin to see just how complex managing a building could be.
• #10: Must click on URL to access Video
• #11: To reiterate once more, smarter buildings are managed comprehensibly to provide optimal occupancy services in a Reliable, Cost Efficient, and sustainable manner. A few examples of how our customers have made their buildings smarter can be seen here: Tulane University is located in the heart of New Orleans and is the largest employer in the city. As you all know it was devastated by Hurricane Katrina a few years ago. The School of Architecture located in Richardson Hall is 100 year old building that has implemented the IBM Intelligent Buildings Management solution. The project overlays the disparate building controls for heating, cooling, electrical and water equipment, enabling them to act more holistically rather than against each other. With greater visualization of building data and energy analytics, the school aims to expend only a fraction of the resources it currently uses. After this first phase, Tulane plans to deploy the IBM Smarter Buildings Solutions to all its 70 buildings across campus. IBM teamed with Johnson Controls on this project, which is helping Tulane to connect to its existing building systems to collect metered data, then incorporating that data to enable advanced analytics that uncover sub optimal conditions. The second example is the IBM Rochester, Minnesota campus. This campus was established in 1956; it has 36 buildings that contain 3.1 million square feet which is equivalent to about 300,000 meters. It is a multi-use campus which includes manufacturing, warehousing, development labs, office space and a data center. The local building management team has been implementing building enhancements for the past 7 years such as improving the insulation and the roof material, and has achieved an impressive 5 to 8% energy reduction per year. But the facilities managers were running out of physical enhancements to do, and since Rochester is one of the highest energy consuming campuses for IBM, they decided to implement the IBM Intelligent Building Management solution, implemented by IBM Global Business Services, IBM Software Group and Global Alliance Partner Johnson Controls . The solution collected 10,000 measurements every 15 minutes, and recorded and analyzed operational performance against a set of rules. If a variance was detected, a service request was automatically generated and the appropriate personnel were notified via a service request. For example, if the outside air temperature is above 78 degrees and a heat valve is open on one of the air handlers, heating a building unnecessarily, maintenance staff got an alert and were dispatched to resolve the issue. This resulted in an 8% decrease of energy consumption of the monitored equipment since the solution was implemented. It is important to note that the new savings are just due to the data driven approach and they are over and above the savings that resulted from the physical enhancements to the building. At Bryant University , what began as an IT initiative to create an energy-efficient data center has resulted in a unique partnership between the IT and facilities teams – working with IBM and Schneider Electric - to reduce the University’s carbon footprint and construct smarter buildings. In-depth insight into power consumption inside the data center and across campus allows Bryant to measure the impact of future changes for both IT and facilities assets and uncover operational issues that may increase energy usage. This new insight helped support a 15 percent reduction in energy consumption in the data center and similar savings are expected campus wide.
• #14: Here are two recent studies that provide great insights into the evolution of cities and what makes some cities smarter than others… McKinsey Study: Urban Worlds http://www.mckinsey.com/mgi/publications/urban_world/index.asp IBM Study: How Smart is Your City? http://www.smartertravel.ie/download/1/downloads/How%20Smart%20is%20your%20City%20GBE03248USEN.pdf
• #15: The lesson of history -- technologies underlie improved value creation mechanisms when combined with the right societal rules/incentives. Nonzero – summarizes all of human history, and is about win-win interactions (what “service science” calls value-cocreation mechanisms) Morals and markets – summarizes all of human history, and is about balancing what is good for individuals with what is good for the collective. Paul Romer’s Charter Cities video – summarizes the consequences of bad rules in recent history (Africa, North Korea, Haiti, etc.), and is about the need for the right rules and incentives, including rules to change rules (cities are the right size to experiment – Hong Kong, Singapore, etc.).
• #18: We work with universities around the world…. To solve grand challenge research challenges and to build and enhance regional innovation clusters.
• #19: We work with universities around the world…. To solve grand challenge research challenges and to build and enhance regional innovation clusters. UC San Diego / Berkeley 3.4M revenue booked in 2009 Future opportunity of 100K per year for 4 yrs in storage Univ of Melbourne 2.1M revenue booked in 1Q/10 (first installment of 25M to come over next 5 yrs) RICE 650K revenue opportunity in 2010 based on SUR donation as a seed Note : Total IBM donation value = $7.5M (H/W, S/W, Maint, Manpower in kind) JUST See chart above for $ values
• #20: We work with universities around the world…. To solve grand challenge research challenges and to build and enhance regional innovation clusters.
• #21: Top Left Quad Project Detail This collaboration is a POC of an HPC cloud built with our HPC stack on top of our CloudBurst stack using both x and p blades. An initial project will be to develop multi-agent traffic simulation models for Alexandria city and its suburb Burg El Arab, helping to improve traffic flow jams in Alexandria. The E-JUST Computer Science and Engineering department has a close partnership with Waseda University in Japan. Students will be co-supervised by Egyptian and Japanese professors. This research will build on existing successful Japanese traffic systems for Tokyo, the city with the world’s largest population – 34.4 million. Top Right Quad Project Detail This collaboration with the Erasmus Center for Optimization in Public Transportation (ECOPT) and the Netherlands Railway will focus on managing major failures in the railway system, such as track breaks, signal or switch failures. The team will develop an analytic framework/solution to coordinate and optimize the rescheduling of timetables, trains, and crew after a major disruption; and build a POC based on data from the Netherlands Railway. This project will be based on iLog and support from IBM Global Rail Innovation Center in China . ECOPT is a leading research center focusing on railway transportation optimization, especially in disruption management area. Awarded the EURO Management Science Strategic Innovation Prize 2009. Bottom Left Quad Project Detail This collaboration is a POC of combining IBM hosted LotusLive services with MIT's private network to enable students in Africa and at MIT to work together (e.g., Makerere University in South Africa and Ghana Telecom University College) and to collect archival material on black contributions for the Robert E. Taylor Archive (Robert E Taylor was the first black graduate in architecture at MIT). Students from MIT Center for Educational Computing Initiatives have been collaborating with the Lotus Foundations team since 2008. In this SUR project, the students will be developing connection code between IBM’s LotusLive services that live in IBM’s cloud and MIT’s servers. Bottom Right Quad Project Detail University of Conn (USA) teaming up with Addis Ababa, Mekele and Hawassa Universities in Ethiopia and US Agency for International Development (USAID) UCONN faculty member from Ethiopia spearheading project to work with above and in country government agencies to create an institute for sustainable water resources . Focus on water management for both urban and rural locations. University curriculum also being created to education faculty and students on Ethiopia’s water issues and potential solutions
• #22: SUR Awards South China Univ of Tech/ Xi'an Jiaotong (China) : Z-platform, very large scale electricity usage for a/c during summer National Grid and Ministry of Water shared platform for large scale hydrological modeling and parallel computing Universidade de São Paulo,Universidade de Mato Grosso (Brazil): Great Rivers Project: Modeling river basins in Brazil and developing a system for management of rivers University of Wisconsin-Madison/U de A São Paulo / U Federal de Mato Grosso (Brazil) – Water for Tomorrow; Developing a Sustainable Water Management System Fudan / North China Electric Power / Shanghai Jiaotong (China) – Smarter Planet China projects Financial services risk management Maintenance scheduling for electricity distribution networks, Dynamic, distributed framework to enable non-IBM applications can run on IBM Cloud hardware/software University of Calgary (Canada): Advanced petroleum reservoir modeling & green technologies Tekniske Universitet (Denmark) : Creation of Powerlab on Intelligent Utility Networks Wageningen Universiteit, Universiteit Twente, Erasmus Universiteit Rotterdam, Technische Universiteit Delft, Rijksuniversiteit Groningen and Vrije Universiteit Amsterdam (Netherlands): significantly reduce waste of fresh food in the chain, by 40 %. Each year waste 1B euros of fresh produce, 1/3 of the fresh food grown and produced. Mc Master University (Canada) - Next Gen Autos, Using Multi-Core Processors Univ of Maryland Baltimore County - Real-time wildfire and smoke monitoring and prediction analysis using multi-channel data assimilation and System S/InfoSphere Streams Fraunhofer-Gesellschaft (Germany) - POC for Integration of IBM Idemix into new German Electronic ID-Cards and Identity Management Infrastructure Univ of Calf-Berkeley (US) - CA Energy Innovation Center: Smart Energy Technologies and Management Ozyegin University (Turkey) – Cloud computing research center to create “smart” applications for various sectors University of Transilvania of Brasov (Romania) - This project is to conceive and design an intelligent distributed data acquisition and control architecture based on models, wireless sensors and actuator, access to renewable energy sources, and computing networks Tsinghua, Fudan, Peking Universities (China) - Carbon Management across the Railroad Industry, Detecting Risk in Food Chains, Monitoring and Detecting Outbreaks in Large Water Distribution Systems Stanford University (US) - This collaboration with Stanford's Smart Fields group will focus on optimizing the management and production from oil wells and business analytics. Optimizing well management has the potential of increasing the recovery of petroleum resources University of Ottawa (Canada) - to support research collaborations in four areas -- innovation and entrepreneurship, health care management, global business and international management, and performance management. Engaged with Telfer and the Ottawa Hospital Research Institute (also affiliated with the U of O) in BIPM research designed to significantly reduce "adverse events" in hospitals Royal Inst. Of Technology (Sweden) – to support collaboration with the Intelligent Traffic Systems (ITS) Lab at the university is to create a computing infrastructure to build smarter systems to manage transport operations in urban areas by integrating data from multiple sources Nat’l Inst.of Disaster Prevention (Korea), Beijing Normal / BJ Jiaotong / U of Fin & Econ ( China/Korea) - collaborations will help research team quickly gain access to city emergency management issues and data, to build assets. Performance Analysis and Optimization for Typhoon Emergency Response. Analyze and optimize emergency responses to railroad disasters. VTT, Technical Research Center of Finland (Finland) - collaboration aimed at understanding the use of social networks (e.g., communities of bus and taxi drivers and users) for collecting new data, analyzing traffic data and developing new applications, and disseminating traffic information. Univ of Colorado-Boulder (USA) - to i mprove the technology interface between the homeowner and the utility, through the use of Personas/Fictional Representatives. The goal is to improve acceptance and make the smart grid more usable by the homeowner, and design a better user interface. Improve the efficiency of a smart grid using simulation optimization modeling and queueing theory Indian Institute of Technology-Roorkee (India) - Development of data mining algorithms for analyzing time series data and applying them to real case data such as the meteorological data from the Indian peninsula and earth science data for understanding the behavior of earth’s eco-system, detecting patterns in changes in the forest cover in India, and prediction of natural disasters. University of Jyvaskyla (Findland) - University of Jyväskylä and its partners (Ministry of Finance, IBM, others) have developed a Finnish Enterprise Architecture (FEAR) governance and assurance model; the goal is to provide an architecture so when designing and building applications, they can be easily integrated across multiple systems and silos. Inha University (Korea) - This SSME project with the Inha University Service Science Center aims to identify which healthcare service processes customers value. Based on these analyses, a prototype model for service evaluation will be developed to identify the strength and weakness in a provider's core processes, activities, resources. The goal is to create a model to recommend required processes, activities and resources to focus on to improve customer service quality and loyalty in service industries. Tsinghua / U of Shanghai for S&T / Beijing U of Posts & Telecom / Peking Union Medical / Xi'an Jiaotong Univ (China) - IBM and Tongji University (ToJU) signed a Smarter City Initiative collaboration agreement aimed at building and providing integrated IBM Smarter City solutions in China. The goal of this collaboration will be to overcome the current silo decision making by different government ministries and departments and to provide a city mayor and other decision makers at the city level an integrated Smarter City framework, solution package, and a real city model. Carnegie Mellon University (USA) - ee IBM has signed an MOU with CMU to create an IBM Smarter Infrastructure lab. This lab will initially take a system of systems view of a university managed like a smart city using sensors, data, and analytics. There are several goals for this collaboration. 1. Design and develop fixed and mobile infrastructure analytics technologies and solutions for a smarter planet (e.g. smart water, waste, buildings, energy, transportation, healthcare, environment, etc.). 2. Provide a showcase for client visits and demonstrations of IBM Smarter Cities technologies, including iDataPlex and software -- SPSS, Infosphere Streams, Maximo, Cognos, and Cisco Telepresence. Erasmus University Rotterdam (Netherlands) - This collaboration with the Erasmus Center for Optimization in Public Transportation (ECOPT) and the Netherlands Railway will focus on managing major failures in the railway system, such as track breaks, signal or switch failures. The team will develop an analytic framework/solution to coordinate and optimize the rescheduling of timetables, trains, and crew after a major disruption; and build a POC based on data from the Netherlands Railway. This project will be based on iLog and support from IBM Global Rail Innovation Center in China. Tokyo Institute of Technology (Japan) - This collaboration is to explore providing InfoSphere Streams services hosted at IBM and to build a computing platform based on InfoSphere Streams that will handle massive amounts of data produced in two areas. 1. from sensors on cell phones, to monitor real time traffic and the environment – e.g., CO2 levels. 2. from next-generation DNA sequencers. University of Toronto / University or Waterloo (Canada) - The focus of this collaboration is to build a research platform to model the Ontario Grand River Basin in Eastern Ontario. Eight Ontario research universities, including Waterloo and Toronto, the regional municipalities, and 80+ private sector companies are establishing a $25+M regional platform in the Grand River water basin that will provide infrastructure to: do research on the management of water in urban and urbanizing watersheds; to be a test-bed for new technologies and services; and to inform public policy in Ontario and new legislation from the Provincial Government Syracuse University (USA) - This SUR collaboration is to develop a system based on Tivoli tools to monitor and operate a green data center of IT and non-IT (includes micro-turbines and chillers) equipment and to optimize its use of energy in the data center. A key objective will be for IBM and its partners to develop turn key solutions for additional advanced green data centers. Aalto University (Finland) - Finland has been chosen as the site for many data centers, including Google and the Finnish IT services & consulting company. Currently in Finland there is little in-depth understanding of how data centers should be built and run following green principles – including the best practices in terms of energy consumption and reuse of the heat generated by the hardware, and the use of renewable and green energy sources. The goal of DC2F is to 1. review the current state of the art technologies in setting up and running green DCs, 2. experiment and verify key technologies to see if the promise they make are truly what they claim to be, and 3. develop new ways to lower the total effect of a DC on our environment and energy usage. North China Energy & Power / Harbin Inst / Zhejiang / Huazhong U of Sci and Tech (China) - IBM and Tongji University (ToJU) signed a Smarter City Initiative collaboration agreement aimed at building and providing integrated IBM Smarter City solutions in China. The goal of this collaboration will be to overcome the current silo decision making by different government ministries and departments and to provide a city mayor and other decision makers at the city level an integrated Smarter City framework, solution package, and a real city model. Egypt Japan University of Sci & Tech (EJUST) (Egypt) - This collaboration is a POC of an HPC cloud built with our HPC stack on top of our CloudBurst stack using both x and p blades. An initial project will be to develop multi-agent traffic simulation models for Alexandria city and its suburb Burg El Arab, helping to improve traffic flow jams in Alexandria. Dublin City (Ireland) - This collaboration between IBM Research’s newly established Smarter Cities Technology Center in Ireland and Dublin City U's Centre for Digital Video Processing (CDVP) is to develop a platform using IBM HW and Infosphere Streams to combine the enormous amounts of data from city sensors on transport, air quality, energy & water-usage and others. Slovak University of Technology (Slovakia) - This collaboration is to develop telemedicine solutions based on sensors and wireless technology. Examples include monitoring people who have just been discharged from hospitals, elderly people living at home, and people with chronic illnesses IIT Karagpur (India) - This collaboration will focus on the use of data analytics and mining, simulation, modeling, and optimization, in two smarter planet topics ; Water management of the Ganges river basin and telemedicine and medical informatics. In addition the collaborators will study how to create an integrated platform of computing, storage, simulation and analytics tools to support computationally intensive application areas OCR Green Supply Chain Simulator (China) - IBM CRL and Tsignhua University to create a a software Carbon Effective Supply Chain Simulator (CESCS), optimal balance between carbon footprint , service level, supply chain cost and product quality. Interaction Network Analysis for Service Delivery (India ) - IBM IRL and the Indian School of Business to develop software that models, simulates, and optimizes service delivery social interaction networks. New Gen Hospital (Israel) - collaboration with IBM HRL, Technion University and Rambam Hospital for Lean and Safe hospital SW for the Aging Population (US/Scotland) - collaboration with IBM WRL and the University of Dundee and University of Miami School of Medicine to; Online learning methods for both younger and older workers Examine physical and cognitive changes with age as they impact workers Determine how best to integrate accessibility enhancements for aging into standard software (Web, IM, mail) Medical Image Analysis (US) - with IBM WRL and Yale University on novel algorithms for medical image and video analysis for cardiac Magnetic Resonance Imaging (MRI) and cardiac Computed Tomography (CT) images, and attempt to develop algorithms for segmentation, tracking and pattern analysis exploiting medical knowledge to distinguish between different cardiac diseases. Managing Business Integrity (US) - IBM and NYU Stern School of Business to build a risk assessment model that can be used by executive decision makers to make cost/benefit decisions about the corporate governance of customer data. Managing Business Integrity (US) - IBM and University of Illinois to develop techniques to analyze security risks in business processes and to determine the impact of security investments and countermeasures to reduce security risks. This will involve business process and IT infrastructure instrumentation and modeling, as well as modeling of the business process and IT infrastructure and countermeasures. Open Advancement of Question Answering (US) - IBM and University of Massachusetts to develop OAQA technologies and conduct an open, transparent evaluation of these technologies to facilitate the rapid advancement of the question answering field. Open Advancement of Question Answering (US) - IBM and University of Southern California to develop OAQA architecture, data model, and component technologies and collaborate for the rapid advancement of the question answering field. Open Advancement of Question Answering (US) - IBM and University of Texas to develop OAQA architecture, data model, and component technologies and collaborate for the rapid advancement of the question answering field. Open Advancement of Question Answering (US) - IBM and Carnegie Mellon University to develop OAQA architecture, data model, and component technologies and collaborate for the rapid advancement of the question answering field. Architectural & Social Governance of SW development (US) - IBM and Carnegie Mellon University to explore use of a common set of analytic techniques for exploring key structural and behavioral properties of architectures and the teams supporting them Patterns of Interest in Financial Data Streams (US) - IBM and University of Albany to develop models and methodologies for specifying and detecting patterns of interest in financial data streams and evaluate the resulting techniques using IBM’s stream processing middleware platform Reputation of Internal IP Address (US) - IBM and Polytechnic Institute of NYU will perform research in the area of cyber security and in particular, the reputation of IP addresses Architectural & Social Governance of SW development (US) - IBM and University of Virginia to explore use of a common set of analytic techniques for exploring key structural and behavioral properties of architectures and the teams supporting them Radical Simplification of Artifact-Centric Business Process Modeling (Italy) – IBM and University of Rome La Sapienza to perform fundemental research on foundational aspects of the artifcat-centric approach to the management and execution of business processess and operations with a focus on the relationship of ontologies to the artifact-centric approach. Radical Simplification of Artifact-Centric Business Process Modeling (US) – IBM and University of California Santa Barbara to perform fundemental research on foundational aspects of the artifact-centric approach to the management and execution of business processes and operations. Radical Simplification of Artifact-Centric Business Process Modeling (US) – IBM and University of California San Diego to perform fundemental research on foundational aspects of the artifact-centric approach to the management and execution of business processes and operations. Development open source software for design in inverse problems (Canada) – IBM and University of British Columbia to explore more advanced multi-level optimization approaches for desing of software to address inverse problems with empahsis on large scale problems. Development of innovative algorithms for reservoir management & production optimization (Norway) – IBM and Norwegin University of Science & Technology to develop methods for real-time production optimization suitable for large systems of wells and pipelines that include discrete decision variables. Development of intelligent emergency response systems (Portugal) – IBM and Carnegie Mellon Portugal / Madeira Interactive Technologies Institute to explore enabling intelligent emergency response coordination during natural disasters and large events within an effected georgaphioc area. Clinical Genomic Analytics (Israel) – IBM and Tel Aviv University to collaborate on IBM’s BDM Tool for bio-clinical data mining. This is based on a framework that allows combining building blocks that perform various functions into a workflow that performs a high level task, feature selection etc. Open Advancement of Question Answering (Italy) - IBM and Università degli Studi di Trento to explore algorithums in the area of relation extraxction patterns and features generaliztion to apply these to question classification in Jeopardy categories and evaluate the resulting performance. Crowd Computing (Israel) – IBM and Haifa University to collaborate to develop a general crowd computing platform to be used to develop crowd computing applications Virtual Cyber-security Lab (USA) – IBM and Georgia Tech to collaborate to create open test bed for developing, testing , benchmarking and validating new and innovative network defense technologies for cybersecurity Multi-modal service platform ( Inida ) – IBM and IIT Bombay to collaborate to derive an interface on mobile devices that can be used by people on the other side of the digital divide to access information technology solutions. Deep Q&A medical domain (USA) – IBM and Columbia University to collaborate to create a prototype system that leverages large components of the DeepQA system to provide relevance-ranked passages that answer questions posed by medical professionals. Development of dynamic state estimators using Phasor Measurement Unit ( India ) – IBM and IIT Madras to design a reiable and survivable network for inconnecting synchrophasors and enterprise systems. Development of dynamic state estimators using Phasor Measurement Unit ( India) – IBM and IIT Kharagpur to develop dynamic state estimators unsing Phasor Measurement Unit (PMU). Peta-Scale Data Workflow ( Saudi Arabia) – IBM and King Abdullah University of Science (KAUST) to build a scalable data management layer that is capable of managing petabytes of data efficiently and supporting real-time decision making Faculty Awards Rochester Institute of Technology Organometallic Vapor Phase Epitaxy of III-V Photovoltaic Materials on Novel Substrates Sabanci University Green Logistics: Minimizing Greenhouse Gas Emissions in Road Transport University at Buffalo, State University of New York Reducing Data Center Operational Costs by Implementing Green Technologies Middle East Technical University ENERGY-EFFICIENT WIRELESS MOBILE NETWORKING TECHNOLOGIES TO ENABLE SMART INFRASTRUCTURES Institute of Photonic Sciences Transparent conducting electrodes for silicon solar cells Delft University of Technology How to make urban water management smart: Connecting measurements, models and management. UNIVERSITY OF DODOMA E-SYSTEM FOR SMALL AND MEDIUM SCALE ENTERPRISE (E-COMMERCE) Massachusetts Institute of Technology Center for Urban Services Research, Education and Entrepreneurship Stanford University Algorithms and Incentives for Societal Networks: Smarter Tourism, Transportation and Energy Systems San Jose State University SSME Curriculum and Research Program at San Jose State University Royal Melbourne Institute of Technology Study of Readiness of University of Dodoma in Adopting and Embracing Complex New System of Systems University of Geneva Smart City emerging from Services Science Ohio State University Towards Smarter Socio-Technical Systems via Content and Network Analysis University of Illinois at Urbana-Champaign Assessing, Documenting, and Disseminating a Scalable Change Incubator for the Transformation of Engineering and Computer Science Education University of Southern California Smarter Cities: A Distributed Optimization & Control Framework for Smart Energy Networks Bilkent University Network Middleware for Environmental Monitoring and Control with Wireless Ad hoc, Mesh and Sensor Networks Clemson University Performance Modeling of Data Staging in Storage Hierarchies Carnegie Mellon University Exploratory research in smart infrastructure including sensing and preventive response of facilities such as buildings, and sewer pipes. Carnegie Mellon University Exploratory research in smart infrastructure including sensing and preventive response of facilities such as buildings, and sewer pipes. Marist College Dynamic Infrastructure: Reducing costs, improving service, and managing risk in the 21st century Rochester Institute of Technology III-V Solar Cells University of Colorado at Boulder Advances in Rogue Access Point Detection University of Ottawa Self-Organizing Autonomic Computing as Applied to Peer to Peer Server Virtualization University of Toronto Towards Automating Pattern-Based Application Integration Technical University of Denmark Real Time Digital Simulation of Active Distribution Systems Hong Kong University of Science and Technology Text Glyph, Text Bicycle, and Text Splash: A Visual Analytics System for Text documents Tokyo Metropolitan University Advancing computational chemistry as a powerful partner with macro simulations and experimental studies Plekhanov Russian Academy of Economics Distributed AI for Smart Power and Supply Chains Ozyegin University Top Faculty Contributor - IBM Smarter Planet University Jam University of Warwick Turning art into science when protecting our BITs; a framework for understanding how IT controls help limit the risk of data losses Carnegie Mellon University Exploratory research in facilities management with focus on hospital and building information and infrastructure management. Prof. Akinci has experience in creating information models for buildings and is working with a VA hospital Carnegie Mellon University Exploratory research in smart water infrastructure including drinking water in the context of the three rivers in Pennsylvania. Carnegie Mellon University Exploratory research in facilities management with focus on sewer infrastructure. Duke University Integrating Computer Science and Engineering into K-12 ViaTeacher Workshops and the Virtual Computing Laboratory Duke University Toward a Smarter Edge for a Smarter Grid Harvard University Prototyping the Smart City: Environmental and Energy Monitoring with an Urban-Scale Sensor Network New York University work in the area of cyber security, in particular, the reputation of user identities North Carolina State University Open Source Health Care and the Virtual Computing Laboratory North Carolina State University Evaluation of the VCL in High School Classrooms in North Carolina – Phase 2 North Carolina State University Virtual Collaboration Environments: Socio-Technical Resource Allocation for Scalable Performance of the Collaborative Web North Carolina State University Virtual Collaboration Environments: Socio-Technical Resource Allocation for Scalable Performance of the Collaborative Web Lehigh University Assessing Fiber-Matrix Strength in Organic Substrates University of Connecticut UConn-Ethiopian Academic Partnership in Sustainable Water Resources University of California-Riverside Narrow Bandgap Semiconductor Materials and Devices for Thermoelectrics and Spintronics University of Roma La Sapienza The social dimension of (secure) ad-hoc networks Georgia Institute of Technology Evaluating Applications of Streaming Workloads on Multicore Technology Ecole Supérieure Multinationale des Télécommunications A Laboratory for Mobile Technology for Development at ESMT New York University Smarter City Research Innovation Center City University of New York City College Smarter City Research Innovation Center Indian Institute of Management, Bangalore Innovative delivery models University of Massachusetts Curriculum Enhancement with IBM Technologies: Business Intelligence/WebSphere Commerce/Business Process Modeling/Social/Networking/Mashu Princeton University High Efficiency Heterojunction Solar Cells National Chiao Tung University Investigating Healthcare Applications on JoinMe platform and Cloud System Stanford University Smart University Management System Università degli Studi di Napoli - Parthenope Smarter People on the Planet University of Colorado Health Sciences Center Imagine! SmartHomes University of California-Berkeley IBM Smarter Planet University Jam -- Top Faculty Contributor Honorable Mention Stanford University CELL DETECTION AND TRACKING USING A NOVEL BIOCOMPATIBLE AND BIODEGRADABLE NANOPARTICLE IMAGING AGENT University of Minnesota-Twin Cities Smarter services analytics through cross domain Spatio-temporal data mining National University of Rwanda ICT for the enhancement of revenue for the organized co-opertaives through SpokenWeb Technology. Carnegie Mellon University Policy Support for Road User Charging Carnegie Mellon University Exploration of real-time data-mining, data-processing, social networking & service composition in mobile 311 systems North Carolina Central University VOICE: Virtualization Outreach Increasing Community Equity North Carolina Central University Virtualization - Increasing Careers Technology Outreach Re-energize Youth (VICTORY) North Carolina State University Analysis and Cost Benefit Assessment of Implementing VCL Cloud Computing Solutions in K-20 Education Ohio State University Main Campus Bayesian Spatio-Temporal Analysis of Very Large Datasets University of Texas at Austin Novel Nanostructured Membranes for Water Purification Florida International University Data Mining and Machine Learning for Green Data Center University of Massachusetts RiverNet: Sensing, Networking and Modeling of Data from a River Sensor Network University of Pittsburgh, Pittsburgh Campus Algorithms for Integrated Scheduling and Power Management Virginia Polytechnic Institute Generalized Sequence Search in Green Computing Environments University of Texas at Austin Micorarchitecture/Software Support in an Evolving World of Programs Written in Managed Languages Running on Multi-core Microprocessors University of Texas at Austin Performance and Power Modeling of multi-core systems using synthetic traces University of California-Berkeley Intgerated Voltage Conversion for High-Performance Digital ICs Indian Institute of Science - IISc Bangalore Storage-class Memories, Transactional Memory and Energy-efficient Storage Applications Ben-Gurion University Combining flash drives and de-duplication technologies, for greener, better performing and affordable storage. Carnegie Mellon University Power Management in IBM BladeCenter Clusters Duke University Energy Isolation for Virtual Computing North Carolina State University A prototype power-aware cloud computing framework State University of New York at Stony Brook The Impact of Storage Software and Aging on Power Consumption National University of Singapore Fabrication, Characterization & Performance of Thin Film Si Photovoltaic (PV) Cells. North Carolina State University Enabling Heterogeneity for Power-Friendly Performance University of Arizona Broadband Characterization Techniques for Product-Level Printed Circuit Boards Georgia Institute of Technology Energy Efficient Thermal Management of High Power Data Centers Via Physics Based Efficient Computational Modeling National Technical University 'Kharkiv Polytechnic Institute' Design and Development of Data and Information Infrastructure Solution for University of Wisconsin-Madison Green Supply Chain Management and Analytics University of Tokyo Micro and Extended-Nano Fluidic Systems on Chip and Application to IT-linked Chemistry and Biotechnology
• #23: 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…
• #24: High school drop out rates in cities can be high… by increasing focus on system of systems in all grade levels, especially STEM discussions of how to study and then propose solutions to local community challenges – there is evidence that exemplar programs increase the diversity and desire of students to go onto college in STEM areas, and then go on to jobs that use these skills to improve systems…. A number of NAE studies as well as NMC study on challenge-based learning provide encouraging information – also IBM has a Smater Learning white paper which confirms some of these findings. http://www.ibm.com/ibm/ideasfromibm/us/smartplanet/topics/educationtechnology/20090601/index1.shtml See Challenge-Based Learning: http://www.nmc.org/news/nmc/nmc-study-confirms-effectiveness-challenge-based-learning Smarter Planet University Jam Final report at: https://www.ibm.com/developerworks/university/smartplanet_jam/ Awards given to top participants, e.g., faculty and students… Prizes as Incentives for Public-Private Partnerships In recent years, there has been a renaissance in “incentive prizes” – which reward contestants for achieving a specific future goal. http://blog.ostp.gov/2009/06/17/prizes-as-incentives-for-public-private-partnerships/comment-page-2/ crowd-sourcing the world.... see http:// www.itsa.org /challenge/ WE are smarter than ME, i.e. and a diversified, independent, decentralized community can outperform even the greatest of experts. This challenge is open to entrepreneurs, commuters, transportation experts, researchers, universities, students, scholars, scientists and citizens from all fields around the globe. All ideas will be reviewed discussed and rated by an open global community, to determine the best and most creative ideas to effectively solve the consequences of traffic congestion. The winner will be announced during the 16th World Congress on Intelligent Transportation Systems in Stockholm, Sweden, September 21 - 25, 2009, and will receive a cash a of $50,000 USD , as well as development and implementation support to pursue turning the ideas into real-world solutions. Ideas will be reviewed, discussed and rated by an open global community. The public will determine the best and most creative ideas to effectively solve the consequences of traffic congestion. The winner will be chosen by the community. For the next 60 days the community (which anyone can join ) will review and rate all submissions on 5 criteria. On August 1st, the top 9 solutions will be announced. These 9 will then submit more information including a slideshow, a video and founder bios. Based on this information, the participating community members can decide who they each want to back. Each member allocates points they have earned through what is known as a predictive market. The overall winner is the solution that receives the most backing. This challenge truly is: for the people, by the people, and decided by the people.
• #25: 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
• #27: http://service-science.info/wp-content/uploads/2010/08/service-science-program-guide-V2.doc http://service-science.info/wp-content/uploads/2010/03/service-science-program-guide-V1.pdf
• #28: The reasonable questions: What is a service system? What is service science?
• #29: One of the 100 icons of progress is SSME – Service Science Management and Engineering….
• #30: Part of IBM’s approach to the second problem is T-shaped people and service science…. What is the skills goal? T-shaped professional, ready for T-eamwork… T-shaped people are ready for T-eamwork – they are excellent communicators, with real world experience, and deep (or specialized) in at least one discipline and systems area, but with good team work skills interacting with others who are deep in other 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…
• #33: http://ncet2.org/ (Downloaded on 20110803)
• #35: 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 %
• #36: 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.
• #43: In April 2005, IBM and the National Geographic Society launched a major five-year research project to map the human journey across our planet. One of the most ambitious research initiatives in history, the Genographic Project performs advanced computer analysis of DNA from hundreds of thousands of people to reveal the deep migratory history of the human species. With the samples in hand, researchers will use sophisticated computer techniques to analyze that data and report the comprehensive results. All people around the world can take part in the research effort by purchasing Genographic Project kits, submitting their own DNA samples and allowing their confidential and anonymous results to be included in the database. To date, (June 2005) more than 45,000 kits have been sold. The Genographic Project shows the world that we are eager to, and capable Of, bringing IBM’s legacy and resources to bear on the world’s toughest challenges. Great example of global collaboration to deliver innovative outcomes.
• #45: Perhaps our homes and apartments are the smallest forms of holistic service systems – recently many Japanese families had to shelter in place So houses are a nice small scale HSS to examine…
• #46: If you haven’t seen it look for high tech car factory video …
• #47: We will see that this societal transformation (like others before) will further elevate the role of universities for improving regional innovation performance and global competitiveness….
• #48: The Gathering Storm report clarifies the challenge of regional (national) competition in a global labor market – where a great deal of work that institutions need done can be done where-ever the cost, talent, and regulations are most favorable… the Gathering Storm report acknowledges the importance of progress in all regions to produce a safer world for everyone. The Gathering Storm presents evidence that the US’s innovation edge is slipping away in part as a result of the nature of the new competition, and makes specific recommendations to regain America’s competitiveness – by investing in accelerating regional innovation – recognizing the importance of K-12 Education, university STEM programs, first R&D jobs and professional career paths, and regulatory climate in regional innovation ecosystems – all of these can be seen to be centered on the university as key to accelerating regional innovation…
• #49: The quotes tell an important story… and help clarify the nature of the four recommendations (which I have re-ordered from the original report), fix “broken” systems that interfere with a universities successful performance as the center of regional innovation ecosystem…
• #50: Regional entities include nations, states, cities, universities, and households Holistic product-service systems are regional entities Entities learning equates to regional innovation (co-evolution of infrastructure, individual, institutions, and information – regional upward spirals) Institutions (Regional Governments/Ecosystems as well as Enterprises, For-Profits and Not-For-Profits): Run-Transform-Innovate Learning Theory is an IBM-elaboration of March’s “Exploitation-Exploration” model, where Exploration can involve copying another entity and transforming oneself (less risk if other entity has already “tested and validated” the innovation works, and involves internal-external-interactional transformation risks), Innovate is both inventing processes and implementing them to realize the benefits (and has risks of wasted investments and costly attempted, but failed, implementations). The strategy of just exploiting existing knowledge and not learning/changing is flawed if other entities are learning and improving and adapting to a dynamic environment. Not changing in a dynamic, competitive environment can lead to extinction. Individuals (Skills): T-shaped Professionals are both deep and broad – deep problem-solving and analytics skills in some discipline and for some type of system/industry sector, along with broad communication and soft-skills for high-performance teamwork involving human interactions with specialists in many disciplines and system/industry sector areas, including disciplinary, systems, and cultural diversity. The breadth of a T-shaped professionals communication skills is characterized in a framework known as the systems-disciplines framework, with 13 horizontal discipline-related knowledge areas, and 13 vertical systems/industry-sector-related areas. Although rarely discussed, there is a third dimension that includes 13 major cultural areas… Cultural variations are especially important in both understanding interaction styles as well as cultural variations in quality-of-life measures. A fourth dimension might someday include personality types… such as Myers-Briggs…
• #51: Henry Ford understood the paying his employees a fair wage created customers Drucker said the purpose of business is to create new customers Value-Cocreation Model strengthens both provider and customer, giving them both expanded capability to invest in innovation – because they are playing a game with a non-zero-sum mindset. Value-CoCreation Worldview has also been called Co-Elevation Worldview (Kijima, Tokyo Tech) and Augmentation Worldview (Engelbart, Bootstrap Institute) Compete for (the benefit of) others, includes helping others learn by giving them practice – as when a master competes against his student in chess (the experience creates teachable moments in a post-mortem analysis) Taxes are very important to proper governance! Taxes must be such that work can be done from anywhere for anywhere – globally integrated enterprises – and incentivize regional innovation/entities learning/value-cocreation competition Where is the corporate HQ? What are the corporate income taxes in that nation? Attractors of talent/sources of innovation gain an advantage Where are the customers? What are the value-added-taxes (VAT) for consumption in that nation? Where are the employees living and where is their primary household? What are the income taxes and residence/property taxes in those nation? (recall even hotel guests pay local taxes that go to the local government)
• #52: Trust is earned through a history of superior interaction performance (“happenings”) – one failure (unfair outcome) can erase hundreds of successes (fair outcomes)… Thomas Jefferson wrote about the right to the pursuit of happiness, and happiness was realizing opportunities to accumulate a history of “happenings” where an entities’ knowledge and competences made a positive difference in interactions with other entities in the world… (value-cocreation outcomes and episodes, or happiness through service to others)
• #54: http://www.npr.org/2011/09/24/140766796/out-of-economic-chaos-a-new-order-may-be-rising
• #55: http://www.measureofamerica.org/docs/APortraitOfCA.pdf