PICMET is coming up, and I am planning to give a talk…

http://www.picmet.org/new/conferences/2013/

Talk Title: Students for a Smarter Planet

The best way to predict the future is to inspire the next generation of students to build it better.  The management of engineering and technology (MET) is a field that helps prepare student to build a smarter planet.  Closely related to MET, IBM is encouraging the development of new tightly interconnected fields such as service science, data science, and urban science.   The common characteristic of all these emerging fields is their boundary spanning nature.   This talk will review IBM Smarter Planet strategy, the rise of these new boundary spanning fields, and the transformation of education towards a challenge-based curriculum in which student teams guided by faculty from multiple disciplines, working with industry and government, are re-defining professional development in the 21st Century, and giving rise to more T-shaped service innovation professionals who understand the benefits of complex service system platforms for scaling the benefits of new knowledge globally and rapidly.  In addition, this talk will describe eleven innovation trends that will transform all major industries and the planet over the next two decades.

Speaker Bio: 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.

We need better Ontologies for Service Systems and Service Innovations

http://ontolog.cim3.net/cgi-bin/wiki.pl?OntologySummit2013_Communique

Many colleagues send me nice progress on Ontologies for Service Systems and Service Innovations.

Recently,  I was asked the following questions:

1. What is an example of a technology platform that can be used to help identify service system innovations?

For example, Kaggle.com (http://www.kaggle.com) provides a platform for “data science as a sport” — companies provide data, objectives, and awards, diverse research teams provide brains and algorithms, and Kaggle provides a technology-platform for parties to interact and co-create value.  The number of technology platforms for student and researcher competitions on open data sets is increasing – and I have blogged about this trend, see the list when you scroll down on this blog post: https://service-science.info/archives/2177

2. What will discoveries related to service system innovations look like?

As technological capabilities advance, there will be many discoveries related to the “scale effects” in service system innovations.  Economies of scale and learning curves are well-known for industrial age economic systems, and yet surprisingly unexplored for the area of service system innovations in the digital age.  In fact, for a particular technology level, different scales may be optimal – think of the new business models associated with putting solar panels on homes, versus solar panels for a street, community, district, city, state, or nation.

3. What is the fuel for service system innovations for local governments?

For example, datacatalogs.org (http://www.datacatalogs.org) provides a platform for “curating open data sets” – many cities provide data, and this becomes the basis of regional competitions to use that data to improve quality of life and invent new service system innovations.

4. What is servitization?

Most people try to build big walls between service system innovations, and manufacturing or agriculture innovations.   These walls do not work well – because of “servitization.”

In the digital age, new technology platforms allow new business models for sharing information, work, risk, etc.

For example, if you can put enough sensors in a jet engine, if might make sense to lease the jet engine to airlines, rather than sell the engines – this is what Rolls Royce did with “power by the hour” offering to their customers (see http://knowledge.wharton.upenn.edu/article.cfm?articleid=1665)

For example, if an auto manufacturing company decides to outsource their auto design staff into a new business (perhaps a technology platform for auto-design is the catalyst for that high skill group of people to use the tool and platform to design for many manufacturing firms).  This people when they move into the new design firm, can be the same people, doing the same work, but now they count as part of the knowledge-intensive service economy, instead of manufacturing sector.   John Zysman at Berkeley calls this up-stream and down-stream service decomposition, and is part of servitization process.

For example, if a farm shifts to a “pick your own” model – then customers become co-creators of value.

For example, if a furniture company decides to ship “self-assembly kits” – then the customer become co-creators of value (see IKEA).

New technology platforms in the digital age open up a host of new service system innovation possibilities.  This is called servitization of manufacturing and agriculture.

The interesting point is that technological platforms provide new opportunities for sharing information, risk, work, etc. – and this can create new value co-creation opportunities between provider, customer, and partners.

5. How will service system innovations change the systems in which we work, learn, and play?

Service system innovations benefit from new technology platforms that can allow a re-invention of the systems in which we live, work, and play.  The range of systems spans all industry sectors – flow sectors (transporation, water-waste utilities, manufacturing-agriculture, energy-electricity, information-communications), human development sectors (buildings, retail-hospitality, finance, health, education), governance sectors (government).   Platforms make it easier to share information, risk, work, etc. and this allows new value co-creation models to emerge.   New discoveries may include scale laws and learning curve laws for technology platform enabled service system innovations.

For example, as service providers work to improve their employee productivity (think travel agents in a travel franchise using computer tools) these tools get more and more powerful and easier and easier to use, so eventually they can be used by customers – and so a self-service model emerges, and the service provider can open up their employee productivity tools as a customer self-service platform.  This model occurs over and over across all industries, including manufacturing and agriculture, and is even happening in healthcare. Think 3D printers – perhaps Apple iPrint someday, and even places like WholeFoods are helping customers “grow their own” and doing experiments in urban agriculture:

` See http://www.fastcoexist.com/1681738/this-super-local-brooklyn-whole-foods-will-have-a-20000-square-foot-rooftop-greenhouse

So yes, this is very exciting, as technology platforms open up all kinds of service system innovation opportunities for businesses small and large to work with academics and local governments on new models – rethinking and reinventing the systems in which we live, work, and play.

Here is a short video that show circular-economy and re-invention of manufacturing-as-a-local-recycling-service…. a new business model, where people lease things, instead of buying and owning them – makes recycling easier for the service provider….

Re-thinking Progress: Circular Economy

http://www.youtube.com/watch?v=zCRKvDyyHmI

Subject: [SSH 2013] Submission deadline extended until July 10, 2013

Dear Colleague,

This is to inform you that due to numerous requests from authors we
have extended the deadline for paper submission for the 1st
International Workshop on Service Science  for e-Health (SSH 2013).

We will be accepting papers until July 10, 2013.

To submit the paper visit the EDAS conferencing system by following
the link: http://edas.info/newPaper.php?c=14621.

We are looking forward for your submission,
SSH 2013 Organizing Committee

——————————————
Apologies for cross-postings!
——————————————

Dear Colleague,

We would like to invite you to the 1st International Workshop on
Service Science  for e-Health (SSH 2013) co-located with 15th IEEE
International Conference on e-Health Networking, Application &
Services (IEEE HealthCom 2013) and sponsored by  IEEE Communications
Society.

The Workshop will be held in Lisbon, Portugal, from October 09 to
October 12, 2013.

Below please find the Call for Papers for SSH 2013.

We look forward to meeting you at our Workshop in Lisbon.

Please do not hesitate to contact us, if you have any further question via:
ssh2013@pwr.edu.pl

With best regards,
Organizing committee

CALL FOR PAPERS
——————————

1st International Workshop on Service Science for e-Health (SSH 2013)

Co-located with IEEE HealthCom 2013

Oct 9-12, Lisbon, Portugal

http://www.ssh.unige.ch

Technological developments in computing and networking have largely
made the delivery of health services possible from a distance. The
key requirements for current and emerging healthcare systems are
ubiquitous access to services, delivery of personalized services,
broadly understood security, openness to new networking technologies
and techniques for the purpose of flexible management of the quality
of service (QoS) and delivery of high quality of experience (QoE). The
fulfilment of the above requirements will lead to the utilization of
Future Internet architectures and concepts (e.g., Internet of Things,
Internet of Services, Internet of Media) as well as new system design
paradigms (e.g., communication enabled applications, service oriented
architecture, user centricity, content and context awareness) to
design and implement advanced e-Health systems.Service science is an
emerging interdisciplinary approach to design, implement and evaluate
complex service systems. It brings together science, ICT technologies
and business to provide an added value to domain-specific applications
of service-based systems. Service science is often defined as
application of scientific, engineering, and management disciplines
that integrate elements of computer science, operations research,
industrial engineering, business strategy, management sciences, and
social and legal sciences, in order to encourage innovation in how
organizations create value for customers and shareholders that could
not be achieved through such disciplines working in isolation. The
application of service science in the e-Health area seems to be a
natural approach to build platforms, systems and applications which
meet current and future demands of the healthcare domain.

The main aim of the workshop is to bring together representatives of
academia, industry and healthcare business to present recent advances
in the field of e-Health. The most welcome are high quality
interdisciplinary papers presenting utilization of service science to
develop new or enhance existing healthcare systems and services.
Prospective authors are invited to submit their original
contributions covering completed or ongoing work related to the area
of service science for healthcare.

The topics of interest include but are not limited to

– e-Health services design and implementation
– Business models for e-Health services delivery
– Cloud computing for e-Health
– Middleware for e-Health services
– Models and methods for decision making support in the healthcare domain
– Network architectures for e-Health
– Service-based e-Health systems
– Virtual and augmented reality for e-Health
– Wireless access to e-Health services
– Mobile Health solutions

Paper submission

Prospective authors are invited to submit their papers using the EDAS System at
http://edas.info/newPaper.php?c=14621. A full paper should not have
more than five (5) IEEE style pages including results, figures and
references. Papers will be reviewed with the standard reviewing
procedure (with at least 3 independent anonymous reviews). Accepted
papers will be published on IEEExplore
(http://ieeexplore.ieee.org/). Selected papers will be considered to
be published in dedicated special issues of the following
international journals:

–> IEEE Journal of Biomedical and Health Informatics (formerly: IEEE
Transactions  on Information Technology in Biomedicine) –
http://bme.ee.cuhk.edu.hk/JBHI/

–> International Journal of Biomedical Engineering and Technology –
http://www.inderscience.com/ijbet

–> Journal of Telecommunications and Information Technology –
http://www.nit.eu/publications/journal-jtit

Note: To be published in the IEEE SSH 2013 Proceedings and
IEEEXplore, an author of an accepted paper is required to register at
the full (member or non-member) rate and present the paper at the
conference.

Important Dates

Paper Submission: extended until July 10, 2013
Notification of acceptance: July 28, 2013
Submission of camera-ready papers: August 25, 2013

Organization

Pawel Swiatek, Wroclaw University of Technology, Poland
Katarzyna Wac, University of Geneva, Switzerland
Maria Martini, Kingston University London, UK

Service system innovations cannot change just one thing (systems thinking/design thinking).

Changing technology changes people’s skills and interaction patterns.

Changing people’s skills often impacts rules, rights, and responsibilities.

Changing rules, rights, and responsibilities often impacts customer and provider expectations and experiences.

One of the most fundamental laws of Economics and Service Science is Ricardo’s Law of Comparative Advantage.

http://en.wikipedia.org/wiki/Comparative_advantage

To me, Richardo’s is non-intuitive, surprising, and helps explain why there are so many service system entities in the world…

Benefits abound when entities

do a little bit more of what they are good at,

and a little less of what they are bad at,

and then use exchange to make up “the difference” in personal needs and wants…

Combine Richardo’s Law with learning curve benefits and technology automation benefits for routine actions,

and you get a ratchet-ing up of capabilities of entities that follow this simple rule…

so both co-creation of value and co-elevation of capabilities for entities that interact according to the simple rule

This is a fundamental observation of service science about the nested, networked service ecology and how it evolves over time…

Linking these concepts is also important:

http://en.wikipedia.org/wiki/Comparative_advantage

http://en.wikipedia.org/wiki/Learning_curve

http://en.wikipedia.org/wiki/Automation

http://en.wikipedia.org/wiki/Co-creation

http://en.wikipedia.org/wiki/Bootstrapping

http://en.wikipedia.org/wiki/Autocatalysis

https://en.wikipedia.org/wiki/Recapitulation_theory

http://en.wikipedia.org/wiki/Biological_organisation

http://en.wikipedia.org/wiki/Entropic_force

http://en.wikipedia.org/wiki/Flow_(psychology)

http://en.wikipedia.org/wiki/Model_of_hierarchical_complexity

http://en.wikipedia.org/wiki/Ambidextrous_organization

http://en.wikipedia.org/wiki/Ecology

“Civilization advances by extending the number of important operations which we can perform without thinking of them.”
Alfred North Whitehead, English mathematician

I was recently asked the following questions:

– What is ISSIP?

– What is a service platform?

– What is service science?

– What is a T-shaped professional?

– How is this related to your work at IBM with universities?

– What are the important future trends you see?

Here are my initial answers:

– What is ISSIP?

ISSIP = the International Society of Service Innovation Professionals

ISSIP is pronounced I-ZIP

ISSIP was founded by industry and academic collaborators to promote service innovations for an interconnected world.

Ammar Rayes, a Cisco DE, is the founding President of ISSIP.

Charlie Bess, an HP Fellow, is the founding Vice President of ISSIP.

Jeff Welser, Director IBM Almaden Service Research, is the VP elect for ISSIP.

I am one of the founding Board members, as well as chair of the ISSIP SIG Education and Research.

ISSIP SIG Education and Research aims to increase the quantity and quality of service science related courses and degree programs.

ISSIP SIG Education and Research aims to increase the number of T-shaped service innovators in business and society.

– What is a service platform?

A service platform has the reach to places and entities to scale the benefits of new knowledge globally and rapidly.

IBM’s Watson natural language and question answering capability will become available for smart phone app developers as a service platform.

Watson specializes in ranking queries that related semantic classes and instances, so for  the classes “Explorers” and “Dates”  – the instance “Columbus” is highly correlated with “1492” and less so with “1506” and “1451”.

IBM Smarter Cities Intelligent Operations Center is a service platform for scaling business solutions that improve the performance of urban regions.

IBM itself can be viewed as a service platform for scaling businesses and solutions with some 120 acquisitions in the last ten years alone.

Pharmaceutical companies be viewed as service platforms for scaling the benefits of new molecules.

Franchises are service platforms for scaling the benefits of new knowledge globally and rapidly.

Cities with high use airports can become negative-service platforms when they scale human viruses negative consequences globally and rapidly.

– What is service science?

ISSIP embraces the service-dominant-logic definition of service.

Service is defined, not as the tertiary economic sector, but more generally as the application of knowledge for mutual benefits.

Service innovations scale the benefits of new knowledge, globally and rapidly (and for businesses profitably).

Service innovations includes technology platforms (e.g., smart phones), organizational platforms (e.g., franchises) and others platforms for scaling.

Service science is the rigorous study of service systems and value co-creation phenomena, both collaborative and competitive mechanisms.

Value co-creation is a kind of win-win outcome – for example, when customers build their own furniture they can get higher quality components, but lower costs.

Performance measures of service systems include quality, productivity, compliance, and innovativeness.

Types of service systems entities include people, businesses, universities, cities, states, and nations.

Performance measures of a service ecology include resilience, sustainability, competitive parity, and quality-of-life (learning rates & knowledge burden).

– What is a T-shaped professional?

T-shaped professionals have both depth and breadth.

An I-shaped professional may be an expert, but lacks skills for interacting with other disciplines, sectors, and/or regions/cultures.

Pi-shapes and M-shapes have depth in two or three areas, but most employees today are I-shapes.

An organization or nation with more T-shapes is more likely to have higher performance teamwork as well as more boundary spanning innovations.

The T-shaped metaphor has been used for at least a couple decades, but ISSIP is working on making the concept more rigorous.

– How is this related to your work at IBM with universities?

At IBM I helped start IBM’s Venture Capital Group, Service Research area in IBM Research, and now run IBM’s University Programs worldwide.

IBM University Programs is concerned with the 6 R’s – research, readiness (skills), recruiting, revenue (universities are like small cities), responsibility, and regions.

Part of IBM Smarter Planet strategy is to help universities increase the quantity and quality of start-ups (Smart Camps).

IBM also wants to help start-ups scale up globally and rapidly.

Universities are the most important drivers of innovation in a knowledge economy, and more and more startups come from universities.

Many businesses instead of hiring a student with a new degree, would rather hire that same student after they have entrepreneurial experience, even if the start-up failed.

Most start-ups fail, but they create T-shaped people – which is what businesses want to improve performance of teams and boundary spanning innovations.

IBM acquires about one company a month for last ten years (see the IBM M&A wikipedia page)

By one estimate, 2/3 of these acquisitions started in a university-based entrepreneurial ecosystem.

SSME (Service Science Management and Engineering), Smarter Planet, Big Data Analytics, Data Science, Smarter Cities, and Urban Science – are all related.

IBM University Programs uses the 6 R’s to advance IBM’s Smarter Planet strategy, and increase the number of T-shaped innovators.

– What are the important future trends you see?

We have identified a number of important technological trends:  self-driving cares, cities that recycle their water, manufacturing as a local recycling service using robots and 3D printers, artificial leaf to solve energy shortages long term, Watson and Cognitive computing for smarter machines and systems, rapid building construction and recycling, social business for retail and hospitality, crowd-funding and gamification in finance, robotic surgery and 3D printed organs in medicine, challenge-based entrepreneurial learning, smart governance that balances improve strongest-line and improve weakest link policies.

Some of the answers are also embedded in the following presentations:

http://www.slideshare.net/spohrer/service-innovation-20130611-v1

http://www.slideshare.net/spohrer/ibm-smarter-planet-strategy-20130524-v5

Recently I was asked the following questions:

-How does IBM define service and SSME?

-Some consider SSME as applied research.  What are the basic research needs of SSME?

-Service sector counts for about 70% of U.S. GDP. Do you think we have sufficient R&D investment in this area either by Federal government or industry?

-Is there a particular need to develop next-generation workforce to be ready for a more service-oriented economy? If so, what are the particular skill-sets needed?

-Service science calls for highly cross-disciplinary and system-level research. What are the particular scientific challenges that require engineering research?

-What is IBM’s approach to integrate social behavior science into the service engineering research?

Here are my initial answers:

-How does IBM define service and SSME?

“Service” is defined in many ways by different people

Economist define “service” as the tertiary economic sector, which does not produce tangible output like agriculture and manufacturing

Computer scientists define “service” as a technological capability accessible via API (application programmer interfaces).

IBM business units define “service” as offerings from our Global Technology, Business, Process Service organizations that help customers solve a problem.

Service-dominant-logic and service scientists define “service” as the application of knowledge for mutual benefits (value co-creation phenomena)

IBM Research defines “SSME” as an emerging academic disciplines to make service innovation more systematic by understanding service systems rigorously

Most IBMers prefer the term “smarter systems” to “service systems” and “Smarter Planet curriculum” to “SSME”

Smarter Planet and smarter systems make it easier to communicate with customers.

Because smarter systems/service systems generate a lot of data, Big Data/Analytics/Data Science can be viewed as one aspect of Smarter Planet/SSME

Because smarter systems/service systems include cities, Urban Science can be viewed as one aspect of Smarter Planet/SSME

-Some consider SSME as applied research.  What are the basic research needs of SSME? 

SSME = Service Science Management and Engineering, service science for short

The applied research aspect of service science is the study of service systems (e.g., businesses & offerings, etc.) and service innovation methods

The theoretical research aspects of service science deal with the evolution of an ecology of service system entities and value co-creation phenomena

The basic research needs of service science go beyond performance measurements of individual service system entities or even types of entities.

The basic research needs of service science are rooted in mathematics of the evolution of species of service systems and value co-creation mechanisms.

The basic research questions dealing with accelerating learning curves of capabilities in a service ecology of nested, networked service system entities.

Types of service systems entities include individual people, families, businesses, universities, cities, states, nations, etc.

-Service sector counts for about 70% of U.S. GDP. Do you think we have sufficient R&D investment in this area either by Federal government or industry?

Economists measure 70%, but manufacturing and agricultural firms care about service innovation as well.

I think there is insufficient R&D investment in service research.

Here is what our current CEO thought was significant when we kicked off SSME efforts at IBM:
http://www.ibm.com/ibm/governmentalprograms/pdf/Issue_Paper_Services_Science_v.1.0.pdf

-Is there a particular need to develop next-generation workforce to be ready for a more service-oriented economy? If so, what are the particular skill-sets needed?

This is the focus of ISSIP.org – the International Society of Service Innovation Professionals

ISSIP (pronounced I-ZIP) promotes T-shaped service innovators, with depth and breadth, across disciplines, sectors, and regions/cultures.

We will have a T Summit at IBM Almaden Research Center on March 24-25, 2014 to explore this in more depth.

The skill sets include both traditional areas of depth, as well as breadth – boundary spanning, adaptive capacity, interactional experience, etc.

The skill sets associated with breadth come from working on many team projects solve real world challenges.

-Service science calls for highly cross-disciplinary and system-level research. What are the particular scientific challenges that require engineering research? 

All the of Smarter Planet and NAE Grand Challenge Engineering Challenges are relevant
http://www.smarterplanetchallenge.com
http://www.ieee.org/education_careers/education/university_programs/curriculum_resources/smarterplanetchallenge.html

However, the long-term challenges are for sustainability, resilience, competitive parity, innovativeness of nested, networked service system entities.

These issues are partially addressed in this paper.
http://servsci.journal.informs.org/content/4/2/147.abstract

-What is IBM’s approach to integrate social behavior science into the service engineering research? 

Historically, we have hired T-shaped social scientists, engineers, business students and worked to make them even more T-shaped!

More T-shaped means both increasing their depth and breadth.

Again, this is the professional development goal of ISSIP.org

Many “data scientists” and “urban scientists” will come from social science, engineering, management, arts & humanities backgrounds

-Jim

Dr. James C. Spohrer
Director, IBM University Programs World-Wide (IBM UP)
Innovation Champion (http://www.service-science.info/archives/2233)
IBM Almaden Research Center, San Jose, CA 95120 USA
spohrer@us.ibm.com
408-927-1928 (o)
408-829-3112 (c)

ReConCon is about re-imagining governance (or systems of rules).

The Founding Fathers of the United States did it, and people have been fighting and dying to preserve and evolve those rules for over two hundred years.

ReConstitutional Convention (ReConCon) is a Digital Age exploration of many of the same broader political themes.

Jake Dunagan of IFTF (Institute For The Future) is one of the driving forces behind ReConCon.

He recently mentioned that:

Several ReConCon participants will be part of Peter Leyden’s Reinventors’ Roundtable on Reinventing Governance. Join us on May 30!: http://reinventors.net/roundtables/reinvent-governance/

I agree with the organizers that rule innovation (governance) is as important as technological innovation for future designs.  Rule innovation is sometimes termed meta-rules or governance.  Perhaps rule innovation is even a form of technology innovation, in the broadest sense of technology as knowledge people use.

Paul Romer makes this point about the need for meta-rules and rule innovation in this Ted Talk about the need for Charter Cities.
http://www.ted.com/talks/paul_romer.html

The mathematics of why systems need rules, and not just technology (extra capacity) may be of interest too..
 http://en.wikipedia.org/wiki/Downs–Thomson_paradox
“It follows that increasing road capacity can actually make overall congestion on the road worse.”

Of course, just intuitively we know advanced material technology can cause advanced problems if we do not have advanced rules (intangible technologies?  improvements in moral understanding and moral character of entities in a system).  Of course, in complex systems with authority and privileged entities, distortions do occur, and sometimes breaking rules is a means to get to a more productive value co-creation state for the majority of entities.

If you want a hard problem to work on consider this:

(1) It is easy to imagine rapidly rebuilding technology innovations from some starting point, and even to imagine a useful end state (e.g., circular technological economy, spiraling upward in capabilities, in which minimum energy, minimum material, minimal build-recycle time are in place for all technologies and their transformations one to another).

(2) It is hard to imagine the same for rule innovations – what is the starting point (a minimum population growing to a larger population of entities?), what are the boundary conditions (one species in the population? multiple intelligent species with rights and  responsibilities?), what is moral understanding and improvement that parallels technological improvement paths?

No simple answers on this – so I would say it is a hard problem to work on — not sure ReConCon is there yet…. but I hope they get there soon.  Our future(s) may depend on it.

Service science is the study of value co-creation phenomena and the co-elevation of nested, networked service systems.

Cities and communities are of course service systems.

Here are some items, regarding improve-weakest-link and communities-mutual-learning, that may be of interest…

Check this out, curators of open data about communities…
http://www.datacatalogs.org
http://www.datacatalogs.org/about

Important role universities can play – if they have the data – Purdue TAP
Purdue Technical Assistance Program (TAP)
http://www.purdue.edu/newsroom/releases/2013/Q2/purdue-projects-help-cities-increase-efficiency,-cut-costs.html

Since 1986 TAP programs and services have assisted more than 12,000 organizations, trained more than 26,000 employees, created or retained $872 million in sales, increased capital investments by $217 million, contributed to cost savings of $107 million, and created or retained more than 11,000 jobs in Indiana. In addition to the 10 projects for the cities, students in the senior design class did another 21 projects, including seven for health care providers, three for Purdue Memorial Union and residence halls, and 11 for companies and manufacturers.

And let’s not be snobs – there have to be programs for people who do not go to college…
Switzerland National Service Apprenticeship Programs
My recent blog posting…
The Power of Apprenticeship Systems
https://service-science.info/archives/2850

I hope ISSIP.org T-shaped innovators can play a role in shifting the competitive framework of the planet…

We need a balance of improve strongest and improve weakest, much like the NFL Draft accomplishes.

Many companies see sustainable, resilient, competitive cities as important to the future.

https://service-science.info/archives/2604
People learning from people
Universities learning from universities
Cities learning from cities
Value co-creation and co-elevation
Businesses competing for collaborators, to scale up benefits of new knowledge on their platforms
Winners? Everyone as global innovation games improve cities’ competitive parity

Smarter Planet Challenge
http://www.smarterplanetchallenge.com

Student Projects

National Academies’ Grand Challenge Summits

The Service Solution Design group atIBM’s Almaden Research Center has an immediate opening for an experienced and outstanding computer scientist with deep subject matter expertise in statistics, machine learning, data mining, business process management and text analysis areas of Computer Science and Operations Research.

Experienced candidates with a Ph.D degree in Computer Science and a strong interest in discovery of business and societal insights from the Big Data of complex service systems are invited to apply.

Based in Silicon Valley California, the Service Research group at IBM’s Almaden Research Center conducts research leading to the development of improved solution offerings for customers as well as analytical tools to study, manage, engineer, and design complex service systems.

Research challenges we investigate include: What are the characteristics of an effective service solution? How to measure the quality of a service solution being proposed? How and what can be learned from prior service engagements to improve the quality of future service solutions? What are the root causes for inefficiencies in a service solution lifecycle management? How to identify similar service solutions? Which service solution sets are candidates for ‘service products’? Etc.

We apply, advance, and publish research in the areas of statistical analysis, text analysis, business process management, case management, social business process management to address the above stated research questions.

We strive to stay at the cutting edge of framing problems and defining solutions in the emerging area of Service Science.

Our team members have won best paper awards from prestigious conferences and journals such as INFORMS and Decision Sciences Journal in the past. We are looking to add an outstanding researcher to the team to investigate the above exciting problems.

Computer Science PhD required, Masters degree or courses in SSME a plus.

Interested candidates may send their resumes to Rama Akkiraju at: akkiraju@us.ibm.com