AHFE HSSE: The Human-Side of Service Engineering – San Diego, CA UA
Completed papers due: Feb 1, 2020
Conference Sessions: Jul 18-20, 2020
Website: http://ahfe2020.org/board.html#hsse

AHFE umbrella conference: 2000+ attendees
HSSE sub-conference: 75-100 attendees, 50 papers in proceedings, up to 5 best paper awards

Welcome, Agenda, Opening Presentation, Discussants
July 18 – Saturday 08:00-10:00am
Co-Chair C. Leitner, UK christine.leitner@cepanet.eu
Co-Chair J. Spohrer, USA spohrer@us.ibm.com
Co-Chair Emeritus L. Freund, USA louis.freund@sjsu.edu
Co-Chair Emeritus W. Cellary, Poland cellary@kti.ue.poznan.pl
Opening Plenary V Stodden, USA vcs@stodden.net
Possible Discussion with D. Norman, USA

V Stodden (USA)	ID: 1537	Toward a computable scholarly record – meta science and engineering reproducibility in the era of AI
Video: D Norman (USA)	ID: 447	Design for 21st Century – towards Service Design – https://jnd.org/ – scroll down to first video

Research Approaches to Service Innovation: Organizational Perspectives
July 18 – Saturday 10:30-12:30
Co-Chair L. Anderson, USA lca@us.ibm.com
Co-Chair K. Lyons, Canada kelly.lyons@utoronto.ca
Co-Chair Y. Sawantani, Japan yurikosw@gmail.com

L Anderson (USA)	ID: 84	Research Approaches to Service Innovation: Organizational Perspectives
C Jackson (USA)	ID: 195	Methodological Reinforcements: Investigating Work through Trace Data and Text
K Lyons (Canada)	ID: 413	Methods for Analyzing Service Innovation in Software Development
L Anderson (USA)	ID: 416	Service Design approaches to drive employee engagement
R Alexander (Canada)	ID: 489	Barriers to Service Innovation using Data Science
C Wolf (USA)	ID: 778	Innovation-as-a-Service: Emergent Lessons from an AI Innovation Management Project
Y Sawatani (Japan)	ID: 83	Effectuation model for large companies

Applying Service Design Techniques to Healthcare
July 18 – Saturday 13:30-15:30pm
Co-Chair M. Warg, Germany mwa@fh-wedel.de
Co-Chair A Zolnowski, Germany andreas.zolnowski@signal-iduna.de

M Warg (Germany)	ID: 88	Architecture and its multifaceted roles in enabling value co-creation in the context of Human-Centered Service Design
R Rittweger (Germany))	ID: 120	Value co-creation as core of service innovation:  impacts of a case study of a fully digitized  health insurance company
D Miller (USA)	ID: 124	Improving the user experience for healthcare professionals using a conversational agent to complete business intelligence analysis
I Bahrs (Germany)	ID: 135	Design principles for health service innovations:  nudges from the IBM health records service platform
M Frosch (Germany)	ID: 161	A conceptual framework for workforce management:  Impacts from Service Science and S-D Logic
P Weiss (Germany)	ID: 538	Microfoundations for Building Systems of Engagement: Enable Actor Engagement Using Service Dominant Ar-chitecture
A Zolnowski (USA)	ID: 544	Analyzing the Role of Artificial Intelligence in the Development of Human Centered Service
E DelVacchio (Italy)	ID: 663	Digital strategy with blockchain in healthcare ecosystem. application of service-dominant architecture (sda) framework

Emerging Research Innovations in AI, User Experience, and Design Applied to Industry, Business, and Education
July 18 – Saturday 16:00-18:00pm
Co-Chair D. Satterfield, USA debrasatterfield@gmail.com
Co-Chair T. Abel, USA Troy.Abel@unt.edu

Panel 1:

T Tredway (USA)	ID: 600	Locked Out: Engaging Design Students in UX and Access Design Processes to Address Homelessness in Los Angeles
S Kang (USA)	ID: 570	Thoughts on Future Design Education
SD Seo, (USA)	ID: 288	A new approach for implementing UX/UI Education focusing on conceptual framework with a development of the story telling for design thinking
J Ewald (USA)	ID: 1394	Hawking the Hawk Tool: Going Beyond Visual Sensory Content in Product Promotions
K Mitchell (USA)	ID: 898	Creating Socially Conscious Designers Through the Lens of Empathy

Panel 2: Date/Time TBD

D Satterfield (USA)	ID: 94	Emerging Research Innovations in AI, User Experience, and Design as they apply to Industry, Business, and Education
C White (USA)	ID: 812	The Human element in the decomposition of a monolithic architecture
R Kirk (USA)	ID: 197	Mitigating Misinformation
C Wolf (USA)	ID: 771	The Work of AI: Sociotechnical Practices around Accessibility in Contemporary Software Engineering
S Ganchev (USA)	ID: 609	Reducing city congestion and pollution by increasing adoption of Carsharing and Micromobility services.

Challenges and Opportunities designing Smart Service with Artificial Intelligence (AI)
July 19 – Sunday 08:00-10:00am
Chair W. Ganz, Germany Walter.Ganz@iao.fraunhofer.de

U Karmarkar (USA)	ID: 70	Managing collaborative teams – leadership, incentives, effort and design
W Ganz (Germany)	ID: 526	Typology-based analysis of artificial intelligence in service companies
J Neuhüttler (Germany)	ID: 698	Artificial Intelligence as driver for Business Model Innovation in Smart Service Systems
J Spohrer (USA)	ID: 406	Perspectives on “Challenges and Opportunities designing Smart Service with Artificial Intelligence (AI)”

Service Ethics and Trusted AI
July 19 – Sunday 10:30-12:30pm
Co-Chair J. Spohrer, USA spohrer@us.ibm.com
Co-Chair S. Parikh, India drsparikh@a3rmt.com

A Roy (USA)	ID: 921	Responsible Innovation
C Nebeker (USA)	ID: 960	Resources to foster ethicality among AI/Digital health stakeholders [Revised title]
S Martins (Brazil)	ID: 419	The use of digital technologies and the transformation of work in a hemodialysis clinic
A Zimmermann (Germany)	ID: 772	Evolution of Smart Service Architectures Through Cognitive Co-Creation
P Maglio (USA)	ID: 857	AI, Ethics, and Service

AI Designed to Support Healthy Aging
July 19 – Sunday 13:30-15:30pm
Co-Chair H-C.Kim, USA hckim@us.ibm.com
Co-Chair C. Nebeker, USA nebeker@ucsd.edu

H Kim (USA)	ID: 86	AI Designed to Support Healthy Aging
C Emmenegger (USA)	ID: 761	Vehicle Automation Will Not Save Our Seniors
Y Yamada (Japan)	ID: 876	Towards predicting future accident risks of older drivers from interaction data with smart speakers
C Nebeker (USA)	ID: 881	Ethical, Regulatory and Social Implications of Digital/AI Health Research to Support Healthy Aging: Considerations for Consent and Return of Results
D Jeste (USA)	ID: 930	AI and Mental Health Factors for Supporting Healthy Aging
C Depp, (USA)	ID: 935	Moving from data to behavior change in healthy aging

Knowledge Science in Practical Service Situations
July 19 – Sunday 16:00-18:00pm
Co-Chair: Y. Kohda, Japan kohda@jaist.ac.jp
Co-Chair: N. VanHuynh, Japan huynh@jaist.ac.jp

Y Kohda (Japan)	ID: 119	Knowledge Science in Practical Service Situations
P Rerkjirattikal (Japan)	ID: 169	Job satisfaction study and nurse rostering optimization framework: a survey of nurses in Thailand
TP Nguyen (Japan)	ID: 174	A Novel Classification Framework Based On Fuzzy Clustering and Bayesian Reasoning for Healthcare Application
N Seki (Japan)	ID: 198	Barriers for service innovations in B2B context: Agile software development adoption and rejection in Japanese organizations
R Singhaphandu (Japan)	ID: 303	Analysis and Feedback of Movement in Manual Assembly Process
Ki Tieng (Japan)	ID: 378	Revisiting Internal Mechanism of HRM Practices in Creating Values for Product Innovation: An Application of Fuzzy Set QCA
H Gokon (Japan)	ID: 690	Towards an application of remote sensing technology for decision making during natural disaster
H Endo (Japan)	ID: 746	Case Study on Multinational Knowledge to IT Servicers in Digital Transformation Era

Service Robots and Trusted AI: Customer Response to Robots as Front-Line Employees (FLE)
July 19 – TBD
Co-Chair J. Spohrer, USA spohrer@us.ibm.com
Co-Chair M. Rosenbaum, USA MAROSEN@mailbox.sc.edu

Digital Services for Product Innovation
July 20 – Monday 08:00-10:00am
Co-Chair C. Zagel, Germany christian.zagel@hs-coburg.de
Co-Chair F. Bodendorf, Germany freimut.bodendorf@fau.de

C Zagel (Germany)	ID: 90	Digital Services for Product Innovation
M Fricke (Germany)	ID: 418	Influencer Analytics for Product Trend Detection
H Hasenknopf (Germany)	ID: 768	Why Do You Listen to this Crap?! Black Metal under the Lens of S-D Logic.
N Hajinejad (USA)	ID: 810	Using the concepts of morphological psychology to inform design for everyday life
R Fischer (Germany)	ID: 843	Requirements for digital services in the context of sustainability derived from the course „consume less, create more“
L Pieper (Germany)	ID: 865	“Innovation? Yes, I can“–Individually perceived creative self-efficacy as an effect of vividness targeting creativity methods
C Zagel (Germany)	ID: 922	Service Innovations for Cyborgs – Human Augmentation as a Self-Experiment
A Niels (Germany)	ID: 1013	Influence of survey link locational placement on the user rating

Citizen and Public Sector Empowerment
July 20 – Monday 10:30-12:30pm
Chair C. Leitner, UK christine.leitner@cepanet.eu

B Schenk (Germany)	ID: 248	Local Public Services – a balancing act between public service providers and customer expectations
C Stiefmueller (UK)	ID: 848	Open Banking and PSD2: The promise of transforming banking by ’empowering customers’.
M Ehret (UK)	ID: 432	Institutionalization of Service Systems. The Case of Mobile Payments in Nigeria
L Walletzký (Czech Republic)	ID: 1345	Multi-contextual view to Smart City Architecture
D Simmons (USA)	ID: 910	The Impact of Out-of-Class Activities on NAE’s Engineer of 2020 Outcomes for Civil Engineering Undergraduates
C Leitner (UK)	ID: 1336	Empowering European Mobile Youth: Case studies from Austria and Estonia
C Leitner (UK)	ID: 1273	Transforming local government –  challenges for public management programme development

Service Systems and Economic Development
July 20 – TBD
Chair M. Ehret, UK michael.ehret@ntu.ac.uk

Service Science and Knowledge Science in the AI Era
July 20 – Monday 13:30-15:30pm
Co-Chair J. Spohrer, USA spohrer@us.ibm.com
Co-Chair Y. Kohda, Japan kohda@jaist.ac.jp
Co-Chair C. Bassano, Italy cbassano@unisa.it

J Spohrer (USA)	ID: 77	Solving AI and Service Science: Technology and Human-Side Perspectives
H Hastings (USA)	ID: 433	Value-dominant logic: An evolving quantum theory of economics.
C Bassano (USA)	ID: 444	Intelligence Augmentation (IA) in complex decision making:  the contribution of the VSA concept of Relevance
K Kaul (Italy)	ID: 496	Improving learning effectiveness in workforce intensive companies: An experimental model
A Rossmann (Germany)	ID: 818	The Impact of Chatbots on Customer Service Performance
F Polese (Italy)	ID: 1074	From multidisciplinary to transdisciplinary perspectives on solving AI and Service Science
Y Kohda (Japan)	ID: 264	Can humans learn from AI? A fundamental question in knowledge science in the AI era

Closing – Awards, Recognition, and Planning
July 20 – Monday 16:00-18:00pm
Co-Chair C. Leitner, UK christine.leitner@cepanet.eu
Co-Chair J. Spohrer, USA spohrer@us.ibm.com

Additional parallel sessions will be added as needed – see topics: http://ahfe2020.org/board.html#hsse

Conference papers published in Springer conference proceedings.

Up to five best paper awards
1st $500
2nd $200
3rd $100
4th $100
5th $100
Thanks to ISSIP.org for sponsoring the best paper awards: http://www.issip.org/recognitions/issip-awardees/

ISSIP sponsored conferences include AHFE HSSE, Naples Forum (HSSE), icServ, as well as HICSS.

Interested?
(1) Abstract due by Dec 16th (ask co-chairs for extension if needed) – just click on this link – https://www.ahfe-cms.org/author#/ChooseTrack

(2) You may need to create a user name and password – which just takes a couple minutes.

(3) When you select the conference track for the abstract – “The Human Side of Service Engineering” is in the list 6th from the bottom:

(4) Then add text for your title and abstract, and have the text for your short bio also handy…

Hope to see you in San Diego next July!!!

ISSIP awards provide recognition and career development opportunities to ISSIP.org members.

ISSIP’s best paper awards encourage members to attend key conferences and share their insights with others. The next opportunity is to submit a 500 word abstract before December 1st to the Human-Side of Service Engineering Conference, San Diego, CA USA July 18-20. Submit an abstract here.

ISSIP’s annual excellence in service innovation award recognizes top service innovation of the year. The next opportunity to submit a proposal for evaluation is before January 31st, 2020. Submit a proposal here. ISSIP seeks to identify good practices in service innovation constantly. For example, to help advance the growth of skills and jobs related to service innovation, ISSIP is participating in this current EU/EC project. There are also past and present NSF projects underway.

ISSIP Ambassadors are distinguished members of the community recognized for their contributions to service innovation for an extended period of time, as well as outreach on behalf of ISSIP (typically including an ISSIP message in one of their specialized conferences). Active members of ISSIP (attendance at an ISSIP sponsored conference or event, as well as attending an ISSIP Board of Directors online meeting) are encouraged to self nominate to learn more about criteria for this community recognition.

ISSIP VP/President elections are held annually and recognize leaders who help advance ISSIP with an agenda – the VP elected becomes the President in the following year. While there is only one winner each year, all who are nominated and approved by the election community have demonstrated a commitment to advancing service innovation.

ISSIP Fellows are the highest honor offered, for those ISSIP members whose contributions to service research and practice, and/or the ISSIP community is truly a lifetime of achievement. There is no formula for winning this level of recognition – it is truly only achieved through a career of dedication to service innovation excellence.

ISSIP BEP book collection authorship can help members share a longer message with the community. This type of recognition helps other members understand the driving innovation that peers are seeking to contribute to the world.

ISSIP Volunteers are called out during the ISSIP Board of Directors meeting. Volunteers are the lifeblood of ISSIP and members are encouraged to volunteer for one-year assignments – as well as to create their own volunteer assignments that can be recognized.

There are many more ways to get involved and receive ISSIP member recognition – please take time to join and explore the ISSIP.org website for more ideas.

The 10th International Conference on Exploring Service Science, IESS 2.0, will be organized by the Faculty of Engineering of the University of Porto (FEUP), on February 05-07, 2020 in Porto, Portugal. The conference will bring together academics, service industry practitioners and their worldwide partners in a collegial and stimulating environment. According to its tradition, IESS 2.0 will cover major areas of R&D and education related to service science and service innovation, including new emerging research trends. Contributions should be grounded in one or several contexts and multi-disciplinary approaches are particularly encouraged.

CONFERENCE TOPICS
Papers are solicited on topics related to one or several topics of the following list, but not limited to them. Contributions should be grounded in one or several contexts, and be open to multi-disciplinary approaches.
• Open Topics for Exploration in Service Science
– Design Science Research in Services
– Business transformation/expansion through Service Science
– Sustainability and Resilience in services
– Governance of service systems
– Governance by means of services
– Multi-disciplinary and multi-organizational services
– Emerging Science Research in Services
• Service Design and Innovation:
– Bringing service design and design thinking into innovation processes
– Integrating service design and technology approaches to service innovation
– Service design and innovation in technology enabled services
– Service design and innovation in complex value networks and ecosystems
– Embedding service design and innovation in the creation of new product systems
– Involving customers and other actors in service design and innovation
– Research in service design and innovation
• Service Business Models:
– Innovation of new service business models driven by ICT
– Data/Service-driven Business Model Innovation
– Organizational transformation triggered by service innovation
– Methods and tools for business model innovation
– Socio-economic changes triggered by services
– Design of digital services and digital service systems
• Digitalization of Services:
– Application of machine learning and AI to address service challenges
– Social media analytics for service business and service systems
– Data/Service-driven methods to manage and measure customer experience in services
– Big data technology to improve well-being through transformative service
– Advanced analytics in smart service systems
– Design and development of Smart Service platforms and processes
– Services for flexible and scalable data management and integration
– Real-time data integration and processing as services
– Responsible Semantic web technologies for Smart Services
– Marketplaces for offering Smart Services
– Services for sensor data processing and integration
– Self-organizing and autonomous systems as services

STEERING COMMITTEE COORDINATORS
Michel Léonard, University of Geneva, Switzerland
João Falcão e Cunha, University of Porto, Portugal

PROGRAM CHAIRS
Henriqueta Nóvoa, University of Porto, Portugal
Monica Drăgoicea, University Polithenica of Bucharest, Romania
Niklas Kühl, Karlsruhe Institute of Technology (KIT), Germany

PUBLICATIONS
Authors are kindly asked to submit original, not published or being considered elsewhere full papers in Springer LNBIP format via the Easy Chair conference management system that will be available on the conference website http://iess2020.fe.up.pt.
Contributions must be submitted in English and are limited to 14 pages (maximum), according to the paper formatting rules (website: “Submission/Instructions for authors” tab). Submissions will be evaluated through a double-blind review process.
All accepted and presented papers will be published in the Springer Series “Lecture Notes in Business Information Processing”, abstracted/indexed in CPCI (ISI) Proceedings, SCOPUS, DBLP, EI, Google Scholar and Springerlink.
At least one author for each accepted paper must attend the conference and present the work. The online submission system will be available on the conference website: http://iess2020.fe.up.pt.

IMPORTANT DATES
OPEN PAPER SUBMISSION May 1, 2019
DEADLINE FOR PAPER SUBMISSION September 15, 2019
NOTIFICATION OF ACCEPTANCE (FULL PAPER) November 1, 2019
CAMERA READY November 22, 2019
CONFERENCE February 5 – 7, 2020

We look forward to your submissions as well as welcoming you in Porto, for this very special 10th edition of the IESS Conference.
If there are any questions left, don´t hesitate to contact us at iess2020@fe.up.pt

CONTACTS
Email: iess2020@fe.up.pt
Facebook: facebook.com/iess2020
Twitter: twitter.com/iess2020

IAMOT 2020 Cairo, Egypt April 5-9. Call for Abstracts – Deadline Oct 15, 2019. https://easychair.org/conferences/?conf=iamot2020

• 

The 29th International Conference on Management of Technology (IAMOT) invites academicians, policy makers, technology experts and business leaders concerned about the impact of technology on our life, organizations and people to share their knowledge and expertise on how to leverage the management of technology for the future that we want. Technology is the main factor that is changing the world as we know it today, the conference aim is to advance and support the practice of Management of Technology for the betterment of our organizations, societies, and future. The conference will bring the most pressing technology-related issue for an in-depth analysis, discussion and study to facilitate the transformation of knowledge and exchange of expertise.

THEME
Towards the Digital World & Industry X.0. The theme is interdisciplinary enough to cover the entire ecosystem that includes, technology, management, strategy, business, economy, development studies and innovation, to name a few. the focus is on what technology is brining in terms of future opportunities, possibilities, risks and the latest thinking in management to leverage the benefits of technology while mitigating the risk associated with it.

PRELIMINARY TOPICS
Towards a Digital World
Industry 4.0 and beyond
Science and technology policy
National systems of innovation
R&D infrastructure and management Entrepreneurship, new ventures and SMEs SME’s and their challenge
Data analytics
IOT and smart cities
Development of Africa
MOT Education & Theory
Industrial & Manufacturing Technologies Bioengineering and emerging technology New service and product development Technology Disruption through start-ups Complex Systems, Cultural, Social and human issues
Strategic issues, competitiveness, quality & productivity
E-commerce, supply chain management, and virtual organisations
Technology transfer, partnership and sustainable development
Technology issues and Management of technology in developing countries Intellectual property for economic growth IPR ecosystem in developing countries Diffusion and adoption of technologies Management of emergent and disruptive technology
Project and program management Competitiveness in globalized world Safety and risk management in technology development project
Technology and Sustainability

ABSTRACT SUBMISSION
Please submit a one page abstract including keywords and topic from the list of topics of the conference. Preference is given to papers that have application to a sector of the economy such as Manufacturing, Agriculture, Tourism, Healthcare, Banking,Transportation, Water Resources, etc.

DEADLINES

• Submission of abstracts: October 15, 2019
• Notification of acceptance of abstract: November 15, 2019
• Submission of full papers: December 15, 2019
• Notifications of acceptance and changes: January 15, 2020
• Final paper submission: February 15, 2020

Call for Abstracts:
https://easychair.org/conferences/?conf=iamot2020

In the future, as is true today, there are number of types of jobs and work.

Enterprise worker: Working for an enterprise that pays you – this can be like working for IBM, the US government, MIT, the Red Cross, or other organizations. O*NET lists the roughly 1000 types of occupations in these organizations, and with the rise of AI – organizations will employ people who know how to use AI to augment their performance and take responsibility for a set of outcomes and processes within the enterprise. See O*NET.

Platform worker: Self-employed entrepreneurs (e.g., founders of your favorite startup) and gig economy workers (e.g., your favorite Uber driver) who depend on customers, venture capital firms, as well as enterprises with platforms that help people gain an income through the use their platform or other offerings. See sole proprietorship, entrepreneurship and temporary worker/gig economy.

The above two types of work depend on large enterprises including large corporations to exist. For example, the Forbes Global 2000 enterprise workers as well as self-employed platform workers that depend on a large enterprise. The next two are less dependent on large enterprises and corporations.

Appropriate technology worker: A worker who is able to provide for self and dependents through knowledge of the built-environment and how to maintain it. For example, getting energy from windmills that one knows how to maintain. Recycling and re-using materials are in this category of work. Abilities both to use and maintain are key for sustainability. See DIY and appropriate technology.

Primitive technology worker: A worker who is able to provide for self and dependents through knowledge of the natural environment. Hunter gathers and farmers have traditionally been in this category, but use of local AI devices is changing the nature of this type of work. See maker culture and primitive technology.

These are the types of jobs and work that have existed for a long time, and now they are changing through the use of local AI – a type of technology that augments human intelligence, including what to do and how to do things.

An IBM colleague recently sent me a pointer to an interesting article about how scientists and researchers are increasingly using familiar tools like Mathematica to get the benefits of AI/ML/DL with no coding required (Hutson 2019).

At IBM CODAIT (Center for Opensource Data and AI Technologies) making AI/ML/DL more accessible to data scientists and AI developers is part of an on-going mission to democratize AI in the enterprise, for business and society (Bommireddipalli 2018). The Model Asset eXchange (MAX) and the Data Asset eXchange (DAX) are great places to start. The developers of AI-powered applications need AI models and data scientists need data – so MAX and DAX provide good starting points.

Of course, with a little bit of programming experience one can do even more!

References

Bommireddipalli V, Fu MM, Holt B, Malaika S, Singh A, Spohrer J, Truong T (2018) Open source and AI at IBM. 20181212 URL: https://developer.ibm.com/blogs/open-source-ibm-and-ai/

Hutson M (2019) No coding required: Companies make it easier than ever for scientists to use artificial intelligence. “… software program, Mathematica, added machine learning tools that were ready to use, no expertise required. He began to play around, and realized AI might help him choose the plausible geometries for the countless multidimensional models of the universe that string theory proposes. …. One of the latest systems is software called Ludwig, first made open-source by Uber in February and updated last week. Uber used Ludwig for projects such as predicting food delivery times before releasing it publicly. Ludwig can train itself when fed two files: a spreadsheet with the training data and a file specifying which columns are the inputs and outputs. Once it learns to recognize associations, the software can process new data to label images, answer questions, or make numerical estimates. At least a dozen startups are using it, plus big companies such as Apple, IBM, and Nvidia, says Piero Molino, Ludwig’s lead developer at Uber AI Labs in San Francisco, California.”  20190731 URL: https://www.sciencemag.org/news/2019/07/no-coding-required-companies-make-it-easier-ever-scientists-use-artificial-intelligence

HCIS 2020: 14^th International Conference on Human-Centered Intelligent Systems
June 17-19, 2020 | Split, Croatia

Register here: http://hcis-20.kesinternational.org

Part of KES Smart Digital Futures (SDF 2020) http://sdf-20.kesinternational.org

Aim

Contemporary advances in the field of artificial intelligence have led to a rapidly growing number of intelligent services and applications. Artificial intelligence is often characterized in an impersonal way: on this view, intelligent systems operate entirely independently of human intervention. Public discourse on ‘autonomous’ algorithms which work on ‘passively’ collected data contributes to this view. However, this perspective obfuscates the extent to which human work necessarily underpins and enables contemporary AI systems. The human element in intelligent systems includes tasks such as optimizing knowledge representations, developing algorithms, collecting and labeling data, and deciding what to model in the first place. Investigating artificial intelligence from a human-centered perspective requires a deep understanding of the role of human ethics, practices, and preferences for the development of—and interaction with—intelligent systems.

Dates, Conference and Publication

• Submission Deadline: 10 January 2020
• Acceptance Notification: 10 February 2020
• Camera Ready Submission: 10 March 2020
• Presentation at Conference: 17-19 June 2020
• Publication: Springer; Series on Smart Innovation, Systems and T echnologies

Scope

We invite research- and practice-based contributions to the Human-Centered Intelligent Systems (HCIS) conference, which is collocated under the umbrella of KES Smart Digital Futures. The conference will have a general track and will also include a set of specialized invited sessions. We are also calling for organizers of invited sessions who would like to address special related subjects (http://hcis-20.kesinternational.org). The following topics define the conference scope, although other associated subjects may be applicable.

Optional: We invite advanced students as well as doctoral students to submit papers and attend the Doctoral Consortium. The Consortium will have a plenary session followed by an individual mentoring session. Each student will present his/her research project, including research questions and goals, the stage of their research process, and future research plans.

Digital Humanism and Artificial Intelligence

• Ethics and Value Alignment in Human-Machine Interactions
  • Ethical Decision-Making and Intelligent Systems: Fairness and Equality, Transparency, Explanation, Privacy, Safety, Responsibility, Reflection
  • Value Trade-Offs and Ethical Dilemmas
  • Distinctively Human Qualities: Expertise, Judgement, Intuition, Empathy, Moral Compass, Creativity
• Political and Social Dimensions
  • Social Computing and Artificial Intelligence
  • Human Rights
  • Democracy, Inclusion, Freedom of Speech
  • Effective Regulation, Policy-Making, and Legal Compliance
  • Ethical Leadership in the Deployment and Procurement of Intelligent Systems
  • Impact of Information Technology on Business and Society

Artificial Intelligence and Cognition

• Smart Interpretation of Images, Numbers, Texts, Voices, Dialogs, Sensors, Actors, Information, Signals, Events
• Cognitive Computing and the Internet of Things
• Human and User Modeling
• Knowledge Technologies and Semantic Web

• Knowledge Modeling, Representation, Reasoning and Inference
• Transparency, Explanation and Rationality
• Real-Time Data Stream Processing
• Machine Learning and Big Data Analytics
• Statistical Learning
• Clustering and Classification

• Neural Networks and Deep Learning
• Support Vector Machines
• Pattern Recognition
• Analytic and Rational Machines
• Decision Support, Simulation and Management
• Transformation of Human Tasks

Intelligent Services and Architectures

• Intelligent Digital Systems and Services Architecture, Modeling and Engineering
• Digital Business, Products, Services, and Systems
• Resilient and Adaptive Software Architecture
• Digital Enterprise Architecture
• Internet of Things and Sensor Networks
• Robotics and Remote Control
• Recommender Services and Chatbots
• Intelligent Platforms and Ecosystems
• Blockchains and Distributed Transactions
• Cyber Security, Identity and Digital Rights Management
• Innovation in Service Engineering, Delivery, and Quality Assessment
• Social Network Modeling and Intelligent Systems

• Knowledge Modeling and Cognitive Maps
• Human-Centered Service Systems
• Dynamics of Action and Interaction

• Adaptive Systems, Services, and Processes
• Reliability and Resiliency
• Digital Business Modeling and Management
• Virtual Environments
• Ecology of Service Systems
• Smart and Wise Systems
• Complexity of Socio-Technical Systems
• Systems Evolution and Innovation Processes

Intelligent Interaction and Visualization

• Mobile Technologies and Intelligent Services

• Intelligent Audio, Video and Signal Processing
• Intelligent Language Analytics and Generation
• Speaker and Sound Recognition
• Intelligent Visualization, Interaction, Collaboration and Communication
• Intelligent Virtual and Augmented Reality
• Intelligent Human-Computer Interaction
• Intelligent Multimodal Interactive Systems
• Intelligent Dashboards and Adaptive Hypermedia Systems
• Intelligent User and Role Models
• Intelligent Affective Computing
• Process and Systems Monitoring
• Systems Diagnostics and Transparency
• Resilient Systems
• Autonomous Control
• Ergonomics, Interaction and Visualization
• Human Factors and Aging
• Ergonomics and Design
• Human Factors in Software, Service and Systems Engineering
• Usability and User Experience
• Interaction and Game Design
• Robots and Unmanned Systems
• Simulation Environments and Systems
• Safety Management and Human Factors

Intelligent Applications and Use Cases

• Smart Systems in Science, Medicine, Health Care, Management Systems, Administration, Finance, Banking, Insurance, Consulting, Knowledge Transfer, Retail, Manufacturing, Logistics, Smart Energy, Industrial Environments, Smart Cities, Smart Home, Architecture and Sustainable Urban Planning, etc.
• Industry 4.0: Advanced Digital Manufacturing, Management and Process Control
• Sensor and Actor-based Autonomous Systems and Robotics

• Intelligent Science and Educational Services
• Intelligent Digital Libraries

 

Submission Guidelines and Review Process

Authors are invited to submit original, unpublished papers which are not under review for another conference, workshop, or journal by the time of submission. The contributors should address one or more research areas included above.

Detailed submission information is available on the conference page:  http://hcis-20.kesinternational.org (“Information for Authors—Submission of Papers”).

Submitted papers will undergo double-blind peer review by at least two members of the program committee. Prior to submission, please ensure that you have removed any information from your paper which could identify the authors. Paper acceptance is based on the following criteria: novelty, technical soundness, practical or theoretical impact, clarity, and presentation. At least one author per paper submission is required to register for the conference, and to present the paper.

Organization

Honorary Chairs: T. Watanabe, Nagoya University, Japan, and L. C. Jain, University of Canberra, Australia and University of Technology Sydney, Australia
General Chair: Alfred Zimmerman, Reutlingen University, Germany
Executive Chair: R. J. Howlett, University of Bournemouth, UK
Program Chair: Rainer Schmidt, Munich University of Applied Sciences, Germany
Publicity Chair (Local):

International Program Committee

The list of the IPC members will be added shortly to the conference page.

AAAI Fall Symposium Series

AI in Government and Public Sector Fall Symposium

Preliminary Call for Participation (Deadline July 26)

Conference November 7-9, 2019, Washington DC

The democratization of AI has begun. AI is no longer reserved for a few highly specialized enterprises. As free, easy-to-deploy AI models proliferate, we see that simple, localized, but nonetheless very useful AI applications are beginning to pervade society. Government and the public sector are not immune from this trend.

However, AI in Government and the Public Sector faces unique challenges and opportunities. These systems will be held to a higher standard since they are supposed to operate for the “public good.” They face increased scrutiny for transparency, fairness, explainability, and operation without unintended consequences. Governments provide critical services and are expected to be the provider of last resort, sometimes backstopping the commercial sector. How can the development, deployment, and use of these systems be managed to ensure they meet these requirements by design and in practice?

This symposium will focus on these unique elements of government and public sector AI systems. We invite contributions addressing topics including:

• Early areas for adoption of AI – What public sector problems exist where AI can play a large/important role without deep new experimentation? How can socially desirable challenges be configured to leverage AI’s strengths, in, for example, fighting terrorism, better serving vulnerable populations, understanding acquisition regulations, combating child trafficking, life-long education and training, etc.
• Using AI to encourage public service innovation – What areas are less immediately approachable by AI, but still pose an urgent need, and hence offer a significant enough financial and social reward to justify experimentation by public administrators? One example is administrative law cases in which there is a large need for AI/Automation due to the huge number of backlogged cases. What can be done to facilitate the use of AI in Government (e.g., standards) and what might hinder adoption of AI that the community might correct?
• Trust and Transparency – Ensuring transparency and comprehensibility in the governmental use of AI, to avoid anti-democratic preferential access and treatment to select members of society. This includes questions such as open data and accountability of both officials and AI systems, as well as open source code and almost certainly open models and training methods. The debate on whether open source is safer or less safe than closed source may be explored. Which presents a greater danger of hacking and external manipulation? What polices might be needed to mitigate problems and facilitate adoption?
• Robust & Resilient – Ensuring that AI systems are designed and built to be robust and resilient in the face of systemic, cyber, external manipulation and deception, and other risks. Are redundant AI systems a solution? While open code requirements allow the detection of back doors and other problems, how this will work with trained AI models? How to harden AI-based models from model poisoning designed to misdirect or bias results?
• Bias – Developing AI methods to support auditing to detect bias, and then benchmark any efforts to mitigate unwanted bias. What might be done to detect and mitigate unwanted bias in, for example, machine learning or data collection?
• Role of Public-Private Partnerships – What is the role of public-private partnerships in researching, creating, and operating AI systems for government? Should AI R&D institutes be created to enable multi- disciplinary research with academia and industry and provide a conduit for early adoption and transition of AI technologies in government? What other approaches should be considered to accelerate the development and adoption of AI in government? How can one establish and foster public-private partnerships around AI to the benefit of both?
• Verification and Validation for Deep Learning – Validation of deep learning models in government applications. Often the correctness of the classifications that a deep learning model implements is ultimately derived from regulation or some other complex text. How do we validate these models, when human interpretation is so much a part of the correctness criteria? As models continuously learn, how do we validate that they still meet their original specifications?
• Translating from .com to .gov – The reality is that .com adoption is happening faster than .gov adoption of AI. What best practices and approaches can be transferred from the .com experience to benefit .gov?
• Interaction Paradigms – Insights about various paradigms for AI usage in government operations, such as intelligence augmentation/human-machine collaborative approaches, various levels of autonomy, methods for

handling uncertainty / conflicting evidence and opinion, various types of users (government employees,

general public, elected officials).

Systematic Approach for the use of AI in government – Policies, methodologies, guides or elements in support of such use (e.g. taxonomies, ontologies). In deploying AI technologies to improve government operations, there can often be a tension between effectiveness and protecting ownership and control rights to information, both directly provided and derived, about private sector citizens and other entities, especially since worldwide governments regulate such issues differently. What are these tensions and trade-offs and how can they be addressed?

Privacy – Factoring into AI-based models Privacy issues as they relate to GDPR and other National and State regulations, compliance and penalty issues

Leveraging AI innovations from open source – There are hundreds of open source AI related projects focusing on several AI sub-domains such as deep learning, machine learning, models, natural language processing, speech recognition, data, reinforcement learning, notebook environments, ethics and many more. How can government entities leverage the abundance of open source AI projects and solutions in building their own platforms and services? Based on which criteria should we evaluate various projects aiming to solve same or similar problems? What kind of framework should be in place to validate these projects, and allowing the trust in AI code that will be deployed for public service?

Cultivating AI literacy – The relationship between the public sector and AI will benefit from a widespread acceptance of what constitutes AI. How can we have a productive conversation with the public? Would the conversation around AI benefit from having criteria for deciding when it is most productive to talk about AI as opposed to various closely related terms such as “modern automation”, “machine learning”, “software”, “computer science”, etc.?

AI engineering best practices – The increasing prevalence of machine learning in automation exposes AI to real-world data, raises concerns about data drift, data poisoning, adversarial AI, and more. The increasing complexity of probabilistic models and data pipelines raises the cost of understanding a system well enough to fix it when it breaks. These diverse concerns urgently call for AI engineering guides to help ensure robustness and transparency in AI solutions What new software engineering challenges does AI pose? What new best practices or standards for engineering AI are required? Do new best practices for engineering AI conflict with existing software engineering best practices?

Incentivizing AI engineering best practices – The ability of the government and public sector to leverage AI depends in part on the availability of AI implementations that attain the highest levels of transparency, in terms of the documentation, the modularity of implementation, adherence to potential standards. How should the government incent appropriate discourse and resolution of these issues? Should this happen under the umbrella of academia or elsewhere?

Submissions The symposium will include presentations of accepted papers in both oral and panel discussion formats, together with invited speakers and software demonstrations. Potential symposium participants are invited to submit either a full-length technical paper or a short position paper for discussion. Full-length papers must be no longer than eight (8) pages, including references and figures. Short submissions can be up to four (4) pages in length and describe speculative work, work in progress, system demonstrations, or panel discussions.

Please submit via the AAAI EasyChair.org site choosing the AAAI/FSS-19 Artificial Intelligence in Government and Public Sector track ( https://easychair.org/conferences/?conf=fss19 ). Please submit by July 26. Contact Frank Stein (fstein@us.ibm.com) with any questions.

Organizing Committee Frank Stein, IBM (Chair); Mihai Boicu, GMU; Lashon Booker, Mitre; Michael Garris, NIST; Mark Greaves, PNNL; Ibrahim Haddad, Linux Foundation; Anupam Joshi, UMBC; Zach Kurtz, SEI; Shali Mohleji, IBM; Tien Pham, CCDC ARL; Greg Porpora, IBM; Alun Preece, Cardiff University; Jim Spohrer, IBM;

Berkeley School of Engineering, June 20th, 2019

Remembering Jean Paul Jacob – the invisible hand guiding Brazil, IBM, and Berkeley into the future. Jean-Paul would surely have us smiling and laughing in spite of this solemn occasion today. Thank-you so much Berkeley friends.

Jean Paul was a master communicator, like Carl Sagan in my mind. However, instead of billions and billions of stars, Jean-Paul spoke of billions and billions of transistors.

Jean Paul was cool – he looked a bit like “the most interesting man in the world” from the beer commercials, with his well-groomed beard – which he slowly pulled on as he contemplated his next witty remark.

We miss Jean Paul greatly – his razor-sharp wit and passion for explaining the future of technology to business and government leaders, as well as journalist and students of diverse backgrounds. Carolyn Wallace who is here today was our Almaden customer briefing leader, and she scheduled Jean Paul in hundreds of presentations over the years.

Jean Paul had 57 years of service at IBM, more than anyone else I have ever known. Forty years as a regular employee and seventeen years as IBM Research Emeritus.

After getting his bachelor’s degree in electrical engineering in Brazil and then moving to France in 1960, Jean Paul first started working for IBM Nordics in 1962 in Stockholm Sweden. The next year, he moved to IBM Scientific Computing Research Center in California to work on the NASA Space Mission Simulator, and getting his Berkeley degrees. He spent the 1970’s back in Brazil working with universities on scientific computing, and then helped establish in 1980 the IBM Brazil Scientific Center and Institute for Software Engineering, where he met Fabio Gandour, a doctor, who later came to work for IBM (and Camille Crittendon read Fabio’s Eulogy early). In the mid 1980’s he returned to California, and had offices both at the newly built IBM Almaden Research Center and the IBM Cottle Road Storage Systems center down the hill in San Jose. In 1991, he met Mike Foster.

I met Jean Paul when I started at IBM Almaden in 1998, and Jean Paul took on the big challenge of helping me learn to make a proper presentation. This proved to be a lifelong challenge for Jean Paul – but I hope he is smiling down on us all today, since I used no slides.

Thank-you Berkeley friends for this wonderful event, and I would just like to share a few of the comments that have been collected from those who Jean Paul worked with over the years at IBM:

Robin Williams (IBM Research – Almaden, Retired): “Jean Paul would go to Brazil about once a year and later I would hear that he was on TV there being interviewed, that he gave great talks about the future of technology and got rave reviews.  He was treated like a rock star. “

Sergio Borger (IBM Brazil, Executive): “JP was a role model for me, since I was in high school.”

John Cohn (IBM Fellow): “In honor of Jean Paul, I made this video called Video, about The Pickle Lightbulb which I know was one of his favorite science experiments.”

Fernando Koch (IBM): “Jean Paul Jacob was a master communicator. When he spoke about the future of technology, people listened”

Laura Anderson (IBM Almaden): “He was legendary.”

Ted Selker (IBM Fellow, Retired): “Jean Paul Jacob’s energy and caring were infectious… I so  appreciated him introducing me to fascinating opportunities and experiences… The most surprising experience was when he had Playboy Brazil interview me about our research project called Room With A View.”

Mike Ross (IBM Almaden Communications, Retired): “JP’s entertaining/evolving talk/presentation .”The Future Is Not What It Used To Be!” – would love to have an image of the JP-2000 universal portable computer/communicator he predicted in the early 1990s … which was so outrageous when he predicted it … but in retrospect, clearly something similar to what smartphones are today.”

Dan Russell (Google, formerly IBM, author of “The Joy of Search” book): “My favorite JP memory is that for years I had a standing Thursday afternoon meeting with him.  When I’d show up he’d say “Where’s my Dan Russell list??” and look for a piece of paper with my name on it. “

Ethevaldo Siqueira (Brazilian Journalist): “Few scientists in Brazil and the United States have contributed more than Jean-Paul Jacob to enrich our knowledge of digital technologies”

Robert Morris (IBM, Retired, former Director of IBM Almaden): “Thanks for forwarding the sad news regarding Jean Paul.  He was such a towering force and was so truly caring about people and institutions.  He will be missed.”

Rich Pasco (IBM, Retired): “Jean Paul Jacob was my boss of sorts, in that he arranged my two trips to Brazil in the 1980’s to teach. I deeply respected his work in bringing about international collaboration on scientific and technical topics.”

Sonia Sachs (former IBM Almaden Researcher): “He always made me laugh. Jean Paul was incredibly selfless, never saying much about himself. Always listening. And he never let his illness reduce his incredible sense of humor, his interest in making our conversation light and happy. He said that he would find a way to communicate with me from the “Beleleu,” i.e., in the afterlife… We made a lot of jokes about the Beleleu conversations, all of which delighted Jean Paul. “

For more stories click here.

Timeline

1937 (Jan) Brazil – Born São Paulo

1960 Brazil – Electrical Engineering degree from the Instituto Tecnológico de Aeronáutica

1960-1962 Europe – France Industry and Academic Positions, including possible master’s degree at the Sorbonne in aeronautical engineering.

1962 Europe, Sweden, Stockholm – IBM Europe Nordics

1963 USA, CA, San Jose, IBM San Jose  – NASA Space Mission Simulations, and PhD Berkeley 1966 Math & Engineering

1969 Brazil – Faculty University of São Paulo (USP), the Instituto Tecnológico de Aeronáutica (ITA) and the Federal University of Rio de Janeiro (UFRJ) – Systems Department.

1980 Brazil – Founded IBM Brazile Scientific Center and Institute for Software Engineering
(Fabio Gandour: “Jean Paul was the second person that I met when in the early 80’s I, still a practicing MD, went to IBM Brasil to propose a partnership between the Hospital Foundation of the Federal Disctric and the then IBM Brasil Scientific Center.”)

1986 USA, CA, San Jose – IBM Research Almaden – Research Staff Member (Visiting Scholar Stanford and Berkeley)
(Mike Foster: “In 1991, when I started at Almaden, he had offices in Almaden and in Building 28 on plant site.” On 20190618, Email Michael Foster mfoster@nhusd.k12.ca.us)

2002, USA, CA, Emeryville – Retired – IBM Researcher Emeritus Faculty Berkeley

2019, April 7 – Passed away, Emeryville, CA USA after a life well-lived.

Additional information: https://alchetron.com/Jean-Paul-Jacob

Journal of Service Research https://journals.sagepub.com/home/jsr Editor-in_Chief Michael K. Brady, Florida State University, USA

INFORMS Journal of Service Science https://pubsonline.informs.org/journal/serv Editor-in-Chief Saif Benjaafar, University of Minnesota, USA

Journal of Systems and Service-Oriented Engineering (IJSSOE) https://www.igi-global.com/journal/international-journal-systems-service-oriented/1155 Editor-in-Chief: Dickson K.W. Chiu (The University of Hong Kong, Hong Kong) [Additional Contact Katelyn Hoover khoover@igi-global.com]

Originally posted by Jim Spohrer on 2 January 2013, 7:15 pm

Calls for papers with Service Science themes

Journals

Journal of Service Research
Editor-in-chief: Mary Jo Bitner
Founding Editor: Roland Rust
Impact Factor: 2.732
Ranked: 16 out of 113 in Business
Source: 2011 Journal Citation Reports® (Thomson Reuters, 2012)
News: About 25 articles a year since about 1990

Journal of Service Science (INFORMS)
Founding Editor: Robin Qiu
News: About 33 articles per year since 2009

International Journal of Information Systems in the Service Sector (IJISSS)
An Official Publication of the Information Resources Management Association
Editor-in-chief: John Wang
News: About 33 articles per year since 2009

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET)
An Official Publication of the Information Resources Management Association
Contact: Miguel-Angel Sicilia (University of Alcalá, Spain)
News: About 30 articles per year since 2010

International Journal of E-Services and Mobile Applications
Editor-in-chief: Ada Scupola
News: About 20 articles per year since 2009

International Journal of Services Sciences
Inderscience Publishers
Editor-in-chief: Desheng (Dash) Wu
News: About 12 articles per year since 2008

Service Science
Online electronic journal
Editor-in-chief: Minder Chen
News: About 4 articles per year since 2008

Journal of Service Science
Clute Institute
Contact: Ronal Clute
News: About 11 articles per year since 2008

International Journal of  u- and e- Service, Science and Technology
Science and Research Support Society (SERSC)
Contact: Jianhua Ma, Hosei University, Japan
Contact: Byeong-ho Kang, University of Tasmania, Australia
News: About 25 articles per year since 2008

Journal of Service Science and Management
Contact: Editor-in-Chief Prof. Samuel Mendlinger Boston University, USA
News: About 50 articles per year since 2008

Service Science and Management Research
Contact: Editorial Board: Dr. Rocío Pérez de Prado, University of Jaén, Spain
News: About 2 articles per year since 2012

International Journal of Quality and Service Sciences
Contact: Editor Professor Su Mi Dahlgaard Park, Lund University, Sweden ijqss@ch.lu.se
News: About 25 articles per year since 2008

Journal of Service Science Research
Contact: Editor-in-Chief: Daihwan Min
Society: The Society of Service Science
News: About 12 articles a year since 2008

Production Planning and Control
Organisational transformation in servitization
Deadline for submission: January 14th, 2013
Contact: “Paolo Gaiardelli” <paolo.gaiardelli@unibg.it>

Conferences, Workshops, Seminars:

Naples Forum on Service 2013 
Contact: Francesco Polese
Contact: Cristina Mele
Contact: Evert Gummesson
News: final deadline to submitt a proposals is 15 January 2013.
‘2013 Naples Forum on Service’ to be held in Ischia, June 2013

POMS College
Contact: Ravi Behara
Contact: Gang Li
News: deadline for abstract submission is January 18, 2013.
24th Annual Meeting in Denver Colorado May 3-6, 2013

MIT and the Digital Economy
Contact: @ErikB
Friday, January 18, 2013, Noon – 7:00 p.m.
Grand Hyatt San Francisco, 345 Stockton Street, San Francisco, CA
Participating speakers at this time include:
Rod Brooks – Founder, Chairman, and CTO, Rethink Robotics
Erik Brynjolfsson, PhD ’91 – Director, The MIT Center for Digital Business,
Schussel Family Professor of Management Science, MIT Sloan School of Management
Douglas Leone, SM ’88 – General Partner, Sequoia Capital
Andrew McAfee, ’88, ’89, LGO ’90 – Associate Director and Principal Research Scientist, MIT Center for Digital Business
Gokul Rajaram, MBA ’01 – Product Director, Ads, Facebook

Service oriented Enterprise Architecture for Enterprise Engineering (SoEA4EE 2012)
Contact: Selmin Nurcan
Contact: Rainer Schmidt
Info: Working on a 2013 special issue for IJISSS on SoEA4EE

ICIW 2013,
The Eighth International Conference on Internet and Web Applications and Services
Contact: Steffen Fries
June 23 – 28, 2013 – Rome, Italy

5th Annual International Service Innovation and Design
eminar on March 14, 2013!
Contact: Laurea – Uuden edellä | Prime mover
5th International SID Seminar | March 14, 2013 at 8:30-17:30
• What is the role of design in value creation?
• How do you ensure sustained value creation for all stakeholders?
• How do you improve your competitive advantage?

MSI’s conference Beyond the Product: Designing Customer Experiences at Stanford University on February 19-20, 2013 in Stanford, CA.
Contact: #custexpMSI

4th Summer School of the European Social Simulation Association (ESSA)
Hamburg University of Technology, July 15-19, 2013
Matthias Meyer and Iris Lorscheid
Hamburg University of Technology
Institute of Management Control and Accounting
http://www.cur.tu-harburg.de
The NAACSOS mailing list is a service of NAACSOS
North American Association for Computational and Organizational Science

THROUGH-LIFE ENGINEERING SERVICES (TESconf 2012)
2nd International conference of
5th & 6th November 2013
Cranfield, Cranfield University, UK
Sponsor: EPSRC Centre for Innovative Manufacturing in Through-life Engineering Services
Contact: Rajkumar Roy
Deadline: 15th February 2013
Center first annual report:
1st Annual Report for 2011-12

University-Industry Demonstration Partnership Project Summit
January 15-17, 2013
National Academies’ Keck Building
500 5th St NW, Washington, DC 20001
Contact: Anthony Boccanfuso
UIDP: University-Industry Development Program

SERVICE COMPUTATION 2013, The Fifth International Conferences on Advanced Service Computing
May 27 – June 1, 2013 – Valencia, Spain
Submission deadline: January 22, 2013
Sponsored by IARIA,
Contact: ?

First International Conference of Serviceology
Contact: @Yurikos

22nd annual International Conference on Management of Technology,
in Porto Alegre, Brazil (April 14-18, 2013)
Contact: “iamot@miami.edu”, Yasser.Hosni@ucf.edu, tkhalil@nileuniversity.edu.eg

15th IEEE Conference on Business Informatics

[successor of the IEEE Conference of e-Commerce and Enterprise Computing (CEC)]

Vienna (Austria), 15 – 18 July 2013
Contacts: Huemer Christian <huemer@big.tuwien.ac.at>, “Birgit Hofreiter” <birgit.hofreiter@tuwien.ac.at>
* Paper Submission: March 1, 2013

10th WSEAS International Conference on Engineering Education (EDUCATION ’13)
University of Cambridge, UK, February 20-22, 2013

Books:

Service Science: Research and Innovations in the Service Economy
Springer, Series Editors: Bill Hefley and Wendy Murphy
Website:

Service Systems & Innovations in Business & Society
Business Expert Press (BEP)
BEP, Series Editors: Haluk Demirkan and Jim Spohrer

Encyclopedia of Quality and the Service Economy (SAGE)
Contact: Su Mi Dahlgaard-Park