-------- Forwarded Message --------
Subject: [AISWorld] ModComp 2020 Call for Papers
Date: Fri, 15 May 2020 13:38:42 +0200
From: Andreas Wortmann <wortmann(a)se-rwth.de>
To: aisworld(a)lists.aisnet.org
CALL FOR PAPERS
ModComp'20 (at MoDELS): 6th International Workshop on Interplay of
Model-Driven and Component-Based Software Engineering
http://www.es.mdh.se/ModComp/
-----------------
IMPORTANT DATES
-----------------
Deadline for abstract submission: 15 July, 2020
Deadline for papers submission: 22 July, 2020
Notification of acceptance: 21 August, 2020
Camera ready: 28 August, 2020
Online pre-proceedings: 10 September, 2019
Workshop date (TBD): 18-20 October, 2020
-----------------
SCOPE
-----------------
Model-Driven Engineering (MDE) and Component-Based Software
Engineering (CBSE) have been shown to effectively reduce software
development complexity by (i) shifting the focus from source code to
models and (ii) building software systems as the composition of new
and existing components, respectively. Moreover, the interplay of MDE
and CBSE approaches is gaining recognition as a very promising means
to boost the development of software systems by reducing costs and
risks and shorten time-to-market.
While several attempts to effectively combine MDE and CBSE have been
documented, there are still unsolved clashes arising when exploiting
interplay of MDE and CBSE, mostly due to mismatches in the related
terminology as well as to differences in their basic essence.
As a satellite event of MoDELS'19, the goal of ModComp’19 is to gather
researchers and practitioners to share opinions, propose solutions to
open challenges and generally explore the frontiers of interweaving
between MDE and CBSE.
-----------------
TOPICS
-----------------
Solicited topics include, but are not limited to:
- Partial model reuse: once individual components are modelled
(interfaces and behavior), these models should be reusable in the
different usage contexts of these components;
- Model composition: building a system model by the composition of
pre-existing models of individual components;
- Component versioning: in order to handle evolution when for instance
one component is upgraded to a newer version;
- Modelling component interaction and component behaviours: clear
separation of internal behaviour and externally visible interaction
capabilities, e.g. by interface protocols;
- Model extraction for componentization of legacy systems: when legacy
systems are componentized, generation of architectural and behavioural
models from, e.g., implementation artefacts are needed in order to get
full support from model-based activities such as analysis, e.g. if
those components are reused in a new context. Along with
implementation artefacts, other kinds of information regarding any
observation of the system at runtime, such as, e.g., log files, system
execution traces, traces, might need to be considered for reverse
componentization;
- Component interoperability: in order to enable the automated
construction of semantic matching and mapping between different
modelling notations (e.g., component models) with emphasis on precise
syntactic, protocol and operational descriptions of components
- Management and elicitation of model interdependencies: in order to
infer and support automated reasoning on the possible
interdependencies between the different software models exploited
throughout the software life cycle;
- Component models evolution: tackling challenges in component models
evolution and model co-evolution which are amplified by the high
degree of interchangeability typical of CBSE;
- Model transformations in presence of third-party components:
exploring how model-driven techniques may deal with third-party
components, especially concerning the preservation of system
properties (both functional and extra-functional) along with the
involved model manipulations for, e.g., analysis, code generation,
etc;
- Metamodel modularity: reasoning on issues related to composability
of (i) metamodels and (ii) views in terms of metamodel portions;
- Composition of MDE artefacts: analysis results, model
transformations, and/or model viewpoints could take advantage of CBSE
advancements in order to ease their reuse, and composition;
- Enforcement of incrementality: models and model manipulations to
support incremental verification and validation of component-based
systems;
- Case studies & applications: best practices applied to real-world
applications, lessons learned, success/failure stories in intertwining
MDE and CBSE.
-----------------
SUBMISSION
-----------------
ModComp'20 welcomes research papers, experience papers and tool
presentations; nevertheless, papers describing novel research
contributions and innovative applications are of particular interest.
Two types of submission are solicited: full and short papers.
- Full papers: with a maximum of 8 pages in the ACM format, including
figures, appendices AND references), full papers clearly describe the
situation or the problem tackled, the relevant state of the art, the
position or solution suggested and the potential benefits of the
contribution. Systematic and empirical reports are welcome too.
- Short papers: with a maximum of 4 pages in the ACM format, including
figures, appendices AND references, short papers include tool
demonstrations, position papers, industrial experiences and
case-studies, well-pondered and sufficiently documented visionary
papers. Tools in demonstrations should be made available for use to
the reviewers.
Contributions should represent original and previously unpublished
ideas that are currently not under review in any conference or
journal. Each submitted paper undergoes a formal peer review process
by a minimum of 3 Program Committee members. Submitted papers should
include authors' names, affiliations and contact information.
Special issue at SoSyM: We plan to organize a theme issue at SoSyM to
which the best papers from the workshop will be invited for being
submitted in extended form. The extended papers would undergo a new
peer-reviewing process.
-----------------
PROGRAM COMMITTEE
-----------------
- Marco Autili, Università dell'Aquila
- Jan Carlson, Mälardalen University
- Peter Clarke, Florida International University
- Loek Cleophas, TU Eindhoven and Stellenbosch University
- Romina Eramo, University of L'Aquila
- Anne Koziolek, Karlsruhe Institute of Technology
- Ansgar Radermacher, CEA LIST
- Christian Schlegel, Ulm University of Applied Sciences
- Cristina Seceleanu, Mälardalen University
- Lionel Seinturier, University of Lille
- Severine Sentilles, Mälardalen University
- Massimo Tivoli, University of L'Aquila
- Sebastian Voss, fortiss GmbH
-----------------
ORGANIZATION
-----------------
Workshop organizers and chairs
Federico Ciccozzi (main contact), Mälardalen University (Sweden)
Antonio Cicchetti, Mälardalen University (Sweden)
Andreas Wortmann, RWTH Aachen University (Germany)
-----------------
CONTACT
-----------------
Website: http://www.es.mdh.se/ModComp/
Main contact: Federico Ciccozzi, federico.ciccozzi[at]mdh.se
--
-----------------------------------------------------------------------------------------------------------------
Dr. Andreas Wortmann | Software Engineering
Ahornstr. 55, 52074 Aachen, Germany | RWTH Aachen University
Phone +49 (241) 80-21346 / Fax -22218 | http://www.se-rwth.de
Automated semantics-preserving parallel decomposition of finite
component and connector architectures.
Automated Software Engineering (2020)
https://doi.org/10.1007/s10515-020-00268-5
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-------- Forwarded Message --------
Subject: [AISWorld] Doing research on AI, Organizing, and Management?
-->please submit to our HICSS 54 minitrack
Date: Fri, 15 May 2020 08:38:17 +0000
From: Stefan Seidel <Stefan.Seidel(a)uni.li>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
Minitrack: AI, Organizing, and Management
Track: Organizational Systems and Technology
https://hicss.hawaii.edu/tracks-54/organizational-systems-and-technology/#a…
54th Annual Hawaii International Conference on System Sciences (HICSS-54)
January 5-8, 2021
Grand Hyatt Kauai
Important Dates for Paper Submission
June 15, 2020: Paper Submission Deadline (11:59 pm HST)
August 17, 2020: Notification of Acceptance/Rejection
September 4, 2020: Deadline for A-M Authors to Submit Revised Manuscript
for Review
September 22, 2020: Deadline for Authors to Submit Final Manuscript for
Publication
October 1, 2020: Deadline for at least one author of to register for
HICSS-54
As organizations become more reliant on AI methods, they need new
organizational and management theories, frameworks, and methodologies
that can help them understand the consequences of using these AI
tools—both at the level of structures and organizational activities.
Since such agents often rely on complex internal processing, their
behavior is less predictable than that of the types of IT artifacts we
are used to dealing with. This opens up a number of problem areas with
regards to managing and organizing these methods. For example:
- How does coordination shift as AI tools are used, and what new types
of organizational hierarchies and structures emerge?
- How do power relations change, and how do different organizational
actors use these new technologies to reshape power relations?
- What is the impact of using AI on those processes that have
traditionally been seen as being entirely driven and controlled by humans?
- How can the organization evaluate the ethical implications of deployed
AI methods?
- What are relevant KPIs and metrics for assessing the effectiveness of
AI applications?
- How should an organization manage, staff and coordinate AI development
teams?
This minitrack aims to contribute to our understanding of the mechanisms
through which humans organize together with software-based agents as
well as the process organizations use to develop these AI methods.
We aim to provide a platform for thought and discussion in this
important and emergent niche within information systems and IT research.
We invite both conceptual and empirical contributions using different
methodological approaches (qualitative, quantitative, design-oriented,
simulation, etc.).
In addition to the questions raised above, potential topics include, but
are not limited to:
- AI & coordination: How does AI change the way humans coordinate?
- AI & power: How does AI affect corporations, markets, and peer
production structures?
- AI & governance: Who runs the technology? What does the technology run?
- AI & development: How to manage project and deployment risk?
- AI & creativity: How can AI be creative? How can humans and AI be
co-creators?
- AI & design: What does AI design? Should it design itself?
- AI & innovation: How does AI foster innovation?
- AI & crowds: What do crowds do for machine learning, and what’s in it
for the crowds?
- AI & organizational routines: How does AI change the nature of work?
Minitrack Co-Chairs:
Stefan Seidel (Primary Contact)
University of Liechtenstein
stefan.seidel(a)uni.li
Aron Lindberg
Stevens Institute of Technology
aron.lindberg(a)stevens.edu
Jeff Nickerson
Stevens Institute of Technology
jnickers(a)stevens.edu
Jeffrey Saltz
Syracuse University
jsaltz(a)syr.edu
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-------- Forwarded Message --------
Subject: [AISWorld] CFP_International Journal of Distributed Artificial
Intelligence (IJDAI)
Date: Fri, 15 May 2020 04:02:31 +0300
From: firas raheem <60124(a)uotechnology.edu.iq>
To: aisworld(a)lists.aisnet.org
Dear Colleagues
Submit a Paper to the
International Journal of Distributed Artificial Intelligence (IJDAI)
https://www.igi-global.com/journal/international-journal-distributed-artifi…
Description
The International Journal of Distributed Artificial Intelligence (IJDAI) is
a specialized journal that publishes high-quality research in all fields of
Artificial Intelligence (AI). Distributed Artificial Intelligence is a
subfield of AI concerned with coordinated, concurrent action,
decision-making, and problem-solving. This journal not only emphasis on
Distributed Artificial Intelligence (DAI), but it also concerned with other
fields of artificial intelligence as real-world problems. In general, it is
also covers novel ideas in emerging fields that unlimitedly include: Expert
Systems, Multi-robot systems, Intelligent Mechatronic Applications, Natural
Language Processing, Neural networks, Fuzzy Systems, Intelligent control
systems, optimization techniques, intelligent robotic systems and path
planning, learning systems, Heuristic and Metaheuristic methods. This
journal turns in abroad scope of AI Fields theoretically and practically by
encouraging scientists from different areas of science as well as
researchers from various fields studying similar concepts. IJDAI publishes
scientific research articles, reviews, technical reports, patent alerts,
and case studies on the recent advances of new AI methodologies and
techniques.
Coverage
IJDAI covers conceptual frameworks, case studies, empirical analysis,
analytical and simulation models of AI anthropologies and sociologies, and
their application. Topics to be discussed in this journal include (but are
not limited to) the following:
Agent Environments, Languages, Models and Architectures
Agent-Based Data Mining and Agent-Oriented Software Engineering
Agent-Based Modeling and Simulation
Agent-Based Social Simulation and Organizational Structure
Agents Emergent Behavior and Emerging Technologies
Agents in Electronic Business and Virtual Organizations
Artificial Intelligence and Evolutionary Algorithms
Artificial Intelligence in Embedded Systems
Artificial Intelligence Tools and Applications
Artificial Intelligent Social Systems
Artificial Swarm Intelligence and Cooperative System
Automatic Control Systems
Bayesian Methods
Bioinformatics Applications (Recognition of Face, Iris, Fingerprint,
Hand Gestures, Patterns , and Objects)
Bio-Inspired Optimization Algorithms
Data Mining and Web Mining
Distributed and Intelligent Information Fusion
Distributed Artificial Intelligent Algorithms, Techniques and
Applications
Distributed Computing and Decision Making
Dynamics of Cooperative Systems
Ethical and Legal Issues Pertaining to Agency and Multi-Agent Systems
Evaluation of Artificial Intelligence Tools
Expert Systems
Flocking System and Control
Formation Control
Fuzzy Sets, Fuzzy Logic, and Rough Sets
Graph Theory of Multi-Agent Systems
Heuristic and Metaheuristic Computing Methods
Hybrid Intelligent Systems
Information Propagation and Exchange in Multi-Agent Systems
Integrated Intelligent Systems Combining Multiple Knowledge Sources
Integration of Artificial Intelligence With Other Technologies
Intelligent and Cognitive Agents
Intelligent Control Systems
Intelligent Databases
Intelligent Measurement Systems
Intelligent Mechatronic Systems and Applications
Intelligent Motion Planning Systems
Intelligent Problem Solving
Intelligent Recommender Systems
Intelligent Semantic Web Techniques and Technologies
Interactive Agents, Human-Agent Interaction, and Agent-Based User
Interfaces
Knowledge Management and Ontologies
Learning Methods in Multi-Agent Systems
Machine Learning and Deep Learning
Multi-Agent Circuits and Systems
Multi-Robot Systems
Natural Language Processing (Processing of Text, Sign, and Speech)
Neural Networks
Parallel Computational System
Representation of Agents, Modeling Other Agents and Self
Robot Teams and Cooperative Robotic Systems
Robotic Vision Systems and Computer Vision
Robotics and Path Planning Methods
Best Regards
Dr. Firas A. Raheem
Editor-in-Chief of IJDAI
Email:60124@uotechnology.edu.iq
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-------- Forwarded Message --------
Subject: [AISWorld] Journal of Information Systems Engineering &
Management (JISEM)
Date: Thu, 14 May 2020 23:39:15 +0100
From: Alvaro Rocha <amrrocha(a)gmail.com>
To: aisworld(a)lists.aisnet.org
***********
Journal of Information Systems Engineering and Management (JISEM) is
published quarterly by Modestum Ltd in conjunction with the Iberian
Association for Information Systems and Technologies (AISTI)
It is available at: https://www.jisem-journal.com
************************************************************************************************************************************************************************
AIMS & SCOPE
Journal of Information Systems Engineering and Management (JISEM) is an
international peer-reviewed journal which publishes scientific articles on
planning, design, implementation, exploration and management of information
systems by enterprises, citizens and society for the improvement of the
socio-economic environment. The Journal is multidisciplinary, focusing on
technological, organizational and social domains. Research published in the
Journal focuses on relevant problems in the planning, analysis, design,
implementation, exploration and management of information systems. The
journal applies a double-blind peer review and authors are not asked to pay
a submission fee.
SUBMISSION of MANUSCRIPTS
http://www.aistic.org/jisem/openconf.php
JISEM Website
https://www.jisem-journal.com
Kind regards,
Álvaro Rocha
AISTI & University of Coimbra, Portugal
https://apps.uc.pt/mypage/faculty/uc42238
E-mail: amrrocha(a)gmail.com
Phone/WhatsApp: +351 961539027
Skype ID: amrrocha
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-------- Forwarded Message --------
Subject: [AISWorld] [CFP] 8th International Workshop on DEClarative,
DECision and Hybrid approaches to processes (DEC2H 2020)
Date: Thu, 14 May 2020 12:41:56 +0000
From: Tijs Slaats <slaats(a)di.ku.dk>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
********************************************************************************
Call for Papers
DEC2H 2020
8th International Workshop on
DEClarative, DECision and Hybrid approaches to processes
14 September 2020
Co-located with the 18th Int. Conference on Business Process Management
(BPM)
http://dec2h-2020.di.uniroma1.it/
********************************************************************************
Due to the consequences of the COVID-19 pandemic, it has been decided
that BPM 2020 will be a fully virtual conference. The same will apply to
the DEC2H workshop. Further details will follow as we get nearer to the
conference date.
********************************************************************************
In this workshop, we are interested in the application and challenges of
decision-based, rule-based and hybrid modelling in all phases of the BPM
lifecycle (identification, discovery, analysis, redesign, implementation
and monitoring).
Important Dates
--------------------------
- Abstract submission (optional) deadline: May 22, 2020
- Papers submission deadline: May 29, 2020
- Notification: June 29, 2020
- Camera-ready deadline: July 13, 2020
- Workshop: September 14, 2020
Scope
--------------------------
Processes and business process models involve rules and decisions
describing the premises and possible outcomes of specific situations.
However, important though they are, rules and decisions are often hidden
in process flows, process activities or in the head of employees (tacit
knowledge), so that they need to be discovered using state-of-art
intelligent techniques. For knowledge-intensive processes it is common
that rules and decisions, as opposed to the process-flow, define the
allowed behaviour of a process. E.g., the major purpose of an insurance
claim process is to ensure that the rules governing the claim are being
followed and to arrive at a final decision.
While traditional imperative notations such as BPMN excel at describing
“happy paths”, they turn out to be rather inadequate for modelling rules
and decisions. Imperative notations indeed tend to describe possible
behaviour as alternative, restricted flows. But encompassing all
possible variations makes imperative models cluttered and thus
impractical in highly flexible scenarios. Against this background, a new
declarative modelling paradigm has been proposed that aims to directly
capture the business rules or constraints underlying the process. The
approach has gained momentum in recent years, and several declarative
notations have been developed such as Declare, DCR Graphs, DMN, GSM and
eCRG. Lately, there has been a rapidly growing interest in hybrid
approaches, which combine the strengths of different modelling paradigms.
In this workshop, we are interested in the application and challenges of
decision- and rule-based modelling in all phases of the BPM lifecycle
(identification, discovery, analysis, redesign, implementation and
monitoring).
The purpose of the workshop is, therefore:
- To examine the relationship between rules, decisions and processes,
including models; not only to model the process but also to model the
rules and decisions.
- To enhance rule and decision mining based on process data (e.g. event
logs)
- To examine decision goals, structures, and their connection with
business processes, in order to find a good integration between rule-
and decision-based modelling and flow-based modelling.
- To examine standards (DMN, CMMN, BPMN) and their integration.
- To study how different process models can be designed to fit a
decision process, according to various optimization criteria, such as
throughput time, use of resources, etc.
- To study the integration between different modelling paradigms.
- To show best practices in separating process, rule and decision concerns.
Topics of interest
--------------------------
Topics of interest include, but are not limited to:
Declarative and hybrid (process modelling) approaches
- Declarative notations (Declare, DCR Graphs, GSM, eCRG, ...)
- Decision & goal notations (DMN, PDM, ...)
- Case management notations (CMMN, ...)
- Hybrid notations
- Declarative and hybrid modelling methodologies
- Process metrics
- Process maintenance and flexibility
- Human-centred and flexible processes
- Decision rules and processes
- Decision models and structures
- Formal analysis (e.g. expressiveness proofs) of declarative and hybrid
notations
- Formal verification (e.g. model-checking and static analysis) of
declarative and hybrid models
- Run-time adaptation of declarative and hybrid process models
Decision mining and declarative/hybrid process mining
- Decision mining
- Declarative process mining
- Hybrid process mining
- Data mining for decision and declarative/hybrid process analysis
- Rule mining for decision and declarative/hybrid process analysis
Applications of decision- and rule-modelling in BPM
- Goal-driven processes
- Knowledge-intensive processes
- Business process compliance
- Knowledge workflow management
- Usability and understandability studies
- Case studies
- Tools
Format of the Workshop
--------------------------
The workshop will begin with a keynote, followed by presentations of
accepted papers. Full papers have 20 minutes for their presentations and
10 minutes for discussion and Q&A. Short papers have 15 + 5 minutes. At
the end of the workshop, there will be a closing panel discussion.
Each manuscript will be reviewed by at least three program committee
members guaranteeing that only papers presenting high-quality work and
innovative research in areas relevant to the workshop theme will be
accepted. All accepted papers will appear in the workshop proceedings
published by Springer in the Lecture Notes in Business Information
Processing (LNBIP) series. There will be a single LNBIP volume dedicated
to the proceedings of all BPM workshops.
All accepted papers will appear in the workshop proceedings. They will
be distributed electronically on USB sticks. The post-proceedings will
be published by Springer in the Lecture Notes in Business Information
Processing (LNBIP) series, in a single volume dedicated to the
proceedings of all BPM workshops. During a time window after the
conference, the workshop participants will be granted the free download
of the papers.
Submission
--------------------------
We are interested in research, work-in-progress, position, case-study
and tool papers, either in long (not exceeding 12 pages) or short (not
exceeding 6 pages) format. Only papers in English will be considered.
Submitted papers must present original research contributions not
concurrently submitted elsewhere. Authors are requested to prepare
submissions according to the LNBIP format specified by Springer (see the
instructions [1] and the LaTeX-template[2]). The title page must contain
a short abstract and a list of keywords, preferably using the list of
topics given above. Papers must be submitted electronically via the
EasyChair portal [3].
[1] https://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0
[2] ftp://ftp.springer.de/pub/tex/latex/lnbip/author.zip
[3] https://easychair.org/conferences/?conf=bpm2020
Program Committee
--------------------------
- Rafael Accorsi, PwC, Switzerland
- Bart Baesens, KU Leuven, Belgium
- Andrea Burattin, Technical University of Denmark, Denmark
- Josep Carmona, Universitat Politècnica de Catalunya, Spain
- João Costa Seco, Universidade Nova de Lisboa, Portugal
- Johannes De Smedt, University of Edinburgh, United Kingdom
- Jochen De Weerdt, KU Leuven, Belgium
- Chiara Di Francescomarino, Fondazione Bruno Kessler, Italy
- Rik Eshuis, Eindhoven University of Technology, The Netherlands
- Robert Golan, DBmind Technologies Inc., United States
- María Teresa Gómez-López, Universidad de Sevilla, Spain
- Xunhua Guo, Tsinghua University, China
- Thomas Hildebrandt, University of Copenhagen, Denmark
- Amin Jalali, Stockholm University, Sweden
- Krzysztof Kluza, AGH University of Science and Technology, Poland
- Fabrizio M. Maggi, University of Tartu, Estonia
- Andrea Marrella, Sapienza University of Rome, Italy
- Marco Montali, Free University of Bozen-Bolzano, Italy
- Artem Polyvyanyy, University of Melbourne, Australia
- Hajo A. Reijers, Utrecht University, The Netherlands
- Flavia M. Santoro, Universidade do Estado do Rio de Janeiro, Brazil
- Stefan Schönig, Universität Regensburg, Germany
- Lucinéia H. Thom, Universidade Federal do Rio Grande do Sul, Brazil
- Han van der Aa, Humboldt University of Berlin, Germany
- Wil M.P. van der Aalst, RWTH Aachen University, Germany
- Barbara Weber, University of St. Gallen, Switzerland
- Mathias Weske, Hasso Plattner Institute, University of Potsdam, Germany
Organisers
--------------------------
- Søren Debois, IT University of Copenhagen, Denmark
- Claudio Di Ciccio, Sapienza University of Rome, Italy
- Tijs Slaats, University of Copenhagen, Denmark
- Jan Vanthienen, KU Leuven, Belgium
Contacts
--------------------------
Web: http://dec2h-2020.di.uniroma1.it/
Email: dec2h-2020(a)di.uniroma1.it
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-------- Forwarded Message --------
Subject: [AISWorld] Government Request for Information Opportunity
Date: Wed, 13 May 2020 09:02:30 -0700
From: Silvia Pera <spera(a)bmnt.com>
To: aisworld(a)lists.aisnet.org
Hi all,
I'm Silvia Pera, a Navy contractor, working with the Navy to get the word
out about the following Request for Information solicitation.
The Navy is concerned about IT personnel's ability to maintain and
troubleshoot IT systems shipboard as they grow increasingly more complex.
Therefore, the Navy is reaching out to industry to uncover what industry
solutions may already exist for analogous problems. Note, this is a request
for information and the government is not committing to purchasing from
industry but is rather exploring the problem space and is interested in the
different approaches industry is taking to tackle the problem. The RFI is
available here
<https://beta.sam.gov/opp/f10cb8d83af6400fbc712b03ef7b11ec/view?keywords=nov…>.
There will be a webinar May 19, to answer industry questions, evite is here
<https://einvitations.afit.edu/inv/index.cfm?i=556695&k=0764440F7252>.
Note that there is no citizenship requirement.
Please feel free to reach out to me if you have any questions or concerns.
Best,
Silvia Pera
Analyst
BMNT
spera(a)bmnt.com
CONFIDENTIALITY NOTE: This Email may contain sensitive personnel
information. For Official Use Only - Privacy Sensitive - any misuse or
unauthorized disclosure may result in both civil or criminal penalties.
--
CONFIDENTIALITY NOTE: This message and any attachments are solely for the
use of the individual or entity to which it is addressed and may contain
information that is privileged or confidential. If you are not the intended
recipient, any disclosure, use or distribution of the information contained
herein is prohibited. If you have received this communication in error, please notify the sender by reply e-mail and immediately delete this message and any attachments. In the event this document(s) contains technical data within the definition of the International Traffic in Arms
Regulations, it is subject to the export control laws of the U.S. Government. Transfer of this data by any means to a foreign person, whether in the United States or abroad, without an export license or other approval from the U.S. Department of State, is prohibited.
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-------- Forwarded Message --------
Subject: [AISWorld] CFP SI: Business Analytics for the Management of
Information Systems Development
Date: Wed, 13 May 2020 19:00:59 +0000
From: Dennehy, Denis <denis.dennehy(a)nuigalway.ie>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
Business Analytics for the Management of Information Systems Development
________________________________
Special issue call for papers from Information Technology & People
Submission deadline: 30th September 2020
Special issue editors:
Denis Dennehy, National University of Ireland Galway, Ireland
Email: denis.dennehy(a)nuigalway.ie<mailto:denis.dennehy@nuigalway.ie>
Ilias Pappas, University of Agder, Norway
Email: ilias.pappas(a)uia.no<mailto:%20ilias.pappas@uia.no>
Samuel Fossa Wamba, Toulouse Business School, France
Email: s.fosso-wamba(a)tbs-education.fr<mailto:s.fosso-wamba@tbs-education.fr>
Katina Michael, Arizona State University, USA
Email: katina.michael(a)asu.edu <mailto:katina.michael@asu.edu>
<mailto:katina.michael@asu.edu>Overview of Special Issue
Information Systems Development (ISD) has been part of the intellectual
core of information systems for over 40 years (Obrand et al., 2018;
Sidorova et al., 2008). Its chequered history of successes and failures
has, however, been an ongoing concern of the IS research community
(Dwivedi et al., 2015; Hassan & Mathiassen, 2017). Despite efforts to
improve the management of ISD projects, these efforts have not had the
desired effect (Lim et al., 2011). There is anecdotal evidence that
business analytics can help project managers to (i) understand the
dynamics and collective state of complex projects, (ii) detect and
forecast trends, (iii) improve the effectiveness of risk models, (iv)
evaluate the effectiveness of a change to the development process, and
(v) distinguish questions of ‘information’ from questions of ‘insight’
(Davenport et al., 2010).
Business analytics are frequently referred to as ‘the techniques,
technologies, systems, practices, methodologies, and applications that
analyse critical business data to help an enterprise better understand
its business and market and make timely decisions’ (Chen et al., 2012,
p.1166). Yet, much of the research conducted to date has focused on the
technologies of business analytics and not enough on the people and
their organisational context in which such technologies are intended to
be used (Abbasi et al, 2017; Conboy et al., 2018; Mikalef et al., 2019).
This is a significant limitation given that the ISD environment is a
highly metric oriented, complex, and socially embedded activity that is
continuously changing (Conboy, 2009; Kudaravalli et al., 2017; Windeler
et al., 2017).
This special issue seeks to collect contemporary research on the latest
developments and challenges of how organisations exploit business
analytics to support project/portfolio managers, project teams, and
other project stakeholders.
Indicative List of Anticipated Themes
This special issue seeks a wide range of articles that draw on diverse
project settings, theories, and approaches to understand the different
aspects of business analytics as applied to the context of ISD. The
following questions are of interest for the special issue:
• How can business analytics be used to better understand and manage ISD
projects?
• What value does business analytics provide to ISD management and
development teams?
• What tensions arise from the integration of business analytics with
traditional and agile methods and practices?
• What are the emerging best practices that enable business analytics to
be embedded within the ISD process and the wider organisation?
• Does the deployment of business analytics make existing agile methods
and practices less valuable or even obsolete?
• What new metrics and standards can business analytics provide to
manage and control ISD projects more effectively?
• How can business analytics enable organisational learning and
innovation in the context of ISD?
• How are business analytics being applied in various types
(distributed, large scale) of ISD projects?
• How can business analytics support the scaling of ISD projects?
• What are the change management and organisational cultural issues that
need to be considered when developing analytical capabilities?
• How can business analytics provide new ways of working in ISD projects?
• What ethical issues stem from the use of business analytics in ISD
projects?
• How can business analytics be used to support more effective decision
making?
• What are the new theories and theoretical developments to explain the
implementation and use of business analytics in ISD projects?
These questions are not intended to be exhaustive. Rather they are
intended to stimulate thinking about the role of business analytics in
the management of ISD projects across various levels of analysis - from
participants in individual projects through projects, programs,
portfolios, organisations, and the wider society. We welcome submissions
that address questions pertaining to all aspects of the intersection of
business analytics and ISD project management.
Important Dates:
• Initial paper submission deadline: 30th September, 2020
• First round authors notification: 30th November, 2020
• Invited revisions deadline: 31st January, 2021
• Second round authors notification: 31st March, 2021
• Final revision deadline: 31st May, 2021
• Final authors notification: 30th June, 2021
• Projected publication date: Winter 2021
Submission Details
To view the author guidelines for this journal, please visit:
https://www.emeraldgrouppublishing.com/products/journals/author_guidelines.…
Please submit your manuscript via our review website:
http://mc.manuscriptcentral.com/itp
References
Abbasi, A., Sarker, S. and Chiang, R.H., 2016. Big data research in
information systems: Toward an inclusive research agenda. Journal of the
Association for Information Systems, 17(2), p.I.
Conboy, K., Dennehy, D., & O'Connor, M. (2018). ‘Big time’: An
examination of temporal complexity and business value in analytics.
Information & Management.
Conboy, K., 2009. Agility from first principles: Reconstructing the
concept of agility in information systems development. Information
Systems Research, 20(3), pp.329-354.
Chen, H., Chiang, R.H. and Storey, V.C., 2012. Business intelligence and
analytics: From big data to big impact. MIS Quarterly, 36(4).
Davenport, T.H., Harris, J. and Shapiro, J., 2010. Competing on talent
analytics. Harvard Business Review, 88(10), pp.52-58.
Dwivedi, Y.K., Wastell, D., Laumer, S., Henriksen, H.Z., Myers, M.D.,
Bunker, D., Elbanna, A., Ravishankar, M.N. and Srivastava, S.C., 2015.
Research on information systems failures and successes: Status update
and future directions. Information Systems Frontiers, 17(1), pp.143-157.
Hassan, N.R. and Mathiassen, L., 2018. Distilling a body of knowledge
for information systems development. Information Systems Journal, 28(1),
pp.175-226.
Kudaravalli, S., Faraj, S. and Johnson, S.L., 2017. A Configural
Approach to Coordinating Expertise in Software Development Teams. MIS
Quarterly, 41(1).
Lim, E.P., Chen, H. and Chen, G., 2013. Business intelligence and
analytics: Research directions. ACM Transactions on Management
Information Systems (TMIS), 3(4), p.17.
Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2019). Big data
analytics capabilities and innovation: the mediating role of dynamic
capabilities and moderating effect of the environment. British Journal
of Management, 30(2), 272-298.
Sidorova, A., Evangelopoulos, N., Valacich, J.S. and Ramakrishnan, T.,
2008. Uncovering the intellectual core of the information systems
discipline. MIS Quarterly, pp.467-482.
Öbrand, L., Augustsson, N.P., Mathiassen, L. and Holmström, J., 2019.
The interstitiality of IT risk: An inquiry into information systems
development practices. Information Systems Journal, 29(1), pp.97-118.
Windeler, J.B., Maruping, L. and Venkatesh, V., 2017. Technical systems
development risk factors: The role of empowering leadership in lowering
developers’ stress. Information Systems Research, 28(4), pp.775-796.
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] EJIS Special Issue CFP on Digital-enabled Strategic
Agility: The Next Frontier
Date: Wed, 13 May 2020 19:09:47 +0000
From: Paul Tallon <pptallon(a)loyola.edu>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
Dear colleagues,
Please consider submitting your research to a Special Issue of the
European Journal of Information Systems (EJIS) on the topic of
"Digital-enabled Strategic Agility: The Next Frontier". Detailed
information on the call for papers, including submission dates, can be
found online at the EJIS website
https://www.tandfonline.com/toc/tjis20/current or here:
https://nbviewer.jupyter.org/github/GoodmanRichard/EJIS/blob/master/Digital….
Initial submissions are due by January 17, 2021.
The guest editors of the EJIS Special Issue are also planning to
organize an optional workshop for prospective authors at AMCIS in August
2020. Since AMCIS is now virtual, the workshop will also be virtual.
Additional details on this workshop are provided in the call for papers.
Submissions to this workshop are due no later than June 1, 2020.
Please direct any questions regarding the special issue to the guest
editors.
Thanks,
Guest Editors:
Paul Tallon, Loyola University Maryland
Tim Coltman, University of Waikato, NZ
Magno Queiroz, Utah State University
-------------------------------------------
Prof. Paul P. Tallon
Professor of Information Systems
Chartered Accountant (Institute of Chartered Accountants in Ireland)
Executive Director, David D. Lattanze Center for Information Value
Information Systems, Law, and Operations (ISLO)
Sellinger School of Business and Management (Room 325)
Loyola University Maryland
4501 N. Charles St.
Baltimore, MD 21210
Office: (410) 617-5614 Cell: (617) 308-7340
Email: pptallon(a)loyola.edu
_______________________________________________
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-------- Forwarded Message --------
Subject: [WI] CfP EM: "Smart Cities - Smart Governance Models for
Future Cities" and deadline extension for the call "Digital Healthcare
Services"
Date: Wed, 13 May 2020 11:32:44 +0200
From: Electronic Markets <editors(a)electronicmarkets.org>
Reply-To: Electronic Markets <editors(a)electronicmarkets.org>
To: 'Electronic Markets' <editors(a)electronicmarkets.org>
--- Apologies for cross-postings---
Dear colleagues,
Electronic Markets is seeking submissions for a special issue on “Smart
Cities- Smart Governance Models for Future Cities”. Please find further
details below and also notice the deadline extension for the special
issue call “Digital Healthcare Services” (https://bit.ly/3cCyimv) until
July 31, 2020.
*Call for Papers: Smart Cities - Smart Governance Models for Future Cities*
Submission Deadline: December 01, 2020
**
*Guest Editors*
* Edy Portmann, University of Fribourg, Switzerland,
edy.portmann(a)unifr.ch <mailto:edy.portmann@unifr.ch>
* Sara D’Onofrio, Business Engineering Institute St. Gallen,
Switzerland, sara.donofrio(a)bei-sg.ch <mailto:sara.donofrio@bei-sg.ch>
* Simon Trang, University of Göttingen, Germany,
strang(a)uni-goettingen.de <mailto:strang@uni-goettingen.de>
* Elpiniki I. Papageorgiou, University of Thessaly, Greece,
epapageorgiou(a)teiste.gr <mailto:epapageorgiou@teiste.gr>
* Witold Pedrycz, University of Alberta, Canada, wpedrycz(a)ualberta.ca
*Theme*
As of 2010 half of the world population lived in urban areas and 150
metropolitan urban regions across the world generated almost 50% of the
global GDP. In other words, from then on, cities became more and more
the places, where a process of deep societal and economic reform should
start from, where global issues may be addressed locally, where smart
technology may be discussed. Definitively, cities have a sufficient
critical mass in both demographic and economic terms to ignite a
planetary revolution.
The concept of a smart city is understood as the specific use of
advanced information and communication technologies for a sustainable,
social, ecological and economic development of urban space. The focus of
a smart city is on the access, processing and use of information to
improve existing urban processes. The acquisition, collection and
analysis of urban (real-time) data and the coordination of data use with
Internet- and web-based services has opened up new possibilities for
increasing economic, social, natural and infrastructural resource
efficiency and improving the quality of life.
However, the technology-focused perspective excludes two essential
aspects that are of high importance for a "future city": Preservation of
knowledge and involvement of the citizens in the design process.
Solutions (e.g., digital platforms, civic (tech) events) designed by and
with citizens promote transparent and participatory collaboration that
enables the development of a smart living environment. In this respect,
it is important that civil society is willing to cooperate and that
public administrations take these efforts seriously. With regards to
aspects of the socio-technical approach, it is important that technical
and human factors have equal weight in the design process of new smart
city models. This citizen-centered approach makes it possible to develop
new socio-economic and participatory models that promote, for example,
solidarity, social inclusion and communities. This becomes particularly
relevant in the field of governance (D’Onofrio et al. 2019).
With this in mind, in this special issue, we intend to help cities
better understand the strengths and weaknesses of the governance of
their infrastructures. On that account, with a focus on cities
efficiency, sustainability, and resilience (see Portmann & Finger 2016;
Portmann et al. 2019), we invite researchers to submit their paper
addressing an innovative handling of societal challenges, presenting
novel economic models to govern them as well as technological prototypes
and frameworks to have an impact.
**
*Central issues and topics*
This special issue of Electronic Markets will focus on new, innovative
approaches to smart governance models for future cities that may improve
existing processes and models of governance and will change/improve the
interaction and communication between citizens and representatives of
the public sector. They should discuss how their approaches and
solutions enable enhanced ways of information exchange and communication
between citizens and representatives of the public sector, how new
models can improve existing government models and thus how urban
knowledge can be preserved and be used for future cities.
This special issue is not only intended for academics and researchers
but will also be valuable for executives, managers, innovators and
project leaders who would like to implement smart methods to govern
urban systems. To this end, it intends to present a set of state-of- the
art method boxes, case studies and web-based tools that together make it
possible to design, implement, and test smart cities strategies-to-be.
The (non-exclusive) list of topics includes:
* Smart governance of urban systems and networked business models
* Complexity theory for smart governance of urban systems
* Collective city intelligence for implementation of smart cities
* Learning and cognition theory for implementation of smart cities
* Application of human-centered artificial intelligence for smart cities
* Integration of smart citizens into the development of smart
governance models
* Smart participation and smart voting
* Digital platforms and ecosystems for smart cities
* Data mining for smart city applications
* Application of smart open gov data
* Sustainable, social, ecological and economic issues in smart
governance models for future cities
* Trust, privacy, and security issues in smart governance models for
future cities
*Keywords*
collective intelligence, digital platforms, ecosystems, governance, open
gov data, privacy, security, smart citizen, smart city, smart
participation, trust
**
*Submission*
Electronic Markets is a Social Science Citation Index (SSCI)-listed
journal (IF 3.553 in 2018) and encourages original contributions with a
broad range of methodological approaches, including conceptual,
qualitative and quantitative research. Besides research papers it
features position papers, fundamentals and case studies for this special
issue. All papers should fit the journal scope (for more information,
see http://www.electronicmarkets.org/about-em/scope/) and will undergo a
double-blind peer-review process. Submissions must be made via the
journal’s submission system and comply with the journal's formatting
standards. The preferred average article length is approximately 8,000
words, excluding references. If you would like to discuss any aspect of
this special issue, you may either contact the guest editors or the
Editorial Office.
*Important deadline*
* Submission Deadline: December 01, 2020
**
*References*
D’Onofrio S., Habenstein A., Portmann E. (2019). Ontological Design for
Cognitive Cities: The New Principle for Future Urban Management. Ahuja
K., Khosla A. (eds.) Driving the Development, Management and
Sustainability of Cognitive Cities. IGI Global, Hershey, PA, USA.
Portmann E., Finger M. (2016). Towards Cognitive Cities: Advances in
Cognitive Computing and its Applications to the Governance of Large
Urban Systems. Studies in Systems, Decision and Control, 63. Springer, Cham.
Portmann E., Seising R., Tabacchi M., Habenstein A. (2019). Designing
Cognitive Cities. Springer.
Best regards,
Rainer Alt, Hans-Dieter Zimmermann, Maxi Herzog and Dorothee Ulrich
====================================================================
Electronic Markets - The International Journal on Networked Business
====================================================================
Editors-in-Chief: Rainer Alt, Leipzig University and Hans-Dieter
Zimmermann, FHS St.Gallen, University of Applied Sciences
Executive Editors: Maxi Herzog, Dorothee Ulrich, Leipzig University
Editorial Office:
c/o Information Systems Institute
Leipzig University
04109 Leipzig, Germany
Mail: editors(a)electronicmarkets.org <mailto:editors@electronicmarkets.org>
Phone: +49-341-9733600
electronicmarkets.org <http://www.electronicmarkets.org>
facebook.com/ElectronicMarkets <https://www.facebook.com/ElectronicMarkets>
twitter.com/journal_EM <https://twitter.com/journal_EM>
https://www.springer.com/journal/12525
Journal Impact Factor 2018: 3.553
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Administrator: wi-request(a)lists.kit.edu
Konfiguration: https://www.lists.kit.edu/wws/info/wi
-------- Forwarded Message --------
Subject: [WI] CfP HICSS-54 minitrack on Design and Appropriation of
Knowledge and AI Systems - Deadline: June 15
Date: Wed, 13 May 2020 12:05:00 +0200
From: Stefan Smolnik <fuh(a)smolnik.net>
Reply-To: Stefan Smolnik <fuh(a)smolnik.net>
To: wi(a)aifb.uni-karlsruhe.de
(Apologies for cross-postings of this announcement.)
*************************************************
CALL FOR PAPERS
54th Annual Hawai'i International Conference on System Sciences (HICSS-54)
January 5-8, 2021 (Tuesday-Friday)
Grand Hyatt Kauai, Kauai
(https://www.hyatt.com/en-US/hotel/hawaii/grand-hyatt-kauai-resort-and-spa/k…)
Minitrack: Design and Appropriation of Knowledge and AI Systems
(https://hicss.hawaii.edu/tracks-54/knowledge-innovation-and-entrepreneurial…)
Part of the Track: Knowledge Innovation and Entrepreneurial Systems
Minitrack description: The objective of this minitrack is to contribute
to the body of knowledge that helps scholars and practitioners increase
their collective understanding of:
(1) How knowledge and AI systems are planned, designed, built,
implemented, used, evaluated, supported, upgraded, and evolved;
(2) How knowledge and AI systems impact the context in which they are
embedded; and
(3) The human behaviors reflected within and induced through both (1)
and (2)
By knowledge and AI systems, we mean systems in which human participants
and/or machines perform work (processes and activities) related to the
creation, retention, transfer and/or application of knowledge using
information, technology, and other resources to produce informational
products and/or services for internal or external customers. Such
systems may include, but are not limited to, knowledge management
systems, decision systems, social media, expert systems, machine
learning systems, and other AI systems as well as any other IT-enabled
knowledge processes.
We welcome both design science and design theory research in knowledge
and AI systems as well as behavioral research related to the
appropriation of knowledge and AI systems in order to span the entire
lifecycle of such systems. Topics relevant for submissions include, but
are not limited to, the following:
- Theoretical models, methodologies, tools as well as technological and
managerial practices for planning, designing, building, implementing,
using, evaluating, supporting and upgrading knowledge and AI systems
- Case studies focusing on the planning, designing, building,
implementing, using, evaluating, supporting and upgrading of knowledge
processes and technologies (e.g., virtual reality, social media, expert
systems, data analytics, AI, machine learning, e-learning)
- Systems design for social knowledge creation and use (e.g. social
media system architectures)
- Development of frameworks for classifying knowledge and AI systems
- Incorporating and/or integrating knowledge services and mashups,
social media, Web 2.0/3.0, cloud computing, and/or ubiquitous
technologies in knowledge and AI systems
- Appropriation and use of social media upon individual users, groups,
businesses, and governments for supporting knowledge processes
- Diversity aspects of designing and appropriating knowledge and AI systems
- Changing organizational cultures and structures through knowledge and
AI systems
- Design, evaluation, and/or use of processes, semantic technologies,
knowledge retrieval and representation methods, and/or systems to map,
track and/or visualize social networks and/or work systems in order to
facilitate knowledge creation and sharing and quick problem solving
(e.g., when unexpected coordination breakdowns emerge)
- Risks and challenges of knowledge and AI systems for knowledge
practices (e.g. information overload, ‘operator hand-off’ problems,
technostress, and protection of information assets)
- Design processes, representations, and/or kernel (reference) theories
for co-designing and/or co-evolving knowledge and AI systems
- Technology-in-practice outcomes and processes across both
technology-centric and socio-centric approaches to knowledge and AI
systems design (as related to, but not limited to, various affordance
and agency/agential frameworks, computer-supported cooperative work, etc.)
- Human-computer interaction in a knowledge and AI systems context
- Issues in, limitations of and barriers to accessing tacit knowledge
with knowledge and AI systems
- Human behaviors reflected within human-machine structuration phenomena
For additional information or to submit abstracts, please contact the
minitrack co-chairs:
Stefan Smolnik (Primary Contact), University of Hagen, Germany,
stefan.smolnik<at>fernuni-hagen.de <http://fernuni-hagen.de>
Pierre Hadaya, Université du Québec à Montréal, Canada,
hadaya.pierre<at>uqam.ca <http://uqam.ca>
David Holford, Université du Québec à Montréal, Canada,
holford.w_david<at>uqam.ca <http://uqam.ca>
Important Dates for HICSS-54 Paper Submission:
April 20, 2020: Paper submission begins
June 15, 2020 | 11:59 pm HST: Paper submission deadline
August 17, 2020: Notification of Acceptance/Rejection
September 4, 2020: Deadline for authors to submit the revised version of
papers accepted with mandatory changes (A-M)
September 11, 2020: Notification of Acceptance/Rejection for A-M papers
September 22, 2020: Deadline for authors to submit final manuscript for
publication
October 1, 2020: Deadline for at least one author of each paper to
register for HICSS-54
For further submission information, please see the general HICSS-54 Call
for Papers (https://hicss.hawaii.edu/authors/).
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