[AISWorld] AISWorld Digest, Vol 1852, Issue 1

Marianne Bradford marianne_bradford at ncsu.edu
Mon Aug 7 12:10:01 EDT 2017


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Marianne Bradford, Ph.D. 
Professor
Poole College of Management 
NC State University 
Campus Box 8113
Raleigh, NC 27695-8113
Office: 919-513-1436
Facebook: Modern ERP 



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Today's Topics:

   1. DEADLINE EXTENDED: ACIS2017 Call For Papers (Erin Roehrer)
   2. CAIS commences publication of volume 41 (Jan Recker)
   3. Free online course: Process mining in healthcare just
      started! (Buijs, J.C.A.M.)
   4. Industry Panel at AMCIS - Pre-AMCIS SIGHealth workshop:
      Innovations in Health Care Transformation: Panels for Industry
      sponsored by Henry Ford Global Health and Bentley Univ Healthcare
      Network (Garfield, Monica)
   5. 1st SIGGRAPH ASIA Workshop on ARTIFICIAL INTELLIGENCE MEETS
      VIRTUAL AND AUGMENTED REALITIES (Artur Lugmayr)
   6. ACM SAC 2018 - Collective Adaptive Systems - Call for Papers
      (Barbara Re)
   7. Open position - SIGODIS (Ontology Driven Intelligent Systems)
      - Treasurer (Don Heath)
   8. CFP to Special Issue in SCAC on Scalable Algorithms and
      Behavior Analytics in Cyber-Enabled World - Deadline Mar. 31,
      2018 (Xiaokang Zhou)
   9. Faculty Positions in Digital Forensics/Cyber Security in the
      School of Business at the University at Albany, SUNY (Goel, Sanjay)
  10. Call For Papers: Profit Driven Analytics (Mohin, Sophie)


----------------------------------------------------------------------

Message: 1
Date: Sun, 6 Aug 2017 23:22:33 +0000
From: Erin Roehrer <erin.roehrer at utas.edu.au>
To: "aisworld at lists.aisnet.org" <aisworld at lists.aisnet.org>
Subject: [AISWorld] DEADLINE EXTENDED: ACIS2017 Call For Papers
Message-ID: <31C2765A-54B6-4F95-A3C1-8BCF1B63157A at utas.edu.au>
Content-Type: text/plain; charset="utf-8"

DEADLINE EXTENDED: PAPERS NOW DUE 18TH AUGUST 2017

CALL FOR PAPERS

28th Australasian Conference on Information Systems
4th-6th December 2017,
Hobart, Tasmania, Australia,
https://www.acis2017.org<https://www.acis2017.org/>

The Australasian Conference on Information Systems (ACIS) is the premier
conference in the Australasian region for the Information Systems
discipline. This year will mark the 28th year of the conference?s long
history. ACIS 2017 will be hosted by the University of Tasmania in Hobart,
Australia, at the Wrest Point Hotel Casino<http://wrestpoint.com.au/>.

Information Systems is a young, broad discipline that has already been
exposed to change and challenge through ICT based innovation of business and
the blurring of boundaries between business and the community. Ultimately,
our breadth of inquiry is a strength of the Information Systems community
but one that may be viewed as a weakness when not clearly communicated. This
applies in particular given that IS as a discipline naturally interfaces
across a range of disciplinary boundaries.

Accordingly, this year?s conference theme is Data, Knowledge and Decisions.
With this theme, we wish to highlight both the reach of the Information
Systems community to a plethora of disciplines, and also the variety of
challenges, ranging from data analytics and decision making to inquiries
about the very nature of data, knowledge, and decisions which may be
conceptualised and experienced in very different ways.

Therefore, at ACIS 2017 we would like to challenge you to think critically
about Data, Knowledge and Decisions. What are our challenges in light of the
large volume of data currently being generated, which needs to be managed,
organised and analysed to determine its value proposition? How can we
support the creation of knowledge from the information that is created
through the analysis of such data? As one of the fundamental roles of
Information Systems is supporting decision making, how do we adjust our
current understanding of Information Systems in response to new technology,
such as social media?

Join us at ACIS2017 in Hobart, where we will explore these issues both
through our plenary sessions and our collection of thematic tracks.

KEYNOTE SPEAKERS

- Professor Suprateek Sarker, University of Virginia
- Professor Paul Dourish, University of California, Irvine
- Professor Mardi Dungey, University of Tasmania


Conference Tracks:
1.     Digital Business Innovation
2.     Social media in organisations and society
3.     Design and design science in IS
4.     Diversity, inclusion and cross cultural issues in IS
5.     Alternative approaches and genres in IS
6.     Agile, Project Management and IS Development
7.     Knowledge management (information management)
8.     Data analytics and visualisation in decision-making
9.     IS philosophy and research methods
10.  HCI, the user experience and human centred IS
11.  Service science, management and innovation in IS
12.  IS education, training and learning technologies
13.  Health Informatics
14.  Green IS and sustainability
15.  IS security management and privacy
16.  General track

Submission Types:
- Full Research Papers
- Research-In-Progress Papers

Full Research Papers
Completed research papers should include all details of the research
undertaken including research method, data analyses and results. These
papers should be of the highest academic standard. Papers can be conceptual
in nature, technical or empirical. Empirical papers may report on research
that is either quantitative or qualitative or mixed methods. Research papers
must be no more than 10 pages in length and must adhere to the ACIS 2017
template.

Research-in-Progress Papers
Research-in-progress papers present an interesting research topic that has
not yet been (fully) investigated but that will be of interest to the
Information Systems community. These papers should include expected
results/conclusions, but may lack actual results or may have only
preliminary results. Research-in-progress papers are still expected to apply
the same standards of academic rigour as is the case for research papers. In
particular, research-in-progress papers are not unfinished research papers;
it is the research itself that is unfinished. Research in progress papers
should be no more than 8 pages in length and adhere to the ACIS 2017
template.

Research-in-progress papers will be presented by the authors as posters in a
dedicated session during the conference. The best accepted
research-in-progress papers will be invited to be presented in a regular
presentation session and be published in the proceedings.

Submissions of both Research and Research in progress papers should be made
to the track that best fits the topic area (see above).

Panel, Workshop and Tutorial Proposals
Shortly we will also invite proposals for panels, workshops and tutorial
sessions. Details on the format of these sessions and on the review process
will follow in a separate call for submissions and will be made available
via the ACIS 2017 website.


Important Dates:
- Full and Research-In-Progress paper submission deadline Fri 11th August
Fri 18th August 2017

- Notification of acceptance of papers: Tues 20th September 2017

Conference Co-Chairs - Prof Christopher Lueg, University of Tasmania, Prof
Henry Duh, University of Tasmania, A/Prof Leonie Ellis, University of
Tasmania

Program Co-Chairs - Prof Kai Riemer, The University of Sydney, A/Prof Marta
Indulska, University of Queensland, Prof Virpi Tuunainen, Aalto University
(Finland)

Organising Chair - Dr. Erin Roehrer, University of Tasmania


________________________________
Dr Erin Roehrer FHEA<https://www.heacademy.ac.uk/recognition-accreditation>
Lecturer
MITS Degree Coordinator
Academic Mentor BIS, AIEN Shanghai Ocean University
School of Engineering and ICT | Faculty of Science, Engineering and
Technology
University of Tasmania
Private Bag 87
Hobart TASMANIA 7000
T +61 3 6226 6214 |  F +61 3 6226 1824
Web: www.utas.edu.au<http://www.utas.edu.au/engineering/>


        [cid:image002.png at 01D30F5E.B31756B0]





CRICOS 00586B
_____________________________________________



University of Tasmania Electronic Communications Policy (December, 2014).
This email is confidential, and is for the intended recipient only. Access,
disclosure, copying, distribution, or reliance on any of it by anyone
outside the intended recipient organisation is prohibited and may be a
criminal offence. Please delete if obtained in error and email confirmation
to the sender. The views expressed in this email are not necessarily the
views of the University of Tasmania, unless clearly intended otherwise.
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Message: 2
Date: Mon, 7 Aug 2017 05:49:08 +0000
From: Jan Recker <j.recker at qut.edu.au>
To: "aisworld at lists.aisnet.org" <aisworld at lists.aisnet.org>
Subject: [AISWorld] CAIS commences publication of volume 41
Message-ID:
	
<MEXPR01MB053522E25554751BEF2A6FFCA6B50 at MEXPR01MB0535.ausprd01.prod.outlook.
com>
	
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Dear colleagues,
I am pleased to announce the start of publication of Volume 41 of the
Communications of the Association for Information Systems, available online
at http://aisel.aisnet.org/cais/.
The new volume contains an initial set of ten papers offering a blend of
research articles, case studies, bibliometric studies, commentaries and
teaching cases that I trust you will interesting.

Theorizing Information Systems as Evolving
Technology<http://aisel.aisnet.org/cais/vol41/iss1/1>
E B. Swanson

Shadow Systems, Risk, and Shifting Power Relations in
Organizations<http://aisel.aisnet.org/cais/vol41/iss1/3>
Daniel Furstenau, Hannes Rothe, and Matthias Sandner

Familiarity with Big Data, Privacy Concerns, and Self-disclosure Accuracy in
Social Networking Websites: An APCO
Model<http://aisel.aisnet.org/cais/vol41/iss1/4>
Tawfiq Alashoor, Sehee Han, and Rhoda C. Joseph

Social Media Exploitation by Covert Networks: A Case Study of
ISIS<http://aisel.aisnet.org/cais/vol41/iss1/5>
Lee Freeman, Robert Schroeder, and Sean F. Everton

Evaluating Enterprise Architecture Frameworks Using Essential
Elements<http://aisel.aisnet.org/cais/vol41/iss1/6>
Q. Neo Bui

The Sphere of Influence of Information Systems Journals: A Longitudinal
Study<http://aisel.aisnet.org/cais/vol41/iss1/7>
Lianlian Jiang, Dan Jiang, and Varun Grover

Global Ranking of Management- and Clinical-centered E-health
Journals<http://aisel.aisnet.org/cais/vol41/iss1/9>
Alexander Serenko, Michael S. Dohan, and Joseph Tan

Time for Some Changes to ICIS? Reflections on our Highest-quality
Conference<http://aisel.aisnet.org/cais/vol41/iss1/8>
Cathy Urquhart, Traci Carte, and Armin Heinzl

A Bring-your-own-device Case for Use in the
Classroom<http://aisel.aisnet.org/cais/vol41/iss1/10>
Janice C. Sipior, James Bierstaker, Q. Chung, and Johnny Lee

Using Embedded Mixed Methods in Studying IS Phenomena: Risks and Practical
Remedies with an Illustration<http://aisel.aisnet.org/cais/vol41/iss1/2>
Xiaodan Yu and Deepak Khazanchi
Following the tradition of CAIS, we will continue uploading new papers to
the volume as they become ready for production. You can check for accepted
papers queued for publication at
http://aisel.aisnet.org/cais/forthcoming.html.
Thanks for your continuing interest in the Communications of the Association
for Information Systems.
Please follow us on Facebook
(https://www.facebook.com/CommunicationsoftheAIS/) and Twitter
(https://twitter.com/AIS_CAIS).

Happy reading, tweeting and posting.

With regards,

Professor Jan Recker | Editor in Chief, Communications of the Association
for Information Systems
QUT Business School | Queensland University of Technology
www.janrecker.com<http://www.janrecker.com/> |
http://scientific-research-in-is.org/ |
https://research.qut.edu.au/digital-innovation-research/
Phone: +61 7 3138 0939 | Fax: +61 7 3138 1313 | Email:
j.recker at qut.edu.au<mailto:j.recker at qut.edu.au> | CRICOS No. 00213J
[QUT_busschool_colour]   [BUSacclogo_LINE_cmyk]

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------------------------------

Message: 3
Date: Mon, 7 Aug 2017 10:59:06 +0000
From: "Buijs, J.C.A.M." <j.c.a.m.buijs at tue.nl>
To: "aisworld at lists.aisnet.org" <aisworld at lists.aisnet.org>
Subject: [AISWorld] Free online course: Process mining in healthcare
	just started!
Message-ID:
	<327E3DC7D3717C40B8F3D43FC768D724CBDD340A at xserver30c.campus.tue.nl>
Content-Type: text/plain; charset="iso-8859-1"

On August 7 the first run of the free FutureLearn online course 'Process
mining in healthcare' started, but you can still
join<https://www.futurelearn.com/courses/process-mining-healthcare?utm_campa
ign=eindhoven_university_of_technology_process_mining_healthcare_august_2017
&utm_medium=organic_email&utm_source=newsletter_broadcast>!
Healthcare in particular has come under increasing pressure to reduce cost
while improving the quality of care. One way to achieve this is by further
improving the efficiency of treatment processes: by making more efficient
use of the scarce resources, only effective treatments are executed.
Luckily, the advance of big data and increased support of information
systems in day-to-day healthcare processes provide the data needed to find
efficiency gains.
Process mining is a novel collection of techniques that connects the areas
of data science and business process management. Using process mining
techniques healthcare processes can be analysed in great detail. Based on
event data (what happened when, by which resource, and for which patient),
process mining techniques can automatically discover process models,
describing the process flow of the majority of patient treatments. Existing
process models or guidelines can be validated against the event data, in
order to analyse deviations. Performance and bottleneck information can be
projected on process models to easily detect where most time is spent in a
process. Also the social network of how resources in a process collaborate
and hand over work can be analysed, all based on the event data containing
four columns: what, when, for which patient, and by whom.
In this free
course<https://www.futurelearn.com/courses/process-mining-healthcare?utm_cam
paign=eindhoven_university_of_technology_process_mining_healthcare_august_20
17&utm_medium=organic_email&utm_source=newsletter_broadcast> you will learn
how process mining can provide answers to the most common challenges in
healthcare. We will discuss the healthcare environment, and spend
significant time on how to get the right data. We also provide example
datasets, both artificial and from real-life, which are used in tutorials
where our free and open source process mining software ProM is applied, by
you!
We will also present several case studies, where process mining techniques
have been applied in real healthcare organisations. For each case study we
will discuss the main goal, provide an overview of the obtained results, and
provide the key conclusions and impact on the processes. These case studies
are contributed by different partners.
The course 'Process mining in healthcare' is an initiative of the European
Data Science Academy EU project<http://edsa-project.eu/>, and the 'Process
mining for healthcare' consortium<http://www.processmining4healthcare.org/>.
Lead educator is dr.ir. Joos Buijs from Eindhoven University, who
specialises in process mining in the healthcare domain.
Are you interested? Or do you want to know more? Register for free at
FutureLearn for our online course 'Process mining in
healthcare'<https://www.futurelearn.com/courses/process-mining-healthcare?ut
m_campaign=eindhoven_university_of_technology_process_mining_healthcare_augu
st_2017&utm_medium=organic_email&utm_source=newsletter_broadcast>!
We hope to see you soon!
Joos Buijs - Eindhoven University of Technology
Carlos Fernandez-Llatas - Universitat Polit?cnica de Val?ncia
Roberto Gatta - Gemelli ART (Advanced Radiation Therapy) and KBO (Knowledge
Based Oncology) Labs, Rome
Jorge Munoz-Gama - Pontificia Universidad Cat?lica de Chile
Marcos Sepulveda - Pontificia Universidad Cat?lica de Chile
Lucia Sacchi - University of Pavia
Davide Aloini - University of Pisa
And the members of the European Data Science Academy EU
project<http://edsa-project.eu/> and Process mining for healthcare
consortium<http://www.processmining4healthcare.org/>.




------------------------------

Message: 4
Date: Mon, 7 Aug 2017 12:20:06 +0000
From: "Garfield, Monica" <MGarfield at bentley.edu>
To: "'aisworld at lists.aisnet.org'" <aisworld at lists.aisnet.org>
Subject: [AISWorld] Industry Panel at AMCIS - Pre-AMCIS SIGHealth
	workshop: Innovations in Health Care Transformation: Panels for
	Industry sponsored by Henry Ford Global Health and Bentley Univ
	Healthcare Network
Message-ID:
	
<400D26D03D94DD4B97DD56D7AC89F32FFC061B2C at EXCHMB1.gold.ad.bentley.edu>
Content-Type: text/plain; charset="us-ascii"

INSIGHTS FROM THE EXPERTS!
Join us at the SIGHealth Pre-AMCIS
workshop<http://www.aissighealth.com/wordpress/sighealth-pre-amcis-workshop-
innovations-in-health-care-transformation-panels-from-industry-specialists/>
(sign up as you register for AMCIS in Boston<https://amcis2017.aisnet.org/>
- on the second page under Attendee selection, Thursday, Aug 10, 2017
SIGHealth: Innovations in Health Care - Panels from Industry (sponsored by
Henry Ford Global Health and Bentley Univ Healthcare Network))

Innovations in Health Care Transformation:
Panels from Industry Specialists

Thursday Aug 10, 2017
8:30 am-1:30 pm
Sheraton Boston, 39 Dalton St, Boston, MA 02199

Sponsored by Henry Ford Global
Health<https://www.henryford.com/hcp/academic/medicine/divisions/id/ghi>,
Bentley University Health Thought Leadership
Network<http://www.bentley.edu/healthtln> &
SIGHealth<http://www.aissighealth.com/wordpress/>

Coordinators:
Monica Garfield, Bentley University
(mgarfield at bentley.edu<mailto:mgarfield at bentley.edu>)
Mohan Tanniru (tanniru at oakland.edu<mailto:tanniru at oakland.edu>), Oakland
University & Henry Ford Global Health

Schedule of Panels and Speakers (Health Care Workshop Panel
Bios<http://www.aissighealth.com/wordpress/wp-content/uploads/2017/05/Health
-Care-Workshop-Panel-Bios.pdf>)
See: Learning Objectives from the Health Care
Workshop<http://www.aissighealth.com/wordpress/wp-content/uploads/2017/05/Le
arning-Objectives-from-the-Health-Care-Workshop.pdf>
Time

Session

Panelist

8:30-10:00

Panel 1:
Care Innovations outside the Hospital Walls


1.Dr. Ramu Kannan, Chief Information Officer, CityMD

2.Mr. Rakhee Langer, Patient Engagement, eClinicalWorks

3.Win Burke, President & CEO and Co-Founder, igetbetter.com

4.Mr. David Bobryk, BI Manager, St Joseph Mercy Health Systems

10:00-10:15

Break




10:15-11:45

Panel 2: Care Innovations inside the Hospital Walls



1.Dr. Bassam Kadry Anesthesiologist, Informatist, and the Director of
Technology Discovery and Strategic Development, Stanford University School
of Medicine.

2.Mitchell Tsai, M.D. Clinical Instructor, Department of Anesthesiology, UVM

3.Jack Weiner,  President of JW Healthcare Concepts

4.Dr. Benjaven Upatising, Health Systems Engineering, UMass Memorial,
Worcester

11:45-12:00

Break




12:00-1:30

Panel 3: Innovations in Care Transformations


1.Mr. Janak Joshi, SVP and CTO, lifeIMAGE

2.Mr. Alex Plum, Senior Program Coordinator, The Global Health Initiative at
Henry Ford Health System

3.Deven Atnoor, Sysbiochem, LLC

4.        Mr. Ken Accardi, CEO at Ankota





Overview
Health care innovations have always been important to the advancement of
medical care and the well-being of the individual.  These innovations have
taken on an even greater significance in the recent decade due to the
national attention on making affordable care accessible to more people by
reducing the overall cost of care. These innovations can be seen in products
as well as services that complement the health care industry.  Some of these
innovations occur inside the medical facility while others are present
outside medical facilities.  Technology artefacts that support innovations
in patient care need to consider the complex care process between patients
and a team of health care providers. This calls for an integration of these
technology artefacts (products) with innovative care processes to align the
goals of many of these care providers with the health needs of their
patients.  The goal of this workshop is to look at a mix of product and
process innovations in each stage of the care cycle: preventive care,
"hospital" care and post-discharge care.  The workshop panelists will
present their work in the design and delivery of health care innovations as
well as opportunities and challenges in assimilating such innovations into
the care processes.
****************************************************************************
***************
Dr. Monica J. Garfield
175 Forest Street
Professor
Waltham, MA 02452 USA
CIS Department
781-891-2910
Bentley University
mgarfield at bentley.edu<mailto:mgarfield at bentley.edu>






------------------------------

Message: 5
Date: Mon, 7 Aug 2017 13:11:37 +0000
From: Artur Lugmayr <artur.lugmayr at artur-lugmayr.com>
To: "aisworld at lists.aisnet.org" <aisworld at lists.aisnet.org>
Subject: [AISWorld] 1st SIGGRAPH ASIA Workshop on ARTIFICIAL
	INTELLIGENCE MEETS VIRTUAL AND AUGMENTED REALITIES
Message-ID:
	
<HE1PR0502MB3066592EE82B6105BEAC223EB6B50 at HE1PR0502MB3066.eurprd05.prod.outl
ook.com>
	
Content-Type: text/plain; charset="us-ascii"

============================================================================
=====================

                                          Call for Papers, Abstracts, Demos
and Posters

                        1st Workshop on ARTIFICIAL INTELLIGENCE MEETS
VIRTUAL AND AUGMENTED REALITIES
                                                        AI-VR-AR 2017

                                            in conjunction with SIGGRAPH
ASIA 2017
                                                   27th-30th November 2017
                                                       Bangkok, Thailand

 
http://aivr.ambientmediaassociation.org

The workshop intends to attract a broad range of contributions to develop
this scholarly field during a full day venue.
We invite scholars and practitioners to discuss synergies between virtual
and augmented reality (VR & AR) and artificial
intelligence (AI) and machine learning (ML). The aim is to gather a
cross-disciplinary team of experts with a background
in computer science, Human-Computer Interaction (HCI), psychology/cognitive
sciences, culture/communication studies,
design and art to develop this fascinating intersection. The aspects to
discuss range from user-experience, technologies
applications, methods, cultural implications, communication theories, to
artistic approaches.

Workshop Highlights:
- Workshop proceedings published in a Scopus indexed series
- Best papers are published as part of an edited book or journal special
issue with high level publisher
- Submission deadline: 15 August, 2017


============================================================================
=====================


While AI's main aim is to replicate human intelligence, AR and VR focuses
its research efforts on the creation of artificial
worlds either in complete virtual world, or as part of our physical
environment. Many examples that bridge the two fields have
emerged recently, e.g. intelligence in digital games, utilization of
computer graphics hardware for deep learning and AI, emotional
and affective interaction, etc. Thus, while AI and VR/AR went rather
distinct research pathways, we attempt to bring them together,
and discuss different aspects at the intersection of machine intelligence
and human interaction in a mixed reality. We raise the
question: what happens when artificial worlds start to think, and we humans
interact with it? We would like to follow up the
philosophical discussions around issues such as what happens when things
start to think, and Alan Turing's works. In this workshop,
we would like to raise a question: what would happen when artificial worlds
start to think, and how  we humans can interact and
communicate with AI through e.g. affective interfaces?

As our emphasis is on creating the synergy between VR/AR and AI/ML, we are
not limited to particular areas; instead, the following
exemplary topics might help to gather ideas for a possible contribution:
affective and emotional computation, communication
with AI, digital game analytics, utilization of computer graphics hardware
for deep learning, personalization and recommender
systems, UX with agents and physical robots, cultural robotics, or AI in
information visualization.

----------------------------------------------------------------------------
--
TOPICS OF INTEREST (BUT NOT LIMITED TO)
----------------------------------------------------------------------------
--

* Artificial Intelligence and machine learning in VR/AR
* Emotions and AI in VR, AR, and smart objects
* Human-Computer-Interaction with AI in virtual worlds
* Digital games and artificial intelligence
* How do humans communicate with AI
* Emotion enriched human-AI collaboration
* AI in digital games and other application areas
* User-Experience and interaction with AI
* Intelligent interaction with robots and physical objects
* Visualisation of cultural data
* Affective human-virtual world interaction
* Design of emotionally intelligent AI
* Recommender systems and personalisation in VR, AR
* Information visualisation and AI and ML
* Communication theory and cognitive science
* Affective ambient intelligence in mixed realities
* UX with AI agents or physical robots
* AI based emotion mediated communication in VR/AR
* Tools for authoring emotional intelligence in VR/AR
* Multimodal affective interfaces in VR/AR
* Human-human emotional communication in VR/AR
* Cultural robotics

The workshop proceedings will be published in a Scopus indexed proceedings
series with an ISBN number as part of
the Semantic Ambient Media Experience (SAME) workshop series. The very best
contributions will be published in an
edited book from a highly reputable publisher which has been pre-arranged.
Please note that only selected high quality
contributions will be published as part of the edited book. However, during
the workshop a common journal article
co-authored between all workshop participants will be published as an
introduction chapter.


----------------------------------------------------------------------------
--
IMPORTANT DATES
----------------------------------------------------------------------------
--
15/08/2017: Deadline for workshop papers
21/08/2017: Notification of accepted workshop papers
31/08/2017: Camera ready workshop papers
29/09/2017: Registration for the Workshop
27/11/2017: Workshop Day

----------------------------------------------------------------------------
--
SUBMISSION GUIDELINES
----------------------------------------------------------------------------
--
The workshop program stretches over a full-day, and will contain a
combination of invited keynote presentations, oral
presentations, posters, and demonstrations. We are calling for paper
submissions of extended abstracts between 2-5 pages long,
following the submission format of SIGGRAPH Asia's style template. Please
choose one of the three submission categories:
* Abstract: 1-2 pages long
* Short paper, demo, or poster: 2-4 pages long
* Long paper: 4-6 pages long

Please download the paper template from:
https://sa2017.siggraph.org/submitters/submission-information?faqitem=accord
ion301
The copyright form can be downloaded from:
http://www.visemex.ambientmediaassociation.org/wp-content/uploads/2016/09/Co
pyrightForm.pdf

Your submission should include: scanned signed copyright form + original
contribution in word or latex + pdf of the paper
Please do NOT include the ACM copyright strip (first page, bottom left) into
your submission

Add ALL your files (copyright form, word document/latex files, scanned
copyright form) into ONE zip file.
Upload the zip file to the workshop submission system on:
http://www.ambientmediaassociation.org/Submissions/2017AIVR/openconf.php


----------------------------------------------------------------------------
--
RECOMMENDED READINGS PRIOR SUBMISSION
----------------------------------------------------------------------------
--
We strongly recommend the ideas and topics from the following papers prior
your submission or as part of a
paper submission in its discussion section:
* Lugmayr, A. et al., 2017. Cognitive Big Data. Survey and Review on Big
Data Research and its Implications: What is Really "New"? Cognitive Big
Data! Journal of Knowledge Management (JMM), 21(1). Available at:
http://www.emeraldgrouppublishing.com/products/journals/call_for_papers.htm?
id=5855k, Journal of Knowledge Management/Emerald.
* Sun, M., Zhao, Z., and Ma, X. (2017). Sensing and Handling Engagement
Dynamics in Human-Robot Interaction Involving Peripheral Computing Devices.
In Proc. CHI2017 (to appear).
* Zhu, F., Fang, K., and Ma, X. (2017). Exploring the Effects of Strategy
and Arousal of Cueing in Computer-Human Persuasion. In Proc. CHI2017 EA (to
appear).
* Yang, Y., Ma, X., and Fung, P. (2017). Perceived Emotional Intelligence in
Virtual Agents. In Proc. CHI2017 EA (to appear).
* Ma, X. (2016). Developing Design Guidelines for a Visual Vocabulary of
Electronic Medical Information to Improve Health Literacy. Interacting with
Computers.
* Zhu, K., Ma, X., Chen, H., and Liang, M. (2016). Tripartite Effects:
Exploring Users' Mental Model of Mobile Gestures under the Influence of
Operation, Handheld Posture, and Interaction Space. International Journal of
Human-Computer Interaction.
* A. Lugmayr, E. Serral, A. Scherp, B. Pogorelc, and M. Mustaquim, "Ambient
media today and tomorrow," Multimedia Tools and Applications, vol. 71, 2014,
pp. 7-37 Available: http://dx.doi.org/10.1007/s11042-012-1346-z.
* ZHU Kening, ZHU Rongbo, H SAMANI, BB JALAEIAN, PaperIO: a 3D interface
towards the internet of embedded paper-craft, IEICE Transactions on
Information and Systems, 2014

----------------------------------------------------------------------------
--
WORKSHOP ORGANISERS
----------------------------------------------------------------------------
--
Artur Lugmayr
Associate Professor
School of Media, Culture and Creative Arts
Curtin University, Australia

Kening Zhu
Assistant Professor
School of Creative Media, City University of Hong Kong

Xiaojuan Ma
Assistant Professor
Hong Kong University of Science and Technology (HKUST)

----------------------------------------------------------------------------
--
CONTACT INFORMATION
----------------------------------------------------------------------------
--
In case of questions, please don't hesitate to contact:
artur.lugmayr at artur-lugmayr.com<mailto:artur.lugmayr at artur-lugmayr.com>



------------------------------

Message: 6
Date: Sat, 5 Aug 2017 13:50:20 +0200
From: Barbara Re <barbara.re at unicam.it>
To: xml-dev at lists.xml.org, aisworld at lists.aisnet.org,
	alad at cs.york.ac.uk, 	cdkiekintveld at utep.edu,
	CHI-ANNOUNCEMENTS at listserv.acm.org,
cl-isabelle-users at domain.hidden,
	clean-list at science.ru.nl, 	concurrency at listserver.tue.nl,
	confs-submit at hri.org,	DMANET at zpr.uni-koeln.de,
events at fmeurope.org,
	fm at cs.uiuc.edu, folli at folli.info, 	games at lists.rwth-aachen.de,
	hellas at lists.psu.edu, 	hol-builds at lists.sourceforge.net,
	hypertext at cs.nott.ac.uk, 	ic.eatcs at di.unipi.it,
	imse-owner at math.uiuc.edu, irlist at lists.shef.ac.uk,
	lamas-info at lists.gforge.uni.lu, las-lics at lists.tu-berlin.de,
	logic at math.uni-bonn.de, loginf at lists.tcs.ifi.lmu.de,
	multiagent-subscribe at yahoogroups.com, multiagent at yahoogroups.com,
	PlanetKR at kr.org, procos at jiscmail.ac.uk, PSMETH-L at po.missouri.edu,
	pvs-announce at csl.sri.com, robotics-worldwide at usc.edu,
	semantic-web at w3.org, 	SIGIR at listserv.acm.org,
SIGOPS-ANNOUNCE at acm.org,
	SIGSAND-L at cliffy.ucs.mun.ca, 	Siks at lists.science.uu.nl,
	submit at loriweb.org, types at lists.chalmers.se, 	uai at engr.orst.edu,
	um at di.unito.it
Subject: [AISWorld] ACM SAC 2018 - Collective Adaptive Systems - Call
	for Papers
Message-ID:
	<CAKqrfTz9E55qLmJmOCAVfUbbVVjeT0aCTE0fKEQMfe-uGZ4WPQ at mail.gmail.com>
Content-Type: text/plain; charset="UTF-8"

/*** apologies for cross-posting ***/

-----------------------------------------------------------------------

                          CALL FOR PAPERS

            33rd Annual ACM Symposium on Applied Computing

                      Track on Collective Adaptive Systems

                 9-13 April 2018, Pau, France


                *http://sac-cas2018.apice.unibo.it/cfp.html
<http://sac-cas2018.apice.unibo.it/cfp.html>*

-----------------------------------------------------------------------

Aims and Scope
==================

Nowadays, most aspects of our daily life are affected by pervasive
technology, consisting of massive numbers of heterogeneous components
(e.g., devices, software applications, smart objects), featuring complex
interactions among them and, possibly, with humans.

These complex systems are typically referred to as Collective Adaptive
Systems (CAS). Such systems have to be equipped with dynamic and autonomous
adaptation capabilities, to deal with changes in their working environments
and within themselves. CAS are also collective systems as they involve huge
collections of cooperating components, trading off individual tasks with
overall system goals.

The development of CAS is closely related to other contemporary software
engineering approaches, such as self-adaptive systems, component-based
systems, service-based systems, middleware platforms, as well as other
areas of Computer Science, such as Distributed Artificial Intelligence,
Agent-based Programming, Pervasive Computing, Internet of Things, and
Autonomic Computing.

This track aims to provide them with a common forum for discussing their
different viewpoints and for sharing ideas. On this very subject, the aim
is to attract relevant and consistent contributions from many different
research communities.

The Special Track on Collective Adaptive Systems deliberately takes a broad
view of what CAS are and how they should be designed, analysed, implemented
and deployed. In particular, of interest to the track are both foundational
views (e.g., theories, methods, formalisms, models) and practical aspects
(e.g., development methodologies, programming languages, middleware,
development and runtime environments, tools). Moreover, also applications
of CAS solutions to real-world case studies are welcomed.

Major topics of interest this year will include the following:

   - Novel models, languages, programming and implementation techniques for
   CAS
   - Formal aspects for CAS
   - Self-* and emerging properties of CAS
   - Middleware platforms for CAS
   - Knowledge Management and Decision Process Support for CAS
   - Context-aware and adaptive management for CAS
   - Domain-specific Modeling and Languages for CAS
   - Maintenance and evolution for CAS
   - Software architectures and software engineering techniques for CAS
   - Reverse engineering and re-engineering for CAS
   - Testing, verification, and validation for CAS
   - Security, trust and privacy management for CAS
   - CAS emerging technologies and infrastructures: IoT and Cloud
   - Scenarios, case studies and experience reports of CAS

Proceedings and Post-Proceedings
================================
Papers accepted for the Collective Adaptive Systems track will be published
by
ACM both in the SAC 2018 proceedings and in the ACM Digital Library.

Paper registration is required, allowing the inclusion of the
paper/poster in the conference proceedings. An author or a proxy
attending SAC MUST present the paper: This is a requirement for the
paper/poster to be included in the ACM/IEEE digital library. No-show
of scheduled papers and posters will result in excluding them from the
ACM/IEEE digital library.

Authors of selected papers will be invited to submit an extended version of
their work to an international journal.

Student Research Competition (SRC) Program
==========================================
Graduate students are invited to submit research abstracts
(maximum of 2 pages in ACM camera-ready format) following the
instructions published at SAC 2018 website. Submission of the
same abstract to multiple tracks is not allowed.

All research abstract submissions will be reviewed by researchers and
practitioners with expertise in the track focus area to which they are
submitted. Authors of selected abstracts (up to 18 students) will have
the opportunity to give poster and oral presentations of their work
and compete for three top-winning places. The SRC committee will
evaluate and select First, Second, and Third place winners.
The winners will receive medals, cash awards, and SIGAPP recognition
certificates during the conference banquet. Invited students receive
SRC travel support (US$500) and are eligible to apply to the SIGAPP
Student Travel Award Program (STAP) for additional travel support.

Paper Submission
================
Original papers from the above-mentioned or other related areas will be
considered. This includes three categories of submissions:

1. original and unpublished research;
2. reports of innovative computing applications in the arts, sciences,
   engineering, business, government, education and industry;
3. reports of successful technology transfer to new problem domains.

Each submitted paper will undergo a blind review process and will be
refereed by at least three referees.
To ease blind review, *you shall remove author names* from your
paper before submitting it.
Accepted papers in all categories will be published in the ACM SAC
2018 proceedings.

The camera-ready version of the accepted paper should be prepared using
the ACM format (guidelines are given on the SAC 2018 web site).
Accepted full papers should not exceed 6 pages in a double column
format (with the option, for an additional per-page fee, to add 2 more
pages).

Relevant Dates
==============
 - September 15, 2017: Paper submission deadline
 - November 10, 2017: Author notification
 - November 25, 2017: Camera-ready copies due
 - December 10, 2017: Authors registration due
Track chairs and contacts
=========================
*Maurice H. ter Beek - *ISTI-CNR, Italy
email: maurice.terbeek _AT_ isti.cnr.it
*Barbara Re - *Universit? di Camerino, Italy
email: barbara.re _AT_ unicam.it
*Mirko Viroli - *Alma Mater Studiorum - Universit? di Bologna, Italy
email: mirko.viroli _AT_ unibo.it


------------------------------

Message: 7
Date: Sat, 5 Aug 2017 10:58:09 -0500
From: Don Heath <drheath2 at gmail.com>
To: aisworld at lists.aisnet.org
Subject: [AISWorld] Open position - SIGODIS (Ontology Driven
	Intelligent Systems) - Treasurer
Message-ID:
	<CAEyioedXi7O_DWu9DTnjyuyKFZx9qXuUY0XFzvozPm9t---vHA at mail.gmail.com>
Content-Type: text/plain; charset="UTF-8"

The Special Interest Group (SIG) on Ontology Driven Intelligent Systems is
soliciting nominations for the position of Treasurer. As an officer of the
SIG, the Treasurer is a member of the Executive Board. Duties include
attending meetings (conducted via Skype during the academic year),
contributing to decision making for the organization, and reporting on the
financial status of the SIG. According to the By Laws, the term of office
is two years. The term will begin Jan.1st, 2018. Elections will be held via
email on November 1st, 2017.


The treasurer's primary duties shall be to:



   - Maintain the financial records of the SIG and produce an annual
   financial report.
   - Review all applications for membership and maintain a membership
   roster.
   - Submit an annual Financial Report to the AIS Vice President of SIGs
   and Chapters.

To make a nomination or for more information, please email Don Heath at
heathd at uwosh.edu . Nominations will close October 1st, 2017. We will
announce nominees on Oct. 10th, 2017.

-- 
*Donald R. Heath, PhD *
*Information Systems Department*
*College of Business*
*University of Wisconsin Oshkosh*


------------------------------

Message: 8
Date: Mon, 7 Aug 2017 16:25:56 +0900
From: Xiaokang Zhou <zhou at biwako.shiga-u.ac.jp>
To: aisworld at lists.aisnet.org, announcements at ubicomp.org,
	asis-l at asis.org, 	CHI-ANNOUNCEMENTS at listserv.acm.org,
	cipher at ieee-security.org, 	cipher-cfp at ieee-security.org,
	cnom at comsoc.org, comm-theory at ieee.org,
	computational.science at lists.iccsa.org, confs-submit at hri.org
Subject: [AISWorld] CFP to Special Issue in SCAC on Scalable
	Algorithms and Behavior Analytics in Cyber-Enabled World - Deadline
	Mar. 31, 2018
Message-ID:
	<CAGNjhTQsA0=Do-puFWKvrvNxPTEZ1q9T04zMQ9TGVg7gfYKJQw at mail.gmail.com>
Content-Type: text/plain; charset="UTF-8"

[Apologies if you receive this more than once]

[SCAC Call for Papers]
http://static.springer.com/sgw/documents/1608722/application/pdf/scalable+al
gorithms+and+behavior.pdf


=======================================================================
                          Scalable Computing and Communications

                                         Special Issue on

          Scalable Algorithms and Behavior Analytics in Cyber-Enabled World
----------------------------------------------------------------------------
-------------------------------------------------

Aims and Scope

Due to the emerging computing paradigm, the physical, social, and mental
world are increasingly integrating and merging into the cyberspace. In this
emerging but significant field, it is necessary to model the human
individual information processing along with their corresponding behaviors,
in order to build systematic knowledge about new phenomena, behaviors,
properties and practices across the broad applications in cyber-enabled
world. Specifically, studies related to scalable algorithm and behavioral
analysis are conducted in terms of the cyber entities, as well as their
relations and conjugations in physical, social and mental spaces, which
focuses more on the basic attributes, models, functions, and evolutions of
cyber entities, and all their possible relations conjugated with real
things. For this scientific and systematic study, numerous challenges are
raised as: How to establish and improve the foundational theory and
methodology for the scalable computing and data processing in the
cyber-enabled world? How to find a unified way to study and represent the
diversified cyber entities along with their behavior patterns and
communications? How to systematically extract, create, and fuse the
information, knowledge, and intelligence generated across the
physical-social systems for the sustainable utilization? How to deal with
the accompanying issues while producing numerous cyber things, such as
security, reliability, and etc.


Topics may include (but are not limited to):

? Scalable Communications in Cyber-world
? Data Centric Computing in Cyberspace
? Scalable Knowledge Modeling and Management in Cyber-world
? User Behavior Analysis and Modeling in Cyber-physical Systems
? User Influence Measure and Model in Cyberspace
? Cyber-Social Sensing and Behavior Analysis
? Scalable Cyber Hybrid Interface/System Design
? Scalable Mechanisms for Intelligent Transportation Systems
? Cyber-Based Learning Analytics with Scalable Computing
? Cyber-Empowered Sentiment Analysis and Mental Computing
? Wearable Computing and Smart Sensor
? Scalable Computing for Healthcare
? Scalability in Cyber Security, Privacy and Reliability
? Scalable algorithms for Cyber Visualization
? Scalable deep learning architectures
? Scalable Brain-inspired Computing and Soft Computing
? Scalable Agent-based Computing
? Scalable algorithms for the Internet of Things
? Scalable algorithms for Edge computing (EC) and Mobile Edge Computing
(MEC)
? Scalable Services for Pervasive Computing


Submissions

Authors should prepare their manuscript according to the Guide for Authors
of Scalable Computing and Communications available from
http://www.springer.com/41122 , and submit online at:
https://www.editorialmanager.com/scac . To ensure that the manuscript is
correctly identified for inclusion into the special issue, authors must
select "Scalable Algorithms and Behavior Analytics in Cyber-Enabled World"
when they reach the ?Article Type? step in the submission process.


Tentative Schedule

Paper Submission Due:                                              Mar. 31,
2018
Completion of first review cycle:                                 Jul. 15,
2018
Deadline for submitting the revised papers:               Oct. 15, 2018
2nd review completion:                                               Nov.
30, 2018
Camera-ready Manuscript Due:                                  Dec. 31, 2018


Guest editors:

Xiaokang Zhou, Shiga University, Japan
Kevin Wang, The University of Auckland, New Zealand
Flavia C. Delicato, Federal University of Rio de Janeiro, Brazil
Adnan Al-Anbuky, Auckland University of Technology, New Zealand


Contact Information

Corresponding Guest Editor, Dr. Zhou (zhou at biwako.shiga-u.ac.jp)

-- 
Xiaokang Zhou (? ??), Ph.D.

Faculty of Data Science
The Center for Data Science Education and Research, Shiga University
1-1-1 Banba, Hikone, Shiga 522-8522, Japan
Email: zhou at biwako.shiga-u.ac.jp
Phone: +81-749-27-1290


------------------------------

Message: 9
Date: Fri, 4 Aug 2017 15:09:06 +0000
From: "Goel, Sanjay" <goel at albany.edu>
To: "goel at listserv.albany.edu" <goel at listserv.albany.edu>,
	"forensics at listserv.albany.edu" <forensics at listserv.albany.edu>,
	"aisworld at lists.aisnet.org" <aisworld at lists.aisnet.org>
Subject: [AISWorld] Faculty Positions in Digital Forensics/Cyber
	Security in the School of Business at the University at Albany, SUNY
Message-ID: <BD76AD45-3FF2-4BFA-8C09-1B48CFE9E0E0 at albany.edu>
Content-Type: text/plain; charset="utf-8"

The School of Business of the University at Albany, State University of New
York invites applications for 3 tenure track Assistant Professor positions
in Digital Forensics and Cyber Security beginning fall 2018. Exceptional
candidates at associate level can also be considered. These positions are
part of a multi-year initiative to implement a Digital Forensics program at
both undergraduate and graduate levels.
Please note that we will be interviewing at AMCIS in Boston. Please send me
an email to the chair of the search Sanjay Goel
(goel at albany.edu)<mailto:goel at albany.edu)> if you are interested in
interviewing.
Qualifications:
Candidates should have a Ph.D. in MIS, Computer Science, Information
Science, or a related discipline, along with a strong background in the
information security and/or digital forensics. The faculty will support the
very successful undergraduate program in Digital Forensics as well as a new
1-year master?s program in Digital Forensics.
We expect new faculty members to participate in research, curriculum
development, teaching, and grant-related activities (writing, reporting, and
management). We have a long history of strong research funding and will
prefer candidates with demonstrated experience in applying for and obtaining
external funding.
This is a 10-month appointment that allows for supplementary summer salary
from research funding. The normal teaching load is two courses per semester
for faculty who work with graduate students and who are research active
(before course buyouts). We expect new faculty to strengthen our majors,
strengthen our undergraduate program, and strengthen the University mission
through (i) teaching with distinction, (ii) maintaining a strong
externally-funded research program, (iii) effectively mentoring graduate
students, and (iv) participating as necessary in service to the department,
school, and the university.
Requirements:
Applicants should expect to have a Ph.D. by September 2018 from a university
accredited by the U.S. Department of Education or an internationally
recognized accrediting organization.  We will also consider exceptional
candidates who are expected to defend and complete their dissertation work
in fall 2018. Applicants must address in their applications their ability to
work with and instruct a culturally diverse population.
Additional Information:
Professional Rank and Salary Range:  Assistant Professor ? Competitive
Start Date:  Fall 2018
For any questions regarding the positions or the search process please reach
out the the Chair of the search Prof. Sanjay Goel at
goel at albany.edu<mailto:goel at albany.edu> or 518 495 5500.
Applicants MUST submit the following documents:

  1.  A detailed curriculum vita with publications cited in detail
  2.  Information on present or past grants (both grants applied and grants
successful)
  3.  A statement of research and teaching goals
  4.  The names and contact information of three references
  5.  Applicants must address in their applications their ability to work
with and instruct a culturally diverse population
  6.  At least three reference letters (send to the chair of the search
committee)
The entire package should be submitted via the interview exchange link
below:
https://albany.interviewexchange.com/jobofferdetails.jsp?JOBID=53140<https:/
/albany.interviewexchange.com/jobofferdetails.jsp?JOBID=78357>
Best Wishes,
Sanjay Goel

________________________________
Director of Research, NYS Center for Information Forensics and Assurance
Chair and Professor, Information Technology Management, School of Business
University at Albany, State University of New York
Massry Center for Business (BB) 301G, 1400 Washington Ave. Albany, NY 12222
PH: (518) 956-8323     FX: (518) 442-4042
http://www.albany.edu/~goel

------------------------------

Message: 10
Date: Mon, 7 Aug 2017 15:40:17 +0000
From: "Mohin, Sophie" <SMohin at liebertpub.com>
To: "aisworld at lists.aisnet.org" <aisworld at lists.aisnet.org>
Subject: [AISWorld] Call For Papers: Profit Driven Analytics
Message-ID:
	
<CY4PR16MB18482000BB7189736F66C89BADB50 at CY4PR16MB1848.namprd16.prod.outlook.
com>
	
Content-Type: text/plain; charset="iso-8859-1"


Big DATA journal:
CALL FOR PAPERS
Profit-Driven Analytics
full announcement<http://www.liebertpub.com/cfp/profit-driven-analytics/30/>
Guest Editors:

Bart Baesens
KU Leuven Belgium

Wouter Verbeke
Vrije Universiteit Brussel, Belgium

Cristian Bravo
University of Southampton, United Kingdom

Deadline for Submission: September 15,
2017<https://mc.manuscriptcentral.com/big>

Special Issue Publication date: March 2018

**Please include the special issue title in your cover letter when
submitting your manuscript.

Businesses are gathering an unprecedented amount of data to gain deeper
insights into customer behavior and markets with the bottom line in mind.
Popular analytical applications are: churn prediction, response modeling,
credit risk modeling, sales forecasting and anomaly detection. Several
analytical techniques have been developed to address such problems, where
the focus has typically been on algorithmic complexity, statistical
significance or detection power. However, to be successful from a business
standpoint, analytical models need to do much more, namely, add business
value, provide interpretability, enhance operational efficiency, and keep
business compliant in following correct practices.

The objective of this special issue is to publish high-quality papers that
address the added value of an analytical model from a business perspective.
The issue will focus on methods, measurement, and practices that demonstrate
business value. In addition to the usual technical evaluation criteria such
as mean squared error, cross-entropy error, R-squared, lift curves, AUC,
p-values, etc., the methods should make the connection to business value
through the top or bottom line. The resulting findings and insights should
help to further catalyze the impact of Big Data & Analytics in practical
business applications.

Topics of interest include, but are not limited to:
?         Profit driven model evaluation and implementation
?         Cost-sensitive learning for classification
?         Cost-sensitive learning for regression
?         Cost-sensitive learning for segmentation
?         Cost-sensitive forecasting
?         Uplift modeling
?         Customer Lifetime Value modeling
?         Economical aspects of analytical models: Return on Investment
(ROI), Total Cost of Ownership (TCO), etc.
?         Business value of big data technologies and models
?         Applications in marketing analytics, risk analytics, insurance
analytics, HR analytics, supply chain analytics, customer journey analytics,
text analytics, process analytics, healthcare analytics, etc.

Submitted papers must contain new, unpublished, original, and fundamental
work relating to the Big Data journal's mission statement. Purely
theoretical papers, simple surveys, incremental contributions, and/or
journalistic descriptions are not encouraged. Similarly, purely algorithmic
development without practical applications and/or solely benchmarking
exercises using test bed data sets are not part of the intended focus. All
submissions will be reviewed using rigorous scientific criteria focusing on
novelty and business impact.

Deadline for Submission: September 15,
2017<https://mc.manuscriptcentral.com/big>

Special Issue Publication date: March 2018

Big Data<http://www.liebertpub.com/big> is a highly innovative,
peer-reviewed journal, providing a unique forum for world-class research
exploring the challenges and opportunities in collecting, analyzing, and
disseminating vast amounts of data, including data science, big data
infrastructure, and pervasive computing.

Advantages of publishing in Big Data include:
?         Fast and user-friendly electronic submission
?         Rapid, high-quality peer review
?         Maximum exposure: accessible in 170 countries worldwide
?         Open Access options available



BIO
Professor Bart Baesens is a professor at KU Leuven (Belgium), and a lecturer
at the University of Southampton (United Kingdom). He has done extensive
research on big data & analytics, customer relationship management, web
analytics, fraud detection, and credit risk management. His findings have
been published in leading international journals including Machine Learning,
Management Science, IEEE Transactions on Neural Networks, IEEE Transactions
on Knowledge and Data Engineering, IEEE Transactions on Evolutionary
Computation, and the Journal of Machine Learning Research. He has authored
several books including Credit Risk Management: Basic
Concepts<http://goo.gl/T6FNOn>, Analytics in a Big Data
World<https://www.amazon.com/Analytics-Big-Data-World-Applications/dp/111889
2704/ref=sr_1_1?ie=UTF8&qid=1414561373&sr=8-1&keywords=baesens>, and Fraud
Analytics using Descriptive, Predictive and Social Network
Techniques<http://www.amazon.com/Analytics-Descriptive-Predictive-Network-Te
chniques/dp/1119133122/ref=sr_1_3?ie=UTF8&qid=1430713931&sr=8-3&keywords=Bae
sens>. He teaches E-learning courses on Advanced Analytics in a Big Data
World<https://support.sas.com/edu/schedules.html?id=2169&ctry=US> and Credit
Risk Modeling<https://support.sas.com/edu/schedules.html?id=2455&ctry=US>.
His research is summarized here<http://www.dataminingapps.com/>. He also
regularly tutors, advises and provides consulting support to international
firms with respect to their big data, analytics, and credit risk management
strategy.

Wouter Verbeke is assistant professor and head of the Data Analytics Lab at
Vrije Universiteit Brussel (Belgium). His research is situated in the field
of predictive analytics and network analytics with a focus on value centric
evaluation and learning. His work is driven by real-life business problems
that require a data driven solution including applications in marketing,
finance, fraud and cybersecurity, mobility and human resources. Wouter
teaches several courses on information systems and advanced modeling for
decision making to business students, and he regularly tutors workshops on
fraud analytics, credit risk modeling and customer analytics to business
professionals. His work has been published in international scientific
journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE
Transactions on Software Engineering, European Journal of Operational
Research, Journal of Forecasting, and Decision Support Systems. In 2014, he
won the EURO award for best article published in the European Journal of
Operational Research in the category Innovative Applications of O.R. He is
author of the book Fraud Analytics using Descriptive, Predictive and Social
Network
Techniques<http://www.amazon.com/Analytics-Descriptive-Predictive-Network-Te
chniques/dp/1119133122/ref=sr_1_3?ie=UTF8&qid=1430713931&sr=8-3&keywords=Bae
sens>. His research and current projects are summarized
here<https://www.data-lab.be/>.

Dr. Cristi?n Bravo is Lecturer (assistant professor) in Business Analytics
at The University of Southampton. Previously he served as Instructor
Professor at University of Talca, Chile; Research Fellow at KU Leuven,
Belgium; Research Director at the Finance Centre, Universidad de Chile, and
Head of Business Intelligence at one of the largest insurance companies in
Chile. His research focuses on the development and application of
predictive, descriptive and prospective analytics to the problem of credit
risk in micro, small and medium enterprises; covering diverse topics and
methodologies, such as semi-supervised techniques, social networks
analytics, fraud analytics, reject inference, and multiple modelling
methodologies. His work has been published in well-known international
journals, he has edited two special issues in business analytics in reputed
scientific journals, and he regularly teaches courses in Credit Risk and
Analytics in academia and for companies worldwide.

http://www.liebertpub.com/cfp/profit-driven-analytics/30/

Sophie Mohin
Managing Editor
Mary Ann Liebert, Inc., publishers
140 Huguenot Street, 3rd Floor
New Rochelle, NY 10801
Cell: 914-373-9326
Office: 914-740-2254
smohin at liebertpub.com<mailto:smohin at liebertpub.com>




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End of AISWorld Digest, Vol 1852, Issue 1
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