[AISWorld] Pre-ICIS SIGDSA Symposium - Teaching & Prototype track

[Hamed M. Zolbanin]

The deadline for submissions to the Teaching and Prototype Track in 2022
Pre-ICIS SIGDSA Symposium has been extended to 11:59 pm EDT, Friday, Sep
16th. We are committed to making the symposium inclusive and sustainable
and will offer it in hybrid format.

For more information visit:
https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpreicissigdsa2022.wordpress.com%2Fsubmissions%2Fteaching-and-prototype-track%2F&data=05%7C01%7Cmatta%40ohio.edu%7C33c1383f136b49cd67e108da919d6f50%7Cf3308007477c4a70888934611817c55a%7C0%7C0%7C637982402616685905%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Ecgk0nkL22VyGABKe82tdFEdsmq62EIgchqyh6dXx4A%3D&reserved=0

The  2022 Pre-ICIS SIGDSA Symposium on Analytics for Digital Frontiers will
be held on December 10-11, 2022 in Copenhagen, Denmark. Aligned with the
Symposium theme of Analytics for Digital Frontiers, we seek submissions
focused on teaching business intelligence, big data analytics, cognitive
analytics, social media analytics, machine learning, IoT analytics, data
science, visualization, or other emerging analytic technologies.

The symposium theme is "Analytics for Digital Frontiers" and this year’s
program will focus on the role of data analytics in organizations’
digitization and transformation journey. We welcome your participation and
attendance at this exciting symposium.

The teaching and prototype track will accept papers of two types: (a)
Teaching papers related to teaching cases, tutorials, curriculum
innovations, pedagogical studies, or infrastructure for teaching analytics.
Submissions must not exceed ten (10) single-spaced pages (all-inclusive).
(b) Prototype subtract will welcome proposal submissions upto five to seven
(5-7) single-spaced pages or design research idea papers with extended
abstract upto two to three (2-3) single-spaced pages. See more details
below.

Authors of accepted papers will have the option of publishing: (a) the
complete manuscript OR (b) an extended abstract (single-spaced 2-3 pages)
as part of the symposium proceedings on AIS eLibrary. If authors choose to
publish only the extended abstract, authors will retain the copyright of
the original manuscript submitted for review and feedback. Please see the
details below.

Please make note of the following important dates.
- Sep 16, 2022 (Fri): Manuscript submission deadline (11:59 pm EDT)
- Oct 18, 2022 (Tue): Acceptance decisions communicated to authors (all
tracks and workshop)
- Nov 1, 2022 (Tue): Early registration deadline; at least one author must
be registered for the Symposium
- Nov 8, 2022 (Tue): Camera-ready submissions due
- Nov 18, 2022 (Fri): Regular registration fee deadline
- Nov 19, 2022 (Sat) through the Symposium: Onsite registration fee
- Dec 10-11, 2022 (Sat/Sun): 2022 Pre-ICIS SIGDSA Symposium-

Submissions should address the acquisition, application, and development of
the knowledge and skills required to use business analytics and data
science in industry or topics related to the creation and maintenance of
environments that support this education. We also seek prototype
demonstrations or design research idea papers showcasing/discussing
innovative analytics methodologies and applications.

TEACHING SUB-TRACK

Contributions can be of varied types, including: teaching cases, tutorials,
curriculum innovations, pedagogical studies, or infrastructure for teaching
analytics, addressing topics including but not limited to:

- Business Analytics (BA) curriculum development with assessment methods
- Bodies of Knowledge (BOK) for Business Intelligence, Analytics, Machine
Learning, Data Science
- Developing an interdisciplinary focus that cuts across traditional
functional areas
- Differentiating business analytics curricula for Undergraduate, MBA,
Master of Science, and Executive - Education, and tailoring curricula to
generalists and specialists
- Integration of IT and analytics skills
- New BA programs, courses, and centers
- Pedagogical innovations in business analytics
- Innovative pedagogical approaches to teaching ethics in business
analytics design, development, and implementation
- Innovations in the delivery of analytics courses (online, hybrid, student
interaction, etc.)‪
- Challenges and solutions related to the construction and maintenance of
classrooms and labs in support of business - analytics education
- Organizational case studies (with teaching notes) that provide rich
stories of individual organizations’ management - and analytics initiatives
and address a variety of issues in management sponsorship, strategic
priorities, adoption - and implementation of analytics, technical
challenges, collaboration, communication, and actionable results in -
business analytics
- Tutorial exercises (with teaching notes) and simulations that provide a
business scenario, data sets, and - step-by-step introduction to the latest
business analytics tools, covering topics such as integration of data
management and analytics, integration of analytics and visualization tools,
analytics certification and digital badges programs, open source vs.
proprietary platforms, and the use of platform and/or software to enhance
pedagogy for data mining, machine learning, text mining, network -
analytics, cognitive analytics using big data and/or novel applications
- Data sets that can be used by other faculty members to augment their
pedagogy
- Hands-on software experiences and software tutorials

Submissions for the teaching sub-track must not exceed ten (10)
single-spaced pages and must conform to the paper submission template. The
page limit covers everything in the submission, including title, text,
tables, figures, appendices, and references. Submissions that exceed this
limit will be automatically rejected. Based on the type of submission
(e.g., teaching case, tutorial, etc.), the correct submission type should
be mentioned in the submission.

PROTOTYPE SUB-TRACK

Submissions can be of one of the types listed below:

(a) Prototype Demonstrations Proposals
These are showcasing innovative methodological developments or applications
of artificial intelligence, machine learning, deep learning, reinforcement
learning, text mining, or other data analytics/decision support techniques
are encouraged. Prototypes should highlight aspects such as novelty,
architecture, functioning, and ongoing/future work. This high-visibility
category is different from the research paper presentation category and
provides an opportunity to display a working artifact to an audience in an
interactive manner. Prototype demonstrations will involve a poster display
(printed or electronic) and a live demonstration of a prototype to the
attendees.
The proposal submission must be five to seven (5-7) single-spaced pages and
must conform to the paper submission template. The page limit covers
everything in the submission, including title, text, tables, figures,
appendices, and references. In addition to the Title, Abstract, and
Keywords, a prototype proposal should contain only one or two sections
describing the prototype or core research idea to be showcased,
highlighting the key features and novelty. The submission type should be
mentioned in the submission as Prototype Demonstration.

(b) Design Research Idea Paper
Idea papers are supposed to identify innovative future lines of design
science-oriented research related to artificial intelligence, machine
learning, deep learning, reinforcement learning, text mining, or other data
analytics/decision support topics. The idea papers should include a
convincing motivation, a brief overview of the relevant state of the art,
the core idea, possible contributions to research and practice, and an
outline of a possible course of the research project.
The idea paper must be two to three (2-3) single-spaced pages extended
abstract and must conform to the paper submission template. The page limit
covers everything in the submission, including title, text, tables,
figures, and references. The submission type should be mentioned in the
submission as Design Research Idea Paper.

Teaching and Prototype Track Co-Chairs:
Amir Zadeh, amir.zadeh at wright.edu, Wright State University, USA
Hamed Zolbanin, hmajidizolbanin1 at udayton.edu, University of Dayton, USA

Program Chairs
Vic Matta, matta at ohio.edu, Ohio University, USA
Ales Popovic, ales.popovic at neoma-bs.fr,  NEOMA Business School, France

Conference Chairs
Amit Deokar, amit_deokar at uml.edu, Manning School of Business, University of
Massachusetts Lowell, USA
Ciara Heavin, c.heavin at ucc.ie, University College Cork, Ireland