2023 Pre-ICIS SIGDSA Symposium

Hyderabad, India

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Welcome !!!


The 2023 Pre-ICIS SIGDSA Symposium will be held on December 9-10 in conjunction with the International Conference on Information Systems (ICIS 2023) in Hyderabad, India. The theme of ICIS this year is "Rising Like a Phoenix: Emerging From The Pandemic And Reshaping Human Endeavors With Digital Technologies". For visa, venue, and hotel related information, please see the "Venue, Visa, and Hotel" subtab under "Others" tab.

Symposium Theme is "Addressing Global and Grand Challenges with Analytics"

This year's program will address research applications and issues as well as pedagogical practices pertinent to harnessing analytics and data science techniques for enabling innovative applications, products, and services that address individual, organizational and societal challenges. Particular focus will be on aligned with this year's theme of using analytics for solving global and grand problems. Good examples of applications include, but not restricted to, those identified by United Nations. E.g., poverty, hunger, clean energy, sustainability, healthcare, pandemic, societal inequalities, etc. Other traditional areas are equally encouraged as well. This symposium will bring together academic researchers and industry practitioners who share a common passion for the advancement of analytics and data science field in supporting decision-making and knowledge management to achieve societal and organizational benefits.

We welcome your participation and attendance at this exciting symposium. The Research Track, Teaching Track, Prototypes Track, and the Industry Track promises to bring together complementary aspects of research, pedagogy, and practice in the form of presentations, panels, research prototypes, teaching cases, tutorials, and more. The Pre-ICIS SIGDSA Symposium will continue to build on the momentum of prior SIGDSA events by providing a forum for facilitating constructive discussions for researchers, instructors, and practitioners who are engaged in exploring topics and issues in business analytics and data science at large. More information about the participation and submission call, and the Important Dates for 2023 Pre-ICIS SIGDSA symposium will be posted on this website.

For the past eight consecutive years, SIGDSA has received outstanding SIG award from AIS for the wide variety of activities, events, and projects made available to SIG members.Find out more about SIGDSA here. Join SIGDSA by clicking this link here.

Note: The sumbission deadline for the symposium has been extended to September 22nd, 2023 (11:59 pm, EDT). More information on important dates can be found here .

Committee & Advisory Board


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

Program Chairs
Amit Deokar, UMass Lowell
Biljana Mileva Boshkoska, Jo탑ef Stefan Institute
Arunabha Mukhopadhyay, IIM Lucknow

Local Arrangement Chair
Krishna Reddy

Research Track Chairs
Leo Vijayasarathy, Colorado State University
Brian O'Flaherty, UCC

Teaching and Prototype Track Chairs
Sagnika Sen, Penn State Great Valley
Deepti Agrawal, Appalachian State University

Panel and Workshop Chairs
Ramesh Sharda, Oklahoma State University
Ashish Gupta, Auburn University
Prabin Panigrahi, IIM Indore

Web and Technology Chair
Shwadhin Sharma, ssharma@csumb.edu, California State University Monterey Bay, USA

Symposium Advisor
Lakshmi Iyer, iyerls@appstate.edu, Appalachian State University, USA

Contact Us

We welcome suggestions, comments, and feedback about the symposium. Please reach out to us by emailing the Conference Chairs Vic Matta and/or Ales Popovic

Sponsors

A big thank you to the sponsors of this symposium!

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Contact Us

We welcome suggestions, comments, and feedback about the symposium. Please reach out to us by emailing the Conference Chairs Vic Matta and/or Ales Popovic

Research Track

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Teaching and Prototype Track

Call for Papers

The 2023 Pre-ICIS SIGDSA Symposium on Analytics for Addressing Global and Grand Challenges is seeking submissions related to teaching decision support and data analytics concepts, tools, and technologies.

As organizations strive to foster innovation through the digitization of processes, the digitization efforts, and the ability to harness insights and value from the tremendous data being generated, present new challenges and opportunities. The explosive growth in big data, fueled by the ubiquity of the Internet of Things (IoT), social media, and technology-facilitated human networks, accentuates these opportunities and challenges. The use of generative AI tools like ChatGPT brings new pedagogical challenges as well. Educators need to respond to industry needs dynamically, to regularly develop/update curricula and teaching practices to prepare the next-generation thinkers and workforce by empowering them with skills and concepts related to decision support and analytics.

The teaching track seeks submissions focused on teaching topics in business intelligence, big data analytics, cognitive analytics, social media analytics, AI/ML, IoT analytics, data science, data visualization/story-telling, or other emerging analytic technologies. Submissions should address education, pedagogy, curriculum design & implementation, outcomes assessment, distance education challenges, capstone learning projects, technology selection & impact, as it relates to one or more aforementioned topics.

We also seek prototype demonstrations or design research idea papers showcasing/discussing innovative analytics methodologies and applications.

Publication Opportunity

Selected high-quality papers from the Teaching sub-track (more information below) will have an opportunity to be fast-tracked for publication in the Journal of Information Systems Education (JISE). JISE accepts three categories of papers - Teaching Tips, Teaching Cases, and teaching-related research papers.

Submission Categories: Teaching and Prototype Track

Teaching sub-track

Contributions can be varied including teaching cases, tutorials, curriculum innovations, pedagogical studies, or infrastructure for teaching analytics. Topics may include but are not limited to:
- Innovative Business Analytics (BA) programs, curriculum, and assessment methods
- ‪Bodies of Knowledge (BOK) for Business Intelligence, Analytics, Machine Learning, and Data Science‬‬‬‬‬‬
- ‪Developing an interdisciplinary focus on teaching analytics courses, especially the ones addressing the UN’s SDG goals. Teaching cases/materials covering analytics to address issues such as poverty, hunger, clean energy, sustainability, healthcare, pandemic, societal inequalities, etc.‬‬
‬‬‬‬ - ‪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
‬‬ - 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 (preferably with teaching notes) that provide rich stories of their 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 and simulations that provide a business scenario, data sets, and step-by-step introduction to the latest business analytics tools
- Data sets that other faculty members can use to augment their pedagogy

Submissions for the teaching sub-track must be at most ten (10) single-spaced pages and must conform to the paper submission template. The page limit covers everything in the submission, including the 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

This sub-track showcases innovative methodological developments or applications of artificial intelligence, machine learning, deep learning, reinforcement learning, text mining, or other data analytics/decision support techniques. Prototypes should highlight 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 prototype demonstration to the attendees.

The proposal submission must be five to seven (5-7) single-spaced pages and conform to the paper submission template. The page limit covers everything in the submission, including the 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.

Important Dates, Submission Guidelines, Publication Opportunities, and Awards

- Important relevant dates [add link].
- Submission guidelines, template, and submission instructions [add link].
- Publication opportunities and awards [add link].

Teaching and Prototype Track Co-Chairs

For questions regarding the submissions to the teaching and prototype track, please contact:
- Sagnika Sen, sagnika.sen@psu.edu, Pennsylvania State University, USA
- Deepti Agrawal, agrawald@appstate.edu, Appalachian State University, USA

We recommend including the ‘Pre-ICIS SIGDSA 2023 Teaching & Prototype Track Question’ as the email subject line.

Industry & Prototype Track

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Doctoral Student Workshop Track

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Program Schedule

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Keynotes Information

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Panel Details

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How to Register


To register for ICIS, please visit the ICIS registration webpage .

Submission & Publication Guideline

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Venue, Visa, and Hotel Information

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Awards and Publication Opportunities

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Important Dates

Thank you for your interest and we look forward to your participation in the symposium!

Please make note of the following important dates.
- Jul 1, 2023 (Fri): Manuscript submissions open
- Sep 1, 2023 (Fri): Manuscript submission deadline (11:59 pm EDT)
- Oct 17, 2023 (Tue): Acceptance decisions communicated to authors on a rolling basis, but no later than Oct 17, 2023
- Nov 7, 2023 (Tue): Regular registration deadline; at least one author must be registered for the Symposium
- Nov 7, 2023 (Tue): Camera-ready submissions due
- Dec 9-10, 2023 (Sat/Sun): 2023 Pre-ICIS SIGDSA Symposium