[AISWorld] Final CFP - Research Track - 2023 Pre-ICIS SIGDSA Symposium, Dec 9-10, 2023 in Hyderabad, India

[Vijayasarathy,Leo]

Please note the deadline for manuscript submission is 11:59 PM EDT, Friday, September 15. We are committed to making the symposium inclusive and sustainable and will offer it in hybrid format.



The 2023 Pre-ICIS SIGDSA Symposium on Analytics for Addressing Global and Grand Challenges will be held on December 9-10, 2023, in Hyderabad, India. The symposium is seeking forward-thinking research in the areas of data analytics, business intelligence, AI, and ML, with a special focus on harnessing analytics and data science techniques to develop and deploy innovative applications, products and services that address individual, organizational, societal, and global problems and opportunities. Top submissions will be fast-tracked to one of several journals partnering with SIGDSA.



The research track will accept of two types of manuscripts:

(a) Completed research papers must not exceed sixteen (16) single-spaced pages (all-inclusive).

(b) Research-in-progress papers must not exceed eight (8) single-spaced pages (all inclusive).



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 details below.



For more information on dates, submission template, and other details, please visit: https://preicis2023.sigdsa.org/Research.html



Please make note of the following important dates.



- July 7, 2023 (Fri): Manuscript submissions open

- Sep 15, 2023 (Fri): Manuscript submission deadline (11:59 pm EDT)

- Oct 17, 2023 (Tue): Acceptance decisions communicated to authors (all tracks and workshop)

- Nov 7, 2023 (Tue): Regular registration deadline; at least one author must be registered for the Symposium

- Nov 7, 2022 (Tue): Camera-ready submissions due

- Dec 9-10, 2023 (Sat/Sun): 2023 Pre-ICIS SIGDSA Symposium



** ADDITIONAL DETAILS **



This research track aims to promote computational, theoretical (mathematical or social sciences driven) as well as empirical studies in the areas of data analytics, big intelligence, AL , ML, and their applications in different domains. We seek comprehensive Completed Research or early-stage Research-in-Progress papers on topics including, but not limited to:



- Data analytics in various business sectors (e.g., financial services, manufacturing, retail, pharmaceutical, - healthcare, government, agribusiness, hospitality and entertainment, supply chain, etc.)

- Big data and organizational transformation

- Artificial Intelligence, machine learning, deep learning, reinforcement learning, and active learning methodologies - and applications for decision support

- Social media and marketing analytics

- Network and collaborative analytics for decision support

- Analytics connecting data and processes (e.g., process mining)

- Data analytics for sustainability (e.g., data analytics and operational sustainability practices for sustainable - business management, big data and social media analytics for business-to-business sustainability, big data and - predictive analytics capability for supply chain sustainability, orchestrating data analytics capability for - sustainability, etc.)

- Analytics using IoT devices such as wearables, RFID, etc.

- Data mining with blockchains and cryptocurrencies

- Data analytics and business intelligence theory and applications

- Innovative data-driven decision support tools and techniques

- Data analytics in behavioral research

- Predictive, descriptive, and prescriptive approaches to analytics

- Natural language processing and generation

- LLMs, generative AI, chatbots, virtual agents

- Data analytics technologies and applications

- Risks and benefits of interconnected decision-making (e.g., privacy and ethical considerations in the use of data and analytics, dark side of analytics, etc.)

- Algorithmic bias and approaches to mitigate such bias

- Model explainability, interpretability, and reproducibility

- Model sharing and deployment issues and the role of MLOps

- Data and analytics for diverse societal applications (e.g., smart cities, smart and connected communities, smart - health, smart energy management)

- Data and analytics in shaping public policy

- Methodological issues of developing systems based on connected big data



COMPLETED RESEARCH

Completed research papers are full-length papers documenting the results of finished research projects. For empirical work, completed research papers should have completed analyses and documentation of results. Completed research papers must not exceed sixteen (16) single-spaced pages (all-inclusive) 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.



RESEARCH-IN-PROGRESS

Research-in-progress papers typically describe work that is yet to be completed but is promising. Short papers could take various forms. For example, they can be theoretical (presenting promising frameworks), empirical (with some preliminary results), or present a design of novel and useful concepts, artefacts (testing need not be done). Short papers should include a paragraph describing what work remains to complete the paper and the authors' plan for the next steps. Please note that the progress described is expected to be substantive in nature. Short papers must not exceed eight (8) 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. If accepted, research-in-progress papers will be presented as part of a slam presentation session.



Research Track Co-Chairs:

Brian O'Flaherty, b.oflaherty at ucc.ie<mailto:b.oflaherty at ucc.ie>, University College Cork, Ireland

Leo Vijayasarathy, leo.vijayasarathy at colostate.edu<mailto:leo.vijayasarathy at colostate.edu>, Colorado State University, USA



Program Co-Chairs

Amit Deokar, amit_deokar at uml.edu<mailto:amit_deokar at uml.edu>, University of Massachusetts Lowell, USA

Biljana Mileva Boshkoska, biljana.mileva at ijs.si<mailto:biljana.mileva at ijs.si>, Jožef Stefan Institute, Slovenia

Arunabha Mukhopadhyay arunabha at iiml.ac.in<mailto:arunabha at iiml.ac.in>, IIM Lucknow, India



Conference Co-Chairs

Vic Matta, matta at ohio.edu<mailto:matta at ohio.edu>, Ohio University, USA

Ales Popovic, ales.popovic at neoma-bs.fr<mailto:ales.popovic at neoma-bs.fr>, NEOMA Business School, France