CADSCOM2024: The 5th Colloquium on Analytics, Data Science and Computing Minnesota State University - Edina Location Edina, MN, United States, November 9, 2024 |
| Conference website | https://www.twincitiesacm.org/cadscom2024/ |
| Submission link | https://easychair.org/conferences/?conf=cadscom2024 |
| Submission deadline | October 20, 2024 |
| Revised Paper Submissions (Due Camera Ready) | November 4, 2024 |
The Twin Cities ACM Chapter invites students, faculty, and professionals to CADSCOM 2024! The 5th Colloquium on Analytics, Data Science, and Computing (CADSCOM) will be held in person on Saturday, November 09, 2024. CADSCOM provides an excellent opportunity for faculty, students, and professionals to share their original data science, analytics, and computing research. Submissions are peer-reviewed and double-blindly reviewed. The colloquium will feature prominent keynotes, industry-faculty panels, and peer-reviewed papers.
CADSCOM 2024 has been approved by the Association for Computing Machinery (ACM) as a chapter conference. We are proud to partner with the Minnesota State IT Center of Excellence, Metropolitan State University, and Minnesota State University Mankato to host it. It will be held in person in Edina, a suburb of Minneapolis, Minnesota.
Full paper submissions are limited to 6 pages, including all content and references. They must be in PDF format and formatted according to the format guidelines. All submissions need to be original work that has not been published elsewhere. The papers should be submitted through EasyChair.
Registration
Registration fee: $50 for educators and professionals presenting. Registration is free for students. Registration will open on July 16, 2024.
Registration link: Register CADSCOM2024!
Submission Guidelines
The Call for Papers is available on CADSCOM’s EasyChair page. All papers must be original and not simultaneously submitted to another journal or conference. The submission process is as follows:
Submission Types
Full paper submission: The full papers should be at most six pages, single-spaced, and include all content and references. All submissions must be in PDF format and formatted according to the format guidelines.
Research in Progress Submission: The research-in-progress papers are either abstracts or a summary of the initial results of an in-progress study. The research-in-progress submission must not exceed single-spaced 2 pages including all contents and references.
Other CADSCOM2024 Activities
Student Project Showcase: The project showcase is an additional activity of CADSCOM2024 besides the peer-reviewed research papers. The showcase will allow students to showcase their projects and connect with industry professionals. The submission details will be posted on the Twin Cities ACM Chapter’s website. If you have any questions about this activity, please contact the activity Lead, Dr. Rushit Dave, at rushit.dave@mnsu.edu.
Submission Directions
Submit the paper to EasyChair. All submissions must be in PDF format and formatted according to the format guidelines. DO NOT INCLUDE YOUR NAME OR ANY IDENTIFYING INFORMATION IN THE DOCUMENT to facilitate a double-blind review. We will track submissions using a submission record number. You can download the submission template from here: CADSCOM_Submission_Template.
Once your paper is accepted, you will be added to the CADSCOM 2024 program. All submissions must be original and not published elsewhere. For each accepted paper, at least one author must register for and attend the Colloquium to present the paper.
Important Dates
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Date (MM/DD/YY) |
Time (AM/PM) Central-Time |
Process |
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April 11, 2024 |
11:59 PM |
Proceedings Full Paper Submission Opens (Rolling Review begins) |
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| October 20, 2024 | 11:59 PM | Proceedings Paper Submission Closes(Deadline Extended) |
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July 16 |
11:59 PM |
Registration opens |
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Rolling basis |
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Initial Paper Reviews Completed (Accept/Revisions Sought/Reject) |
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| November 04, 2024 | 11:59 PM | Revised Paper Submissions (Due Camera Ready)- Deadline Extended |
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November 09, 2024 |
8:30 – 5 PM |
The Conference |
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November 16, 2024 |
11:59 PM |
Abstracts of the papers published |
Important Policies
- For each accepted paper, at least one author must register for and attend the Colloquium to present the paper. CADSCOM 2024 will be held in person.
- The author(s) must take full responsibility for the entire content of their paper.
- All submissions will go through a blind peer review process.
- The submitted papers will be evaluated based on their clarity, quality, potential impact, and reproducibility.
- The author(s) must follow the formatting and style guidelines.
- The author(s) must not include identifying information (such as names and affiliations) anywhere in their submission.
- The author(s) must check their submission for potential plagiarism. Submissions that violate the ethical conduct of research will be rejected.
- All submissions need to be original works not published anywhere else.
Topics
Organizations seek to harness data to improve decision-making, foment innovation, and discover insights. CADSCOM aims to promote and disseminate novel and cutting-edge ideas that can enhance understanding of concepts, challenges, opportunities, and technology related to real-world data projects. Topics of interest include, but are not limited to:
- Data Infrastructure and Computing: cloud and high-performance computing, big data systems and programming models, software techniques and architecture for grid, parallel, graph, and in-memory computing, containerization, and data stream processing.
- Data Management: data modeling, relational and NoSQL databases, distributed databases, best practices in data collection, ingestion, extraction, integration, and cleaning, data governance frameworks, and data strategy.
- Data Analytics: concepts and techniques of data visualization, statistical theories and applications, predictive models and applications, geospatial analytics.
- Artificial Intelligence and Machine Learning: supervised, unsupervised, semi-supervised, and reinforcement learning models, transfer learning, text and social media analytics, natural language processing, deep learning algorithms and architectures, image and speech recognition, ML model deployment, ML as a Service.
- Data Ethics and Security: privacy and ethical issues and solutions, best practices in data security, data encryption algorithms and techniques, social impact and implications for big data analytics.
- Big Data Applications: novel big data applications in sciences, engineering, humanities, social sciences, healthcare, retail, finance, education, manufacturing, transportation, and other domains.
- Emerging Technologies: blockchain, Internet of Things (IoT), quantum computing, autonomous vehicles, etc.
- Business Management and Strategy-making: Applications of advanced business analytics in management and governance.
Program Committee
- Dr. Ismail Bile Hassan (Program Chair and Chapter Chair), Metropolitan State University, USA.
- Dr. Queen Booker, Metropolitan State University, USA.
- Dr. Simon Jin, Metro State University, USA.
- Dr. Rajeev Bukralia, Minnesota State University Mankato, USA.
- Dr. Michael Hart, Minnesota State University Mankato, USA.
- Dr. David Jacobson, Metropolitan State University, USA.
- Dr. Junghoon Song, Texas Wesleyan University, USA.
- Dr. Halbana Tarmizi, Bemidji State University, USA.
- Dr. Donghyup (DH) Woo, University of Pittsburgh at Greensburg, PA, USA
- Dr. Rushit Dave, Minnesota State University Mankato, USA.
- Dr. Lauren Singelmann, Minnesota State University Mankato, USA.
- Dr. Shimin Li, Winona State University, USA.
- Dr. Janice Aanenson, Minnesota State IT Center of Excellence, USA
- Dr. Mansi Bhavsar, Minnesota State University Mankato, USA.
- Boern Vang, Metropolitan State University, USA.
- Dr. Jinhang Jiang, McKesson Technology, McKesson Corporation, USA.
- Dr. Ibrahim El-Shekeil, Metro State University, USA.
- Dr. Rafa Absar, Metropolitan State University, USA.
- Dr. Muhidin A. Mohamed, Aston University, UK.
Organizing Committee
- Dr. Ismail Bile Hassan (Program Chair and Chapter Chair), Metropolitan State University, USA.
- Dr. Rushit Dave, Minnesota State University Mankato, USA.
- Dr. Lauren Singelmann, Minnesota State University Mankato, USA.
- Dr. Rafa Absar, Metropolitan State University, USA.
- Dr. Rajeev Bukralia, Minnesota State University Mankato, USA.
- Dr. Mansi Bhavsar, Minnesota State University Mankato, USA.
- Boern Vang, Metropolitan State University, USA.
Publication of Proceedings
The abstract of the accepted papers will be available through the Twin Cities ACM Chapter website. The top three articles accepted for CADSCOM2024 will be eligible for fast-track review for the Journal of the Midwest Association of Information Systems (JMWAIS). The articles published in JMWAIS are also available from the AIS eLibrary.
Distinguished Keynotes
Al in Action: Trends and Technologies Transforming Business
Join industry experts as they discuss the latest Al trends and share insights on how intelligent systems are shaping business impact. Discover the tools and techniques driving Al innovation, real-world applications, and the challenges ahead in deployment, scalability, and ethical implications.
Dr. Rajeev Bukralia (Moderator)
A thought leader and influencer in artificial intelligence and data science, Dr. Rajeev Bukralia has over two decades of experience working on complex technology projects in senior leadership roles, including as a CIO. He is an award-winning professor and director of the data science program at Minnesota State University, Mankato, and the founder of DREAM, an award-winning student organization focused on AI and data science. He is also the founder of the Twin Cities ACM Chapter.
Justin Grammens
Justin Grammens is the founder and CEO of Recursive Awesome and Lab651, where our teams consult with executives to leverage Artificial Intelligence, Machine Learning, and build custom software applications to bring efficiency and automation to their business. He is also the president and co-founder of the 501(c)(3) non-profit Applied AI, the creator, producer, and host of the Applied AI Podcast, the owner and publisher of Applied AI Weekly News, and an Adjunct Professor at the University of Saint Thomas.
Dr. John Hudzina
Dr. John Hudzina is a lead research scientist at Thomson Reuters Labs, and he heads the Retrieval Augmented Generation (RAG) research team for Westlaw's AI-Assist Research product. He specializes in the practical use of generative AI and has written articles on legal reasoning over civil code articles and stereotype detection in legal opinions.
Yashodhan Dhore
Yoshodhan has over 20 years of experience in data analytics and data science to drive sales. He has led multi location teams for fortune 1000 companies.
Venue
CADSCOM 2024 will be held in-person at Minnesota State University Mankato, Edina (7700 France Ave S # 500, Edina, MN 55435, USA). However, let us know if you need an online presentation arrangement.
Contact
All submission questions should be emailed to Dr. Ismail Bile Hassan, program chair, at Ismail.bilehassan@metrostate.edu.