The Twin Cities ACM Chapter invites students, faculty, and professionals to CADSCOM 2025! The 6^th Colloquium on Analytics, Data Science, and Computing (CADSCOM) will be held in person on Friday, November 07, 2025. 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 2025 has been approved by the Association for Computing Machinery (ACM) as a chapter conference. 

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 in September.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• 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.

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 2025 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.

Other CADSCOM2025 Activities

• Student Project Showcase: 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. Lauren Singelmann at lauren.singelmann@mnsu.edu.

Important Dates

Important Policies

• For each accepted paper, at least one author must register for and attend the Colloquium to present the paper. CADSCOM 2025 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.

List of 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.

Committees

Program Committee

• Dr.  Mansi Bhavsar (Program Chair),  Minnesota State University Mankato, USA.
• Dr. Ismail Bile Hassan (Chapter Chair), Metropolitan State University, USA. 
• Dr.  Lauren Singelmann, Minnesota State University Mankato, USA.
• Dr. Rajeev Bukralia, Minnesota State University Mankato, USA.
• Dr. Queen Booker, Metropolitan State Univeristy, USA.
• Dr. Thanaa Ghanem, Metropolitan State Univeristy, USA.
• Dr. Halbana Tarmizi, Bemidji State Univeristy, USA.
• Dr. Iresha Premarathne, Metropolitan State Univeristy, USA.
• Dr. Yue Zhang, Metropolitan State University, USA.
• Dr. Ibrahim El-Shekeil, Metropolitan State University, USA.
• Dr. Junghoon Song, Texas Wesleyan University, USA.
• Dr. Donghyup Woo, University of Pittsburgh at Greensburg, USA.
• Dr. Shimin Li, Winona State University, USA.
• Jinhang Jiang, McKesson Technology, USA.
• Dr. Nana Kankam Gyimah, South Carolina University, USA.

Organizing committee

• Dr.  Mansi Bhavsar (Program Chair),  Minnesota State University Mankato, USA.
• Dr. Ismail Bile Hassan (Chapter Chair), Metropolitan State University, USA. 
• Dr.  Lauren Singelmann, Minnesota State University Mankato, USA.
• Dr. Rajeev Bukralia, Minnesota State University Mankato, USA.

Publication

The abstract of the accepted papers will be available through the Twin Cities ACM Chapter website.  The top three articles accepted for CADSCOM2025 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.

Venue

The conference will be held in the Student Union at Minnesota State University, Mankato at 620 West, S Rd, Mankato, MN 56001.

Contact

All submission questions should be emailed to Dr. Mansi Bhavsar, program chair, at mansi.bhavsar@mnsu.edu.