cadscom 2024

The Fifth Colloquium on Analytics, Data Science, and Computing 

October 5, 2024 | Edina, MN
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CADSCOM 2024 Updates

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, October 5, 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 is an approved chapter conference through the Association for Computing Machinery (ACM). 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.

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.

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. Submissions can be submitted here. If you have any questions about this activity, please get in touch with the activity Lead, Dr. Rushit Dave at rushit.dave@mnsu.edu.

Data Challenge(Data Derby): The Data Derby competition, hosted by the Minnesota State IT Center of Excellence in partnership with Twin Cities ACM Chapter, provides students with valuable hands-on learning experiences, helps organizations solve real-world problems, and contributes to advancing data science techniques. Join as a team to compete to solve specific data-related problems using data analytic techniques and analysis. To learn more, visit the Data Derby webpage. If you have questions about the student project showcase, don’t hesitate to contact the activity Lead, Boern Vang, at boern.vang@metrostate.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

DateTime  (Central)Process
     April  11, 202411:59 PMProceedings Full Paper Submission Opens (Rolling Review begins)
July 11, 202411:59 PMProceedings Full Paper Submission Closes
   July 1611:59 PMRegistration opens
Rolling basis Initial Paper Reviews Completed (Accept/Revisions Sought/Reject)
September 10, 202411:59 PMRevised Full Paper Submissions (Due Camera Ready)
October  05, 20248:30 – 5 PMThe Conference
October  25, 202411:59 PMProceedings of the Colloquium 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. 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. Simon Jin, Metropolitan State University, USA.

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.

Venue

CADSCOM 2024 will be held in-person at Minnesota State University Mankato, Edina (7700 France Ave S # 500, Edina, MN 55435, USA).

Registration

Registration fee: $50 for educators and professionals presenting. Registration is free for students. Registration will open on July 16, 2024.

Contact

All submission questions should be emailed to Dr. Ismail Bile Hassan, program chair, at Ismail.bilehassan@metrostate.edu.

 

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