[AISWorld] Call for Mini-track proposals-Data Science and Analytics for Decision Support (SIGDSA)-AMCIS-2023 - Deadline October 17

[Popovič, Aleš]

Dear Colleagues,

We invite mini track proposals to the Data Science and Analytics for Decision Support (SIGDSA) track at the Americas Conference on Information Systems (AMCIS 2023), August 10-12, 2023, in Panama City, Panama.



Track description:

The unprecedented increase in the amount of data available for processing has created novel, innovative opportunities for individuals, organizations, and society. This is creating a huge impact across industries (e.g., healthcare, finance, energy, retail, and sports) when engaging in complex analytical tasks. The ability to manage big data and generate insights is also leading to significant organizational transformation. At a higher level, big data and analytics applications are driving a positive impact on society in areas such as health and well-being (e.g., in the fight against Covid19), poverty mitigation, food security, energy, and sustainability.



Organizations are allocating greater resources to enhance and develop new innovative applications of advanced analytics capabilities. As organizations transform into data and analytics-centric enterprises (e.g., health insurance companies, automobile companies), more research is needed on the technical, behavioral, and organizational aspects of this progress. On the one hand, research focused on the creation and application of new data science approaches, like deep learning and cognitive computing, which can inform different ways to enhance decision-making and improve outcomes. On the other hand, research on organizational issues in the analytics context can inform industry leaders on handling various organizational and technical opportunities along with various challenges associated with building and executing big data-driven organizations. Examples include data and process governance and ethics and integrity issues, management and leadership, and driving innovation and entrepreneurship.



The track seeks original research that promotes technical, theoretical, design science, pedagogical, and behavioral research as well as emerging applications in analytics and big data. Topics include (but are not limited to) data analytics and visualization from varied data sources (e.g., sensors or IoT data, text, multimedia, clickstreams, user-generated content) involving issues dealing with curation; management and infrastructure for (big) data; standards, semantics, privacy, security, legal and ethical issues in big data, analytics and KM (knowledge management); intelligence and scientific discovery using big data; analytics applications in various domains such as smart cities, smart grids, financial fraud detection, digital learning, healthcare, criminal justice, energy, environmental and scientific domains,  sustainability; business process management applications such as process discovery, performance analysis, process conformance and mining using analytics and KM, cost-sensitive, value-oriented, and data-driven decision analysis, and optimization. Visionary research on new and emerging topics that make innovative contributions to the field is also welcome.



Potential Mini-Tracks:

Mini-tracks considering innovative research on all aspects of data science, big data, and data analytics, ranging from theoretical foundations to novel models for data science problems in business, sports, manufacturing, and healthcare among others.

  *   Big Data for Business and Societal Transformation
  *   Geo Innovation and Entrepreneurship
  *   Computational Social Science Research through Analytics
  *   Social Media and Network Analytics
  *   Behavioral Research in Data Science and Analytics
  *   Data Analytics and Artificial Intelligence in Healthcare
  *   Big Data for Societal Transformation
  *   Big Data Analytics and Sustainability
  *   Computational Social Science Research through Analytics
  *   Data Analytics for Transforming Organizations and Platforms (DATOP)
  *   Behavioral Side of Data Analytics
  *   Social Media and Network Analytics
  *   Sports Analytics
  *   Artificial Intelligence in Small and Medium Enterprises
  *   Geospatial at the Forefront: Emerging Trends and Innovation in Spatial Big Data, Social Media Analytics, IoT, and GeoAI



Submitting the proposal:

Minitrack chairs will be responsible for a) promoting their mini track to generate manuscript submissions to AMCIS 2023; b) soliciting and assigning reviewers for manuscripts submitted to the mini track; and c) making recommendations to track chairs about each manuscript submitted to the minitrack.

To submit a minitrack proposal,**you will need to include a) minitrack chairs (names, emails, affiliation); b) minitrack title; c) short description of minitrack for the AMCIS 2023 website (up to 150 words); d) call for papers for your minitrack. To submit a minitrack proposal, visit: https://new.precisionconference.com/

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Then select the track.

Important Dates:
October 17, 2022: Minitrack submissions are due
October 31, 2022: Minitrack decisions completed
January 6, 2023: Manuscript submissions for AMCIS 2023 begin



Track Co-Chairs:

Shwadhin Sharma, California State University Monterey Bay, ssharma at csumb.edu<mailto:ssharma at csumb.edu>

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

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