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Hybrid Event

5th - 6th August 2026 | Aberdeen, Scotland

International Conference on Predictive Analytics and Statistical Modeling (ICPASM - 26)

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICPASM) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Statistics, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Predictive analytics techniques and applications
02
Machine learning in predictive modeling
03
Statistical methods for forecasting
04
Applications of predictive analytics in business
05
Predictive modeling in healthcare
06
Ethics in predictive analytics research
07
Predictive analytics in social sciences
08
Time series forecasting methods
09
Predictive analytics for customer behavior
10
Statistical challenges in predictive modeling
11
Predictive analytics in finance and investment
12
Big data and predictive analytics integration
13
Applications of predictive modeling in marketing
14
Predictive analytics for risk assessment
15
Recent advancements in predictive analytics
16
Predictive modeling in sports analytics
17
Data visualization in predictive analytics
18
Predictive analytics for supply chain management
19
Future trends in predictive modeling
20
Statistical software for predictive analytics

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.