Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to:

- PREDICTION SOLUTIONS 2026, International Conference on Prediction Solutions for Technical and Societal Systems

PREDICTION SOLUTIONS 2026 is scheduled to be October 25 - 29, 2026 in Lisbon, Portugal under the SocSys 2026 umbrella.

The submission deadline is July 6, 2026.

Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: https://www.iariajournals.org

All events will be held in a hybrid mode: on site, online, prerecorded videos, voiced presentation slides, pdf slides.

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============== PREDICTION SOLUTIONS 2026 | Call for Papers ===============

CALL FOR PAPERS, TUTORIALS, PANELS


PREDICTION SOLUTIONS 2026, International Conference on Prediction Solutions for Technical and Societal Systems

General page: https://www.iaria.org/conferences2026/PREDICTIONSOLUTIONS26.html

Submission page: https://www.iaria.org/conferences2026/SubmitPREDICTIONSOLUTIONS26.html


Event schedule: October 25 - 29, 2026


Contributions:

- regular papers [in the proceedings, digital library]

- short papers (work in progress) [in the proceedings, digital library]

- ideas: two pages [in the proceedings, digital library]

- extended abstracts: two pages [in the proceedings, digital library]

- posters: two pages [in the proceedings, digital library]

- posters: slide only [slide-deck posted at www.iaria.org]

- presentations: slide only [slide-deck posted at www.iaria.org]

- demos: two pages [posted at www.iaria.org]


Submission deadline: July 6, 2026


Extended versions of selected papers will be published in IARIA Journals: https://www.iariajournals.org

Print proceedings will be available via Curran Associates, Inc.: https://www.proceedings.com/9769.html

Articles will be archived in the free access ThinkMind Digital Library: https://www.thinkmind.org


The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All tracks are open to both research and industry contributions.
Before submission, please check and comply with the editorial rules: https://www.iaria.org/editorialrules.html


PREDICTION SOLUTIONS 2026 Topics (for topics and submission details: see CfP on the site)

Call for Papers: https://www.iaria.org/conferences2026/CfPPREDICTION SOLUTIONS26.html

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PREDICTION SOLUTIONS 2026 Tracks (topics and submission details: see CfP on the site)

Prediction fundamentals

Prediction process (observing, inferring, and classifying); Brain/Psycho predictions in social systems; Prediction techniques (rule-based predication, heuristic, fuzzy logic, etc.); Prediction statistical techniques (regression, bootstrapping, etc.); Agile prediction; Causality vs. Correlation relation; Negative predictive value, Sensitivity, Specificity; Formalizing brain psychological capabilities for prediction

New prediction modeling approaches

Modeling methodologies for repetitive predictions; Criteria for selecting a correlation type; Criteria for selecting a predictor variable for regression analyses; Predictor-based model discrimination and calibration; Experiments for building strong correlation functions; New combinations of correlation measurements; New correction matrix; Optimized correlations for a higher predictive power score; Detecting symmetric and asymmetric correlations; Identifying linear and non-linear correlations; Methods for detecting hidden patterns

Approaches for correlation functions and data

Solutions for correlating variables; Correlation functions with continuous and discrete variables; Guidelines for selection of correlation indicator; Modeling the data with parametric and non-parametric predictive models; Datasets and Machine Learning; Correlation functions for multimodal Big Data; Correlation through AI-based recursive forecasting; Incorporate external intelligence and/or extraneous variables; Private prediction (private ML-based scenarios, public output); Scale-up and scale-down prediction accuracy

Methods/tools for prediction testing and validation

Simulation via Digital Twins technology; Predictive testing tools; Parametric tests (means) and non-parametric tests (medians); Testing recursive predictions; Hypothesis tests: parametric tests (means) and non-parametric tests (medians); Guidelines for test selection vs data distribution

Solutions for prevention via prediction

Preventing systems failures (fault-tolerant systems, resilience, etc.); Preventing thefts (humankind, cyber-protection, etc.); Preventing social crimes (hot spot predictions, etc.); Prevent technical disruptions (predictions on supply chains, intermittent medical assistance, etc.); Prevent massive service disruptions (predictive Internet, power failure, etc.); Solutions for preventive safety (transportations, food industry, hazards, thefts, etc.); General outcome for outturns of any predictions

Solutions and challenges for trending technologies

Solutions for predictive maintenance; Solutions on predictive Internet; Predictive success on restorative medicine; Predictive solutions on mobile health technology in brain-related illnesses; Predictions on massive Cloud-based technology adoptions; Predictions on service availability of hybrid Cloud and Edge/For computing; Case of predicting penetration rate of intelligent automation (Industry 4/0/5.0); Prediction on privacy invasion in human-centered devices/services; Predictions on Return on Investment (RoI) for Blockchain and 5G; Prediction of adoption of Virtual Reality and Augmented Reality; Predictive trust in system resiliency; AI-based prediction of cyber-attacks

Applications in selected domains

Financial markets predictions (inflation, crash, boom, etc.); Predictions in real estate market (home prices, sale volumes, etc.); Prediction model in media consumption (audience, specific media, etc.); Spatial/localization prediction (any domain; see volcano vs fault lines); Natural disasters/catastrophes (forecast based on atmospheric observations); Earthquake predictions models; Predict/Forecast for climate changes (drought, rain, temperature, pollution, etc.); Predict/Forecast local/nationwide of emergency events occurrence (wildfire, flooding, travel conditions); Epidemic/Pandemic prediction models (spreading areas, contagiousness, virulence, etc.); Social predictions (political races, education, etc.)

Models, solutions, applications, and lessons learned

Archaeology; Astronomy; Biology; Economics; Education; Marketing; Medicine and Health Care; Musicology; Psychology; Risk Management; Social Sciences


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PREDICTION SOLUTIONS 2026 Committee: https://www.iaria.org/conferences2026/ComPREDICTIONSOLUTIONS26.html


IARIA Ambassadors

Steve Chan, Decision Engineering Analysis Laboratory, USA
Dirceu Cavendish, Kyushu Institute of Technology, Japan
Monika Maria Moehring, Study Centre for Blind and Disabled Students, Technische Hochschule Mittelhessen, Gie en Germany
Carlos Becker Westphall, Federal University of Santa Catarina, Brazil
Lasse Berntzen, University of South-Eastern Norway, Norway
Les Sztandera, Thomas Jefferson University, Philadelphia, USA
Andreas Rausch, TU Clausthal, Clausthal-Zellerfeld, Germany
Timothy Phan, NASA, Jet Propulsion Laboratory, USA
Manuela Vieira, CTS/ISEL/IPL, Portugal
Luigi Lavazza, Universit dell'Insubria - Varese, Italy