The programme is an innovative educational initiative that combines modern data science with aerobiology and clinical practice, focusing on the analysis, modelling and use of pollen and patient symptom data. Through theoretical lectures, case studies and AI/ML applications, participants acquire essential knowledge and skills for understanding the pollen season, investigating the relationship between aeroallergens and symptoms, and developing forecasting tools with direct clinical value.

Addressed to healthcare professionals, biologists, researchers and early-career scientists from the fields of natural sciences, health sciences and environmental sciences, the programme stands out for its interdisciplinary character, its strong practical relevance and its contribution to improving the personalised management of allergic rhinitis. The teaching team consists of professors and experienced researchers from Aristotle University of Thessaloniki and international institutions, with extensive research and publication records in the relevant subject areas. The programme is characterised by interdisciplinarity and a high degree of originality and aims to strengthen modern, high-demand skills in a rapidly developing field in which Aerobiology, Allergology, Environmental Health and Data Science increasingly converge. As aerobiological monitoring, pollen forecasting, the use of big data and AI/ML applications are gaining growing international importance for public health and the management of allergic diseases, the programme provides trainees with skills of direct professional value. At the same time, it prepares them to respond to labour market needs in the fields of health, research, environmental monitoring, digital health, and the analysis of biomedical and environmental data.

Knowledge

·They possess specialized knowledge in the fields of Data Science, Aerobiology, Allergology, and Environmental Health.

·They understand the basic principles of collecting, processing, and interpreting pollen data and patient symptom data.

·They know the fundamental principles of statistical analysis, forecasting, and applications of Artificial Intelligence and Machine Learning in biomedical and environmental data.

·They understand the importance of aerobiological monitoring for public health, clinical practice, and prevention.

Skills

·They manage, organize, and analyze data related to airborne allergens, environmental parameters, and clinical symptoms.

·They apply basic methods of statistical processing and modeling to real-world data.

·They use forecasting tools and Artificial Intelligence/Machine Learning methods to support research and applied needs with the aid of Python.

·They link scientific data with practical applications in the fields of health, research, and environmental monitoring.

Competencies

·They are able to process and to interpret environmental and symptom-oriented data.

·They are able to assess and interpret complex aerobiological and biomedical data within an interdisciplinary context.

·They are able to contribute to the design and support of forecasting, monitoring, and decision-making applications.

·They are able to work effectively in interdisciplinary environments linking health, environment, and data science.

·They are able to further develop their personal professional performance and respond to contemporary labor market demands.

The programme is addressed to:

·graduates of Medicine, Biology, Pharmacy, Nursing, Public Health and other health-related disciplines;

·graduates of Environmental Sciences, Agricultural Sciences, Biosciences, Biotechnology, Meteorology and related fields;

·graduates of natural sciences and data science with an interest in applications in health, the environment and biomedical analysis;

·researchers, PhD candidates, postdoctoral researchers and members of research groups who are active, or wish to become active, in the fields of Allergology, Aerobiology, Environmental Health, Biomedical Research and data analysis;

·healthcare professionals, scientists and staff involved in research, clinical or applied projects related to aeroallergens, environmental exposure, forecasting and public health;

·professionals who wish to upgrade their knowledge and skills in a modern, interdisciplinary and internationally developing field.

Interested parties submit an application online on the website of the Center for Training and Lifelong Learning of the Aristotle University of Thessaloniki.

Applications for participation can be submitted by anybody belonging to the targeted audience and has (a) a relevant University Degree and (b) good knowledge of the English Language (B2)

The Application must be accompanied by the following supporting documents:

1.A motivation letter

2.A CV

Prerequisites for participation in the program:

► Internet access

► Possession of personal e- mail

► Basic computer skills

Selection will be made based on priority order.

In the event that the minimum required number of trainees is not reached , KEDIVIM reserves the right to change the start date of the program or even cancel it.

Physical presence with the ability of online attendance

Teaching Module 1 (Monday 29/06): Introduction to Allergology, Aerobiology and AI/ML

This module includes a total of 8 hours of synchronous teaching.

Teaching Module 2 (Tuesday 30/06): Pollen Season Definitions and Clinical Interpretation

This module includes a total of 8 hours of synchronous teaching.

Teaching Module 3 (Monday 06/07): Quality, Processing and Integration of Pollen and Symptom Data

This module includes a total of 8 hours of synchronous teaching.

Teaching Module 4 (Tuesday 07/07): Statistical Analysis, Time Series and Modelling of the Exposure–Symptom Relationship

This module includes a total of 8 hours of synchronous teaching.

Teaching Module 5 (Wednesday 08/07): Clinical Use, Decision Support and Presentation of Assignments

This module includes a total of 7 hours of synchronous teaching, as well as 1 hour of final quiz.

Overall, the programme includes 39 hours of synchronous teaching and 1 hour of final assessment, corresponding to 40 hours in total.

Participants are provided with:

(1) Notes & slides

(2)Related linerature

A. Trainee Obligations:

1. Participation in the KEDIVIM AUTH programs implies full acceptance of the program’s Study Guide and the Internal Operating Regulations of KEDIVIM AUTH .
2. The presence of trainees in educational programs is mandatory. In programs implemented in person, as well as in those implemented using the modern distance learning method, attendance is generally mandatory and the absence limit cannot exceed 10% of the scheduled training hours. The attendance of asynchronous education is implemented according to the study schedule defined by each program.
3. To successfully complete the program, participants must:
4. the percentage of absences should not exceed 10% of the scheduled training hours,
5. have successfully completed the prescribed examination,
6. have paid the full tuition fees.

B. Trainee Rights:

1. Trainees are informed by the Administrative Support Department of KEDIVIM about any kind of information related to the operation of the Center.
2. Trainees are supported electronically through the educational platform by their instructors , within the framework of the educational process, to resolve questions and provide clarifications related to the thematic modules of the program.
3. Trainees have the right to request the interruption of the program and the refund of tuition fees, in accordance with the provisions of article 12.9 of the Internal Operating Regulations of KEDIVIM AUTH .
4. The work of the trainees is protected under intellectual property provisions.

After successful completion of the program, participants are awarded a Certificate of Training , which is issued by the Center for Training and Lifelong Learning of the Aristotle University of Thessaloniki and signed by the President of KEDIVIM.

Participants who attended, but did not complete the entire program, have the option of being provided with a Certificate of Attendance.