Dear Colleagues,
It is of pleasure for me to inform you that currently iBIGworld results can be observed on the Erasmus+ platform of the project results through the link below
https://erasmus-plus.ec.europa.eu/projects/search/details/2020-1-PL01-KA203-082197
The Erasmus+ projects iBIGworld and “The Future is in Applied Artificial Intelligence” (FAAI) No 2022-1-PL01-KA220-HED-000088359 were presented on October 14, 2022, during the 6th Edition of #ErasmusDays at the University of Bielsko-Biala.
The basic aims and outcomes of the iBIGworld were reported by dr Aleksandra Klos-Witkowska.
In turn, Vasyl Martsenyuk paid attention to the basic work packages of the project FAAI. The link to the presentation is below
On September 15-16, 2022 Transnational Meeting M4 was held in Sofia (Bulgaria). The Meeting was conducted on the basis of the University of Library Studies and Information Technologies https://www.unibit.bg/
The fourth project meeting was organized by the University of Library Studies and Information Technologies (ULSIT) in Bulgaria. The purpose of this meeting was to summarize the project accomplishments, discuss the experience from the second training activity and the second multiplier event, and finalize the evaluations of the fulfillment of the objectives. The plan for post-project output sustainability was confirmed and signed.
The participants from the University of Nis (UNi), the University of Bielsko-Biala (UBB), and the University of Library Studies and Information Technology (ULSIT) took an active part in the meeting.
Photo. Participants of M4 at the University of Library Studies and Information Technologies..
The link to the agenda of the meeting is below
At first, the local dissemination reports were presented and confirmed by Steering Team.
Then the task performance reports were presented and discussed, paying an attention to the sequential order of the intellectual outputs:
Prof. Vasyl Martsenyuk presented the current state of the project outcomes. He focused attention on the rules of reporting the intellectual outcomes of the projects. Namely, the responsibility for preparing corresponding intellectual outputs lies on the leading organizations: O1 – UBB, O2 – TSNUK, O3 – ULSIT, and O4 – UNi. Also, he remarked on the necessity of arrangement of financial reporting for the project, especially timesheets for the intellectual outputs. The real discussion was devoted to the good practice of reporting multiplier events E1, E2, E3, and E4.
Further, he presented to the participants the sustainability plan for the purpose to postpone the dissemination and exploitation activities of the project to the period after completing the financing of the project by the EC. The link to the sustainability plan is below https://docs.google.com/document/d/1AYHF9lYoeRAN0twpQ6eJA6Oty6bzkMtO/edit?usp=sharing&ouid=101046534126028994548&rtpof=true&sd=true
Prof. Georgi Dimitrov has drawn attention to the preparation and shaping of the final evaluations of the project results. The participants of the meeting remarked on the significant contribution of the team of ULSIT and the leading role when developing the framework of the Big Data training course.
Prof. Dejan Rancic has presented the activities fulfilled by the team of UNi. The other participants of the meeting have highly estimated the contribution of the UNi team to the piloting stage of the project, especially when organizing C2 and C3 training activities.
Financial management report was discussed. The participants have agreed on the order of the preparation and filling in of the final financial report with the help of the Mobility Tool platform.
Local dissemination results have been also presented.
Finally, to-do list was offered and confirmed.
Photo: Coordinators of the projects’ teams at M4: prof. Dejan Rancic (UNi), prof. Georgi Dimitrov (ULSIT), prof. Vasyl Martsenyuk (UBB).
Photo: participants of M4 from UBB (Marcin Bernas and Vasyl Martsenyuk) and ULSIT (Eugenia Kovatcheva) at the territory of the rectorate of ULSIT.
The results of the project iBIGWorld have been presented at the 6th International Congress on Information and Communication Technology (ICICT’2021), February 25-26 London
The work was co-funded by the European Union’s Erasmus + Programme for Education under KA2 grant (project no. 2020-1-PL01-KA203-082197 “Innovations for Big Data in a Real World”)
The conference was held through digital platform ZOOM.
The work considers ML problems in medical application and presents a minimax approach for developing ML models that would be resistant to aleatoric and epistemic uncertainties.
The main methods applied are based on linear regression, SVM, random forest for ML, PCA for dimension reduction, cross-validation as a resampling strategy.
The approach which is offered is presented with the help of the flowchart which includes basic steps of ML model development under uncertainties, including import and primary processing the clinical data, the statement of task, resampling strategy including the dimension reduction, the choice of methods (learners), tuning their parameters and models comparison on the basis of minimax criterion.
The work is concerned with the iBIGWorld project since it will be used for the development of tutorials for BidData Analytics.
