Organizer

Munster Technological University

Virtual Sessions:
05-24 October 2026

Credits:
3-5 ECTS

BIP Type:
Transversal

Fields of Study:
Health and Social Sciences / Transversal — Artificial Intelligence, Research Methods, Ethics 

Level of Experience:
Undergraduate (UG) and Postgraduate (PG) — also open to Research Supervisors 

Sending partners:

Medical University-Sofia (Bulgaria) , Gheorghe Asachi” Technical University of Iași (Romania) (+ other INGENIUM Universities)

Available Places: 25 total
5-15 TUAISI students
5-15 MUS students
5-15 other INGENIUM Universities

BIP Coordinator
João Costa

joao.costa@mtu.ie

Categories:
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INGENIUM BIPs 26/27

BIP Exploring Ethical, Effective and Efficient Uses of AI to Support Health and Social Sciences Researchers

October 26 - October 30

About the programme

Exploring Ethical, Effective and Efficient Uses of AI to Support Health and Social Sciences Researchers- The purpose of the BIP is to combine different disciplinary experiences and backgrounds from students and staff at the partner institutions to identify and address common questions around ethical, effectiveness and efficiency aspects of AI. Participants will share their understanding and learning on development and use of AI in Health and Social Sciences research, covering: 

  • Ethical principles and boundaries of collecting, analysing and reporting on different types of quantitative and qualitative data relative to Health and Social Sciences disciplines (e.g. biological markers, psychological dispositions, demographic features)
  • Validity requirements for quantitative and qualitative data collection, analysis and reporting that make AI tools effective
  • Types, trade-offs and gains of efficiency in collecting, analysing and reporting quantitative and qualitative data with AI tools 
  • Integration and interaction of AI tools with other digital tools and environments (e.g. Virtual Reality, Augmented Reality) in relation to collection, analysis and reporting of quantitative and qualitative data in Health and Social Sciences 

        How you will learn

        Learning activities are based on problem-based and case-based learning, including scenarios inspired by applied sciences. Students work in international teams through three phases: 

        • Guest Lectures delivered by experts in artificial intelligence and health and social sciences research 
        • Interactive Workshops featuring digital technologies, brainstorming activities, experience sharing, case studies, and live demonstrations 
        • Interdisciplinary learning groups combining learning experience and expertise from different disciplines and levels of AI knowledge 

        Special emphasis is placed on reflection and metacognition, supported by guided self-reflection tools and group discussions.

        Competences you will develope

        • Ethical, effective, and efficient use of AI in health and social sciences research 
        • Digital competences and responsible AI integration in academic research 
        • Interdisciplinary and intercultural collaboration 
        • Research integrity and validity in data collection, analysis and reporting 
        • Inclusiveness: accessible support for students and supervisors from diverse disciplinary backgrounds 
        • Potential integration into INGENIUM Doctoral School 

                Learning Outcomes

                After successful completion of the BIP, students will be able to:

                • LO1. Critically evaluate the ethical principles and boundaries of using AI tools in the collection, analysis and reporting of quantitative and qualitative data in Health and Social Sciences research 
                • LO2. Assess the validity requirements for data collection, analysis and reporting that ensure AI tools are used effectively in health and social sciences research 
                • LO3. Analyse the types, trade-offs and efficiency gains of AI tools in collecting, analysing and reporting qualitative and quantitative research data 
                • LO4. Evaluate the integration of AI tools with other digital environments (e.g. VR, AR) in the context of health and social sciences research 
                • LO5. Collaborate effectively in interdisciplinary and international teams to address shared research challenges around ethical, effective, and efficient AI use 

                BIP's Programme

                Virtual component (online activities)

                Period:  Two online sessions each on the week of 12th and 19th October 

                Schedule / Contents: 

                  • 2 to 3 online guest lecture sessions delivered by experts in AI and health and social sciences research 
                  • Programme design meetings: Academic Coordinators meet regularly online to finalise the full programme outline by late May / early June 
                  • BIP Setup / Erasmus agreements confirmed by May/June 
                  • Student and staff allocation confirmed by late September; travel, accommodation and Learning & Teaching agreements arranged

                  Duration: online lectures, self-study and/or group work = 50 hours

                  Physical component (on-site at MTU) 

                  Period: 26-30 October

                  Programme / Contents: 

                  • Interactive Workshops exploring digital technologies, brainstorming activities, experience sharing, case studies, and live demonstrations 
                  • Interdisciplinary learning groups combining expertise from different disciplines and levels of AI knowledge 
                  • Five consecutive days of in-person engagement at MTU Cork Campus 

                  Duration: 5 days = 40 hours of on-site activities 

                  Application requirements

                  To apply for this BIP you must:

                  • Be enrolled at one of the INGENIUM partner universities at the time of the programme.
                  • Apply through your home (sending) institution.
                  • Have a sufficient level of English (typically B2 or equivalent).
                  • Be available to participate in both the virtual and physical components of the BIP.
                  • Meet any specific academic or eligibility requirements indicated for this programme.

                  As this BIP includes a physical mobility period hosted at MTU (Ireland, Cork) it is intended for students coming from other INGENIUM partner institutions. Therefore, students enrolled at MTU are not eligible to apply for this specific BIP.

                  How to apply

                  Applications for this BIP are managed by each INGENIUM partner university.

                  To apply, please select your home university from the list below and follow the application process indicated on their page. Each institution has its own application platform and procedure.

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