Goal (Instruction Goal)
From The Embassy of Good Science
D
Bu bölümde bulunan talimatlar, sizi VIRT2UE araştırma doğruluğu karma öğrenme programının ilk (yüz yüze) grup oturumlarına hazırlamaktadır. +
In this micromodule we introduce key terms, concepts and guidance related to doing research with communities affected by climate change. +
Doing research with communities affected by climate change: Climate-conscious methodologies matrix (for researchers and ethics reviewers) +
This micromodule focuses on the intersection of climate justice, community collaboration, and citizen science in research and innovation. It uses conversation cards inspired by [https://wires.onlinelibrary.wiley.com/doi/epdf/10.1002/wcc.933 Valeria Berseth and Angeline Letourneau's (2024)] on responsible research framework for ‘climate change-conscious methodologies. Applying the concepts mentioned in these cards to practical scenarios, the module encourages reflection on research methodologies that prioritize affected communities, foster fairness, and address shifting vulnerabilities in climate-related challenges. By the end of this module, you should be able to:
* '''Evaluate''' different approaches to research design in terms of fairness, inclusivity, and responsiveness to underrepresented communities.
* '''Apply''' responsible research methods in citizen science or community engagement in climate-affected contexts. +
Doing research with communities affected by climate change: Climate-conscious methodologies matrix (for students and citizen scientists) +
This micromodule focuses on the intersection of climate justice, community collaboration, and citizen science in research and innovation. It uses conversation cards inspired by [https://wires.onlinelibrary.wiley.com/doi/epdf/10.1002/wcc.933 Valeria Berseth and Angeline Letourneau's (2024)] on responsible research framework for ‘climate change-conscious methodologies. Applying these concepts to practical scenarios, the module encourages reflection on research methodologies that prioritize affected communities, foster fairness, and address shifting vulnerabilities in climate-related challenges. By the end of this module, you should be able to:
* '''Evaluate''' different approaches to research design in terms of fairness, inclusivity, and responsiveness to underrepresented communities.
* '''Apply''' responsible research methods in citizen science or community engagement in climate-affected contexts. +
E
Engaging with citizen scientists: Integrating environmental and climate considerations into research practice +
To enable learners to identify and address environmental and climate considerations in citizen science throughout the research lifecycle, while ensuring fairness, sustainability, inclusion, and responsible engagement with citizen scientists.
At the end of the module, learners will be able to:
* Identify environmental and climate considerations relevant to citizen science activities.
* Apply environmental and climate ethics, including fairness, sustainability, and the Do No Significant Harm (DNSH) principle, throughout the research lifecycle.
* Recognise and address issues related to consent, data protection, power imbalances, and the roles and recognition of citizen scientists.
* Integrate environmental and climate considerations into the design, governance, implementation, evaluation, and long-term stewardship of citizen science projects. +
Bu modülde, erdem etiği konusuna giriş yapılmakta ve erdem etiğinin araştırma doğruluğuyla olan ilişkisi üzerinde durulmaktadır. Eğitimi alan kişilerden, yeni edindikleri bilgilerle ilgili olarak kendilerini değerlendirmeleri, öğrenilen kavramları interaktif alıştırmalarda kullanmaları ya da daha önceki deneyimlerine dayanarak bu kavramların kendi günlük araştırma pratikleriyle olan ilişkisi üzerine fikir yürütmeleri ve yorumlamalarda bulunmaları istenmektedir. +
Bu alıştırma, erdemlerin eylem normları ile ilişkilendirilerek gerçek yaşamda karşılaşılan ikilemlerde uygulanması için farklı yöntemlerin geliştirilmesine ve gerçek bir RI ikileminin diyalog yoluyla farklı perspektiflerden yorumlanmasına yardımcı olmaktadır. +
Via this module learners gain an understanding of the principles and values of open science, including its ethical foundations and societal benefits. +
Module C introduces the AI Ethics Issues Identification process as the practical evaluation framework of the AIOLIA training programme. It translates the seven ALTAI requirements into an actionable, checklist-based methodology that enables learners to systematically detect, evaluate, and document ethical risks across real-world AI applications.
Building upon the core operational workflow established in Module B, this module anchors abstract ethics principles to concrete evaluation steps. Through guided theory, illustrative vignettes, and applied use case scenarios, it trains learners to move beyond passive awareness and rigorously analyze how complex issues—such as automation bias, proxy discrimination, data privacy erosion, black-box opacity, and loss of human agency—manifest across diverse operational contexts.
Learning Goals
* Master the 7 Assessment List for Trustworthy Artificial Intelligence (ALTAI) requirements and their core ethical dimensions.
* Apply Section 0 of the AIOLIA Issues Identification Checklist to define system scope, inputs/outputs, and affected stakeholder groups.
* Systematically evaluate AI systems across Sections 1–7 of the checklist using structured Likert-scale assessments and narrative scenario criteria.
* Distinguish between technical, organizational, and societal root causes of ethical risks within real-world deployments.
* Formulate clear, auditable issue statements to document identified risks, creating a reliable foundation for downstream mitigation strategies. +
Module E introduces '''Ethics Tensions Identification''' as a key phase in operationalising AI ethics. Placed directly after Module D (Selection of Practical Measures), this module provides learners with a structured conceptual framework to identify, categorise, and manage conflicting ethical requirements that naturally arise when implementing practical AI measures.
Drawing from real-world AIOLIA narrative use cases (such as GPAI, Emotional AI, Conversational AI, and Clinical Decision Support Systems), Module E moves beyond checklist-style compliance. It explores six core ethical trade-offs between key ALTAI requirements, such as Human Oversight vs. Deskilling, Safety vs. User Autonomy, and Privacy vs. Moderation, mapping each tension to specific technical and organisational measures from the AIOLIA Portfolio.
==== '''Learning Goals''' ====
* '''Identify''' and articulate ethical tensions and trade-offs that emerge when operationalising ALTAI principles in concrete deployment contexts.
* '''Analyze''' six specific real-world tension themes across diverse AI application domains (GPAI, Emotional AI, HR, Clinical DSS, Conversational AI).
* '''Map''' technical (e.g., MS102, MS105, MS61) and organisational (e.g., MS107, MS110, MS114) mitigation measures to specific ethical trade-offs.
* '''Evaluate''' the balance between human autonomy, system safety, user privacy, and accountability within complex decision-support environments.
* '''Formulate''' documented, multi-layered governance and escalation pathways to handle ethical friction without resorting to binary compliance checklists. +
<span lang="HR">After completing this session, learners will be able to:</span>
*Define scientific publishing and explain its role in disseminating research findings to the academic community and beyond.
*Understand the criteria for authorship in academic publications and the ethical considerations involved in assigning authorship credit.
*Describe the principles of responsible peer review and the importance of maintaining confidentiality and impartiality in the peer-review process.
*Identify and assess potential conflicts of interest in scientific publishing, including financial, personal, and professional conflicts.
*Understand the different metrics used to evaluate scientific research, such as citation counts, impact factors, and altmetrics.
*Explain the basics of copyright and licensing in scientific publishing and their implications for authors and readers.
*Recognize the characteristics of predatory journals and publishers and the risks associated with publishing in these outlets. +
This micromodule introduces the ethics of care and its relevance for research. By the end of this micromodule participants should be able to:
* '''Understand''' core ethics of care concepts and their basis in feminist and indigenous philosophies
* '''Identify''' care-based practices in your own research setting
* '''Propose''' strategies for strengthening care-based and environmentally aware practices in your own research and research setting. +
This module introduces the Ethics-by-Design approach to the development and use of artificial intelligence (AI) systems. It explains the importance of considering ethical issues from the beginning of the AI lifecycle and explores how ethical risks can be anticipated and addressed throughout the design and development process.
The module presents the seven key requirements for trustworthy AI and illustrates the practical consequences of failing to incorporate ethical considerations into AI systems. It also introduces the relationship between Ethics-by-Design, the EU AI Act, and trustworthy AI.
'''Learning Goals'''
* Understand the concept and purpose of Ethics-by-Design
* Recognise the importance of addressing ethical considerations throughout the AI lifecycle
* Understand the seven key requirements for trustworthy AI
* Identify potential ethical risks and their consequences in AI systems
* Understand how Ethics-by-Design can support the development of trustworthy AI
* Recognise the relationship between Ethics-by-Design and the EU AI Act +
Learn how to evaluate the content of learning output +
In this module we present two annotated videos recorded at PREPARED project meetings in Bonn and in Paris. In this videos experts in research ethics and integrity discuss pandemic preparedness and share insights into challenges and lessons learned. +
This module introduces a rnage of different case studies developed by EU-funded initatives that can be used to stimulate reflection on the application of different ethical principles. +
This module presents a collection of existing training materials on research integrity and ethics, developed by various EU-funded initiatives. +
This module explores training materials produced by EU-funded projects on the topic of '''Open Science'''. +
This module introduces different guidelines on the responsible use of Artificial Intelligence (AI) in research. +
The aim of this module is to support Research Ethics Committee Member in learning about, and reflecting upon, the ethics issues associated with the development and use of extended reality.
'''Learning outcomes'''
At the end of this module, learners will be able to:
*Consider the primary ethical issues related to the development and use of XR technologies.
*Outline the challenges related to privacy and personal data processing for XR technologies.
*Identify the implications for energy and resource consumption in relation to the development and use of XR technologies.
*Access guidelines and further resources for ethics assessment of XR research and development. +
