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Practice oriented step-by-step instructions that will help you as a research integrity and ethics trainer and trainee.
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Module
Members of The Embassy of Good Science have developed a set of six user-friendly, accessible methods for analysing research ethics and research integrity cases.
These methods have been identified, adapted and presented so that they can be appropriated by all users, without prior philosophical knowledge, in local contexts.
Module
Members of The Embassy of Good Science have developed a set of six user-friendly, accessible methods for analysing research ethics and research integrity cases.
These methods have been identified, adapted and presented so that they can be appropriated by all users, without prior philosophical knowledge, in local contexts.
Module
Members of The Embassy of Good Science have developed a set of six user-friendly, accessible methods for analysing research ethics and research integrity cases.
These methods have been identified, adapted and presented so that they can be appropriated by all users, without prior philosophical knowledge, in local contexts.
Module
04 - Moral Case Deliberation: A Method for Analysing Cases in Research Ethics and Research Integrity
Members of The Embassy of Good Science have developed a set of six user-friendly, accessible methods for analysing research ethics and research integrity cases.
These methods have been identified, adapted and presented so that they can be appropriated by all users, without prior philosophical knowledge, in local contexts.
Module
Members of The Embassy of Good Science have developed a set of six user-friendly, accessible methods for analysing research ethics and research integrity cases.
These methods have been identified, adapted and presented so that they can be appropriated by all users, without prior philosophical knowledge, in local contexts.
Module
Members of The Embassy of Good Science have developed a set of six user-friendly, accessible methods for analysing research ethics and research integrity cases.
These methods have been identified, adapted and presented so that they can be appropriated by all users, without prior philosophical knowledge, in local contexts.
Module
The aim of this module is to facilitate reflection upon the ethics issues associated with the development and use of non-human gene editing in a research project.
Learning outcomes
At the end of this module, learners will be able to:
- Identify and analyse the ethics issues and dilemmas associated with an example research proposal.
- Make suggestions for how the ethics issues might be addressed.
- Identify ethics guidelines and policies that are relevant to the proposed research.
Module
The aim of this module is to facilitate reflection upon the cross-cutting ethics issues associated with a research proposal to use AI-driven analytics to understand malaria transmission patterns in rural Sub-Saharan Africa.
Learning outcomes
At the end of this module, learners will be able to:
- Identify and analyse the ethics issues and dilemmas associated with a hypothetical research proposal.
- Make suggestions for how the ethics issues, including ethics dumping, might be addressed.
- Identify ethics guidelines and policies that are relevant to the proposed research.
Module
Module B introduces the AI Ethics Operationalisation Workflow as the central operational framework of the AIOLIA training programme. It translates high-level AI ethics principles into a structured, step-by-step workflow that supports the practical assessment, identification, and mitigation of ethics issues in AI systems across their lifecycle. The module builds on three core building blocks—ethics requirements, practical measures, and ethics tensions—which collectively support the operationalisation of the seven ALTAI requirements in real-world contexts. Illustrated through a practical use case scenario, it guides learners through a 5-step iterative process and establishes the operational backbone of the AIOLIA methodology.
Learning Goals
- Understand the 5-step AI Ethics Operationalisation Workflow and its role in bridging theory and practice
- Use Section 0 of the AIOLIA Issues Identification Checklist to establish the operational context of an AI system
- Identify potential AI ethics risks and map them under the seven ALTAI requirements using Sections 1–7 of the checklist
- Navigate, select, and adapt context-appropriate measures from the AIOLIA Portfolio of Measures (122 technical and organizational measures)
- Recognize and analyze ethics tensions and trade-offs that arise between competing ALTAI requirements
- Perform an Ethics Check to validate findings, ensuring completeness, traceability, and auditable documentation
Module
The aim of this module is to support research ethics reviewers in learning about AI technologies for the review of projects and proposals that develop and/or use AI for healthcare.
The content focuses on key technology basics in a succinct manner, and signposts further learning opportunities for those who require more in-depth knowledge.
Learning outcomes
At the end of this module, learners will be able to:
- Identify AI systems and how they are built.
- Discuss some key applications of AI-based systems in healthcare.
- Discuss the primary implications of the use of AI in healthcare.
Module
This module introduces the ethics foundations of artificial intelligence (AI) within European policy frameworks. It covers the definition of an AI system according to the EU AI Act, along with core AI concepts and techniques.
It further explores the ethics-by-design approach, showing how ethics principles can be embedded throughout the AI lifecycle. The module also presents the requirements for trustworthy AI as defined by the High-Level Expert Group on AI and introduces the ALTAI framework as a practical self-assessment tool.
Overall, this module equips learners with the essential prerequisite knowledge to understand AI fundamentals and serves as an introductory module to the course.
Learning Goals
- Understand the definition of an AI system under the EU AI Act
- Become familiar with core AI concepts and terminology
- Explain the ethics-by-design approach
- Identify the key requirements for trustworthy AI
- Understand the purpose and basic use of the ALTAI framework
Module
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 AI technologies in healthcare.
Learning outcomes
At the end of this module, learners will be able to:
- Explain the relevance of informed consent, transparency and explainability for AI in healthcare.
- Describe the data-related ethics issues for AI in healthcare.
- Reflect upon broader ethics issues (like social values and the environmental impact) related to AI in healthcare.
- Access relevant guidelines and regulations for the use of AI in healthcare (e.g., the European Commission Guidelines for AI Research)
Module
This module will help you to add your project outputs as resources on the Embassy! Adding resources to the Embassy is the best way to highlight your educational materials, guidelines, and project deliverables in a way that makes them accessible to users across the platform
Module
This module will teach you how to add a module to the Embassy of good science.
Module
This module provides an overview of the different functionalities available to users of the Embassy, with videos showing you how you can contribute!
Module
This micromodule introduces key ethical principles that are relevant to environmental justice in research practices. After completing this micro module learners will be able to:
- Analyze the environmental implications of research through the lens of ethical principles related to environmental justice
- Apply each principle to research practice by responding to questions that prompt critical reflection
Module
This micromodule introduces Life Cycle Assessment (LCA) as a structured tool for evaluating environmental impacts across chains. It aims to develop foundational understanding of life cycle thinking, highlight sustainability challenges, and demonstrate how LCA supports evidence-based decision-making, identifies environmental hotspots, and addresses uncertainty in complex systems such as healthcare delivery and agro-food logistics.
At the end of this module, students will be able to:
- Explain the concept and purpose of Life Cycle Assessment (LCA).
- Describe the key stages of supply chains using illustrative cases from healthcare and research practice.
- Apply life cycle thinking (cradle-to-grave) to real-world products.
- Identify major environmental impacts and hotspots across supply chains.
- Understand how LCA supports sustainable and evidence-based decision-making.
Module
This micromodule provides an introduction to Ecofeminist Ethics and its relevance for research. A completing this module, learners will be able to:
- Understand the role of ecofeminist principles in research,
- Apply relevant ecofeminist principles to various research dilemmas.
Module
Bu bölümde bulunan talimatlar, katılımcılara (yüz yüze) grup oturumları arasında yapılması gereken çalışmaları nasıl organize edecekleri hususunda bilgi vermektedir.
Module
Bu modülde, araştırma doğruluğuyla ilgili genel ilkelere giriş yapılmakta, Araştırmalarda Dürüstlük Konusunda Avrupa Davranış Kodu (ECoC)’nun çizdiği kılavuz niteliğindeki çerçeve açıklanmakta ve sizden ECoC’u kendi karşılaştığınız durumlara uyarlamanız istenmektedir.
Module
The purpose of this training activity is to engage participants in a game to encourage discussion on fictional research ethics and research integrity cases in order to promote better self-understanding and mutual understanding, while also enhancing listening and argumentation skills.
Module
This module aims to encourage reflection on the ethical issues involved in biobanking, cross-border collaborations and the need for alignment of practices across countries and between public and private institutions.
Learning outcomes
At the end of this module, learners will be able to:
- Identify and analyse the ethics issues and dilemmas associated with an example research proposal.
- Make suggestions for how the ethics issues might be addressed.
- Identify ethics guidelines and policies that are relevant to the proposed research.
Introduction
This case study is based around a research proposal submitted for review by a partnership between an EU research institute and an African medical research centre. It is a hypothetical case but draws inspiration from current discussions regarding the use of biobanking technologies in research. As you work through the module, we invite you to consider the ethics issues that are associated with this type of study from a variety of perspectives as well as how they might be addressed by a research ethics committee.Module
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 biobanking.
Learning outcomes
At the end of this module, learners will be able to:
- Debate the pros and cons of various models of consent for biobanking samples.
- Consider the core issues for biobank data processing related to data protection, data sharing, and privacy concerns.
- Identify varied methods for dealing with incidental findings.
- Access guidelines and regulations relevant to biobanking.
Module
To support research ethics reviewers in learning about biobanking for the review of projects and proposals that include the use of biobanks. The content focuses on key technology basics, in a succinct manner, and signposts further learning opportunities for those who require more in-depth knowledge.
Learning outcomes
At the end of this module, students will be able to:
1. Explain what is meant by ‘biobank’, the different types and uses.
2. Describe different types of biological sample and related data and their uses.
3. Discuss matters related to the sources, storage and sharing of biological samples and health-related data.Module
This Micromodule introduces participants to the concept of circularity and its application in research and innovation.
By the end of this module participants should be able to:
- Understand the concept of circularity and explain its relevance to sustainable research and innovation.
- Identify and apply the 9R strategies (Refuse, Rethink, Reduce, Reuse, Repair, Refurbish, Remanufacture, Repurpose, Recycle) in practical contexts.
- Develop systems thinking and adaptability skills to analyze how circularity influences research, innovation, and design decisions.
- Integrate circular principles into their professional activities to promote sustainability and resource efficiency.
Module
To equip learners with the knowledge and practical skills to understand, participate in, and critically evaluate citizen science initiatives that contribute to climate and environmental research, monitoring, and evidence-based decision-making.
Module
On this page we present the TIER2 Reproducibility Network Award, the stakeholder community building activities and efforts of TIER2, our consortia partners (iRise and OSIRIS), and finally the UKRN Primers initative.
Module
After completing this module learners will be able to: a) Understand the concept of conflict of interest and how to deal with it, and b) Recognise and disclose financial and non-financial conflicts of interest in the context of citizen science.
Module
This module introduces the ethics foundations of artificial intelligence (AI) within European policy frameworks. It covers the definition of an AI system according to the EU AI Act, along with core AI concepts and techniques.
It further explores the ethics-by-design approach, showing how ethics principles can be embedded throughout the AI lifecycle. The module also presents the requirements for trustworthy AI as defined by the High-Level Expert Group on AI and introduces the ALTAI framework as a practical self-assessment tool.
Overall, this module equips learners with the essential prerequisite knowledge to understand AI fundamentals and serves as an introductory module to the course.
Learning Goals
- Become familiar with core AI concepts and terminology
Module
This module will explain how to make an initiative page for your project, which you can link to courses, modules, and resources across the platform Embassy platform!
Module
In this module, you will learn how to:
- Create your own interactive content on the Embassy, using H5P!
- Add the interactive content you have created to training materials!
- Download and reuse the H5P files you have created elsewhere!
Module
In this micromodule participants will learn how to develop a tailored climate communication strategy for their research environment (department, group, project). They will explore practical ways to implement small but impactful behavioral changes that promote sustainability within academic culture. Additionally, they will gain the skills to apply core sustainability values when planning and delivering events or conferences in their field. By the end of the module participants should be able to:
- Develop a tailored climate communication strategy for their research environment (department, group, project).
- Explore practical ways to implement small but impactful behavioral changes that promote sustainability within academic culture.
- Apply core sustainability values when planning and delivering events or conferences in their field.
Module
The aim
To encourage learners to reflect critically upon their own beliefs and assumptions and to recognise the importance of positionality in the construction of knowledge and approach to ethical analysis.
At the end of this module, learners will be able to:
- Reflect upon their own positionality, where it comes from, how it influences their thinking and personal biases.
- Critically examine the basis of knowledge.
- Appraise the significance of alternative epistemological positions.
- Take a critical approach to ethical analysis.
Module
This exercise helps participants to identify the features of, and differences between, debate and dialogue. Participants become aware of the strengths of dialogue as a tool for reflection processes.
Module
Diese Übung hilft den Teilnehmenden, die Merkmale und Unterschiede zwischen einer Debatte und einem Dialog zu erkennen. Sie lernen, dass der Dialog ein wertvolles Werkzeug für Reflexionsprozesse ist.
Module
Bu bölümde bulunan talimatlar, katılımcılara VIRT2UE eğitiminin ikinci (yüz yüze) grup oturumu için nasıl hazırlanacakları ve bu oturumda neler yapacakları hususunda bilgi vermektedir.
Module
Kann man zu ehrlich sein? Diese Übung hilft den Teilnehmenden, moralische Sensibilität in Bezug auf jene Werte und Tugenden zu entwickeln, die grundlegend im Zusammenhang mit Research Integrity stehen. Die Übung fördert insbesondere die Reflexion über die moralische Ambiguität, die bestimmten Werten und Tugenden innewohnt.
Module
Diese Übung fördert die Reflexion über das Konzept des Guten und dessen Anwendung im wissenschaftlichen Kontext
Module
The “Diner Pensant – Tasteful conversations to empower good practices in science” is a workshop method to promote a food for thought critical reflection about good and bad scientific practices, in a relaxing, interactive, and enjoyable atmosphere.
Module
This short micromodule introduces learners to the visual and conceptual model of “directionality towards planetary stewardship” developed by Redvers et al. (2023). It prompts critical reflection on how institutions, knowledge systems, and personal attitudes either reproduce or resist dominant paradigms of disconnection. The exercise helps bridge the cognitive, affective, and relational shifts needed to move from disconnection to stewardship. It integrates Indigenous pedagogies, critical theory, and planetary health education frameworks.
By the end of this module, participants should be able to:
- Recognise the paradigm shift from extractivist/anthropocentric logics to relational, ecocentric orientations.
- Reflect on their own positionality and role as planetary stewards.
- Explore the role of emotion, compassion, and plural knowledge systems in transforming research and education practices.
- Identify actions to support inclusive, just, and relational planetary health education
Module
Bu bölümde bulunan talimatlar, sizi VIRT2UE araştırma doğruluğu karma öğrenme programının ilk (yüz yüze) grup oturumlarına hazırlamaktadır.
Module
In this micromodule we introduce key terms, concepts and guidance related to doing research with communities affected by climate change.
Module
This micromodule focuses on the intersection of climate justice, community collaboration, and citizen science in research and innovation. It uses conversation cards inspired by 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.
Module
This micromodule focuses on the intersection of climate justice, community collaboration, and citizen science in research and innovation. It uses conversation cards inspired by 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.
Module
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.
Module
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.
Module
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.
Module
Via this module learners gain an understanding of the principles and values of open science, including its ethical foundations and societal benefits.
Module
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
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.
Module
After completing this session, learners will be able to:
- 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.
Module
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.
Module
This module introduces the ethics foundations of artificial intelligence (AI) within European policy frameworks. It covers the definition of an AI system according to the EU AI Act, along with core AI concepts and techniques.
It further explores the ethics-by-design approach, showing how ethics principles can be embedded throughout the AI lifecycle. The module also presents the requirements for trustworthy AI as defined by the High-Level Expert Group on AI and introduces the ALTAI framework as a practical self-assessment tool.
Overall, this module equips learners with the essential prerequisite knowledge to understand AI fundamentals and serves as an introductory module to the course.
Learning Goals
- Explain the ethics-by-design approach
Module
Learn how to evaluate the content of learning output
Module
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.
Module
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.
Module
This module presents a collection of existing training materials on research integrity and ethics, developed by various EU-funded initiatives.
Module
This module explores training materials produced by EU-funded projects on the topic of Open Science.
Module
This module introduces different guidelines on the responsible use of Artificial Intelligence (AI) in research.
Module
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.
Module
To support research ethics reviewers in learning about extended reality (XR) technologies, for the review of projects and proposals that include the use of extended reality. The content focuses on key technology basics, in a succinct manner, and signposts further learning opportunities for those who require more in-depth knowledge.
Learning outcomes
At the end of this module, learners will be able to:
- Describe and distinguish between virtual reality (VR) and augmented reality (AR).
- Discuss the meaning of key concepts associated with XR (like metaverse, presence and interoperability).
- Explain the different types of hardware necessary for XR (like headsets and haptic devices etc.).
Module
Burada bulunan talimatlar size bir VIRT2UE eğitimini organize ederken takip etmeniz gereken adımlara ilişkin genel bir çerçeve sunmaktadır.
Module
This micromodule builds on the Earth to Research podcast episode “Food for Thought: Systems Thinking and Traditional Knowledge,” exploring food systems as complex, interconnected networks linking environmental sustainability, social justice, and global economic structures. The episode contains themes related to epistemic justice, indigenous knowledge and collaborative research. After engaging with the podcast and following the reflexive activities, learners will be able to:
1. Describe how epistemic injustice occurs in research activities.
3. Analyse how power and responsibility are distributed among actors in research activities.
4. Evaluate ethical issues in food systems research, including knowledge use, inclusion, and benefit sharing.
5. Apply systems thinking in an ethically informed way to identify context-sensitive and just interventions.Module
This micromodule enhances learners understanding of the role and importance of plastic waste recycling for a green and sustainable lab. By the end of the micromodule, learners should be able to:
- Identify different types of plastic materials in a lab.
- Describe actionable steps for managing and recycling plastics in a lab.
- Reflect on the challenges of developing a recycling pipeline for plastic waste in a lab.
Module
The aim of this module is to facilitate reflection upon the ethics issues associated with the development and use of gene editing in humans.
Learning outcomes
At the end of this module, learners will be able to:
- Identify and analyse the ethics issues and dilemmas associated with an example research proposal.
- Make suggestions for how the ethics issues might be addressed.
- Identify ethics guidelines and policies that are relevant to the proposed research.
Video Transcript
In humans, gene therapy via gene editing is a rapidly growing field of research with many potential benefits for health and wellbeing. It involves the editing of genes to modify or knock out specific genes to achieve desired traits, to correct genetic defects, to treat or prevent disease, or to enhance cellular functions.
In this module we consider an example proposal for a research project that is based upon a real-world study. The study aims to trial gene therapy for Hunter syndrome in a small group of young children. As you work through the module, we invite you to consider the ethics issues that are associated with this type of study from a variety of perspectives as well as how they might be addressed. We begin with some information about the disease.
Module
The aim of this module is to facilitate reflection upon the ethics issues associated with the development and use of gene editing in humans.
Learning outcomes
At the end of this module, learners will be able to:
- Identify and analyse the ethics issues and dilemmas associated with an example research proposal.
- Make suggestions for how the ethics issues might be addressed.
- Identify ethics guidelines and policies that are relevant to the proposed research.
Module
To support Research Ethics Committee Member in learning about and reflecting upon the ethics issues associated with the development and use of gene editing.
Learning outcomes
At the end of this module, learners will be able to:
- Weigh the potential harms and benefits of different areas of gene editing.
- Identify safety issues related to the techniques and applications of gene editing.
- Reflect upon some of the broader ethics issues (like dual use/misuse or slippery slope) associated with gene editing.
- Access the relevant guidelines and regulations for gene editing
Module
The aim of this module is to support research ethics reviewers in learning about gene editing technologies for the review of projects and proposals that include the use of gene editing. The content focuses on key technology basics, in a succinct manner, and signposts further learning opportunities for those who require more in-depth knowledge.
Learning outcomes
At the end of this module, learners will be able to:
- Explain the basics of gene editing and the role of CRISPR-Cas9.
- Describe possible fields of human application.
- Describe possible fields of non-human application.
- Identify the main risks associated with human and non-human applications.
Module
The main goal of this module is to integrate environmental and climate considerations into research ethics beyond the identification and mitigation of environmental harm, by applying principles of responsibility and precaution, justice and fairness, and participation and inclusion throughout the design, conduct, and review of research.
By the end of the module, learners will be able to:
- Identify environmental and climate-related ethical considerations in research, including broader impacts beyond direct environmental harm.
- Apply principles of responsibility and precaution to research design, methods, transparency, and outputs.
- Assess questions of justice and fairness, including the distribution of research benefits, risks, and burdens across groups and generations.
- Integrate diverse perspectives, forms of knowledge, and stakeholder interests through participatory and inclusive approaches.
- Reflect and act on environmental and climate-related ethical decisions by documenting, monitoring, and revising them throughout the research process.
Module
This micromodule is designed to raise awareness about sustainable laboratory (lab) management through environmentally friendly practices that promote green labs, improve research efficiency and drive smarter innovation.
By the end of this activity, participants should be able to:
- Identify daily small actions that can be undertaken to make labs more environmentally friendly.
- Examine the case of inefficient energy use in labs to identify underlying causes and propose improvement strategies.
- Reflect on how changes towards sustainable management should be implemented
Module
This short interactive workshop introduces some of the ethical challenges related to biobanking. Using statements, it aims to encourage reflection on ethical issues related to this technology among master students.
Module
This module introduces the ethics foundations of artificial intelligence (AI) within European policy frameworks. It covers the definition of an AI system according to the EU AI Act, along with core AI concepts and techniques.
It further explores the ethics-by-design approach, showing how ethics principles can be embedded throughout the AI lifecycle. The module also presents the requirements for trustworthy AI as defined by the High-Level Expert Group on AI and introduces the ALTAI framework as a practical self-assessment tool.
Overall, this module equips learners with the essential prerequisite knowledge to understand AI fundamentals and serves as an introductory module to the course.
Learning Goals
- Understand the definition of an AI system under the EU AI Act
- Become familiar with core AI concepts and terminology
- Explain the ethics-by-design approach
- Identify the key requirements for trustworthy AI
- Understand the purpose and basic use of the ALTAI framework
Module
This micromodule introduces the overall structure, components, and intended use of the course “Sustainability and Eco-Justice in Everyday Research”. By the end of this micromodule, participants should be able to:
- Understand the structure and logic of the course design
- Recognise the different parts and learning components
- Navigate between micromodules and learning activities
- Use the course materials effectively according to their learning goals
Module
This course aims to empower students with knowledge that underlies principles of accuracy, honesty, reproducibility, responsibility and transparency.
Module
This training template supports IRECS trainers in the organization and planning of topical sessions for specific target groups on the content presented in the IRECS modules on Biobanking, AI health, Virtual reality and Gene editing.
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After completing this section of the course you will:
- Have learned more about the various types and spread of Image Manipulation in research.
- Have learned why it is considered a serious research misconduct.
- Have practiced spotting some examples of Image Manipulation for yourself.
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This micromodule introduces a reflexive tool based on question cards designed to support researchers and practitioners in integrating intersectional gender, health, and climate considerations into their research. Developed by Verdonk et al. (2024), the card prompts support thoughtful engagement with public policy contexts, systemic inequities, and positionality. Drawing on the Intersectionality-Based Policy Analysis (IBPA) framework, ecofeminist theory, and feminist systems thinking, the cards help participants address equity, voice, and sustainability in the context of planetary health and just urban transitions. the end of this micromodule, participants should be able to:
- Identify and reflect on intersectional dimensions (e.g. gender, race, class, disability) in climate and health research.
- Explore how power and privilege operate in environmental and health research design and policy influence.
- Formulate more inclusive and socially just research questions using reflexive prompts.
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This Micromodule familiarizes participants with the ideas of degrowth, postgrowth, and post-growth-oriented innovation, highlighting the limits of traditional growth and the need for sustainable, socially just approaches.
By the end of the module participants should be able to:
- Recognize the significant differences between growth-oriented and post-growth-oriented innovation.
- Identify and understand the core values associated with each orientation.
- Reflect on the role of each approach to innovation in relation to sustainability.
- Assess the broader social significance of both approaches to innovation.
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Integrity Games is a research based learning platform on academic integrity. It is designed to spark interest, reflection and learning through four gamified cases and a library of central concepts.
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This module introduces the ethical challenges in gene editing. Using real life cases, it aims to encourage reflection on ethical issues related to this technology.
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These instructions provide information on how to organize the work in between (face to face) group sessions.
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This module presents training materials on research ethics and integrity for various target audiences, developed by several EU-funded initiatives.
Module
After completing this session, learners will be able to:
- Define research ethics and integrity and explain their importance in the context of academic research.
- Identify and articulate the core principles of research integrity, including honesty, transparency, objectivity, and accountability.
- Describe the key elements of the European Code of Conduct for Research Integrity and how they apply to research practices.
- Locate and utilize web-based resources to support and enhance research integrity in your academic work.
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This series of eLearning modules provides an introduction to virtue ethics, and highlights the relevance of virtue ethics for research integrity. Learners are invited to self-assess newly gained knowledge, relate and apply the concepts in reflexive exercises, or reflect on the relevance of these concepts for their daily research practice by drawing upon their prior experience.
Module
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.
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This series of eLearning modules provides an introduction to the main principles of research integrity, describes the guidance outlined in the European Code of Conduct for Research Integrity (ECoC), and asks you to apply the ECoC to your own context.
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This series of eLearning modules highlights the relevance of supervision, mentoring, and role-modeling in research environments and provides definitions of roles and their corresponding responsibilities.
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This micromodule introduces the concept of environmental justice and its relevance for research practice. After completing this micro-module learners will be able to:
- Understand the concept of environmental justice
- Recognize how environmental harms and benefits are often distributed unequally across different communities.
- Reflect on the responsibility researchers hold in shaping sustainable and fair outcomes and how disparities may arise within the context of their own research or professional practice.
Module
This module introduces the content and approach of the BEYOND Trainer Guide and provides guidance for developing learning goals and evaluation strategies.
Module
Gain a comprehensive understanding of how to evaluate the effectiveness of Research Ethics and Integrity (REI) training through diverse, practical measurement tools and approaches that assess learning outcomes, feasibility, and long-term impact across different contexts.
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This Micromodule introduces sustainability as a wicked problem and highlights the importance of Perspective Taking, Systems Thinking, and Negotiation in engineering.
By the end of the module participants will be able to:
- Understand the wicked nature of sustainability and recognize the complexity of balancing environmental, social, and economic dimensions in engineering decisions.
- Apply transversal skills — Perspective Taking, Systems Thinking, and Negotiation — to analyze and solve complex sustainability challenges in engineering contexts.
- Evaluate material and design choices considering environmental impacts, societal wellbeing, and ethical responsibilities to promote sustainable engineering practices.
- Reflect on the broader responsibilities of engineers in creating solutions that are socially responsible, environmentally sound, and technically effective.
Module
This micromodule introduces the idea of a just transition by looking at how climate solutions can unintentionally repeat old patterns of inequality. It focuses on the tension between climate justice and what some scholars call green colonialism. By the end of the micromodule, learners should be able to:
- Identify and distinguish key types of justice (e.g., recognition, spatial, distributive, epistemic, intergenerational) that shape environmental justice debates.
- Recognize how certain green initiatives overlook broader social and historical contexts.
Module
Bu bölümde bulunan talimatlar size VIRT2UE eğitiminde üzerinde durulan kavram ve konulara aşinalık kazanmanızı sağlayacak okuma ve ödevlere ilişkin genel bilgiler sunmaktadır.
Module
Find out about learning cards as a training material that can be used to teach trainees within or outside an academic setting.
Module
This module explores a collection of different research ethics and integrity games that can be used to deepen engagement and reflection.
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This module presents training materials on responsible supervision and mentorship for various target audiences, developed by several EU-funded initiatives.
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Learn about how to monitor the development of reflection skills during a training and how to analyse ethics sections of doctoral dissertations to evaluate the quality of ethical considerations
Module
Explore what empowerment is for early career researchers (ECRs) and PhDs, in the context of daily life in academia. And to raise awareness of the role PhDs hold in influencing research culture.
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This micromodule invites researchers and students to reflect on their work in relation to intersectional environmental justice using a visual “Crisis Tree”.
By the end of the module, participants should be able to:
- Identify systemic factors (e.g., public policy, health equity, urban inequality) that shape research impacts and responsibilities.
- Map research linkages to climate justice, interspecies justice, and gendered (urban) contexts using the “Crisis Tree”.
- Articulate how their research connects with environmental and climate justice using intersectionality-based thinking.
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The MOOC course aims at helping PhD candidates to overcome common difficulties in the area of research integrity and to provide ideas on how to become a responsible researcher, who feels empowered by knowledge of integrity.
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Learn about measurement tools and evaluate the possible use of the identified measurement methods for long-term effects.
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Learn about measurement tools and evaluate the possible use of the identified measurement methods for mid-term effects.
Module
Learn about measurement tools and evaluate the possible use of the identified measurement methods for short term effects.
Module
Bu modülde halihazırda hâkim olan araştırma kültürünün, erdem etiği yaklaşımını baltalayacak koşullar oluşturabileceği ve araştırmacıların ahlaki açıdan uygun olmayan davranışlar geliştirmesine yol açabileceği yönündeki kaygıların üzerinde durulacaktır.
Module
This short interactive workshop introduces the ethical challenges in gene editing. Using a real case, it aims to encourage reflection on ethical issues related to this technology among junior researchers.
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This exercise supports participants in identifying research integrity principles, virtues and questionable research practices in a hypothetical case. It provides a framework to consider, choose and defend alternative courses of action regarding realistic research integrity dilemmas.
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This micromodule builds on the content of the third episode of Earth to Research, titled "Myths and Rituals: Art-Science, Sustainable Tech, and Degrowth" and explores how research and innovation can be re-imagined in the context of ecological crisis. After engaging with this resource and completing the activities, learners will be able to:
- Explain how sustainability and ecological issues extend beyond technological solutions and require social, cultural and epistemic change.
- Recognize degrowth as a plural, evolving critique of endless economic growth.
- Reflect on how art–science collaborations can foster new narratives, empathy, uncertainty, and ethical awareness in research practice.
- Identify ways in which reflexivity, care, storytelling and plurality of knowledge can reshape research design and engagement with the environment.
Module
Bu alıştırma, katılımcıların münazara ve diyalog yöntemlerinin ayırt edici özelliklerini ve bu iki yöntem arasındaki farkları anlamalarına ve fikir yürütme süreçlerinde kullanılan bir araç olarak diyaloğun kuvvetli ve kullanışlı yanlarını fark etmelerine yardımcı olmaktadır.
Module
Bu alıştırma, katılımcıların münazara ve diyalog yöntemlerinin ayırt edici özelliklerini ve bu iki yöntem arasındaki farkları anlamalarına ve fikir yürütme süreçlerinde kullanılan bir araç olarak diyaloğun kuvvetli ve kullanışlı yanlarını fark etmelerine yardımcı olmaktadır.
Module
Bu alıştırma, katılımcıların münazara ve diyalog yöntemlerinin ayırt edici özelliklerini ve bu iki yöntem arasındaki farkları anlamalarına ve fikir yürütme süreçlerinde kullanılan bir araç olarak diyaloğun kuvvetli ve kullanışlı yanlarını fark etmelerine yardımcı olmaktadır.
Module
This micromodule introduces Nature-Based Solutions (NbS) and Multispecies Thinking as key frameworks for sustainable and inclusive research and innovation. By the end of this micromodule, learners should be able to:
- Describe the advantages of NBS for research and innovation and differentiate from greenwashing.
- Reflect on a case study that applies multispecies thinking to urban design.
- Consider how you could apply these insights to your research and innovation projects.
Module
TIER2 aims to better understand the causes, consequences and possible solutions of perceived poor levels of reproductivity of research across research contexts. With a focus on social, life, and computer sciences, as well as research publishers and funders, the project aims to increase awareness, build capacity, and propose innovative solutions sensitive to varied research cultures. Central to its approach are eight Pilot activities designed to develop, implement, and evaluate new reproducibility-related tools and practices.
Module
After completing this session, you will:
- Understand the concept of open science and explain its importance in the context of modern research practices.
- Explain the principles of open access and the benefits of making research outputs freely available to the public.
- Develop a comprehensive research data management plan (DMP) that addresses the organization, storage, and sharing of research data.
- Apply the FAIR data principles (Findable, Accessible, Interoperable, Reusable) to ensure that research data is properly managed and shared.
- Critically evaluate the impact of open science practices on research integrity, collaboration, and innovation.
Module
This instruction provides you with an overview of all the necessary steps that you will need to take to organize a VIRT2UE training.
Module
Gereğinden fazla dürüst olmak diye bir şey mümkün müdür? Bu alıştırma, araştırma doğruluğu (AD) ile alakalı temel erdemlere ilişkin ahlaki duyarlılık geliştirmeye yardımcı olmaktadır. Bu alıştırmada özellikle belirli erdemlerin doğasında var olan ahlaki muğlaklık ve bu muğlaklığın somut araştırma pratiklerinde kendini nasıl gösterdiği üzerinde durulmaktadır.
Module
This introductory micromodule explores the concept of Planetary Health as a framework linking human well-being with the state of natural systems. By the end of the module, participants should be able to:
- Explain how environmental degradation affects human health through the framework of planetary boundaries
- Identify the disproportionate effects of climate change on different populations.
- Reflect on the ethical implications of environmental injustices.
- Relate the concept of planetary health to research responsibilities.
Module
This micromodule introduces participants to podcasting as a format for research communication.
By the end of this module, participants will be able to:
· Explain how podcasting works as an audio-based communication format
· Describe how structure and delivery influence listener understanding
· Identify common podcast formats and their characteristics
· Recognise key elements of planning, recording, and sharing a podcast
· Develop a simple podcast idea based on audience, topic, and format