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In this interview Anna Kinde discusses her doctoral research into the arrangement and use of space in medieval cathedrals in Central Europe.  She approaches this topic on the premise that people and communities are reflected in and by their built environment, including non-domestic and religious spaces, and thus by studying the built environment helps us to understand the societies that built them.   As numbers of central European cathedrals have been destroyed or extensively rebuilt, Anna’s analysis of the use of space includes liturgical instructions and secular records of activities such as trials and signing important documents that occurred within the space of cathedrals.Anna also notes how good structural design enhances feeling of personal well-being and positive social interaction.  This can be seen and felt within many medieval ecclesiastical buildings.This podcast is based on archive material from the CEU Medieval Radio, an initiative of the doctoral students of the Department of Historical Studies.  It forms part of a series for the CEU Department of Historical Studies and MECERN.

In this interview László Bartosiewicz, Emeritus Professor of Osteoarchaeology at Stockholm University, discusses his recent research, undertaken with Erika Gál, on hippophagy, the eating of horse meat, in medieval Hungary. He considers their various sources of information and how they compare the archaeological occurrence of horse bones and any cutting marks on those bones, to known, but sometimes ambiguous references in written sources to hippophagy.  This analysis demonstrates that people in the Carpathian basin ate horse meat, as well as keeping horses for many other purposes.  He also shows how the horse bones were used to make skates, runners for sledges and even weights for fishing nets.László discusses the cultural implications of hippophagy in terms of social status, ethnic background and geographic location.  He notes that while the Christian church did not out-right ban eating horse meat, it actively discouraged it, possibly because hippophagy may have been linked to earlier, non-Christian, religions and their celebrations.  He notes that in this way, the foods that people eat help to define them as ‘one of us’ or ‘the other’ in terms of social acceptability.This podcast is part of a series of interviews covering central Europe in the medieval period for MECERN and CEU Department of Historical Studies.

Puzzle Pieces: AI, Analytics and the First Real JobToo many data professionals are letting AI do their thinking. The result is broken pipelines, misaligned projects, and careers that stall at the first real challenge. Learning to use AI as a data analyst effectively, without surrendering the strategic judgement that makes the output valuable, is the capability that separates analysts who advance from those who plateau. In the first conversation of this series, we look at where AI genuinely accelerates analytics work, where it quietly leads you down the wrong methodological path and why adaptability is the most important attribute any new analytics graduate can develop. Host Eduardo Ariño de la Rubia is joined by Seneca Miller, a Data Analytics Scientist at eMedia Monitor in Vienna. She is a 2025 graduate of CEU’s Master of Science in Business Analytics programme and winner of the cohort’s Best Capstone Award.  THINGS WE SPOKE ABOUT- Transitioning from marketing into analytics as a working professional- Being a company’s first data hire with full project ownership- How AI accelerated growth while creating knowledge blind spots- When to step back from AI and rely on your own judgement- What the MSBA should teach more and less of in the future  GUEST DETAILSSeneca Miller is a Data Analytics Scientist at eMedia Monitor, a media monitoring company based in Vienna. A 2025 graduate of CEU’s Master of Science in Business Analytics programme, she won the cohort’s Best Capstone Award and joined eMedia Monitor as their first dedicated analytics hire. Reporting directly to the CEO, she designs and delivers data projects from the ground up, from NLP pipelines to topic classification models.   QUOTES- “I can look at my project and say this from start to finish was what I did.” - Seneca Miller- “People will outsource their thinking to AI. And that’s where people get in trouble.” - Seneca Miller- “You might have linear growth, but this transforms everything to exponential growth.” - Seneca Miller- “If I didn’t have this course, I would just have a bunch of puzzle pieces still sitting there that I’d still be trying to put together myself.” - Seneca Miller- “It’s not the technical aspect of the work anymore that if you can write code, if you can put together a pipeline, it’s do you understand the business needs the business context, what that business wants, because every business incentivizes different things.” - Seneca Miller KEYWORDS #DataAnalytics #AnalyticsCareer #AITools #DataScience #MsbaProgram

Signal Inflation: When Everyone Aces the Test But Nobody Learned AnythingToday our conversation explores why AI did not break academic assessment but made it impossible to verify, introduces the idea of signal inflation in technical fields and argues that sovereignty over decision-making is the one skill students must never outsource to a machine. We also reflect on how the MSBA curriculum at CEU will need to evolve and what a good relationship with AI looks like in research. Our host Eduardo Ariño de la Rubia is joined by Ulrich Wohak, a postdoctoral researcher in the Department of Economics at Central European University, where he teaches coding and data visualisation in the MSBA programme. He holds two MSc degrees from the Barcelona School of Economics and Vienna University of Economics and Business and previously worked as a competition economist for the British government. THINGS WE SPOKE ABOUT- From chef to competition economist: Ulrich's unlikely path into academia- Why AI empowers students but undermines academic assessment- Ulrich's AI stack and how he uses it in research- Maintaining sovereignty over decision-making in an AI world- Signal inflation, curriculum evolution, and the future of the MSBA  GUEST DETAILSUlrich Wohak is a postdoctoral researcher in the Department of Economics at Central European University, where he also teaches coding and data visualisation in the MSBA programme. He holds two MSc degrees from the Barcelona School of Economics and Vienna University of Economics and Business, and previously worked as a competition economist for the British government. His current research, conducted alongside CEU colleagues, focuses on how AI is reshaping the labour market.    QUOTES- "AI is such a cool product for students to engage more deeply with the material and to understand things maybe from a different angle. You know, it's a great learning tool, but it's also ripe for exploitation." - Ulrich Wohak- "I think one should be very aware of what one outsources to AI. And I think there are some things that one should not give up sovereignty over." - Ulrich Wohak- "I think students expect to learn very big ideas that deliver big results. But often I think what we're teaching is very small ideas that deliver big results." - Ulrich Wohak- "It's a signal inflation, if you want, rather than a signal erosion." - Ulrich Wohak- "I want to encourage them to use AI to empower themselves, not to outsource their thinking capacity." - Ulrich Wohak KEYWORDS #TeachingAnalytics #DataScience #AIEducation #AcademicIntegrity #HigherEducation

Think, Don't Just PromptOver-reliance on AI is quietly eroding the critical thinking and communication skills that data analytics careers are built on. Analysts who will thrive in the age of AI will be defined not by how well they can prompt a chatbot, but by how well they can think for themselves. Our guest shares how the problem-solving skills he built during the MSBA, transferred directly to learning a new coding language on the job. He tells us why he uses an internal AI tool daily yet reaches for it sparingly and what he sees as the one capability the programme should emphasise more: face-to-face presentation and communication in front of real people. Host Eduardo Ariño de la Rubia is joined in conversation with Ian Brandenburg, a 2024 graduate of the CEU Master of Science in Business Analytics programme. He is currently working as a data analyst and consultant in Vienna, Austria. With a background in business administration and early management experience gained during the COVID-19 pandemic, he brings a practical, people-first perspective to the world of data. THINGS WE SPOKE ABOUT- Transitioning from business management into data analytics- How MSBA problem-solving skills transferred to a new coding language at work- How AI is reshaping day-to-day work for data analysts- Knowing when not to use AI: context, high stakes, and judgment calls- What future MSBA graduates need to succeed in the age of AIGUEST DETAILSIan Brandenburg is a 2024 graduate of the CEU Master of Science in Business Analytics programme, currently working as a data analyst and consultant in Vienna, Austria. With experience spanning business administration, general restaurant management, and classical piano, Ian brings a distinctly human perspective to the field of data analytics and is particularly focused on the role of critical thinking and communication as AI reshapes the profession. QUOTES- "There's a reason why we learn Python or learn coding in our program. It's really the problem-solving skills that we're going for, not to memorize the syntax." - Ian Brandenburg- "We as data analysts, we are trying to convince our stakeholders that the solution that we have in mind is the effective solution that will take us to the next level." - Ian Brandenburg- "I'm asking myself am I going to be able to give the AI enough context to give me a solution that is well rounded and sustainable?" - Ian Brandenburg- "Critical thinking is incredibly important. That is not a skill that should go down. In fact, as along with communication should go up with Chat GPT coming in." - Ian Brandenburg- "Prompt engineering isn't going to mean success. And I think that that's something that's really important for people to understand about where we are with AI." - Ian Brandenburg KEYWORDS #CriticalThinking #AnalyticsCareers #BusinessAnalytics #DataAnalyst #AiInTheWorkplace

Privacy and the AI StackBuilding the right data infrastructure before you find product-market fit is a trap. So is delegating the thinking to AI before you understand the system it is building for you. The question AI in data engineering education must answer now is not how to teach more tools. It is how to teach students to know what is sufficient, and when to push back on AI-generated results. In this episode of our series, our guest explores how ten years of teaching at CEU has shifted his focus from courseware volume to hands-on depth, how AI has simultaneously delighted and concerned him in the classroom and what universities are getting dangerously wrong about how they try to regulate student AI use. Our host Eduardo Ariño de la Rubia is joined by Zoltan Toth, a Professor of Practice in the MSBA programme at Central European University. A data engineer and educator with twenty years of experience, he is a bestselling Udemy instructor with more than 60,000 courses sold and a board member of the Vienna Data Science Group.  THINGS WE SPOKE ABOUT- From web developer to CEU faculty: Zoltan's twenty-year journey into data engineering- Why hands-on practice outperforms courseware volume in data education- The AI hackathon moment that was both impressive and alarming- Why debugging skills are now worth more than implementation skills- What universities are getting wrong about regulating student AI use GUEST DETAILSZoltan Toth is a Professor of Practice in the MSBA programme at Central European University, where he teaches cloud computing, modern data platforms, and AI engineering. He is a bestselling Udemy instructor with more than 60,000 courses sold, a former solutions architect and instructor for Databricks, and a board member of the Vienna Data Science Group, which organises meetups for data professionals across Austria. QUOTES- "I think that there is a danger there. So if you integrate some code, you still want to understand it." - Zoltan Toth- "What we should meditate on is what is the kind of work that we delegate to AI, and what is the kind of work where we need to accept the cognitive pain of going through thinking and solving and just sweating it through." - Zoltan Toth- "What we need instead is to give students a great mental model about how everything is built, so that they can take a look at the problems from an architectural point of view." - Zoltan Toth- "We should embrace that we need to suffer through a few problems if we want to understand those problems." - Zoltan Toth- "I think we are underestimating how much AI our students use, and we are overestimating our power, how much we can regulate how much AI students should use." - Zoltan Toth KEYWORDS #DataEngineering #AIEducation #TeachingAnalytics #DebuggingSkills #HigherEducation

SHOW NOTES Ask the Right QuestionsEntering the analytics profession and discovering that 80 per cent of the job is cleaning dirty data is a reality check that no course prepares you for. Some say that analysts who thrive in an AI-augmented data science career, will be defined not by their ability to prompt a model, but by their capacity to ask the right questions and critically evaluate the answers. Today we learn how the team at RBI is building knowledge graphs to ground LLMs in real organisational context, why SQL coding skills are declining in value while critical analysis is rising and what should change about the MSBA curriculum, including a stronger focus on ethics, data lineage, and AI-augmented workflows. We are joined by Naida Dzigal, a 2023 graduate of the CEU Master of Science in Business Analytics programme and IT expert at Raiffeisen Bank International. With a PhD in technical physics and prior experience as a nuclear specialist at the International Atomic Energy Agency, Naida brings a rare combination of scientific rigour, multilingual diplomacy, and real-world analytics leadership to this conversation.  THINGS WE SPOKE ABOUT- From nuclear physics to banking analytics via the MSBA- Dirty data, frustration tolerance and the analytics reality check- Using AI for 80 per cent of the working day at RBI- Building knowledge graphs and context layers to ground LLMs- Redesigning the MSBA curriculum for an AI-augmented analytics world GUEST DETAILSNaida Dzigal is an IT expert at Raiffeisen Bank International (RBI), where she is part of a strategic data transformation team reshaping how data is managed across the bank's entire network, influencing data processes that affect billions of euros annually. A physicist by training, she holds a PhD in technical physics from Technical University Vienna and previously served as a nuclear specialist at the International Atomic Energy Agency. She completed her Master of Science in Business Analytics at CEU in 2023 and speaks five languages, bringing scientific rigour and cross-cultural professional experience to the field of data and AI. QUOTES- "I was just so surprised that I was getting paid for essentially cleaning up data and spending maybe 20% of my time actually doing real analytical work." - Naida Dzigal- "The biggest experts always have the highest frustration tolerance." - Naida Dzigal- "I think where we fail most of the time is in our critical analysis of the answer." - Naida Dzigal- "LLMs are very powerful. AI in general is very powerful, but it lacks context." - Naida Dzigal- "The students that will succeed are the students who are able to ask the right questions." - Naida Dzigal KEYWORDS #AiDataScience #AnalyticsCareer #KnowledgeGraphs #DataTransformation #BusinessAnalytics

Taste Over TechniqueTeaching data analytics in the age of AI demands a fundamental rethink of what students need to learn, how they are assessed, and what analytical competence actually means when AI can write the code, run the models, and produce the results. This episode explores the rapid collapse of traditional assessment, shares why taste may be the most valuable skill a data analyst can develop, and explains why working in teams of humans and AI agents is the direction the entire profession is heading. Our guest also reflects on how his Data Analysis with AI course at CEU has had to be redesigned with each passing semester and what universities must do differently if they are to stay relevant.Our guest is Gabor Bekes, Professor of Economics and Programme Head of the MSBA at Central European University, Budapest. An applied economist whose research spans international trade, open source software collaboration, and industrial policy, Gabor is co-author of Data Analysis for Business, Economics, and Policy, published by Cambridge University Press, and has been teaching data analysis for over 15 years.  THINGS WE SPOKE ABOUT- Why asking good questions matters more than choosing the right method- The Data Analysis with AI course and what students discover- How rapidly improving AI models overhauled the curriculum- Taste as the emerging signal of analytical competence- Zero-tech exams, dark factories, and the future of curriculum design GUEST DETAILSGabor Bekes is Professor of Economics and Programme Head of the MSBA at Central European University, Budapest. An applied economist whose research spans international trade, open source software collaboration, and industrial policy, he is co-author of Data Analysis for Business, Economics, and Policy (Cambridge University Press) and has taught data analysis for over 15 years.

In this interview, Michał Machalski discusses his recent thesis research into rulers, subjects, and loyalty in 13th Century Poland’.   The thirteenth century in Poland was a period of intense turmoil and fragmentation, with many of the nobility battling for supremacy, and for the right to be King, while the Teutonic Knights made increasing incursions into Polish lands.In this complex and fractured period, Michał looked at aspects of loyalty between the rulers from the local Piast dynasty and their subjects; how this loyalty was expressed, enacted, enforced, rewarded, and when lacking, how disloyalty was punished.  Although loyalty within the church was beyond the scope of his research, Michał explains how senior Bishops became arbiters of loyalty and guarantors of oaths.  Michał shows how through declarations and demonstrations of loyalty, the Polish society was held together and enabling Kazimierz III the Great to gain the throne and unite Poland. This podcast is part of a series of interviews covering central Europe in the medieval period for MECERN and CEU Department of Historical Studies.Image - Duke of Wroclaw & Krakow Henryk IV Probus, from Codex Manesse 1305-40 (27668147667)

The Collaborative Seminar Cultures of Hate and Oppression was coordinated to address the complexities of these topics that are of urgent global importance in our era of continuing discrimination, forced migration, socially sanctioned violence, and war.2026

The Collaborative Seminar Cultures of Hate and Oppression was coordinated to address the complexities of these topics that are of urgent global importance in our era of continuing discrimination, forced migration, socially sanctioned violence, and war.2026

In this episode of the Protecting Academia at Risk podcast, we speak with Volha Davydzik, a Belarusian researcher working at the intersection of social and political philosophy, feminist theory, and protest studies.Drawing on her experiences across Belarus, China, and Germany, Volha reflects on academic displacement, mobility, care, solidarity, and the challenges of rebuilding an academic life in exile. The conversation explores the hidden labour of migration, the tensions between academic mobility and personal stability, and the ways in which gender and caregiving shape academic careers.The discussion also delves into Volha’s research on the 2020 Belarusian protest movement, examining infrastructures of care and solidarity, affective politics, protest art, and forms of collective resistance under authoritarianism. Together, we reflect on how care can function not only as a response to violence, but also as a political practice capable of sustaining collective life and imagining alternative futures.Volha Davydzik is a Belarusian researcher working in the fields of social and political philosophy, feminist theory, and protest studies. Her research focuses on the 2020 Belarusian protest movement, infrastructures of solidarity and care, affective politics, and forms of collective resistance under authoritarianism.Recent work:Davydzik, Volha. (2026). Choreography of Spaces and Bodies During Social Rebellion: the Case of the Belarusian Revolution. Journal of Belarusian Studies. https://doi.org/10.30965/20526512-12350039DAVYDZIK, Volia (2025) FROM UTOPIA TO VULNERABILITY: THE FEMALE BODY IN BELARUSIAN ART OF THE 20TH-21ST CENTURIES. URL: https://chrysalismag.org/project/female-body-in-belarusian-artDAVYDZIK, Volha. (2025). CYBERFEMINISM AND THE BELARUSIAN UPRISING: DIGITAL INFRASTRUCTURES, AFFECTIVE SOLIDARITY, AND POLITICAL IMAGINATION. Topos, (1), 226-243. https://journals.ehu.lt/index.php/topos/article/view/1486/1195DAVYDZIK, Volha, STEBUR Antonina. (2024) INVISIBLE NETWORKS: TECHNOLOGY’S DUAL ROLE IN CARE AND POLITICS IN BELARUS// https://jordanrussiacenter.org/blog/invisible-networks-technologys-dual-role-in-care-and-politics-in-belarus.DAVYDZIK, Volha, STEBUR Antonina. (2023) FEATURES AND EFFECTS OF THE DIGITAL TECHNOLOGIES IN THE BELARUSIAN PROTEST, Digital Icons, (22), 23-44.

In this episode of Protecting Academia at Risk, Elena Trifan speaks with researcher Venera Régent, WPZ Research, about universities living through war, armed conflict, and systemic crisis.The conversation explores the Erasmus+-funded project CLOUD HED - Disaster Resilience in the Higher Education Sector via a Cloud University Model, which investigates how higher education institutions adapt under conditions of disruption and uncertainty. Together, they discuss academic resilience, digital infrastructures, institutional survival, well-being, and the human relationships that sustain academic life in times of crisis.The episode also discusses the forthcoming volume Higher Education in Times of War and Crisis: Institutional Resilience, Responses, and Preparedness in Contexts of Armed Conflict and Systemic Disruption, expected to be published by Brill in late 2026.Listen to the Protecting Academia at Risk podcast series via the CEU Podcast Library:https://podcasts.ceu.edu/series/protecting-academia-risk-towards-new-policy-agenda-thriving-culture-higher-education-europeFollow Protecting Academia at Risk on Facebook and LinkedIn for future episodes and updates.The volume in press, Higher Education in Times of War and Crisis: Institutional Resilience, Responses, and Preparedness in Contexts of Armed Conflict and Systemic Disruption, explores how higher education systems respond to extreme disruption caused by war, displacement, destruction, and political instability. Through case studies ranging from Ukraine and Israel to World War II, the former Yugoslavia, and the anticipatory cases of Poland, and Latvia, the book examines institutional resilience, crisis preparedness, and continuity strategies in higher education.The volume is a deliverable of the Erasmus+-funded project Disaster Resilience in Higher Education Systems via a Cloud University Model, which investigates emergency-driven digital transformation in higher education and the conditions for resilient, crisis-sensitive teaching and learning in virtual environments. More information on the project can be found at https://www.cloud-hed.eu/ or via https://www.linkedin.com/showcase/cloud-hed/posts/?feedView=all .

Dorottya Uhrin is an assistant professor at the Eötvös Loránd University (ELTE) in Medieval History Department.  In this interview she discusses her on-going research into the phenomenon of the ‘virgin kings’ that occurred in the eleventh and twelfth centuries in Europe. Dorottya’s work focusses on Prince Emeric, the last surviving son of King Istvan I of Hungary who, according to his saintly legend, died a virgin.  She compares Emeric’s history and legend with those of the Holy Roman Emperor Henry II and the English king, Edward the Confessor, who were, again according to their saintly legends, ‘virgin kings’.  Dorottya notes that while they were all venerated for their perceived sanctity, the image of the ‘virgin king’ as a positive phenomenon was short lived and their popularity was limited.  This was possibly due to the lack of legitimate heirs, which for Hungary caused significant internal conflict, and for England eventually resulted in a foreign invasion.This podcast is part of a series of interviews covering central Europe in the medieval period for MECERN and CEU Department of Historical Studies.

What happens when academic freedom stops being a principle and becomes a daily negotiation?In recent years, discussions about academic freedom have expanded rapidly. And yet, many scholars, especially those early in their careers, continue to navigate increasing pressure without clear tools, support structures, or even a shared language to describe what is happening to them.This episode brings together Andrea Peto (CEU) and Benoît Josset (Rennes University), contributors to a Pocket Guide for Academics at Risk, developed within OPEN COST Action project mapping attacks on higher education across multiple national contexts - along with support from Democratization at stake? Comparing Anti-Gender Politics in CEE and NME countries (Antigender-Politics) COST Action.The Pocket Guide comes with an thourhouly thought out platform offering different solutions and support: https://academicresilience.eu/Drawing on empirical research and lived experience, the conversation moves beyond abstract debates to focus on practice:How do attacks on academic freedom actually unfold?What are the warning signs, before they become obvious?Why is self-censorship one of the most pervasive and least recognized forms of pressure?And what can academics realistically do when institutions fail to protect them?The episode also addresses questions that are often ignored in formal discussions: digital security, mental health, and the material conditions of academic work under increasing political and economic constraints.Rather than offering a checklist or easy solutions, the pocket guide, and this conversation, insist on something more uncomfortable but more useful: awareness, preparation, and collective thinking.Because the most dangerous assumption remains the same across contexts: that it cannot happen here.Produced as part of Protecting Academia at Risk project, with support from the Gerda Henkel Foundation.