Third Doctoral Summer School in Data Science, Accounting & Management - Cambridge July 6-11, 2025

Teaching Third Doctoral Summer School in Data Science, Accounting & Management - Cambridge July 6-11, 2025

Third Doctoral Summer School in Data Science, Accounting & Management - Cambridge July 6-11, 2025

Artificial Intelligence: Opportunities, Perspectives, and Risks in Science and Technology, Biomedicine, Management and Economics, Political and Social Sciences, and Global Security


Third Doctoral Summer School in Data Science, Accounting & Management

On

Artificial Intelligence: Opportunities, Perspectives, and Risks in Science and Technology, Biomedicine, Management and Economics, Political and Social Sciences, and Global Security

Cambridge, UK July 6-11, 2025

Department of Computer Science and Technology & Wolfson College, University of Cambridge

Course aim

The interdisciplinary summer school titled Artificial Intelligence: Opportunities, Perspectives, and Risks in Science and Technology, Biomedicine, Management and Economics, Political and Social Sciences, and Global Security aims to: foster interdisciplinary understanding of the transformative potential and challenges of Artificial Intelligence (AI) across diverse fields, including science and technology, biomedicine, management, political and social sciences, and global security.

Promote critical analysis of the ethical, societal, and economic implications of AI applications, fostering a balanced perspective on its benefits and risks.

Provide advanced methodological approaches to integrate AI into academic research, emphasizing innovative and rigorous frameworks for addressing complex problems.

Encourage collaboration and networking among PhD students and experts from different disciplines to address AI-driven challenges through a multidisciplinary approach.

Enhance awareness of policy, governance, and security concerns associated with AI, preparing participants to contribute to the development of responsible and sustainable AI solutions.

DIRECTORS

  • Roberto Tagliaferri, University of Salerno;
  • Pietro Liò, University of Cambridge and University of Rome “La Sapienza”.

ORGANIZER INSTITUTION

  • Department of Management & Innovation Systems, University of Salerno, Italy.

CO-ORGANIZERS INSTITUTIONS

  • Department of Computer Science, University of Cambridge, UK;
  • DCU Business School, Dublin City University, Ireland;
  • Department of Medical and Surgical Sciences, University of Catanzaro “Magna Graecia”, Italy;
  • Department of Sciences and Technologies, University of Naples “Parthenope”, Italy;
  • Department of Statistics, Informatics and Mathematics, Public University of Navarra, Spain;
  • College of Business, Public Policy and Law, University of Galway, Ireland;
  • Navarra Artificial Intelligence Research Center, Pamplona, Spain.

LECTURERS

  • dr. Francesco Bardozzo, University of Salerno, “From Score to Screen: Music Production in the AI Era”
  • prof. Adrian Byrne, University College Dublin, “AI (corporate) governance: explainable AI and auditing”, “Political and social aspects of AI: fairness and bias detection”
  • prof. Angelo Ciaramella, University of Naples “Parthenope”, “Explainable AI (XAI)”
  • prof. Marisol Gomez Fernandez, Public University of Navarra, “Explainable AI: How Regulations Meet Reality, and vice versa”
  • dr. Mona Isazad Mashinchi, University of Galway, “Ethics in AI”
  • prof. Pietro Liò, University of Cambridge, “Geometrical and Topological Deep Learning”, “Higher Order Deep Learning”
  • prof. Theo Lynn, Dublin City University, “Assurance, Accountability, and Acceptance: Navigating Responsible AI, Trustworthy AI, and Psychological Trust”
  • prof. Carlos Lopez Molina, Public University of Navarra, “Performance evaluation for learning systems: Some inconvenient truths”
  • dr. Nicola Palladino, University of Salerno, “AI Governance and Regulation: Comparing EU, US, and China’s Models and global initiatives”
  • prof. Antonino Staiano, University of Naples “Parthenope”, “AI in Agrifood and Environment”
  • prof. Roberto Tagliaferri, University of Salerno, “Introducing AI: a methodological C historical overview”, “Artificial Intelligence for Biomedical Imaging: Microscopy Applications and Challenges”
  • dr. Tom F.A. Watts, Royal Holloway, University of London, “AI and Global Security”.

PROGRAMME

Day 0 Sunday 6th July, 2025

Arrival dinner, by 18.00

Wolfson College, University of Cambridge

Day 1 Monday 7th July, 2025

9.00-12.20 Wolfson College

  • Mona Isazad Mashinchi, University of Galway, “Ethics in AI”
  • Angelo Ciaramella, University of Naples “Parthenope”, “Explainable AI (XAI)”

14.00-17.20 Department of Computer Science, University of Cambridge

  • Pietro Liò, University of Cambridge, “Geometrical and Topological Deep Learning”
  • Carlos Lopez Molina, Public University of Navarra, “Performance evaluation for learning systems: Some inconvenient truths”

Day 2 Tuesday 8th July, 2025

09.00-12.20 Wolfson College

  • 09.00-10.30 - Theo Lynn, Dublin City University, “Assurance, Accountability, and Acceptance: Navigating Responsible AI, Trustworthy AI, and Psychological Trust”
  • 10.50-12.20 - Roberto Tagliaferri, University of Salerno, “Introducing AI: a methodological historical overview”

14.00-17.20 Department of Computer Science, University of Cambridge

  • 14.00-15.30 - Pietro Liò, University of Cambridge “Higher Order Deep Learning”
  • 15.50-17.20 - Antonino Staiano, University of Naples “Parthenope”, “AI in Agrifood and Environment”

Day 3 Wednesday 9th July, 2025

09.00-12.20 Department of Computer Science, University of Cambridge

  • 09.00-10.30 - Nicola Palladino, University of Salerno, “AI Governance and Regulation: Comparing EU, US, and China’s Models and global initiatives”
  • 10.50-12.20 - Roberto Tagliaferri, University of Salerno, “Artificial Intelligence for Biomedical Imaging: Microscopy Applications and Challenges”

Day 4 Thursday 10th July, 2025

09.00-12.20 Wolfson College

  • 09.00-10.30 - Adrian Byrne, University College Dublin, “AI (corporate) governance: explainable AI and auditing”
  • 10.50-12.20 - Marisol Gomez Fernandez, Public University of Navarra, “Explainable AI: How Regulations Meet Reality, and vice versa”

14.00-17.20 Department of Computer Science, University of Cambridge

  • 14.00-15.30 - Adrian Byrne, University College Dublin “Political and social aspects of AI: fairness and bias detection”
  • 15.50-17.20 - Francesco Bardozzo, University of Salerno, “From Score to Screen: Music Production in the AI Era”

Day 5 Friday 11th July, 2025

10.00-11.30 Wolfson College

  • 10.00-11.30 - Tom F.A. Watts, Royal Holloway, University of London, “AI and Global Security”

WHY SHOULD YOU ATTEND?

This summer school offers a unique opportunity for PhD students from diverse disciplines to explore the transformative impact of Artificial Intelligence (AI) on their fields of study. Here’s why you should join: science and Technology Students: Gain insights into cutting-edge AI methodologies and their applications, enhancing your ability to innovate and solve complex technical problems.

Biomedicine Students: discover how AI is revolutionizing healthcare, from personalized medicine to diagnostics, and learn how to integrate these tools into your research.

Management and Economics Students: Explore how AI is reshaping business strategies, economic modeling, and decision-making processes, preparing you for leadership in a data- driven world.

Political and Social Sciences Students: Examine the societal implications of AI, including governance, ethics, and policy, to critically assess its role in shaping global and local dynamics.

Global Security Students: Understand the risks and opportunities of AI in security, from cybersecurity to geopolitical strategies, equipping you to address emerging challenges.

By attending, you will not only expand your knowledge but also connect with peers and experts across disciplines, fostering collaborations that will empower you to tackle interdisciplinary challenges in your research and beyond. This is your chance to become part of a forward-thinking academic community driving innovation and responsible AI use.

SCIENTIFIC ORGANIZING COMMITTEE

  • Francesco Bardozzo, University of Salerno, Italy
  • Mario Cannataro, University of Catanzaro “Magna Graecia”, Italy
  • Rosaria Cerrone, University of Salerno, Italy
  • Angelo Ciaramella, University of Naples “Parthenope”, Italy
  • John Cullinan, University of Galway, Ireland
  • Marisol Gomez Fernandez, Public University of Navarra - Navarra Artificial Intelligence Research Center, Spain
  • Carlos Lopez Molina, Public University of Navarra, Spain
  • Theo Lynn, Dublin City University, Ireland
  • Ornella Malandrino, University of Salerno, Italy
  • Giovanni Montana, University of Warwick, UK
  • Annalisa Occhipinti, Teesside University, UK
  • Riccardo Palumbo, University "G. d'Annunzio" Chieti – Pescara, Italy
  • Pierangelo Rosati, University of Galway, Ireland
  • Mauro Santaniello, University of Salerno, Italy
  • Maria Rosaria Sessa, University of Salerno, Italy
  • Antonino Staiano, University of Naples “Parthenope”, Italy

LOCAL ORGANIZING COMMITTEE

  • Gerardo Ferrentino, University of Salerno
  • Riccardo Tipaldi, University of Salerno

Media

Locandina evento