Chair: Marco Aiello, University of Stuttgart (Germany) [Slides]

14:00 - 14:30 Panellists' sharing

• "Software as a Service through the Cloud: who is responsible for what emissions?" by Vasilios Andrikopoulos, University of Groningen (the Netherlands) [Slides]
• “Environmental Impact of Deep Neural Network Training” by Kawsar Haghshenas, University of Groningen (the Netherlands) [Slides]
• "Embedding Sustainability into Third Level Education to meet Sustainable Development Goals" by Brian Keegan, TU Dublin (Ireland) [Slides]

14:30 - 15:30 Open discussion with panellists, moderated by Marco Aiello, University of Stuttgart
with additional contributions from Green ICT Working Group member: Rafael Capilla, Rey Juan Carlos University, Spain. [Slides]

15:30 - 16:00 Wrap up and next steps towards a green ICT agenda

16:05 - 17:20 Turning Data into Information: driving changes with IE Data Portal

• "Informatics Higher Education in Europe: A Data Portal and Case-Study", Elisabetta di Nitto, Politecnico di Milano (Italy) [Slides]
• “Behind-the-scenes of the IE Data Portal”, Svetlana Tikhonenko, Informatics Europe (Switzerland) [Slides]

17:20 - 17:50 Joint work by participants

17:50 - 18:00 Wrap up and next steps

16:00 - 16:05 Welcome by the session chairs

16:05 - 17:25 Informatics Life-long learning: the industry perspective 

• "Industry and Academia Collaboration - from a Sony Perspective" by Faisal Kamran, Principal Technology Analyst, SONY  [Slides]
• "Innovate Through Science – Life-long Learning in Company Research" by Michael Gienger, Chief Scientist, Honda Research Institute  [Slides]
• "The Cisco Networking Academy: Powering an Inclusive Future for All" by Elizabeth Barr, Business Development Manager, CISCO Networking Academy, UK&I, CISCO [Slides]

17:25 - 17:55 Academia-Industry way forward - panel discussion

17:55 - 18:00 Closing

09:00 - 09:05 Welcome by the session chairs

09:05 - 10:30 Fostering & Supporting Data-Driven Start-ups in Academia

• "Creating and nurturing data science-based and AI-driven businesses" by Laura Bernal & Katy Guthrie, Edinburgh Innovations (UK) [Slides]
• "From research lab to startup: Navigating the ethical AI journey" by Brian Hills, The DataLab  [Slides]
• "The entrepreneurship journey at TUM" by Marisa Schneider, UnternehmerTUM GmbH (Germany)  [Slides]
• Q&A Session

10:30 - 11:00 Coffee Break

11:00 - 11:40 Successful Stories

• "From start-up to scale-up and exit: lessons learned from 30 years of building and selling technology companies in transactions round the world" by David Farquhar, Intelligent Growth Solutions Limited (UK)  [Slides]
• "Minecraft and other stories: The story of building 4J Studios" by Chris Van der Kuyl, 4J Studios (UK)  

11:40 - 12:10 The Role of Investment & Fundraising

• "Why investment matters - from an Edinburgh perspective" by Andrea Young, Old College Capital (UK)  [Slides]
• "Why investment matters - from a Scotland perspective" by Kerry Sharp, Scottish Enterprise (UK) [Slides]

12:10 - 12:40 Panel discussion

12:40 - 12:45 Closing

12:40 - 13:30 Lunch

09:00 - 09:30 "Finding the Quantum Advantage" by Elham Kashefi, The National Quantum Computing Centre (UK) [Slides]

09:30 - 10:00 "Large Language Models" by Mirella Lapata, University of Edinburgh (UK) [Slides]

10:00 - 10:30 "Big data in life sciences, from theory to applications" by Stefano Ceri, Politecnico di Milano (Italy) [Slides]

10:30 - 11:00 "Beyond common Computing – Does Sustainability require new (and old) Alternatives to “classical” Digital Computing Machines?" by Jochen Viehoff, Heinz Nixdorf MuseumsForum (Germany) [Slides]

11:00 - 11:30 Coffee break

11:30 -12:30 Panel Discussion: "How do we ensure that informatics shapes the future that we hope for?"

Panel chair: Ewa Luger, University of Edinburgh (UK)

• Elham Kashefi, The National Quantum Computing Centre (UK)
• Jochen Viehoff, Heinz Nixdorf MuseumsForum (Germany)
• Mira L. Wolf-Bauwens, IBM Research Europe
• Stefano Ceri, Politecnico di Milano (Italy)

This year’s workshop focused on the skills and knowledge needed to turn your research career into a success story. The workshop program covered subjects like leadership styles, vision and best practices for planning sustainable growth in research careers, as well as different perspectives on success and the importance of networking. Furthermore, we gave attendees the opportunity to learn from established researchers from different career paths about the knowledge and skills that supported their successful trajectory of development and growth, throughout all stages of their careers. As a result of the workshop, we expected participants to devise a research career plan. This happened in two stages:

• before the workshop: the ECR attendees received reading material and be asked to prepare a description of their current vision of a research career, throughout all its stages;
• during the workshop: participants had the opportunity to update their vision board based on what they learned during the sessions from the interactions with the panellists and peers.

Attendees of the workshop also had the chance to participate in the traditional ECSS poster session, the place to share and highlight your research with all ECSS participants and broaden your research network. Participants received a certificate of attendance at the end of the workshop and poster presenters be listed in the dedicated section of the program.

11:00 - 11:05 Welcome and Introduction

11:05 - 12:30 Session 1: “A Fresh Approach to Research Leadership" by Sara Shinton, University of Edinburgh (UK) [Slides]

12:30 - 13:30 Lunch

13:30 -15:30 Session 2: "How to turn a research career into a success"
A panel of established researchers from academia and industry shared their insights on the reasons for their successes in research, research funding, their research career, or their company/start-up. The session also included a discussion between the audience and the following panellists.

• Marco Aiello, University of Stuttgart (Germany)  [Slides]
• Manuel Carro, Technical University of Madrid/IMDEA Software Institute (Spain) [Slides]
• Victor Lomüller, CodePlay (UK)
• Dympna O'Sullivan, TU Dublin (Ireland) [Slides]
• Ambrish Rawat, IBM Research Europe (Ireland)

15:30 - 16:00 Coffee break

16:00 - 17:30 Session 3: "Sustainable growth in research career"
Round table discussions between the workshop participants and the panel speakers were held in small groups. During these discussions, participants had the opportunity to review their career vision board in interaction with both the panellists and peers.

18:15 - 20:30 Welcome Cocktail including the Early Career Researchers Poster Session

Featured Posters:

• "Automated Identification and Analysis of Structures in Large-scale Electron Microscopy Images" by Anusha Aswath, University of Groningen (the Netherlands) [Poster]
• "Machine Learning Predictive Models Applied to COVID-19 Datasets to Estimate the Infection Risk in Specific Geographic Regions" by Diogen Babuc, West University of Timisoara (Romania) [Poster]
• "Qualitative insights into abstraction skills from exam scripts" by Julia Crossley, City University of London (UK) [Poster]
• "Self-Adaptive Smart Grids: A Case Study on EV Charging Stations" by Vick Dini, Politecnico di Milano (Italy) [Poster]
• "ChatterGlove - A healthcare appliance for speech/hearing impaired individuals" by Theodor-Radu Grumeza, West University of Timisoara (Romania) [Poster]
• "Empowering Women in the ICT Sector: Addressing Gender Inequality in Albania and the Wider Western Balkans" by Elva Leka, Polytechnic University of Tirana (Albania) [Poster]
• "An Eternal Dilemma Resolved: The Choice Between Pure Reasoning and Raw Performance" by Anton Lorenzen, University of Edinburgh (UK) [Poster]
• "Challenges and Strategies of Women in STEM. Gender Balance - Albanian Case." by Olgerta Idrizi, Mediterranean University of Albania (Albania) & Miranda Harizaj, Polytechnic University of Tirana (Albania) [Poster]
• "Building A National Spatio-Temporal Datacube" by Alexandru Munteanu, West University of Timisoara (Romania) [Poster]
• "Enabling Efficient Exploration of Linux Configuration Space with Incremental Build" by Georges Aaron Randrianaina, IRISA Rennes (France) [Poster]

09:00 - 10:30 Session 1: AI and the practice of teaching Software Engineering

• "Software Engineering Education in the Era of Large Language Models: Promises and Perils"
  by Massimiliano Di Penta, University of Sannio (Italy)  [Slides]
• "Teaching software engineering for AI-enabled systems" by Filippo Lanubile, University of Bari (Italy) [Slides]

10:30 - 11:00 Coffee break

11:00 - 12:30 Session 2: The impact of AI on Informatics curricula and educational practices

• "Benefits, risks, and challenges of AI in informatics education" by David López, Scientific Society of Computing of Spain/Universitat Politècnica de Catalunya (Spain)  [Slides]
• "Should We Still Teach 'Programming'?" by Thomas Gross, ETH Zurich (Switzerland)  [Slides]

12:30 - 14:00 Lunch

14:00 - 15:30 Session 3: The future of Informatics research evaluation

• "Open science and research assessment: Which agenda should the informatics community push forward?"
  by Pierre Paradinas, CNAM/SIF (France) & Laurent Romary, Inria (France)  [Slides]

15:30 - 16:00 Summary and next steps

• Angela Fan, Beliz Gokkaya, Mark Harman, Mitya Lyubarskiy, Shubho Sengupta, Shin Yoo, Jie M. Zhang: Large Language Models for Software Engineering: Survey and Open Problems https://doi.org/10.48550/arXiv.2310.03533
• Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John C. Grundy, Haoyu Wang: Large Language Models for Software Engineering: A Systematic Literature Review. https://doi.org/10.48550/arXiv.2308.10620
• Trevor Stalnaker, Nathan Wintersgill, Oscar Chaparro, Massimiliano Di Penta, Daniel M. Germán, Denys Poshyvanyk: BOMs Away! Inside the Minds of Stakeholders: A Comprehensive Study of Bills of Materials for Software Systems. CoRR abs/2309.12206 (2023)  (to appear at ICSE 2024) https://doi.org/10.48550/arXiv.2309.12206

Provided by Filippo Lanubile for Session 1:

• D. Sculley, et al. (2015). Hidden technical debt in machine learning systems. Advances in neural information processing systems, 28. https://proceedings.neurips.cc/paper_files/paper/2015/hash/86df7dcfd896fcaf2674f757a2463eba-Abstract.html
• A. Saleema, et al. “Software engineering for machine learning: A case study.” Int. Conf. on Software Engineering (ICSE), 2019. https://doi.org/10.1109/ICSE-SEIP.2019.00042
• C. Kästner and E. Kang, "Teaching software engineering for Al-enabled systems", 2020 IEEE/ACM 42nd International Conference on Software Engineering: Software Engineering Education and Training (ICSESEET), pp. 45-48, 2020. https://doi.org/10.1145/3377814.3381714
• F. Lanubile, S. Martínez-Fernández and L. Quaranta, "Teaching MLOps in Higher Education through Project-Based Learning," 2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET), Melbourne, Australia, 2023, pp. 95-100, https://doi.org/10.1109/ICSE-SEET58685.2023.00015

Provided by David López for Session 2:

• F.J. García-Peñalvo, F. Llorens-Largo, and J. Vidal. (2024). The new reality of education in the face of advances in generative artificial intelligence. RIED-Revista Iberoamericana de Educación a Distancia, 27(1). Online first: https://revistas.uned.es/index.php/ried/article/view/37716/27914
• T. Wang and E. C. K. Cheng, "An investigation of barriers to Hong Kong K-12 schools incorporating Artificial Intelligence in education," Computers and Education: Artificial Intelligence, vol. 2, art. 100031, 2021. doi: 10.1016/j.caeai.2021.10003

• How would code review and quality assurance change when adopting LLM-based recommenders in software development? How would this impact on Software Engineering education?

• How to cope with intellectual property problems related to using artefacts generated by LLMs in existing software systems? What about software bills of material?

• How a software engineering course (and project) would look like in the era of LLMs?

Suggested by Filippo Lanubile for his talk "Teaching software engineering for AI-enabled systems" in Session 1:

• How much a course of SE for AI would have to change if it is aimed at students with no knowledge of SE or, conversely, students with no knowledge of AI? Which basic knowledge in SE or AI is required?

• How realistic should project work be to experience the challenges practitioners face in the workplace?

• How to cope with the choice between the many tools and the rapid changes in the offer? Should we favour commercial platforms with educational licenses or open-source tools?

To be covered by David López for his talk "Benefits, risks, and challenges of AI in informatics education" in Session 2:

• What needs do students (and academics) in informatics studies have regarding the disruptive emergence of AI?

• Do we properly address the needs of ethics and computational thinking in informatics studies?

• Perhaps the time has come to make a profound change in the curriculum. How can we approach it? What resistance will there be?

• What teaching and assessment methods will we need? Or were they already needed and AI has just shown us?

• See full presentation abstract here.