Beyond ChatGPT:

How Can Europe Get Ahead in Generative AI?

Our goal is to facilitate a European brand of trustworthy, ethical AI that enhances Human capabilities and empowers citizens and society

  When? Thursday, May 25th (14:00 - 16:00)
  Where? Brussels, Belgium @ the European Parliament | Room A5G1

Paul-Henri Spaak Building, Rue Wiertz 60, 1047 Brussels, Belgium

  What? In-person event (by invitation) + Public Online Event (by registration)
  How to Register? Fill out this form to get the streaming link (Deadline: Tuesday, May 23rd)

Learn about the Meeting Outcomes

Agenda

 

The event is moderated by Ms. Lenneke Hoedemaker.

Please note that the agenda is subject to minor changes

 

14:00 Welcome and setting the stage: State of Play in European Regulation on Artificial Intelligence by Irena Joveva MEP, Committee on Culture and Education.
14:10 Welcome from ICT 48 AI Project Coordinators
  • Humane AI represented by Paul Lukowicz, DFKI.
  • ELISE represented by  Cees Snoek, University of Amsterdam, Netherlands.
  • TAILOR represented by Fredrik Heintz,  Linköping University, Sweden.
  • AI4Media represented by Ioannis Kompatsiaris, CERTH 
14:25 Scientific Foundations of Large Language Models (LLMs) by Hermann Ney, RWTH Aachen, Germany.
14:40 Panel on Industrial and Research Potential of AI in Europe

MODERATOR: Lenneke Hoedemaker, Moderator and Presenter.

  • Virginia Dignum, Professor in Responsible AI, Umea University, Sweden and the Scientific Director of WASP-HS.
  • Ieva Martinkenaite, Senior Vice President and Head of Research and Innovation, Telenor Group.
  • Francesca Rossi, IBM Fellow and AI Ethics Global Leader and AAAI President.
15:10 Message from the Co-Sponsoring Organisations
  • CLAIRE and EurAI are represented by Holger Hoos, RWTH Aachen University, Germany.
  • IRCAI-UNESCO and OECD views are represented by Marko Grobelnik, International Research Centre on Artificial Intelligence (IRCAI) under the auspices of UNESCO, Jozef Stefan Institute, Slovenia.
15:20 Panel on the Societal Impact and AI Policies in Europe

MODERATOR: Lenneke Hoedemaker, Moderator and Presenter.

  • Catelijne Muller, President and co-founder of ALLAI.
  • Brando Benifei, Member of the European Parliament.
  • Clara Neppel,  Senior Director of the IEEE European office.
  • Dino Pedreschi, Professor at the University of Pisa, Italy and GPAI member.
15:55 - 16:00 Closing remarks by Cécile Huet, Deputy Head of the Unit “Robotics and Artificial Intelligence Innovation and Excellence” at the European Commission
16:30 – 18:00 Social Reception: Networking and Informal Scientific Discussions (Attendance is in-person only by invitation. The location will be shared by email.)

What is the purpose of the HumaneAI European Parliament event?

We would like to suggest a half-day event on May 25th at the European Parliament, Paul-Henri Spaak Building, Rue Wiertz 60, 1047 Brussels, Belgium, titled Beyond ChatGPT: How can Europe get in front of the pack on Generative AI Models?, organized by a broad consortium from science and civil society, including the HumanE-AI-Net European Network of Centres of Excellence in Artificial Intelligence.

HumanE-AI-Net is a research network of leading European universities, AI institutes, and corporations funded by Future and Emerging Technologies (FET) and dedicated to benefiting people’s empowerment through the scientific and technological development of AI, in accordance with European ethical, social, and cultural values.

Other European partners and communities that support this event and will be involved in its organization are the International Research Centre on Artificial Intelligence (IRCAI) under the auspices of UNESCO, the Confederation of Laboratories for Artificial Intelligence in Europe (CLAIRE), and other ICT-48 networks such as TAILOR, AI4Media, and VISION, and language projects like ELG and ELE.

The Beyond ChatGPT aims to bring together AI experts, policymakers, and other stakeholders to demystify and critically examine some of the key concepts and concerns, and to provide an opportunity for a well-grounded discussion of the question of what needs to be done to ensure that European economies and societies will benefit from the development and deployment of AI technologies, such as LLMs.

Which questions will be addressed?

  1. To which extent does Europe have the capability and capacity to compete with US-based industries on LLMs and similarly impactful AI technologies?
  2. What can and must be done to ensure European competitiveness in this area?
  3. How can we best harness the opportunities afforded by the latest AI technologies for the benefit of European economies and societies? What role does the proposed AI Act play in this context?
  4. Which of the widely debated risks are real, and how should these be addressed? Is there a need for a moratorium or similar restrictions on research and innovation in key areas of AI?

What is the rationale?

Artificial intelligence has been an intense focus of public debate in recent years, and – following recent progress in so-called large language models (LLMs), such as ChatGTP – is now an area of increasingly vigorous economic activity and societal concerns.

Europe carries the responsibility of shaping the AI revolution. The choices we face today are related to fundamental ethical issues about the impact of AI on society, in particular, how it affects labor, social interactions, healthcare, privacy, fairness, and security. The ability to make the right choices requires new solutions to fundamental scientific questions in AI and human-computer interaction (HCI).

What is the vision?

This vision closely follows the ambitions articulated by the EC in its Communication on AI:  A European brand of AI that, by design, is trustworthy, adheres to European ethical, political, and social norms, and focuses on the benefit to European citizens as individuals, European society and the European economy.  At the heart of our vision is the understanding that those ambitions can neither be achieved by legislation or political directives alone nor by traditional research in established disciplinary “silos”. Instead, it needs fundamentally new solutions to core research problems at the Interface of AI, human-computer interaction (HCI), and social science, combining theory, real-world use cases, and innovation-oriented research.

What are we trying to achieve?

The HumaneAI community aims to develop the scientific foundations and technological breakthroughs needed to shape the ongoing artificial intelligence (AI) revolution to fit the above vision. Key challenges include: learning complex world models; building effective and fully explainable machine learning systems; adapting AI systems to dynamic, open-ended real-world environments achieving an in-depth understanding of humans and complex social contexts; and enabling self-reflection within AI systems.

What will be the impact?

The HumanE AI community has mobilized a research landscape far beyond the direct project funding and brought together a unique innovation ecosystem.  This has the potential for significant disruption across its socio-economic impact areas, including Industry 4.0, health & well-being, mobility, education, policy, and finance. We aim to spearhead the efforts required to help Europe achieve a step-change in AI uptake across the economy.

Why are we the best to do it?

The project consortium, with 53 institutions across 20 European countries, advocates that Artificial Intelligence is made by us humans, European researchers and citizens, who care deeply about the future of AI in Europe and its use for the benefit of all Europeans.

HumaneAI across Europe
HumaneAI across Europe

Organizers

Event Contact

Programme

Time Speaker Description
7 PM CET Start

Background

Artificial intelligence (AI) is expected to contribute over $15 Billion to the global economy by 2030 (PWC) and shape the future of human society. A critical challenge for the industry to live up to its potential is the need for more diversity in the development, research, application, and evaluation of new AI technology. With their series “Remarkable Women in AI,” the AI Competence Center at German Entrepreneurship and the Transatlantic AI eXchange invite all genders to a series of inspirational, educational, collaborative, and global discussions on gender diversity in AI – with the aim of inspiring attendees to take steps in their respective roles to address the gender gap in AI.

Target Audience
This event is directed towards all gender students, entrepreneurs and women in research institutions and corporations.

Organizers

Event Contact

Programme

Time Speaker Description
18:00 Start

Background

#ShareTheFailure - We change the view on failure.

On February 6th we will continue with FuckupNights®Munich Vol.3 Artificial Intelligence.

◉F_ckuppers tell stories about burned money, personnel decisions that led to total failure and products that had to be recalled. They tell it all, with us on stage.

🔥 The idea comes from Mexico, where five friends realized that it takes a very humid evening to let your pants down instead of adulating each other about professional successes. In other words, to tell the stories that no one includes in their résumé. Because without failure there is no success.◉

◉ CURRENT:

✅ Check-in 6:00 p.m.

✅ Start 6.30 p.m.

✅ End approx. 21.00 hrs.

Location

  • Stockholm, 16 November 2022
  • Location: Grand Hôtel (Södra Blasieholmshamnen 8, 103 27 Stockholm)
  • Rooms Uppsala (coffee breaks, lunch, poster exhibition) and New York (conference)

Organizers

  • Virginia Dignum (Umea University Sweden)
  • Paul Lukowicz (DFKI)
  • Albrecht Schmidt (LMU Munich)
  • John Shawe-Taylor (UCL)

Event Contact

Background

The European HumanE AI Network aims to leverage the synergies between the involved centers of excellence to develop the scientific foundations and technological breakthroughs needed to shape the AI revolution in a direction that is beneficial to humans both individually and societally, and that adheres to European ethical values and social, cultural, legal, and political norms. The core challenge is the development of robust, trustworthy AI systems capable of what could be described as “understanding” humans, adapting to complex real-world environments, and appropriately interacting in complex social settings. The aim is to facilitate AI systems that enhance human capabilities and empower individuals and society as a whole, while respecting human autonomy and self-determination.

This conference aims at present and highlights the research directions, methods and results of the network’s activities, with a specific focus on our micro-projects: our  unique collaboration model that allows agile interaction between partners, interfacing related activities outside the project and easy engagement with researchers outside the consortium.

The conference will take place at the Grand Hotel in Stockholm on 16 November 2022, as a twin event with the 3rd Conference on AI for Humanity and Society (AI4HS) organised by WASP-HS in the same location on 17 November 2022. All participants are invited to attend both conferences (please note you need to register separately to the AI4HS conference).

All HumanE AI network members and collaboration partners are invited to submit a proposal for the HumanE AI conference. All micro projects (past and current) are strongly advised to submit.

Programme

Time Speaker Description
08.00-09.00 Participants are welcome to pin their posters on the poster boards (room Uppsala)
09.00-09.15 Paul Lukowitz Welcome and Introduction
09.15-10:00 Danica Kragic Jensfelt “We can use Robots: acting and interacting”
10.00-11:00 Poster session and coffee break (room Uppsala) Posters (see list below): either presented as poster or on laptop
11:00-12:30 Paper session “Humans and AI”
Jonne Maas, Luís Gustavo Ludescher and Juan M Durán The Role of an AI Designer: design choices and their epistemic and moral limitations
Inês Lobo, Inês Batina, Jennifer Renoux, Janin Koch and Rui Prada A Human-AI Collaboration Study using the Geometry Friends Game
Inês Lobo, Diogo Rato, Rui Prada and Frank Dignum: Socially Aware Interactions From Dialogue Trees to Natural Language Dialogue Systems
Sahan Bulathwela, María Pérez Ortiz, Erik Novak, Daniel Loureiro, Emine Yilmaz, Joao Vinagre, Alípio Jorge and John Shawe-Taylor Towards Educational Recommenders with Computational Narratives
Maria Tsfasman, Kristian Fenech, Morita Tarvirdians, Andras Lorincz, Catholijn Jonker and Catharine Oertel Towards creating a conversational memory for long-term meeting support: Predicting memorable moments in multi-party conversations through eye-gaze
12:30-13:30 Lunch (room Uppsala)
13:30-14:15 Panel with HAI-net responsible AI board and others Trustworthy HAI
  • Dagmar Monett (board, confirmed to attend meeting)
  • Jennifer Cobbe (board, confirmed to attend meeting)
  • Ulises Cortes (WP5)
  • John Shawe-Taylor  (WP1)
  • Albrecht Schmidt or someone from Industry (WP7)
  • Moderator: Virginia Dignum
14:15-15:30 Paper session 2 “XAI/Fairness/Ethics”
James Crowley Comprehension, Explanation and Learning Core Research Challenges for Collaborative AI
Ali A. Khoshvishkaie, Petrus Mikkola, Pierre-Alexandre Murena, Mustafa Mert Çelikok, Frans A. Oliehoek and Samuel Kaski AI-assistant to mitigate confirmation bias in cooperative Bayesian optimization
Elisabeth Stockinger, Anna Jonsson, Luís G. Ludescher, Jonne Maas and Virginia Dignum A Value-Based Political Guidance Model
Fosca Giannotti and Dino Pedreschi Reporting on the results of the ADG-ERC XAI project: Science and Technology for eXplanation of AI bases decision-making
János Kertész, Letizia Milli, Virginia Morini, Valentina Pansanella, Dino Pedreschi, Giulio Rossetti and Tiziano Squartini Investigating polarization: cognitive and algorithmic biases and external effects on opinion formation
15:30-16:00 Break (room Uppsala)
Paper session 3 “ML/NLP/KR”
Bettina Fazzinga, Andrea Galassi and Paolo Torroni A Privacy-Preserving Dialogue System Based on Argumentation
Francesco Spinnato, Riccardo Guidotti, Mirco Nanni, Daniele Maccagnola, Giulia Paciello and Antonio Bencini Farina Explaining Crash Predictions on Multivariate Time Series Data
Francesco Pisani, Luciano Caroprese, Bruno Veloso, Matthias König, Giuseppe Manco, Holger Hoos and Joao Gama A Graph-Based Drift-Aware Data Cloning Process
Nina Khairova, Fabrizio Lo Scudo, Bogdan Ivasiuk, Andrea Galassi, Carmela Comito, Giuseppe Manco, Raivis Skadins and Paolo Torroni An Event-based Dataset around Russia’s Invasion of Ukraine News coverage
Lorenzo Valerio, Chiara Boldrini, Andrea Passarella, Janos Kertesz and Gerardo Iniguez Social AI Gossiping
Alessandro Daniele, Emile van Krieken, Luciano Serafini and Frank van Harmelen Refining neural network predictions using background knowledge

Posters

  1. Annalisa Bosco, Matteo Filippini, Davide Borra, Elsa A. Kirchner and Patrizia Fattori    Prediction of static and perturbed reach goals from movement kinematics.
  2. Sencer Melih Deniz, Hamraz Javaheri, Juan Felipe Vargas, Dogan Urgun, Fariza Sabit, Mahmut Tok, Mehmet Haklidir, Bo Zhou and Paul Lukowicz    Neural Mechanism in Human Brain Activity During Weight Lifting
  3. Jennifer Renoux, Neziha Akalin, Joana Campos, Filipa Correia, Lucas Morillo-Mendez, Fernando P. Santos and Ana Paiva    The impact of game outcomes and Agent-based Feedback on Prosociality in Social Dilemmas
  4. Lorenzo Bellomo, Virginia Morini, Giulio Rossetti, Dino Pedreschi and Paolo Ferragina    Source Selection Bias in the European Media Landscape
  5. Lorenzo Bertolini and Julie Weeds    Testing Large Language Models on Compositionality and Inference in the Absence of Biases
  6. Inês Lobo, Diogo Rato, Rui Prada, Giulia Andrighetto and Eugenia Polizzi    Using Dictator Game Data to Identify Patterns of Behaviour and Beliefs on Norms
  7. Jan Hajic, Zdenka Uresova, Eva Fučíková, Karolina Zaczynska, Peter Bourgonje and Georg Rehm    Multilingual Event-Type-Anchored Ontology for Natural Language Understanding
  8. Jan Hajic, Zdenka Uresova, Eva Fučíková, Thierry Declerck, Marco Rospocher, Francesco Corcoglioniti and Alessio Palmero Aprosio    Multilingual SynSemClass for the Semantic Web
  9. Helena Lindgren    Managing Breakdown Situations and Co-Creating We-Intention in Human-AI Collaboration for Improving Health
  10. Antti Oulasvirta, Julien Gori and Firooz Hossein    Optimal Alerting
  11. Andreas Theodorou, Juan Carlos Nieves and Virginia Dignum    AI and the lack of Sustainable Development
  12. Sahan Bulathwela, Shenal Pussegoda, Maria Perez-Ortiz, Davor Orlic, Emine Yilmaz, Yvonne Rogers and John Shawe-Taylor    X5LEARN: Cross Modal, Cross Cultural, Cross Lingual, Cross Domain, and Cross Site Interface for Access to Openly Licensed Educational Materials
  13. Bruno Veloso, Luciano Caroprese, Matthias König, Giuseppe Manco, Holger Hoos and Joao Gama    Online Deep-AUTOML
  14. Sebastian Stefan Feger, Andrea Esposito, Giuseppe Desolda and Florian Müller    Making for Everyone: Requirements Research on Voice-Based Digital Modeling
  15. Carmela Comito, Andrea Galassi, Bogdan Ivasiuk, Nina Khairova, Fabrizio Lo Scudo, Giuseppe Manco, Raivis Skadins and Paolo Torroni    Comparative analysis of Ukranian war news: automatic detection of opinions, sentiment, and propaganda
  16. Richard Benjamins, Javier Carro, Pedro A. de Alarcón, Luis Suárez, Luis Lamiable and Andrés Herguedas García    Internet of Things and Artificial Intelligence to Improve air quality in cities
  17. Pierpaolo Resce, Lukas Vorwerk, Zhiwei Han, Giuliano Cornacchia, Omid Isfahani Alamdari, Mirco Nanni and Luca Pappalardo    Connected Vehicle Simulation Framework for Parking Occupancy Prediction
  18. Lorenzo Bertolini, Valenitna Elce, Giulio Bernardi and Julie Weeds    Towards Automatic Scoring of Dream Reports
  19. Dimitris Pappas, Ioannis Lyris, George Kountouris and Haris Papageorgiou    A Neurosymbolic Question Answering System Combining Structured and Unstructured Biomedical Knowledge
  20. Giuliano Cornacchia, Matteo Böhm, Giovanni Mauro, Mirco Nanni, Dino Pedreschi and Luca Pappalardo    How Routing Strategies Impact Urban Emissions
  21. Ana Nogueira, Andrea Pugnana, Salvatore Ruggieri, Dino Pedreschi and Joao Gama    Methods and Tools for Causal Discovery and Causal Inference
  22. Jesus Cerquides, Mehmet Oğuz Mülâyim and Jose Luis Fernandez-Marquez    Crowdnalysis: a Python library for consensus in citizen science crowdsourcing projects
  23. Victor Schetinger, Silvia Miksch, Thomas Eiter, Rafael Kiesel and Yuanting Liu    The Combinatorics of HumaneAI Kristian Fenech, Sean Bergeron, Ádám Fodor, Rachid Saboundji, Catharine Oertel and Andras Lorincz    Automatic estimation of the perceived personality of small groups

Organizers

Event Contact

Programme

Time Speaker Description
1:00 to 4:30 pm Dr. Julian Wörmann

Background

Experts agree that artificial intelligence is as disruptive as electricity or the Internet. But what does that mean for you and your mid-sized company? Which use cases are really relevant for you? And what do you need to do to actually implement them? We would like to discuss these questions with you again this year and provide answers.

The aim of the event is to accompany small and medium-sized companies in particular as they enter the field of artificial intelligence. The benefits and potentials of the technology for your company will be highlighted, and entrepreneurs who have already successfully tackled the topic of artificial intelligence will show how AI can succeed.

Expect leading AI experts and users to share their knowledge with you, contacts to support you with your projects and questions, and interactive formats where you can learn how to harness the potential of AI for your business today.

Organizers

  • Dennis Elflein (German Entrepreneurship GmbH)

Event Contact

  • Dennis Elflein (German Entrepreneurship GmbH)

Programme

See the official website here.

Background

Solve Exciting AI Challenges at our Virtual Hackathon

Explore the world of Artificial Intelligence within one of the global industry leaders and address exciting AI challenges impacting future needs - 48h | 5 Challenges | 30 High Potentials

Join the Siemens Female Data Science Network in tackling the challenges of tomorrow’s industries and business practices. Entering our journey enables you to work with industry experts, provide your expertise and explore new horizons together. This is your opportunity, so come join our network and start hacking.

Experience the best combination of your enthusiasm and expertise in AI together with innovative Siemens departments and specialists. Starting on the 28th of September 2022, we will take you on a two-day journey of exploration and deep dive into different AI activities to give you the insights you need to tackle a specific use case within one of our five challenges.

Exciting opportunities ahead: Join us in solving the industry’s most pressing challenges! You decide where to start!

Organizers

Event Contact

Programme

Time Speaker Description
Sept, 04 Application Deadline
Oct, 25 Andreas Keilhacker Pitch Day

Background

The startup-investor matching event Cashwalk gives startups and investors a platform in an exclusive environment without any distractions to meet potential partners, and kick off prosperous relationships.

Is your startup planning the next seed or series A funding round? Then Cashwalk is your time and stage to shine! Apply by September 4 to pitch in front of 100 investors!

You will pitch your business live on the virtual stage. During networking breaks, the participating investors do have the chance to meet you at your online startup booth.

Organizers

Event Contact

Programme

Time Speaker Description
September, 1 Thomas Sattelberger Keynote: Deep Tech Horizon 2030
September, 1 Co-Founder Matching
September, 2 Northstar Workshop
September, 3 Mentor Madness
September, 3 Deep Dive Workshop
September, 4 Pitch Day

Background

We are announcing Deep Tech Momentum; the go-to conference for deep tech enthusiasts and founders in the early startup stages.

This event is designed to

👉 help you find co-founders,

👉 build your business faster through mentorship and

👉 receive world-class fundraising advice.

Techstars Berlin, RWTH Aachen, German Entrepreneurship and Audi Denkwerkstatt are designing this next level European experience in collaboration with the industry’s most innovative Deep Tech experts and top Deep Tech VCs.

Deep Tech Momentum aims to connect the best European early stage deep tech founders with potential co-founders and investors. With our first conference we aim to accelerate and connect 25+ top deep tech startups and 50+ "deep tech enthusiasts".

Interested? Or know any Deep Tech enthusiasts or founders? Check out the website.

This was the EU-funded HumanE-AI-Net project brings together leading European research centres, universities and industrial enterprises into a network of centres of excellence. Leading global artificial intelligence (AI) laboratories will collaborate with key players in areas, such as human-computer interaction, cognitive, social and complexity sciences. The project is looking forward to drive researchers out of their narrowly focused field and connect them with people exploring AI on a much wider scale. The challenge is to develop robust, trustworthy AI systems that can ‘understand’ humans, adapt to complex real-world environments and interact appropriately in complex social settings. HumanE-AI-Net will lay the foundations for designing the principles for a new science that will make AI based on European values and closer to Europeans.

Organizers

  • CHETOUANI (Sorbonne University)

Event Contact

  • Chetouani (Sorbonne)

Programme

Time Speaker Description
9:30 Mohamed Chetouani (Sorbonne University) Introduction & Objectives
9:45 Paul Lukowicz (DFKI) HumanE AI NET
10:00 Ioannis Pitas (AI4MEDIA) Lessons learnt from the AI4Media Curriculum formation exercise
10:20 Helena Lindgren (Umeå University) Human-Centered AI Education Addressing Societal Challenges
10:50 Wendy Mackay (INRIA) Participatory Design for Human-Centered AI
11:10 Andrea Aler Tubella ( University) How to teach Trustworthy AI? Challenges and recommendations from expert interviews.
11:30 Loïs Vanhée (Umeå University) Towards a GEDAI academy - Growing Ethical Designers of AI
11:50 Martin Welß (Fraunhofer Institute) AI4EU Experiments (alias VirtualLab in HumaneAI)
12:10 Mohamed Chetouani (Sorbonne University) De-briefing and Conclusions

Background

Objectives:
Human Centric AI should be beneficial to individuals and the society as a whole, trustworthy, ethical and value-oriented, and focused on enhancing user’s capabilities and empowering them to achieve their goals.

Human Centric AI requires new approaches to train current and future actors in AI, human-machine interaction, cognitive science and the social sciences. These approaches are central to HumanE AI Net and should be now translated into Human Centric AI curricula that could be used to derive local curricula.

The focus of this workshop is the design of coherent Human Centric AI curricula by defining disciplines, strategies, methods and learning outcomes aligned with the needs of the society

Zoom Link
https://us02web.zoom.us/j/89703561322?pwd=SEQ2V3BvbGNZWXpWN2pvbFpJRjFTQT09

ID : 897 0356 1322
Code: 269442

Organizers

Event Contact

Programme

Time Speaker Description
June 27th 14:00-16:00 Hackathon Opening Session During this session, you will have the opportunity to hear different keynote speakers with focus on the Hackathon challenges and tooling tutorials.
June 27th 16:00-19:00 Hackathon development During the first day, you will start the development of your projects supported by international mentors.
June 28th 09:00-19:00 Hackathon development During the second day, you will start the development of your projects supported by international mentors
June 29th 09:00-15:30 Hackathon development Final phase of development, where you will finish the projects and provide the presentations
June 29th 15:30-17:00 Hackathon Pitching! You will be pitching your projects to an audience and juris
June 29th 17:00-18:00 Awards session During this session we will provide the different Awards.

Background

The EU-IoT Hackathon focuses on “sustainable next generation IoT applications”. We invite you to bring your ideas and to develop solutions that address IoT skills training, IoT sustainable business models, IoT novel technical solutions in the context of 6 challenge domains: IoT interfaces, far Edge, near Edge, infrastructure, and also: a specific challenge domain of the European Factory Platform (EFPF), with focus on manufacturing. It will take place between 27th-29th June 2022, in Munich (Germany). The hackathon is co-located with CONASENSE2022.

The aim of the EU-IoT Hackathon is to disseminate new business ideas, experiments and prototypes as first step to best support next generation sustainable IoT solutions.

The teams shall have the opportunity to develop their ideas within an international flagship environment being mentored by several international experts from the Next Generation IoT (NGIoT) community and being in contact with NGIoT community flagship events.
Awards

EU-IoT Challenges Award – UnternehmerTUM Makerspace Award – first prize. Corresponds to 1 year membership for incubation in the UnternehmerTUM Makerspace in Munich for the best project overall, across all domains and project categories.
EU-IoT Challenges Award – IoT Week 2023 Ticket – second prize. One free registration for 1 person of a team, full programme of the IoT Week 2023.
EU-IoT Challenges Award IoT-starter kit – All winning teams (3). IoT starter kit provided to each team member of the 3 winning teams
EFPF Challenges Award – 1st prize. 1 smartphone valued at 600 Euros.
EFPF Challenges Award – 2nd prize. Smart home kit valued at 300 Euros.
EFPF Challenges Award – 3rd prize. IoT starter kit valued at 200 Euros
EFPF Challenges Award – 4th prize. IoT starter it valued at 100 Euros.

Deadlines

Team registration and challenge selection: 15.05.2022
EU-IoT Hackathon preparation event (online): 31.05.2022
Hackathon: 27th-29th 2022, co-located with the CONASENSE 2022 symposium in Munich, Germany

If you are interested:

1. Check the hackathon page, awards and rules and register via DevPost: https://eu-iot-hackathon.devpost.com/
2. Register your project, team (1-6 persons) : https://forms.gle/5BvJL8dj7Zk4S3EX9
3. Join the Hackathon via slack, https://eu-iot-hackathon.slack.com/, where we will be regularly disseminating information about the different tools, and updates to the EFPF catalyser programme and final hackathon event.
4. Contact us to get more information via eu-iot-hackathon@fortiss.org!

Committees:
- Organizers: fortiss GmbH (Mitula Donga, Rute C. Sofia); UnternhemerTUM Makerspace GmbH (Florian Küster)

Technical Committees :
-EU-IoT Committee: Rute Sofia (fortiss), Lamprini Kolovou (Martel); John Soldatos (Intracom); Mirko Presser (Aarhus University); Brendan Rowan (Bluspecs)
-EFPF Committee: Mitula Donga (fortiss), Alexandros Nizami (ITI-CERTH), Florian Jasche (Fraunhofer FIT), Ingo Martens (Hanse Aerospace); Carlos Coutinho (Caixa Mágica), Usman Wajid (Information Catalyst)

Organizers

Event Contact

Programme

Time Speaker Description
9:00 Wolfgang Köhler

Background

In this webinar, fortiss presents the potentials and benefits of a data-driven digitization strategy for small and medium-sized enterprises (SMEs). Success stories and practical application examples also illustrate how networked information systems and artificial intelligence (AI) can create targeted added value for companies.