Attendance mode: in-person - remote participation is not supported - Language: English.

Date: Tue, May 28 2024

Location: Kaiserslautern, Germany (DFKI)

Fees: Free participation

Registration: Register by   May 8th 2024  extended to May 14th 2024  (We'd love to have you :) We have a couple of spots left, you can register & we'll confirm within 24 hours if you have a spot)

Publicity: By attending the event, you consent to the capturing and sharing of photos and videos taken during the event, both online and offline. The content is mainly shared through Humane AI social media accounts (Linkedin, Facebook, X)

Join us for a one-day Hackathon empowering parents to harness AI and cutting-edge tech for streamlined family life. We'll demonstrate how modern AI tools can empower busy individuals (such as stay-at-home parents and new expats) to seize business opportunities right from the comfort of their homes. No prior programming or AI tool experience is required!

🎯 Goal 1: Discover How AI Boosts Parenting Efficiency: Uncover the secrets of AI and how it can revolutionize your daily parental duties, making life smoother and more manageable.

🚀 Goal 2: Ignite Startup Innovation in Family Solutions:  Fuel your entrepreneurial spirit as we encourage rapid prototyping and the launch of new startups focused on family-oriented solutions powered by AI tools.

🎯🎯 Who Should Attend?🎯🎯 This event is tailored for parents seeking innovative solutions for family life and/or tech enthusiasts eager to dive into the world of AI. Others are also welcomed. 

Topics of Interest

The proposed solutions should tackle one or more of the following domains:

    1. Smart Parenting Tools: Explore AI-powered solutions tailored to simplify everyday parenting tasks.
    2. Efficient Scheduling: Learn how AI can optimize family schedules for better time management.
    3. Personalized Assistance: Discover how AI technologies provide personalized support for each family member.
    4. Quality Family Time: Enhance family bonding with AI-enabled activities and communication tools.
    5. Innovative Education: Explore the latest educational technologies for children, powered by AI.
    6. Health and Wellness: Utilize AI tools to promote healthier lifestyles and well-being for the whole family.
    7. Home Automation: Experience the convenience of AI-driven smart home devices for a more efficient household.
    8. Entrepreneurial Empowerment: Receive guidance on leveraging AI for business ideas to accelerate entrepreneurship ventures for families.

Participants can come up with their ideas and describe creative problems that they want to tackle in the hackathon event.

Expected Output

The teams can use any AI-powered tools to create mockups of their startups. We highly recommend using ChatGPT. Teams should create their accounts before the event. They should also use at least one tool presented in the workshop morning tutorials. 

Each team should submit the following items:

  1. Startup name + 300-500 words description of their idea
  2. Mock-up of their startup solving a family need using AI tools. 
  3. Give a talk about their solution

The outputs will potentially be published via the AI on Demand platform.

All attendees get a certificate of participation. Additionally, there will be 3 winning teams.

Tentative Agenda and Material

We reserve the right to update the event agenda. Lunch is provided.

Time Agenda Item (Tue 28/5 11:30 - 17:30)
11:30 Registration + prepping flash intros
12:00 Introduction
12:10 Flash introductions (introduce yourself in 30 secs)
12:30 Talk 1 (Hend Eldamaty): Family guru (how to use AI for parents)
13:00 Talk 2 (Stephanie LeBlanc-Godfrey): Mother AI
13:30 Lunch break
14:30 Talk 3 (Asif Shahriar): AI in Education
15:00 Talk 4 (M. Tahasunl Ibrahim): Ethics in AI
15:15 Intro for startup workshop & team distribution
15:30 Coffee break
16:00 Group activity (workshop)
16:30 Pitching ideas & team presentations
17:00 Talk 5 (Paul Lukowicz): Future of AI
17:30 Closing


  1. Stephanie LeBlanc-Godfrey: CEO/Founder Mother AI | Global Head of Inclusion for WOC Google | Think50 Radar '24 | Empower Working Parents to Learn AI Skills
  2. Hend ElDamaty: AI4Moms initiative- AI Copilot trainer-Microsoft competition winning AI 4 parenting App
  3. Asif Shahriar: PhD Candidate and Researcher in eLearning, specialising in Human-Computer Interaction. Expertise includes the design and implementation of chatbots in educational settings
  4. M. Tahasanul Ibrahim: Research Fellow in computer vision, machine learning, and data enhancement. He holds a Master of Science in Semi-Supervised Machine Learning Models and is currently pursuing a Doctor of Philosophy in Computer Vision and Data Enhancement.
  5. Paul Lukowicz: Professor of AI University of Kaiserslautern & Scientific Director in the German Center for Artificial Intelligence (DFKI)


By attending the event, you consent to the capturing and sharing of photos and videos taken during the event, both online and offline. The content is shared through Humane AI social media accounts (Linkedin, Facebook, X)

Tag us to re-share your posts: @humaneainet


You can come with your team, sign up alone and we assign you to a team or compete solo. The maximum size of a team is 3 members. 

Registration form:
Registration deadline: Rolling deadline May 8th 2024  extended to May 14th 2024 

We'd love to have you :) We have a couple of spots left, you can register & we'll confirm within 24 hours if you have a spot. 

Notifications of Acceptance or Rejection

  • Applied until May 14th? Notification email latest by May 10, 2024 May 16, 2024.
  • Applied after May 14th? Notification email after 24 hours (business days).

Please ensure that the email address provided in your application is accurate and regularly checked. We appreciate your patience and understanding

VISA Requests

If you need a VISA support letter, please email Siobhan O'Neill <siobhan.oneill[at]> to expedite the process. Please include the following information:

  1. The full name like the passport
  2. Home Address (will be used to address the letter)

Please note that VISA support letters are only possible if you have successfully registered for the event and we have sent you an acceptance email. Please expect around 3 business days for processing time.

Planning your Trip

Event Location

DFKI GmbH (German Centre for Artificial Intelligence)

Address: Trippstadter Str. 122, 67663, Kaiserslautern, Germany

Google pin:


Arriving to Kaiserslautern

Arriving by Train

The closest train station is called "Kaiserslautern HBF". You can check train connections and buy the tickets from the Deutsche Bahn website or mobile application:

Arriving by Plane

The closest civil airport is in Frankfurt am Main. From there, there are two possibilities of transport:

  1. By train - there are multiple connections throughout the day, however, usually change is necessary. The train station is located next to the airport (Frankfurt Flughafen) and it is possible to get there without walking outside of the buildings. The prices range from 15 to 40 EUR. The easiest way to manage your ride is with a DB app - it is possible to buy tickets there, get updates about routes etc.
  2. By bus - for example Flixbus offers direct connection from Frankfurt airport to the Kaiserslautern bus station. Prices range from 8 to 15 euros. However, there are only a few connections throughout the day.

Getting Around in Kaiserslautern

The closest bus stop is: Frauenhofer Centrum. Bus lines coming to the DFKI are 105, 115 and 116. You can also go to the university and then walk to DFKI, it takes about 5-10 min.

The company taking care of the buses is SWK-KL. You can check the connection here:, or download an app myVRN-APP to buy the tickets and check the connections.


Participants should self-organize their accommodation. Below are some close-by options.


1/ Design Hotel Zollamt (the closest one to the hackathon site) (11 mins walk to DFKI) (link)

2/ Astra Garni Hotel (21 mins walk to DFKI) (link)

3/ B&B Hotel (near the train station) (27 mins walk to DFKI)(link)

4/ Art Hotel Lauterbach (bus station across the street) (35 mins walk to DFKI) (link)

Boarding houses

5/ Dietrich Felgner (19 mins walk to DFKI) (link)

6/ Lutrina-Gästehaus (26 mins walk to DFKI) (link)

Have questions?

Contact Siobhan O'Neill <siobhan.oneill[at]>


  • Hend Eldamaty, AI4Moms initiative
  • Passant Elagroudy, DFKI GmbH & RPTU Kaiserslautern
  • Jakob Karolus, DFKI GmbH & RPTU Kaiserslautern.
  • Siobhan O'Neill, Insight SFI Research Centre for Data Analytics, University College Cork.
  • Joanna Sorysz, DFKI GmbH & RPTU Kaiserslautern.
  • Paul Lukowicz, DFKI GmbH & RPTU Kaiserslautern

This event is organized as a collaboration between the #AI4Moms initiative and the European Union’s Horizon 2020 research and innovation programme through the European AI Networks of Excellence: Humane AI Net in addition to the AI4Europe project. It is also supported by Start2 Group and SCOPE as well as the following universities: RPTU Kaiserslautern-Landau  and UCC. The event is hosted by the German Research Center for Artificial Intelligence (DFKI) (Embedded Intelligence department).

In this half-day workshop, we highlight various research opportunities and career paths for excellent researchers in the field of computing, with reflections on gender equality and diversity. We have invited a select number of successful researchers from industry and academia, who will take the stage to share their perspectives and unique insights into their careers and research domains. With this event we aim to foster mentorship in career development for young (female) researchers by establishing and strengthening a network of Women* in Computing.


11:00-12:00 Discussions on the Workshop Series (SFB-internal)
12:00-12:30 Opening and Welcome (with finger food)
13:00-13:30 Flash introductions
13:30-15:30 Speaker session I

  • Andrea Volkamer (Saarland University)
  • Miriam Butt (University of Konstanz)
  • Sarah Völkel (Google)
15:30-16:00 Coffee break
16:00-18:00 Speaker session II

  • Enxhi Gjini (Takeda)
  • Andrea Šipka (DFKI)
  • Passant Elagroudy (DFKI)
18:00-18:30 Group discussions (with finger food)
18:30-19:00 Concluding discussion and closing
20:00-22:00 Working dinner: Planning WiC ‘24 (organizers + speakers)


Event Contact

  • Rita P. Ribeiro (INESC TEC)


Time Speaker Description
9:00 Virginia Dignum Responsible AI: from Principles to Action


The workshop intends to attract papers on how Data Science can and does contribute to social good in its widest sense.

Topics of interest include:

  • Government transparency and IT against corruption

  • Public safety and disaster relief

  • Access to food, water, sanitation and utilities

  • Efficiency and sustainability

  • Climate change

  • Data journalism

  • Social and personal development

  • Economic growth and improved infrastructure

  • Transportation

  • Energy

  • Smart city services

  • Education

  • Social services, unemployment and homeless

  • Healthcare and well-being

  • Support for people living with disabilities

  • Responsible consumption and production

  • Gender equality, discrimination against minorities

  • Ethical issues, fairness, and accountability.

  • Trustability and interpretability

  • Topics aligned with the UN development goals

The major selection criteria will be the novelty of the application and its social impact. Position papers are welcome too.

We are also interested in applications that have built a successful business model and are able to sustain themselves economically. Most Social Good applications have been carried out by non-profit and charity organisations, conveying the idea that Social Good is a luxury that only societies with a surplus can afford. We would like to hear from successful projects, which may not be strictly "non-profit" but have Social Good as their main focus.

Accepted papers will be published by Springer as joint proceedings of several ECML PKDD workshops.


Event Contact


Time Speaker Description
9:00 Wolfgang Köhler


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.


This webinar is hosted by Carbon Re together with the UNESCO International Research Centre on Artificial Intelligence (IRCAI), in association with London Climate Action Week and with the generous support of HumaneAI-Net.

Register →here

According to the Climate Change Committee, greenhouse gas emissions from manufacturing and construction were 66 MtCO2 in 2018 - 12% of the UK total. If there is a lesson from the pandemic it is that we need to multiply our efforts to mitigate climate change, if we are to avoid economic, social and political disaster. Yet, we can’t achieve net zero goals without decarbonizing manufacturing and construction. We need to tackle the hard problems today. This means industrial policies, R&D funding, business support and innovation that accelerate the zero-carbon transition needed to address these challenges.

Join us to hear from world leading experts in AI, business and policy discussing current applications and high-potential use cases.

Keynote speech by Professor John Shawe-Taylor

Professor John Shawe-Taylor is the UNESCO Chair in AI, and Director of the International Research Center on Artificial Intelligence under the auspices of UNESCO.

Followed by a panel discussion with

Sana Khareghani, Head of Office for Artificial Intelligence. The Office for AI is a joint unit between Department for Digital, Media, Culture and Sport (DCMS) and the Department for Business, Energy and Industrial Strategy (BEIS).

Jade Cohen, Co-Founder and CPO at Qualis Flow. Qualis Flow works with construction teams to enable them to track and manage their social and environmental impact, and take a data driven approach to improving that impact.

Mark Enzer OBE, CTO of Mott MacDonald and Head of the National Digital Twin Programme at the Centre for Digital Built Britain. The Centre for Digital Built Britain is a partnership between the BEIS and the University of Cambridge. It seeks to understand how the construction and infrastructure sectors can use a digital approach to better design, build, operate and integrate the built environment.

Professor Aidan O’Sullivan is Co-Founder and CTO at Carbon Re, Associate Professor in Energy and AI at the UCL Energy Institute and Programme Chair for AI and Climate Change at the International Research Center on Artificial Intelligence (IRCAI) under the auspices of UNESCO.

About the hosts

Carbon Re is an AI and Climate tech startup focused on decarbonising cement and foundation industries with deep reinforcement learning.

IRCAI is an AI center under the auspices of UNESCO looking to establish a global network of AI centres that are working in the area of sustainable development.

About our Sponsor

EU-funded HumanE-AI-Net project aims to develop robust, trustworthy AI systems that can ‘understand’ humans, adapt to complex real-world environments and interact appropriately in complex social settings.

June 20 – 25 , 2021, Dagstuhl Perspectives Workshop 21252

Human-Centered Artificial Intelligence


Virginia Dignum (University of Umeå, SE)
Wendy E. Mackay (INRIA Saclay – Orsay, FR)
John Shawe-Taylor (University College London, GB)
Frank van Harmelen (VU University Amsterdam, NL)

For support, please contact

Annette Beyer for administrative matters

Michael Gerke for scientific matters


Dagstuhl Perspectives Workshop Schedule (Upload here)


Society is undergoing a revolution in artificial intelligence (AI), with huge potential benefits, but also major risks for individuals and society.

Increasingly, trust in the development, deployment, and the use of AI and autonomous systems concerns not only the technology’s inherent properties, but also the socio-technical systems of which they are part of, that is, the people, organisations, and societal environments in which systems are developed, implemented, and used. Currently, major challenges include the lack of fundamental theory and models to analyse and ensure that systems are aligned with human values and ethical principles, accountable, open to inspection, and understandable to diverse stakeholders. Furthermore, there is no doubt that this technological shift will have revolutionary effects on human life and society.

The goal of this Dagstuhl Perspectives Workshop is to contribute to shape that revolution, to provide the scientific and technological foundations for designing and deploying AI systems that work in partnership with human beings, to enhance human capabilities rather than replace human intelligence. Fundamentally new solutions are needed for core research problems in AI and human-computer interaction (HCI), especially to help people understand actions recommended or performed by AI systems and to facilitate meaningful interaction between humans and AI systems.

Specific challenges include: learning complex world models; building effective and explainable machine learning systems; developing human-controllable intelligent systems; adapting AI systems to dynamic, open-ended real-world environments (in particular robots and autonomous systems); achieving in-depth understanding of humans and complex social contexts; and enabling self-reflection within AI systems.

Expected results (outcome) of the workshop

  • Define a coherent research agenda for this rapidly emerging discipline
  • Produce a clear narrative on content and urgency of the discipline to influence policy makers
  • Trigger scientific innovation across the whole spectrum from fundamental research to practical applications
  • Develop synergies across Europe on this emerging research theme and link with similar international initiatives (e.g. at Stanford and MIT ).

The German Entrepreneurship GmbH and the Ludwig-Maximilians-Universität München facilitated a workshop on the topic of "Innovation in AI & AI in Innovation" on the 30th and 31st October 2019 in Munich. The participants were consortium members and guests from industry (health care, automobiles, aircraft, industry 4.0), start-up companies (mainly AI service start-ups) and the scientific community (universities, students, research labs etc.).

The workshop sessions consisted of input lectures, key notes, group works, discussions and exchange formats like speed dating. Thereby, experiences were shared, and a knowledge transfer was facilitated. Active and intensive exchange between the participants was fostered and common challenges and new ideas were identified.