Research Highlight: The Impact of Beauty Filters on Perceptions and Cognitive Biases

Research Highlight: The Impact of Beauty Filters on Perceptions and Cognitive Biases

A compelling study on the attractiveness halo effect in the digital realm, conducted by researchers from the ELLIS Alicante Foundation and Fondazione Bruno Kessler, and partially funded by the ELIAS project, has been published in the Royal Society Open Science. This landmark research, led by Aditya Gulati and co-authored by Marina Martínez-Garcia, Daniel Fernández, Miguel Ángel Lozano, Bruno Lepri, and Nuria Oliver, examines how AI-driven beauty filters influence perceptions of attractiveness and traits such as intelligence and trustworthiness.

The study has recieved significant international attention, featuring in prominent outlets such as The Guardian, The Telegraph, and Die Welt. With a high Altmetric score placing it in the top 5% of all scored publications, it is clear that the findings resonate across both academic and public spheres.

Addressing a Critical Gap: The Digital Attractiveness Halo Effect

This research tackles an under-explored issue: how cognitive biases shape decision-making in the digital age. Specifically, it investigates the attractiveness halo effect, where perceptions of physical beauty affect judgments of unrelated traits like intelligence or trustworthiness.

In a large-scale online study, 2,748 participants rated images of 462 individuals in two conditions: original and beautified (via AI-based beauty filters). The results? A striking 96.1% of individuals were rated as more attractive post-beautification, with centralised attractiveness scores rising from 3.57 to 5.01 on a 7-point scale.

Key Findings and Their Implications

1. Beauty Filters and Cognitive Bias
  • Enhanced Attractiveness: AI-driven beauty filters significantly increased attractiveness ratings across all demographic groups.
  • Weakened Halo Effect: The attractiveness halo effect diminished for traits such as intelligence and trustworthiness after beautification, suggesting filters may reduce certain cognitive biases.
    2. Unveiling Gender Bias
    • Persistent Stereotypes: Women were rated as more attractive than men, but men were perceived as more intelligent—particularly after beautification.
    • Implications for Equity: These findings highlight deeply entrenched gender stereotypes, with potential ramifications in professional and social contexts.
    3. The Role of Demographics
    • Age: Younger individuals were perceived as more attractive, while older individuals were rated as more intelligent and trustworthy—aligning with the well-documented “wisdom bias.”
    • Ethnicity: Contrary to earlier studies, this research found that the attractiveness halo effect generalised across ethnicities, even when participants rated individuals of different ethnic backgrounds.
    4. Ethical Concerns

    The widespread use of beauty filters raises pressing ethical questions:

    • Authenticity vs. Artificiality: Filters blur the line between real and artificial self-representation.
    • Mental Health Impacts: Regular use of filters has been linked to body dissatisfaction, anxiety, and depression, particularly among young women.
    • Bias Reinforcement: Filters may inadvertently reinforce harmful stereotypes, as demonstrated by the study’s findings on gendered perceptions of intelligence.
    A Call for Ethical AI and Transparency

    The study underscores the urgent need for ethical guidelines and transparency around the use of AI-powered beauty filters. With 90% of women aged 18–30 reporting the use of beauty filters on social media, the societal implications of these tools cannot be ignored.

    Further research is also necessary to explore:

    • The “dark side” of beauty, including correlations between increased attractiveness and traits like vanity or materialism.
    • The halo update effect, which examines how perceptions evolve over time when new information is presented.

    Global Impact and Recognition

    The study has resonated far beyond academia, capturing the public’s attention through extensive media coverage and its top-tier Altmetric score. It exemplifies the impact of interdisciplinary research —melding AI, psychology, and ethics—to address real-world challenges.

    As part of the ELIAS project, this work highlights the importance of advancing ethical AI while raising awareness about the complex consequences of technological tools in our lives.

     

    Read the Full Study

    Access the full paper in The Royal Society Open Science: What is beautiful is still good: the attractiveness halo effect in the era of beauty filters

     

    IDEAHACK 2024: Bridging Academia, Business, and Investors at Poland’s First Sciencepreneurship Hackathon

    IDEAHACK 2024: Bridging Academia, Business, and Investors at Poland’s First Sciencepreneurship Hackathon

    Warsaw, Poland – November 17, 2024
    IDEAHACK 2024, held on November 16-17 at the IDEAS NCBR headquarters in Warsaw, marked a significant milestone as Poland’s inaugural sciencepreneurship hackathon. Organised as part of the European Lighthouse of AI for Sustainability (ELIAS) project, the event aimed to foster collaboration between academia, industry, and investors, emphasizing sustainable AI development.

    A Platform for Collaboration

    The event attracted 57 participants across 14 teams, each tasked with creating a web platform to connect researchers, entrepreneurs, and financiers. Each solution needed to address diverse stakeholder needs, foster collaboration, and and showcase a demo and presentation. Teams were evaluated on criteria such as project alignment with the IDEAHACK goals, presentation quality, and business potential.

    Top Teams and Awards

    After two intense days of brainstorming and development, the hackathon concluded with three standout teams:

    • NerdNet claimed the first prize of PLN 15,000, impressing judges with their innovative approach.
    • HERbata took second place, earning a prize of PLN 10,000.
    • Odkluczacze secured third place and PLN 5,000.
    Ann-Lauriene Schumacher
    Ann-Lauriene Schumacher
    Ann-Lauriene Schumacher
    Ann-Lauriene Schumacher

    Expert Guidance and Mentorship

    Participants benefited from the insights of a distinguished panel of mentors and jurors, including industry leaders such as Paulina Skrzypińska (BNP Paribas), Tomasz Trzciński (IDEAS NCBR), Konrad Howard (Booksy), and Marek Dziubinski (Solvemed), Fabrice Filliez (Swiss Embassy in Poland), and others. Their guidance ensured high-quality solutions that aligned with the event’s ambitious goals.

    Support from Key Partners

    The event was supported by notable organisations. Amazon Web Services provided free cloud environments for prototyping, while Accenture Poland sponsored the grand prize. The hackathon also featured a special guest speech from Piotr Grudzień of Quickchat AI, adding inspiration to the occasion.

    A Milestone in Science and Industry

    Beyond being a competition, IDEAHACK 2024 served as a vibrant showcase of innovation and collaboration. It demonstrated the transformative potential of AI in uniting diverse sectors to address pressing challenges.

    As a pioneering initiative in Poland’s sciencepreneurship landscape, IDEAHACK 2024 set a high standard, igniting momentum for future collaborations that leverage AI for sustainable development.

    Ann-Lauriene Schumacher

    ELIAS Nodes have been presented to the public during the Falling Walls Event in Berlin, Germany  

    ELIAS Nodes have been presented to the public during the Falling Walls Event in Berlin, Germany  

    Press Release: ELIAS Alliance Launch

    ELIAS Nodes have been presented to the public during the Falling Walls Event in Berlin, Germany  

    Berlin, Germany – November 8, 2024

    Inspiring a new generation of AI&Science value creators 

    The ELIAS Alliance for European Leadership in Innovation with AI and Science proudly introduced eight inaugural ELIAS Nodes at the Falling Walls AI Night, held on November 8th, 2024, in Berlin, Germany. This event, renowned for celebrating breakthroughs in science and innovation, provided an excellent platform for launching the pan-European Alliance with its new nodes in Amsterdam, Barcelona, Cambridge, Copenhagen, Munich, Potsdam, Tübingen, and Zurich. The nodes establish a network of startups and incubators and collaborate to support entrepreneurship and the open-source development of foundation models for European value creation.

    Funded by the EU through the European Lighthouse of AI for Sustainability, the ELIAS Alliance has close links to the European Laboratory for Learning and Intelligent Systems (ELLIS) which brings together the strongest AI research labs in Europe and serves as a one-stop shop for PhD and postdoc candidates to find their best matching supervisors. Building on this academic excellence network, the ELIAS Alliance is now making a push to integrate value-creation literacy and future skills into academic curricula, linking talent between academia and business across Europe. Each ELIAS node operates as an entrepreneurial hub, leveraging the unique strengths and ecosystems of its location, and creating new possibilities for students to earn their degrees with innovation-centric research projects. Key figures within the Alliance, including Matthias Bethge, Director of the Tübingen AI Center, and Jessica Montgomery, Director of ai@cam and Co-head of the ELIAS Node Cambridge, spoke to the transformative potential of AI and the mission of ELIAS. 

    Bethge, a main initiator of the Alliance, noted “I envision a future where science becomes a place of intellectual pursuit that combines knowledge and value creation as two sides of the same coin. AI has the power to drive meaningful innovation by transforming technology and empirical science. In education, for instance, AI holds immense potential to empower self-directed learning and foster future skills, benefiting all learners. At the same time, AI can elevate education research by providing deep insights into the actual needs of students, teachers, and other stakeholders through large-scale data collection and analysis.”

    Matthias Bethge
    Jessica Montgomery

    Montgomery, echoed Bethge’s perspective, adding “Advances in AI are giving us an increasingly powerful set of tools that could help tackle some of the major challenges that society faces. We need to do more to translate our technical capabilities to widespread public benefit. ELIAS is helping build an infrastructure for interdisciplinary innovation with AI that will tackle real-world problems.

    Looking Ahead: Programmes to Support AI Talent and Innovation

    Highlights from the event included presentations on two new initiatives supported by the ELIAS Alliance: the “Open Sci” foundation model project and the “AI Launchpad” accelerator. Ann-Lauriene Schumacher from ETH AI Center explained: “With the AI Launchpad, we are building a pan-European accelerator program as a one-stop shop to support innovative startups and fostering the European exchange in terms of knowledge, resources and financing.”

    These initiatives reflect the ELIAS Alliance’s commitment to catalysing open science and supporting the next generation of AI innovators through access to advanced tools, mentorship, and networking. During the event, representatives from each ELIAS Node shared insights into their current projects, showcasing the breadth and diversity of innovation tailored to the unique strengths of their regions. Dimosthenis Karatzas, Associate Director of the Computer Vision Center in Barcelona and Co-head of the ELIAS Node there, shared his thoughts on Europe’s potential: “While Europe is at the forefront of AI talent and knowledge, much of the real-world impact is currently happening outside our borders. ELIAS offers a platform that combines AI expertise with entrepreneurial skills, enabling us to scale up AI-driven innovation in Barcelona and collaborate seamlessly with other top innovation hubs across Europe.”

    The Alliance also unveiled plans for a European MSc Graduation Project Program and an annual Sciencepreneur Meeting, both designed to promote knowledge exchange and cultivate thought leadership in AI value creation across Europe. Through these initiatives, the ELIAS Alliance will nurture a robust European ecosystem of talent, entrepreneurship, and AI advancement that supports sustainable, high-impact innovation.

    A Vision of European AI Leadership

    The ELIAS Alliance represents Europe’s decisive step towards fostering AI “made in Europe.” By connecting academia, industry, and startup ecosystems, ELIAS is paving the way for a future in which AI and innovation thrive together, building a sustainable economy while addressing the needs and values of European society.

    About the Event

    The Falling Walls AI Night, held on 8 November 2024 in Berlin, is part of the annual Falling Walls Summit, which celebrates global scientific breakthroughs. This unique event attracts researchers, decision-makers, CTOs, and strategists, fostering interdisciplinary discourse.

    Initiated by the Falling Walls Foundation, the event features competitions for emerging talents and science startups on 7 November. The Falling Walls Circle on 8 November allows global leaders to discuss grand challenges, culminating in the recognition of the Falling Walls Science Breakthroughs of the Year on 9 November. This gathering underscores Berlin’s status as a key hub for science and innovation.

    Press Release: ELIAS Alliance Launch – 12/11/2024

    Contact

    Aygun Garayeva, PR Manager, ELIAS

    Nicu Sebe, Coordinator, ELIAS

    elias-coordination@unitn.it

    ELLIS PhD Program: Call for applications 2024

    ELLIS PhD Program: Call for applications 2024

    The ELLIS PhD program is a key pillar of the ELLIS initiative whose goal is to foster and educate the best talent in machine learning and related research areas by pairing outstanding students with leading academic and industrial researchers in Europe. The program also offers a variety of networking and training activities, including summer schools and workshops. Each PhD student is co-supervised by one ELLIS fellow/scholar or unit faculty and one ELLIS fellow/scholarunit faculty or member based in different European countries. Students conduct an exchange of at least 6 months with the international advisor during their degree. One of the advisors may also come from industry, in which case the student will collaborate closely with the industry partner, and spend min. 6 months conducting research at the industrial lab. A new interdisciplinary track has also recently been introduced, in which students are co-supervised by an ELLIS fellow/scholar and a tenured faculty (if they are not an ELLIS fellow/scholar themselves), whose main expertise is different than machine learning/AI (for instance, biology, law or social sciences and humanities). For more information, the specific requirements for each track can be found down below or here.

    Research Areas

    AutoML • Bayesian & Probabilistic Learning • Bioinformatics • Causality • Computational Neuroscience • Computer Graphics • Computer Vision • Deep Learning • Earth & Climate Sciences • Health • Human Behavior, Psychology & Emotion • Human Computer Interaction • Human Robot Interaction • Information Retrieval • Interactive & Online Learning • Interpretability & Fairness • Law & Ethics • Machine Learning Algorithms • Machine Learning Theory • ML & Sustainability • ML in Chemistry & Material Sciences • ML in Finance • ML in Science & Engineering • ML Systems • Multi-agent Systems & Game Theory • Natural Language Processing • Optimization & Meta Learning • Privacy • Quantum & Physics-based ML • Reinforcement Learning & Control • Robotics • Robust & Trustworthy ML • Safety • Security, Synthesis & Verification • Symbolic Machine Learning • Unsupervised Learning

    ELIAS offers an exceptional opportunity to engage in cutting-edge research across various impactful fields. These include Robust and Trustworthy Machine Learning, ensuring the development of secure and resilient AI systems; Machine Learning in Chemistry and Material Sciences, applying AI to uncover new solutions; Interpretability and Fairness, focusing on transparency and equity in AI models; ML and Sustainability, leveraging AI to address global environmental challenges; Earth and Climate Sciences, advancing understanding of climate change; and Law and Ethics, exploring the legal and moral dimensions of AI. This is a unique chance to contribute to critical interdisciplinary research at the forefront of technology.

    How to apply

    Interested candidates should apply online through the ELLIS application portal by November 15th, 2024, 23:59 CET. Applicants first need to register on the portal. After registering, applicants will receive their login details for the portal and can submit their application via apply.ellis.eu. Please read our FAQs and webpage before applying, as well as the details below. Only complete applications will be considered.

    Important dates:
    • October 2024: Application portal opens
    • November 15, 2024, 23:59 CET: application deadline (firm)
    • November/December 2024: review stage
    • January/February 2025: interview stage
    • Late February/March 2025: decisions
    • Program start: there is no common start for the PhD (depends on the advisor/institution)
    Diversity & Inclusion

    ELLIS values diversity and seeks to increase the number of women in areas where they are underrepresented. We therefore explicitly encourage women to apply. We are also committed to recruiting more people living with disabilities and strongly encourage them to apply.

    Admission to the program is competitive. In a typical round, less than 5% of all registered applicants, and between 5-10% of eligible applicants are accepted. Based on previous rounds, we expect that about 150 advisors in the ELLIS network will be participating in the upcoming round.

    Additional information

    Advisor and time-sharing requirements

    ELLIS PhDs are co-supervised by one ELLIS fellow/scholar/unit faculty and one ELLIS fellow/scholar/member, both based in Europe. During the selection process, the main focus will be on finding a match with the primary advisor. A list of available advisors with open positions will be published on the application portal. Only advisors who participate in the current call (i.e. those that are listed on the portal in the “Advisor List”) are eligible to recruit ELLIS PhDs.

    Finding a co-advisor can be done at a later stage, up to 5 months after acceptance to the program. The primary advisor and student decide on a co-advisor together.

    Exchange and time-sharing:

    • Academic Track: During their appointment, the PhD student must visit the secondary advisor in a different European* country for min. 6 months (partitioning of the time is flexible). *Exception: In the academic track, the co-supervisor can be based outside of Europe, but must in that case be an ELLIS fellow or scholar.
    • Industry Track: The candidate will spend a minimum of 50% of their time at the academic partner institution and a minimum of 6 months with the industry partner. This can be accumulative (e.g. 2 days per week) or consecutive. The industry partner, industrial research lab, and industry advisor must all be based in Europe (regardless of HQ location), but can otherwise be in the same country/city as the academic partner.
    • Interdisciplinary Track: The PhD student will spend a minimum of 50% of their time with their primary advisor and a minimum of 6 months** with the secondary advisor (expert in a field unrelated to machine learning/AI). This can be accumulative (e.g. 2 days per week) or consecutive. The secondary advisor must be based in Europe, but can otherwise be in the same country/city/university as the academic partner. **Exception: If both advisors are located in the same university (different departments), then no 6-month visit is required, but the PhD candidate should meet regularly with their second advisor. Additionally, in that case, the student is then encouraged to spend at least one month abroad during their thesis.
    • The PhD degree must come from a European institution.
    Application process

    As part of the application procedure, you will be able to indicate preferences for specific research areas and potential supervisors who are participating in this year’s current recruiting round. The list of ELLIS advisors who are recruiting and their research areas will be available on the application portal. For questions about eligibility, please see our FAQs. Note that in the current call, ELLIS faculty are looking to recruit new students; if you’re already doing a PhD with an ELLIS advisor and are interested in the ELLIS PhD program, please read this FAQ.

    Important note:

    Some of the listed advisors on the portal will mention in their profile that their institution requires you to apply in parallel through their official channels (referred to as “Parallel application necessary? Yes.”).

    Some institutions do not accept graduate students throughout the year, but have strict deadlines for applying to their graduate programs (for instance, December or earlier) which overlap with the call’s timeline. In this case, you should not wait until the ELLIS selection procedure has ended, but apply in parallel through the advisor’s institution. If you do not, or fail to meet the deadline, you might have to wait until the next year to enrol as a PhD student, despite having received an offer prior. In a worst case scenario, this might even jeopardise your offer as the advisor might not be in a position to wait/will lose the funding for this particular PhD position if the deadline is not met.

    If unsure, visit the website of the institution or contact your preferred advisor. It’s safest to apply to both programs in parallel to avoid any delays in the starting date of your contract.

    The application consists of three parts:

    (1) Application form. In the application form, you provide your personal details, indicate your preferences for research fields and advisors and list relevant degrees and experience.

    (2) Documents. You will need to upload the following documents (as PDFs):

    • A two-page motivational letter in which you (1) explain why you want to earn a PhD within the ELLIS network and (2) include a research statement describing past research projects and interests as well as the future direction of your research. (Optional: In addition to (1) and (2), you may also mention specific advisors you are interested in working with.)
    • Your current CV that details your educational background, work experience, full citations of any publications you may have, any research presentations you have given, and any awards you have received.
    • Unofficial transcripts of all of your university studies (BSc, MSc), as well as a translation into English.
    • Optionally, additional documents such as a thesis, published paper, or project portfolio, (or parts thereof) as a single PDF (<20 MB).

    (3) References. You will also be asked to provide the contact details of min. 2 referees (max. 3) who have agreed to submit a reference. You should contact your referees personally before you send a formal request via the portal. Contacting your referees directly beforehand ensures that they are willing to write a strong recommendation and will have the time to do so before the specified deadline. Recommendation letters must be requested via the portal before the application deadline on November 15(*). After you’ve requested a reference, the referee will be contacted via the system to submit their recommendation by November 25.

    Choose your referees carefully and think about who is best qualified to write you a strong recommendation. Referees must be able to assess your academic performance and research abilities. At least two of the referees should be professionally established at the level of independent investigator, principal scientist, group leader, lecturer or above. A maximum of one reference may come from a postdoc. We recommend that you include the principal investigator who supervised your thesis work. Professional references are accepted, as long as the referee can comment on your academic/research abilities (e.g. referees from industrial research labs). References from PhD students or class mates are not accepted.

    (*) Applicants must submit their reference requests via the portal BEFORE the general application deadline on November 15, 2024 (23:59 CET). After receiving the request, referees have time until November 25, 2024 (23:59 CET) to submit their recommendation. Note that it will NOT be possible for applicants to request a reference or to send a reminder via the portal after the application deadline on November 15, 23:59 CET. Also, all the other components of the application (application form, documents) need to be completed before November 15, 23:59 CET, in order to be considered. Applications that are missing the necessary number of reference letters by November 25, 23:59 CET, are incomplete and are no longer considered in the selection process.

    Contact

    phd@ellis.eu – PhD Coordination Office

     

    The ELLIS PhD Program has received funding from the European Union’s Horizon 2020 research and innovation programme under ELISE Grant Agreement No. 951847 (2020 – 2024), and is continued with funding from the Horizon Europe research and innovation programme under ELIAS grant agreement number 101120237 (2023 – 2027). The program is also expanded by the EU-funded project ELSA under grant agreement number 101070617 (2022 – 2025).

    Over 100 PhD students from across Europe gather in Paris for this year’s ELLIS Doctoral Symposium

    Over 100 PhD students from across Europe gather in Paris for this year’s ELLIS Doctoral Symposium

    Over 100 PhD students from across Europe gather in Paris for this year’s ELLIS Doctoral Symposium

    Five days of networking and insightful exchanges on the latest machine learning research: Paris was the location of this year’s ELLIS Doctoral Symposium (EDS) under the theme of ‘AI and Sustainability’. More than 100 PhD students from institutions all over Europe gathered in the French capital for a vibrant conference featuring keynotes by top AI experts, poster sessions, an industry fair and numerous opportunities to exchange ideas and discuss each other’s research. 

    The EDS is an annual conference for ELLIS PhD students and other PhD students, and the highlight among the many training activities in the ELLIS PhD Program. It brings together numerous young researchers from all over Europe representing different disciplines related to machine learning. This year’s event was hosted by the Institut Polytechnique de Paris at the campus “Les Cordeliers” (Sorbonne University), where top AI researchers from academia and industry enriched the program with keynote lectures. Among them were Rita Cucchiara (Universitá degli Studi di Modena e Reggio Emilia and Head of the ELLIS Unit Modena), Devis Tuia (EPFL), Gaël Varoquaux (Inria Saclay), David Rolnick (McGill University and Mila – Quebec AI Institute), Caroline Therwath-Chavier (The Allyance), and Tiphaine Viard (Telecom Paris). 

    An industry fair and social events facilitated intense exchanges

    The ELLIS PhD and Postdoc Program features several tracks, one of which promotes collaboration with an industry partner (Industry Track). Students partaking in this track aim to pursue a career in industry or entrepreneurship after they obtain their PhD degree. To that end, the EDS offers an industry fair to give those students – or any student interested in the industrial sector – the opportunity to exchange with industry representatives or learn more about what it takes to be an entrepreneur. Companies such as G-Research and Novartis joined the event again after attending the previous edition (EDS23 Helsinki), while local organisations (JustAI, AIForensics) were keen to take part in an ELLIS event for the first time.

    The EDS participants not only had the opportunity to engage with each other, senior scientists and industry experts through lectures, the fair, and poster sessions. Additionally, social events such as a treasure hunt or a gala dinner (at Salons de l’hôtel des arts et métiers) provided ample time for making new connections and sharing experiences in a relaxed setting. 

    One of the attendees of this year’s EDS was ELLIS PhD student Jan Schneider from the Max Planck Institute for Intelligent Systems in Germany. He highlighted the network character of ELLIS in a positive light and envisions using his PhD to improve the world by developing robots that support humans.

    This year’s EDS theme ‘AI and Sustainability’ is closely tied to the EU-funded ELIAS project, which supported the organisation of the event. ELIAS, a consortium of 34 partners, aims to position Europe as a leader in Artificial Intelligence research that drives sustainable innovation and economic development. Researchers from the ELIAS community took part in the event and presented their work: Gregor von Dulong, one of the experts who joined the entrepreneurship session, is a Venture Architect at the Hasso Plattner Institute in Potsdam, Germany, and highlighted the project’s impact:

    “ELIAS offers students an amazing network, gives them access to top researchers, and fosters the European spirit of bringing people together, all while focusing on sustainability in AI research.”

    Rita Cucchiara from UNIMORE, the ELIAS Project Partner, led a discussion on “Learning, Unlearning, and Relearning” — an emerging topic that explores how machines can forget knowledge acquired during pre-training.

     

     “Unlearning not only challenges how we remove unwanted concepts in AI but raises ethical and sustainability concerns. Do we trust AI systems if they can be made to forget? Is it better to retrain from scratch or modify after training?”

     

    She referenced new research from the ELLIS Unit in Modena on unlearning toxicity in multimodal LLMs. This debate emphasised the link between technical AI expertise and social responsibility.

    Other notable ELIAS speakers included  Claire Robin from MPG (EarthNet: Bringing biogeoscience and machine learning together), and Gaël Varoquaux from INRIA (AI from tabular data to healthcare and society). 

    Award for the best poster

    During the event, an award was given to PhD students that presented an outstanding poster at the conference. The winners of the ‘best poster award’ are Simone Antonelli from CISPA Helmholtz Center for Information Security (Data valuation for graphs), and Sebastian Sanokowski from Johannes Kepler Universität Linz (A diffusion model framework for unsupervised neural combinatorial optimisation).

    ELLIS Doctoral Symposium 2025 will take place at the ELLIS Unit in Warsaw

    As this year’s EDS has come to a successful close, plans for next year are already in motion. The ELLIS Doctoral Symposium 2025 with the theme “Robust AI” will take place in Poland. It will be organised by the ELLIS Unit Warsaw at IDEAS NCBR in partnership with the Faculty of Mathematics, Informatics and Mechanics of the University of Warsaw. 

    Feedback survey

    The event was organised by the Institut Polytechnique de Paris (IPP) through the ELIAS project, with further support from the University of Amsterdam (ELISE), ELLIS and ELSA.

    If you participated in the EDS24, we would very much appreciate your feedback here. It helps us improve each year and offer the best experience possible to the ELLIS Community.

    More information 

    Video and more material

    Image gallery: Find a gallery with impressions from the event here.

    Find a recap video published by Institut Polytechnique de Paris (IPP) here.

    Take a look at the material presented during the symposium: EDS 2024 Keynote Presentation & EDS 2024 Presentations

    About the ELLIS PhD Program

    The ELLIS PhD Program is a key pillar of the ELLIS initiative whose goal is to foster and educate the best talent in machine learning and related research areas by pairing outstanding students with leading academic and industrial researchers in Europe. Each PhD student is co-supervised by two researchers from the ELLIS community based in different countries, and conducts an exchange of at least six months with the international advisor during their degree. PhD students part of the program can choose between the academic, industry and interdisciplinary track. Research fields they have access to range from computer vision, health and robotics to machine learning theory, privacy, natural language processing, climate sciences and more. The program also offers a variety of networking and training activities, including summer schools, workshops and the annual ELLIS Doctoral Symposium. Learn more here

    Next round of applications for the ELLIS PhD Program

    The ELLIS PhD Program will soon recruit again. The application portal for this year’s central recruitment will open in October 2024. Candidates from all over the world will be able to browse plenty of PhD opportunities with different advisors and institutions across Europe, and reach many top machine learning labs with just a single application. Application deadline is 15 November 2024. Find all information on how to apply in this call.  

    Watch the ELLIS PhD Program video and these short video testimonials recorded by some of our students across Europe to get an impression of what it’s like to be an ELLIS PhD student.

    To stay up to date on the latest news about the program, follow ELLIS on X, LinkedIn, Mastodon and Facebook, and subscribe to the monthly ELLIS email newsletter.

    The ELLIS PhD Program has received funding from the European Union’s Horizon 2020 research and innovation programme under ELISE Grant Agreement No. 951847 (2020 – 2024), and is continued with funding from the Horizon Europe research and innovation programme under ELIAS Grant Agreement number 101120237 (2023 – 2027). The program is also expanded by the EU-funded project ELSA under grant agreement number 101070617 (2022 – 2025).