De: Guillermo Palao Moreno <Guillermo.Palao@uv.es>Asunto: GI+dPI III VALENCIA INTERNATIONAL MEETING ON COMPETITION LAWFecha: 5 de febrero de 2024, 06:12:38 PETPara: Guillermo Palao Moreno <guillermo.palao@uv.es>Por si fuera de vuestro interés,
Un abrazo,
GI+dPI
III VALENCIA INTERNATIONAL MEETING ON COMPETITION LAW “DOMINANCE, DEPENDENCE AND MERGERS IN DIGITAL MARKETS”
22nd and 23rd February 2024
Universitat de València Law School
Conference Room “Salón de Grados”Directors:
Prof. Dr. Juan Ignacio Ruiz Peris (Catedrático de Derecho mercantil UVEG)
Profa. Dra. Carmen Estevan de Quesada (Catedrática de Derecho mercantil UVEG)Secretary:
Miquel Aznar CompanyProyecto PID 2021-128111OB-I00, (2022-2025) Concentración, daños, abuso y cooperación en los mercados digitales, del Ministerio de Ciencia e Innovación
Proyecto CIACO/2021/202 (2022 – 2024) Competition Power Control (COMPOWCONT)Contact: miquel.aznar@uv.es
Scientific committee:
Chair: Prof. Dr. Juan Ignacio Ruiz Peris (Universitat de València).
Members: Prof. Dr. Marco Bottta (European University Institute), Prof. Dra. Carmen Estevan de Quesada (Universitat de València), Prof. Dr. Jens-Uwe Franck (Universität Mannheim), Prof. Dr. Björn Lundqvist (Stockholms universitet), Profa. Dra. Simonetta Vezzoso (Università di Trento), Ass. Prof. Dr. Pedro José Bueso Guillen (Universidad de Zaragoza), Ass. Prof. Dr.Carlos Gómez Asensio (Universitat de València), Ass. Prof. Dr. Francisco Hernández Rodríguez, (Universidade de Santiago de Compostela), Ass. Prof. Dra. Carmen Herrero Suarez (Universidad de Valladolid), Ass. Prof. Dr. Eugenio Olmedo Peralta (Universidad de Málaga), Ass. Prof. Dra. Carmen Rodilla Martí. Universitat de València.PROGRAMME
THURSDAY 22nd
16:00 CONGRESS OPENING.
16:05-17:15 FIRST PANEL: THE 10th. AND 11th. GWB NOVELLE NEW TOOLS AND ITS APPLICATION ON DIGITAL MARKETS.
– “Germany's new tool against abuse by digital gatekeepers: an overview of the Bundeskartellamt's practice”.
Prof. Dr. Jens-Uwe Franck, Universität Mannheim.
– “The new paragraph 32f GWB and the german Sektoruntersuchung”.
Prof. Dr. Juan Ignacio Ruiz Peris, Universitat de València.
17:15-17:30 COFFEE BREAK.
17:30-20:00 SECOND PANEL: MERGERS IN DIGITAL MARKETS.
– “Conglomerate mergers… back in action in digital markets?”.
Ass. Prof. Dra. Carmen Herrero Suarez, Universidad de Valladolid.
– “Commitments in merger control in the digital platform arena”.
Ass. Prof. Dra. Carmen Rodilla Martí. Universitat de València.
– “Startups and killer acquisitions”.
Ass. Prof. Dr.Carlos Gómez Asensio. Universitat de València.
– “Innovation and ecosystem theories of harm in digital mergers”.
Ass. Prof. Dr. Francisco Hernández Rodríguez. Universidade de Santiago de Compostela.FRIDAY 23rd
09:30-11:30 THIRD PANEL: ABUSE OF DOMINANCE AND DIGITAL MARKETS.
– ” Innovation competition and abuse of dominance in the AI age”.
Profa. Dra. Simonetta Vezzoso , Università di Trento.
– “Dominance, bigtech and payment services: regulatory approaches”.
Ass. Prof. Dr. Pedro José Bueso Guillen, Universidad de Zaragoza.
-“Strengthening the Duopoly of Mobile Operating Systems: Android and iOS Tying and Self-Preferencing Practices”.
Ass. Prof. Dr. Eugenio Olmedo Peralta. Universidad de Málaga.
11:30-12:00 COFFEE BREAK.
12:00-14:00 FOURTH PANEL: DATA PROTECTION IN DIGITAL MARKETS.
– “User’s consent under Art. 5(2) Digital Markets Act (DMA): Exploring the complex relationship between the DMA and the GDPR”.
Prof. Dr. Marco Botta. European University Institute.
– “Regulation of access and transfer of data”.
Prof. Dr. Björn Lundqvist. Stockholms universitet.
– “Data protection related abuses by digital platforms”.
Profa. Dra. Carmen Estevan de Quesada, Universitat de València.
14:00 LUNCH.
16:00 COMMUNICATIONS.
– “The text and data mining exception and market power”.
Ass. Prof. Dr. Antonio Alonso-Bartol Bustos, Universidad de Salamanca.
– “Forced free riding in digital markets: comparing the US and EU approaches”.
Ass. Profa. Dra. Sofia Oliveira País and Mrs. Benedita Sequeira, Universidade Católica Portuguesa, Centro Regional do Porto.
– “Cloud gaming services: A distinct product market? Analysis of the issue after Activision Blizzard’s adquisiton by Microsoft”.
Mr. Miquel Aznar Company, Pre-doctoral researcher, Universitat de València.
Fwd: GI+dPI III VALENCIA INTERNATIONAL MEETING ON COMPETITION LAW
February 5th, 2024 
Daniela Lopez de Luise Andescon 2024 – Cusco 11-14 setiembre 2024
February 5th, 2024 Daniela Lopez de Luise 
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/andescon2024International Conference ICICDS 2024 – Proceedings by Springer (AIS) – Reva University, Bengaluru, India
February 5th, 2024 Daniela Lopez de Luise |
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Dear Researcher Following the success of organizing international conferences events, Reva University is happy to announce the 2024 international conference event, which is mainly focused on the Data Analysis, Cybersecurity, and Artficial Intelligence (AI). The Virtual (Online) Paper Presentation is Permitted REGISTRATION FEE – INR 9500 / USD 170 Publication within a period of 10-14 Weeks from the Conference Date ICICDS 2024 Publication Details
For More Conferene Related Detials: To know more information, download ICICDS 2024 Conference Brochure https://icicds.com/ICICDS-Brochure.pdf Proceedings of ICICDS 2024 will be published in Springer Algorithms for Intelligent Systems (AIS) to enhance visibilty and discoverability of published research. Here are the few advantages of publishing your work in Springer Quality: Springer articles and books are subject to high-level peer review, editorial, author and production services, ensuring the quality and reliability of the work. Speed: Springer offer fast publication while providing rigorous peer review to maintain the integrity of information. Impact: Springer is proud of the impact and influence it has – from citations to social media shares; from advancing discovery within individual disciplines to affecting public discourse and policy making. Visibility: Springer is committed to promoting your research as widely as we can and providing as much visibility and exposure for your article as possible. For Conference-related Queries: Regards |
Call for papers – held in conjunction with IEEE FG 2024
February 5th, 2024 Daniela Lopez de Luise Analysis (SD-FGA 2024)
Held in the scope of IEEE FG 2024
27 or 31 May 2024 (TBD), Istanbul, Turkey
https://sites.google.com/view/sd-fga2024/
Paper submission: 17 March 2024, 11:59pm PST
*****************************
*** Call for Papers ***
Recent advancements in generative models within the realms of computer
vision and artificial intelligence have revolutionized the way
researchers approach data-driven tasks. The advent of sophisticated
generative models, such as GANs (Generative Adversarial Networks), VAEs
(Variational Autoencoders), or more recently diffusion models, has
empowered practitioners to create synthetic data that closely mirrors
real-world scenarios. These models enable the generation of
high-fidelity images and sequences, laying the foundation for
groundbreaking applications in face and gesture analysis. The
significance of these generative models lies in their ability to produce
synthetic data that is remarkably realistic, thereby mitigating
challenges associated with data scarcity and privacy concerns. As a
result, the utilization of synthetic data has become increasingly
prevalent in various research domains, offering a versatile and ethical
alternative for training and testing machine learning algorithms.
This workshop aims to delve into the diverse applications of synthetic
data in the realm of face and gesture analysis. Participants will
explore how synthetic datasets have been instrumental in training facial
recognition systems, enhancing emotion detection models, and refining
gesture recognition algorithms. The workshop will showcase exemplary use
cases where the integration of synthetic data has not only overcome data
limitations but has also fostered the development of more robust and
accurate models. As researchers increasingly recognize the potential of
synthetic datasets in shaping the future of computer vision and machine
learning, there arises a demand for a collaborative platform where ideas
can be exchanged, methodologies shared, and challenges addressed. This
workshop aims to bridge the gap between theoretical knowledge and
practical implementation, fostering a community of experts and
enthusiasts dedicated to advancing the frontiers of synthetic data in
face and gesture analysis.
Topics of interest include, but are not limited to:
+ Novel generative models for face and gesture synthesis
+ Label generation for synthetic data
+ Information leakage in synthetics data
+ Data factories for training biometric (detection, landmarking,
recognition) models
+ Synthetic data for data augmentation
+ Data synthesis for bias mitigation and fairness
+ Quality assessment for synthetic data
+ Synthetic data for privacy protection
+ Novel applications of synthetic data
+ New synthetic datasets and performance benchmarks
+ Applications of synthetic data, e.g., deepfakes, virtual try-on, face
and gesture editing
*** Paper format and submission ***
ESSAI 2024 CALL FOR COURSE PROPOSALS
February 5th, 2024 Daniela Lopez de Luise July 15-26, 2024
Athens, Greece
IMPORTANT DATES
07 Feb 2024: Course Title submission deadline (mandatory)
14 Feb 2024: Final submission
06 Mar 2024: Notification
ABOUT
ESSAI 2024 is the second edition of the annual summer school on AI held
under the auspices of the European Association for Artificial Intelligence
(EurAI).
ESSAI 2024 will provide an interdisciplinary setting in which courses are
offered in all areas of Artificial Intelligence and also from wider
scientific, historical, and philosophical perspectives. ESSAI is a central
meeting place for students and young researchers in Artificial
Intelligence to discuss current research and share knowledge. Courses will
consist of five 90-minute sessions, offered daily (Monday-Friday) in a
single week, to allow students to develop in-depth knowledge of a topic.
The first edition of ESSAI was held in Ljubljana, Slovenia
(https://essai.si/ ) between the 24th and 28th of July 2023 and was
extremely successful, attracting over 500 participants. We look forward to
a second edition of ESSAI that is at least as successful.
TOPICS AND FORMAT
ESSAI aims to cover all subdisciplines of AI and the interactions between
them.
Proposals for courses at ESSAI 2024 are invited in all areas of Artificial
Intelligence, including but not limited to the following:
* Autonomous Agents and Multi-agent Systems (MAS)
* Causality and Causal Learning (CL)
* Ethical, Legal and Social Aspects of AI (ELS)
* Foundation Models (FM)
* Knowledge Representation and Reasoning (KR)
* Learning Theory (LT)
* Natural Language Processing (NLP)
* Neuro-Symbolic Learning and Reasoning (NSLR)
* Planning and Strategic Reasoning (PLAN)
* Reinforcement Learning (RL)
* Robotics (ROB)
* Safe, Explainable and Trustworthy AI (SET)
* Search and Optimization (SO)
* Supervised and Unsupervised Learning (ML)
* Vision (VIS)
Each course will consist of five 90-minute lectures, offered daily
(Monday-Friday) in a single week.
While introductory courses will typically focus on one subarea of AI,
advanced courses are encouraged to present a broader perspective on AI and
should be of interest beyond one specific area.
CATEGORIES
Each proposal should fall under one of the following categories.
INTRODUCTORY COURSES
Introductory courses are intended to introduce a research field to
students, young researchers, and other non-specialists, and to foster a
sound understanding of its basic methods and techniques. Such courses
should enable researchers from related disciplines to develop some comfort
and competence in the topic considered. Introductory courses in a
cross-disciplinary area may presuppose general knowledge of the related
disciplines.
ADVANCED COURSES
Advanced courses are targeted primarily to graduate students who wish to
acquire a level of comfort and understanding in the current research of a
field.
PROPOSAL GUIDELINES
To be considered, course proposals should closely adhere to the following
guidelines:
* Courses must be presented by lecturers who submitted the proposal. For
courses with more than two lecturers, the role of each lecturer should be
clearly explained and justified in the proposal.
* Course proposals should explicitly state the intended course category.
Proposals for introductory courses should indicate the intended level, for
example, as it relates to standard textbooks and monographs in the area.
Proposals for advanced courses should specify the prerequisites in detail.
Proposals must be submitted in PDF format via:
https://easychair.org/conferences/?conf=essai2024
and include all the following:
1. Personal information for each proposer: Name, affiliation, contact
address, email, homepage (optional)
2. General proposal information: Title, category
3. Information about the course content:
a. Abstract of up to 150 words
b. Motivation and description (up to two pages)
c. Tentative outline
d. Expected level and prerequisites
e. Appropriate references (e.g., textbooks, monographs, proceedings,
surveys)
f. Whether the course will appeal to students outside of the main
discipline of the course
4. Information about the proposer(s):
a. Short CVs of the proposer(s)
b. Evidence that the proposer(s) are excellent lecturers with relevant
teaching experience, in particular in delivering intensive courses in an
interdisciplinary setting.
To keep participation fees to a minimum, all the instructional and
organizational work of ESSAI is performed on a completely voluntary basis.
However, the registration fees of organizers and instructors will be
waived. In addition, and where appropriate, ESSAI will seek to partially
reimburse travel and accommodation expenses associated with delivering a
course. If lecturers can cover their travel and accommodation expenses
from other sources, this is greatly appreciated.
SUBMISSION INFORMATION
By February 7, 2024: Proposers must submit on EasyChair at least the
name(s) of the lecturers(s), the ESSAI area and course level and a short
abstract.
By February 14, 2024: Submission must be completed by uploading a PDF with
the actual proposal as detailed above.
SUBMISSION PORTAL
Please submit your proposals to
https://easychair.org/conferences/?conf=essai2024
ORGANIZING COMMITTEE
Chair: Brian Logan, Utrecht University
Co-chair: Magdalena Ortiz, TU Wien
Local Chair: Manolis Koubarakis, National and Kapodistrian University of
Athens
ESSAI Steering Committee Chair (EurAI Board representative): Giuseppe De
Giacomo, Oxford University