Nuevo curso de posgrado y de formación profesional: INTRODUCCIÓN AL ECOSISTEMA EMPRENDEDOR DESDE LA CIENCIA E INVESTIGACIÓN

March 2nd, 2026 Daniela Lopez de Luise

La Facultad comunica el lanzamiento de su nuevo curso de posgrado y de formación profesional «INTRODUCCIÓN AL ECOSISTEMA EMPRENDEDOR DESDE LA CIENCIA E INVESTIGACIÓN».

El objetivo central es brindar herramientas prácticas para desarrollar una mirada ecosistémica, de innovación y empresarial de proyectos de investigación y científicos. En cuanto a las inscripciones, se encuentran abiertas hasta el 12/03, con cupos limitados.

Arancel completo del curso: $840.000 (consultar por modalidades de pago). Contamos con becas disponibles para comunidad Exactas-UBA. ¡En el caso de docentes, doctorandxs e investigadorxs de Exactas-UBA, el curso está 100% bonificado!

A continuación, te compartimos la información general del curso y al pie, el plan de estudios.

¿Dónde?
Virtual + 2 encuentros presenciales en el Edificio Cero + Infinito (Ciudad Universitaria, CABA).

Modalidad intensiva
• 30 clases teórico-prácticas
• Encuentros con referentes del ecosistema empresarial local
• Docentes con experiencia en el mundo emprendedor y de negocios

¿Cuándo?
Abril a mayo de 2026. De lunes a jueves, de 14 a 17 hs.

El curso otorgará puntos para el doctorado. Además, si conocés a alguien que pueda estar interesadx, no dudes en pasarle esta información y decirle que se inscriba en el siguiente link: Formulario de inscripción

Quedamos a disposición por cualquier consulta. ¡No te pierdas esta oportunidad!

Programa 2026 – Plan de estudios
INTRODUCCIÓN AL ECOSISTEMA EMPRENDEDOR DESDE LA CIENCIA E INVESTIGACIÓN

MÓDULO I · DESARROLLO EMPRENDEDOR

Semana 1
Características del Desarrollo Emprendedor (DE). Gestión de ideas. Competencias en habilidades blandas. Gestión del comportamiento.

Semana 2
Mapeo y relevamiento de territorio. Proyecto emprendedor. Herramientas prácticas: Matriz FODA y Matriz PESTEL.

MÓDULO II · HERRAMIENTAS DE NEGOCIOS

Administración financiera. Análisis de costos.

Semana 3
Gestión financiera. Planificación comercial. OKR y KPI aplicados a proyectos de negocios.

Semana 4
Metodologías ágiles. Modelo CANVAS. Proyecto individual: Validación en matrices. Presencial: Validación del proyecto individual como negocio.

MÓDULO III · INNOVACIÓN Y EMPRENDEDORISMO

Semana 5
Perspectiva de género desde la ciencia y la investigación. Género, producción, ciencia y tecnología. Emprendedorismo e innovación.

Semana 6
Innovación aplicada al desarrollo territorial. Creación de startups y EBTs (Empresas de Base Tecnológica).

Semana 7
Proyecto grupal: Creación de nueva empresa y análisis en matrices. Promoción de I+D.

MÓDULO IV · MIRADA ECOSISTÉMICA

Diseño de marco normativo y regulatorio.

Semana 8
Proceso emprendedor en EBTs y spin-offs. Factores que contribuyen e inhiben. Desarrollo y consolidación de ecosistemas. Ecosistema local: Polo Exactas. Identificación. Presencial final: Design Thinking.

Saludos cordiales,

Subsecretaría de Graduados/as
Facultad de Ciencias Exactas y Naturales
Universidad de Buenos Aires
exactas.uba.ar

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(Scopus Q4 | JCR 0.4 | SciELO) Call for Papers – Veredas do Direito Journal

February 27th, 2026 Daniela Lopez de Luise

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CfP: CVPR 2026 Workshop on Interactive Physical AI

February 24th, 2026 Daniela Lopez de Luise
We welcome and invite you to participate in the 1st Workshop on Interactive Physical AI. This half-day event will be held at CVPR 2026 in Denver, Colorado in June 2026.  
*****************************************************************
Event: Workshop on Interactive Physical AI 
Location: Denver, Colorado (CVPR 2026) 
3rd or 4th June, 2026
*****************************************************************
Workshop Overview: Interactive Physical AI
Advances in multimodal learning, embodied intelligence, and conversational AI are transforming how humans interact with intelligent AI systems in our physical world. These Interactive Physical AI (IPA) systems can simultaneously perceive humans and scenes with multimodal signals, communicate with verbal and nonverbal behaviors, and act safely and effectively under physical-world constraints in shared spaces. Embodiments of IPA include robots, physically-grounded and environment-aware avatars (e.g., AR telepresence), and on-device audio-visual agents that interact with humans in the physical world. 
This workshop will bring together researchers from computer vision, robotics, and multimodal AI to discuss the full scope of interactive physical AI systems and research challenges to advance this frontier. The program will include invited talks from speakers, as well as posters and spotlight talks of accepted papers. 
Call-for-Papers 
We invite authors to submit unpublished papers (8-page CVPR format) to our workshop, to be presented at a poster session upon acceptance. All submissions will go through a double-blind review process. All contributions must be submitted on OpenReview: https://openreview.net/group?id=thecvf.com/CVPR/2026/Workshop/IPA
Accepted papers will be published in the official CVPR Workshops proceedings and the Computer Vision Foundation (CVF) Open Access archive.
Note: Authors of previously rejected main conference submissions are also welcome to submit their work to our workshop. When doing so, you must submit the previous reviewers' comments (named as previous_reviews.pdf) and a letter of changes (named as letter_of_changes.pdf) as part of your supplementary materials to clearly demonstrate the changes made to address the comments made by previous reviewers.
Topics of interest for papers include, but are not limited to, the following:
  • Human-AI interaction in physical environments
  • Embodied conversational AI and multimodal learning
  • Full-duplex multimodal conversational models
  • Social intelligence and communication for robots and avatars
  • Egocentric vision and first-person perception
  • Real-time audio-visual processing for interactive systems
  • Safe and cooperative human-robot interaction
  • Personalization and lifelong learning for physical AI
  • Privacy-aware learning in interactive settings
  • Physically authentic perception and generation for avatars and agents
Important Dates
  • Deadline: February 28, 2026
  • Notification: March 20, 2026
  • Camera-Ready: April 10, 2026
Organizing Committee
  • Seonwook Park (NVIDIA)
  • Amrita Mazumdar (NVIDIA)
  • Shengze Wang (NVIDIA)
  • Leena Mathur (Carnegie Mellon University) 
  • Koki Nagano (NVIDIA)
  • Shalini De Mello (NVIDIA)
Contact 
If you have any questions about the workshop, please email Seonwook Park at <a id="m_539843564062262161m_8094217301843367980gmail-OWAe84b6fd1-3580-8708-7318-a7e794497756" href="mailto:seonwookp@nvidia.com" title="mailto:seonwookp@nvidia.com” style=”border:0px;font:inherit;margin:0px;padding:0px;vertical-align:baseline” target=”_blank”>seonwookp@nvidia.com
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CF PE-WASUN 2026

February 24th, 2026 Daniela Lopez de Luise

5th ACM International Workshop on Multimedia AI against Disinformation (MAD’26)

February 24th, 2026 Daniela Lopez de Luise

5th ACM International Workshop on Multimedia AI against Disinformation (MAD’26)

ACM International Conference on Multimedia Retrieval ICMR'26 Amsterdam, Netherlands, June 16 – 19, 2026

https://www.mad2026.aimultimedialab.ro/    

https://easychair.org/my/conference?conf=mad2026 

***Call For Papers ***
Paper submission due March 25th, 2026
Acceptance notification April 19th, 2026
Camera-ready papers due April 25th, 2026
Workshop @ ICMR 2026 June 15, 2026


Modern communication does not rely anymore solely on mainstream media like newspapers or television, but rather takes place over social networks, in real-time, and with live interactions among users, or increasingly mediated via AI-based systems, such as bots and recommendation algorithms. The speedup of distribution and the amount of information available, however, also led to an increased amount of misleading content, disinformation and propaganda. Conversely, the fight against disinformation, in which news agencies and NGOs (among others) take part on a daily basis to avoid the risk of citizens' opinions being distorted, became even more crucial and demanding, especially for what concerns sensitive topics such as immigration, health and climate change.
Disinformation campaigns are leveraging, among others, AI-based tools for content generation and modification: hyper-realistic visual, speech, textual and video content have emerged under the collective name of “deepfakes”, and more recently with the use of Large Language Models (LLMs) and Large Multimodal Models (LMMs), undermining the perceived credibility of media content. It is, therefore, even more crucial to counter these advances by devising new robust and trustworthy AI tools able to detect the presence of inaccurate, synthetic and manipulated content, accessible to journalists and fact-checkers.
Future multimedia disinformation detection research relies on the combination of different modalities and on the adoption of the latest advances of deep learning approaches and architectures. These raise new challenges and questions that need to be addressed to reduce the effects of disinformation campaigns. The workshop, in its fourth edition, welcomes contributions related to different aspects of AI-powered disinformation detection, analysis and mitigation. 

Topics of interest include but are not limited to:

  • Disinformation detection in multimedia content (e.g., video, audio, texts, images)

  • Multimodal verification methods

  • Synthetic and manipulated media detection

  • Multimedia forensics

  • Multimodal fusion approaches for disinformation detection

  • Disinformation spread and effects on social media

  • Analysis of disinformation campaigns in societally-sensitive domains

  • Robustness of media verification against adversarial attacks and real-world complexities

  • Fairness and non-discrimination of disinformation detection in multimedia content

  • Explaining disinformation detection results to non-expert users

  • Temporal and cultural aspects of disinformation

  • Dataset sharing and governance in AI for disinformation

  • Datasets for disinformation detection and multimedia verification

  • Open resources, e.g., datasets, software tools

  • Large Language Models for analysing and mitigating disinformation campaigns

  • Large Multimodal Models for media verification

  • Multimedia verification systems and applications

  • Benchmarking and evaluation frameworks

  • Emerging threats due to wide adoption of LLMs, e.g. hallucinations, grooming, etc.

*** Submission guidelines ***
When preparing your submission, please adhere strictly to the ACM ICMR 2026 instructions, to ensure the appropriateness of the reviewing process and inclusion in the ACM Digital Library proceedings. The instructions are available here: https://mad2026.aimultimedialab.ro/submissions/. 
*** Organizing committee ***
Dan-Cristian Stanciu (National University of Science and Technology Politehnica Bucharest, Romania)
Roberto Caldelli (CNIT and Mercatorum University, Italy)
Milica Gerhardt (Fraunhofer IDMT, Germany)
Bogdan Ionescu (National University of Science and Technology Politehnica Bucharest, Romania)
Giorgos Kordopatis-Zilos (Czech Technical University in Prague, Czechia)
Symeon Papadopoulos (CERTH-ΙΤΙ, Greece)  
Adrian Popescu (CEA LIST, France)
Vera Schmitt (Technical University Berlin, Germany) 
On behalf of the organizers,


                                

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