OPEN SCIENCE AND INNOVATION PROGRAM
The MdM program has a specific program to increase the impact of tech and knowledge transfer activities at the Department in general, and of the María de Maeztu projects in particular.
Collider - Mobile World Capital Award at PhD Workshop 2017 and PhD workshop 2018 for technology transfer perspectives
The Rocket platform is a web-based platform that was originally designed for the visualization and processing of multi-modal imaging and meta-data of cardiac patients to allow the exploration of common data by clinicians and engineers, as part of an European project (VP2HF)..[+]
Nowadays, researchers, publishers, funding institutions, as well as any other interested actor, are overwhelmed by the amount of scientific contents available online..[+]
Developed iteratively over the past 8 years and tested by over 8 educational communities (educational centers, training units, transversal initiatives), involving over 1000 participants, this technological infrastructure enables the modelling and sharing of learning designs with the aim of fostering communities of educators collaborating through learning designs to improve the quality of education..[+]
In order to support this program, a number of specific talks are organised, bringing diverse stakeholders active in the innovation ecosystem. Check also the closely related talks about Reproducibility and the ongoing Industrial PhD projects.
Software Licencing and Open Source tolling workshops
Malcolm Bain, idLaw partners
April 5th 15:30h introduction to software licensing (room 52.s31)
April 17th Open Source tolling workshop (room 54.007)
Details to be added
Adapting research capabilities to industry
Aleix Ruiz de Villa
February 8th 2018, 15:30h. Room 55.410
Going from academy to industry is not a trivial path. Quite often personal and social expectations do not match entirely. We will share some experiencies about personal and social motivations. We will talk about the relevance of understanding the context before taking decisions. We will introduce how research capabalities may be a key ingredient in industry and finally highlight some fallacies we will possibly find during the process.
Building Machine Learning Models to Value Heterogeneous Transactions in a Multi-Dimensional Customer-Vendor Relationship
Gabriel Silberman (director of the Barcelona Institute of Science and Technology and Chief Scientist at Cerebri AI)
January 24th 2018, 15:30h. Room 55.309.
Customer data gathered by enterprises is on the rise and being used to understand customer journeys for many purposes. At Cerebri AI we created an approach for using this data, in addition to demographics and other factors, events and transactions, to build supervised and unsupervised machine learning models toassess how a customer values a vendor, its products and services, at any point in time. The result is something we call Cerebri Values, and they provide a view of the vendor from a customer's perspective.
The methodology used to create Cerebri Values enables a proportionate attribution of transactions to events in a customer journey, normalized by the amount of actual purchases and expressed as a monetary value. This allows the detailed design of cost-effective, one-to-one marketing campaigns.
The talk will describe the rationale behind Cerebri Values, how they are built and how they are being used in understanding customers in the automotive space. If time allows we will also discuss how a similar approach may be used to detect bias in machine learning models built to support decision making.
A brief 18 year career in music understanding
Brian Whitman (formerly co-founder of The Echo Nest, Principal Scientist of Spotify)
November 29th 2017, 15:30h. Room 55.309
In 1999 I put a somewhat stalled electronic music career on hold to investigate how people were discovering new artists. I was especially interested in how very independent and niche music was getting noticed. Could the new methods of digital distribution at the time allow for greater scale and reach of all types of styles and genres of music? Could natural language processing, signal processing and machine learning play a role in understanding music? Two graduate degrees, a few stints in research labs, a startup, seventy employees, fifty customers, a large acquisition, 150 million active users of our technology and eighteen years later, I've left Spotify to focus on something new. I'm giving a brief talk to discuss what I've learned about the field, how big academic ideas translated into the marketplace, and what could be next. This will be a very informal group discussion.
mVentures - The Collider 2017-18 program
September 14th 2017, 12h. Room 55.410. Interviews with speakers available upon request (contact mVentures directly, or Aurelio Ruiz to arrange it)
Design for creative play. Thanks to U.S. Consulate General in Barcelona, in the context of the cooperation for the American Space
April 25th 2017, 10:30h. Room 55.309
Eric Rosenbaum will describe some of the works he has been working on recently, including live demos for some of them, and will establish a discussion with PhD students around the challenges in achieving sustainable social impact from research activities.
Tech transfer in the context of Open Science
March 9th 2017, 15:30h-16:30h. Room 55.309
Discussion about the new roles that technology transfer at universities is creating in the context of Open Science, and of specific initiatives driven by the MTG group, such as Essentia (technology licensing), Music Muni (Spin-off) and the Freesound API (Saas). Slides.
OVAL by OVAL SOUND
Alex Posada, co-founder of Oval Sound.
March 9th 2017, 12:00h – 13:00h. Room 55.410
Founded in 2014 by Ravid Goldschmidt and Alex Posada in Barcelona (Spain), OVAL SOUND is the music technology startup behind Oval, the first digital Handpan ever developed. The project was launched via a crowdfunding campaign on Kickstarter, and to this day remains one of the most successful campaigns on the platform in 2015.
SpectralEdge: from science to startup
Roberto Montagna. Principal R&D Engineer. SpectralEdge
March 3rd 2017, 12:30h-13:30h. Room 52.s29
Spectral Edge is both the name of a theorem and the name of a UK-based startup company. This talk will give a brief overview of the Spectral Edge core technology, which revolves around the theorem, and then will try to give an account of the challenges that Spectral Edge (the company) has faced and is facing in growing out of the academic environment.
December 21st 2016, 10h-10:30h
Room 55.410. Roc Boronat 138 (Tànger building)
In this talk we will present a new transference programme that accompanies entrepreneurs from the best national universities and research centres in the tedious task of approaching technologies from lab to the market. The programme challenge is to help researchers and technologists to bridge the gap between discovery and commercialisation of their technologies to build marketable products and create high growth science based businesses. To complement the research activities of the investigators, the programme provides a scientific core team led by entrepreneurs in residence that will be in charge of mobilising internal resources as well as external collaborators whenever needed, freeing scientists from the business side and letting them focus on what they do best, research.