Machen Sie sich in der Mittagspause fit für wissenschaftliche Erkenntnisse: Diskutieren Sie mit! Die leckeren Sandwiches und Getränke vom „Lilly Jo“ sorgen fürs kulinarische Wohl und sind im Eintrittspreis inbegriffen. Eine Veranstaltungsreihe in Kooperation mit der Universität Zürich
Innovation Made in Switzerland Warum ist die Schweiz das innovativste Land der Welt? Wie schafft es die Schweiz, die Rangliste des Global Innovation Index seit Jahren anzuführen? Eine entscheidende Rolle spielen auf jeden Fall staatliche und kantonale Förderagenturen sowie regionale Denkfabriken. Aber was ist überhaupt eine Innovation und wie wird der Innovationsgrad gemessen? Was ist der Unterschied zwischen einer Idee, einer Erfindung und einer Innovation? Und welche unternehmerischen Voraussetzungen braucht «echte» Innovation?
Gast Dr. Gundula Heinatz Bürki; Managing Director der Data Innovation Alliance Nachhaltigkeit
Leitung und Moderation Dr. Dana Sindermann, Paulus Akademie Dr. Reik Leiterer, Universität Zürich
Veranstaltungsort
Paulus Akademie, Pfingstweidstrassse 28, 8005 Zürich
Kosten
CHF 30.- (inkl. Sandwich, Salat und Getränk); CHF 20.- für Mitglieder Gönnerverein, Studierende und Lernende, IV-Bezüger und mit KulturLegi.
The goal of the European Workshop on Algorithmic Fairness (EWAF) is to foster the dialogue between researchers working on algorithmic fairness in the context of Europe’s legal and societal framework, especially in light of the EU’s attempts to promote ethical AI. It is thus a space for researchers to discuss fairness in machine learning with an interdisciplinary perspective related to Europe.
The workshop aims to be highly interdisciplinary. This means that it will connect a variety of fields and perspectives including but not limited to mathematical, philosophical, computer science, legal, psychological, sociological, critical studies and management perspectives.
You can learn more about our workshop on our website.
We would like to invite you to a special “End of the Year” webinar on Friday 16.12.2022 at 14:30. We are delighted to have Dr. Gabriel Michau as our speaker, telling about his research work titled:
Whispering machines: Deep Learning for viable Condition Based Maintenance
Which was recently published in the highly prestigious journal PNAS. The talk description can be found here: Link.
The Speaker: Dr. Gabriel Michau is leading the development of Data-Driven maintenance solutions at Stadler Service AG, piloting end-to-end data-driven projects, from identifying the sensing technology to the optimisation of the existing maintenance strategies. He specialised in the development of innovative deep learning algorithms for the processing of industrial data as Senior Scientist at the ETH Zürich, in the Chair of Intelligent Maintenance Systems. At the ZHAW, he worked on several innovation projects with industrial partners to develop machine learning solutions to specific problems met by the industries. Gabriel holds a joint PhD between the Ecole Normale Supérieure de Lyon, in Physics, specialised in convex optimisation and the Queensland University of Technology in Brisbane, in Traffic Engineering.
HES-SO, the Haute Ecole Arc Ingénierie, UNINE, CSEM and Databooster join their forces to support SMEs. On 19th January 2023 at 16h30, a presentation of the National Thematic Network (NTN) Innosuisse DataBooster will be organised at Haute Ecole Arc campus, Espace de de l’Europe 11, 2000 Neuchâtel (Campus 2, Room, 128)
The Innovation Booster is an Innosuisse-founded initiative which brings together the most important players from science/research, society and industry. Its main mission is to develop innovation ideas carried out by interdisciplinary teams.
The Innovation Booster is composed of 18 programs. Each Innovation Booster program targets a specific domain. One of these programs is Databooster which supports innovation around data-based value creation. Databooster focuses on the design of data-based services for the industrial and service sectors. Its goal is to combine new methods and technologies in the field of data science with new business models and service concepts.
Nowadays, companies collect vast amounts of data to extract information/knowledge. This information is useful to optimise their process, develop new services and/or products.
The main mission of the Databooster is to support SMEs to :
1. identify their business/technology challenges in a competitive innovation environment, 2. shape their innovation idea and get the opportunity to build their first prototype, 3. have access to funding instruments for their research and development programmes.
La HES-SO, la Haute Ecole Arc Ingénierie, l’UNINE, le CSEM et Databooster unissent leurs forces pour accompagner les PMEs. Le 19 Janvier 2023 à 16h30, une présentation du réseau thématique national (RTN) Innosuisse DataBooster sera organisée à la Haute Ecole Arc, Espace de de l’Europe 11, 2000 Neuchâtel (Campus 2, salle, 128)
Le Innovation Booster est une initiative financée par Innosuisse. Elle rassemble les acteurs les plus importants de la science/recherche, de la société et de l’industrie. Sa mission principale est de développer des idées innovantes portées par des équipes interdisciplinaires.
Le Innovation Booster est composé de 18 programmes. Chaque programme Innovation Booster cible un domaine spécifique. L’un de ces programmes est appel Databooster. Il soutient l’innovation en lien avec la création de valeur ajoutée basée sur les données. Databooster se concentre sur la conception de services basés sur les données et destinés aux secteurs de l’industrie et des services. Son objectif est de combiner les méthodes et technologies du data science avec de nouveaux modèles économiques et de nouveaux concepts de services.
De nos jours, les entreprises collectent de grandes quantités de données pour en extraire de de l’information/connaissance. Celle-ci est utile pour optimiser leur processus, développer de nouvelles offres de services et/ou produits.
La mission principale du Databooster est d’accompagner les PMEs pour :
1. identifier leurs défis technologues et économiques dans un contexte d’innovation concurrentiel; 2. concrétiser leurs idées innovantes et leur offrir l’opportunité de construire leur premier prototype; 3. avoir accès à des instruments de financement de leurs programmes de Recherche et développement.
Programme 16:30-16:35 Accueil de la HE-ARC 16:35-16:50 Présentation de Databooster (par Nabil Abdennadher) 16:50-17:10 2 Cas d’utilisation de Databooster 17:10-17:30 Discussion ouverte 17:30-18:30 Apéro et réseautage
Si vous avez des questions, veuillez les adresser à Nabil Abdennadher.
Ziel des BODENSEE SUMMIT digital ist es, kleinen und mittleren Unternehmen (KMU) mit Praxisbeispielen aus der internationalen Bodenseeregion aufzuzeigen, wie die Herausforderungen der digitalen Transformation und die Einführung von Künstlicher Intelligenz erfolgreich gemeistert und Innovationen hervorgebracht werden können. Bei spannenden Impulsen aus Wirtschaft und Wissenschaft sowie praxisnahen interaktiven Sessions wird neuestes Wissen vermittelt sowie Fragen rund um die Digitalisierung adressiert und mit den Teilnehmer-innen diskutiert.
Der wissenschaftliche Impuls (Universität St. Gallen) sowie sechs interaktive Sessions werden von der Schweizer Seite des Bodenseeraums beigesteuert. Es geht dabei um Themen wie „KI – was kann sie, was kann sie nicht?“, über Möglichkeiten von KI in der Logistik, den profitablen Einsatz einer Blockchain oder „Todsünden“ beim Einsatz von KI. Zudem werden die Unterstützungssysteme Databooster, go Tec! und SmartAR vorgestellt.
Der BODENSEE SUMMIT digital 2022 wird mit der Regierungschefkonferenz der Internationalen Bodensee-Konferenz (IBK) in Herisau (Schweiz) verzahnt. Regierungschefs aus Deutschland, Österreich, Liechtenstein und der Schweiz werden über Rahmenbedingungen für digitale Innovationen aus ihren Ländern berichten.
Die Teilnahme am BODENSEE SUMMIT digital ist kostenfrei. Über die Event-Plattform der virtuellen Veranstaltung können Kontakte geknüpft werden. Nach der Registrierung sind die Profile anderer Veranstaltungsteilnehmerinnen einsehbar. Auf dem Marktplatz kann nach Kooperationsmöglichkeiten gestöbert werden, persönliche virtuelle Treffen können direkt verabredet und durchgeführt werden.
Über den BODENSEE SUMMIT digital
Die jährliche Konferenz bietet Unternehmer*innen, Führungskräften und Innovationsverantwortlichen aller Anrainerländer des Bodensees die Möglichkeit, neues Wissen zu erwerben und sich branchen- und regionsübergreifend auszutauschen und zu vernetzen. Der BODENSEE SUMMIT digital wird im Rahmen der Digitalisierungsinitiative Bodensee von der Internationalen Bodensee-Konferenz (IBK) mit seinen zehn Kantonen, Ländern sowie Bundesländern gefördert und somit in der gesamten Bodenseeregion beworben. Organisator ist das an der HTWG Hochschule Konstanz ansässige Bodenseezentrum Innovation 4.0 (BZI 4.0), Anlaufstelle für KMU in Fragen rund um die digitale Transformation.
As part of the innovation boosters digital health nation and data, powered by Innosuisse, we want to invite you to a webinar about the responsible use of health-related data for research.
The use of sensitive health data in medical research places high demands on data, infrastructures and processes. Thanks to SPHN, a federally commissioned funding initiative, an interoperable and secure data-enabling environment has been created in Switzerland in close collaboration with the five Swiss university hospitals. The goal is to connect researchers with biomedical and routine health care data to promote data-driven research approaches and contribute to making personalized healthcare a reality in Switzerland. With SPHN’s established contractual framework, the network facilitates the responsible use of sensitive health data in strict compliance with ethical and legal principles.
Registration can be found here or you can use the form at the bottom of the page.
Speakers:
Dr Katrin Crameri, Director of the Personalized Health Informatics (PHI) Group of SIB Swiss Institute of Bioinformatics and director of the SPHN Data Coordination Center
Dr Julia Maurer, ELSI expert and Scientific Coordination Manager, Personalized Health Informatics (PHI) Group of SIB Swiss Institute of Bioinformatics
At data innovation alliance, we believe that a team performs better when people from different backgrounds work together. This also requires a framework that meets the needs of different groups of employees.
In our first workshop we want to address the concerns of employees who need more flexibility at work (due to family situation, hobbies or other reasons). This large group of people has to deal with unfavorable political conditions in Switzerland (short parental leave, no individual taxation, insufficient offers for external childcare, poor pension schemes for part-time employees). This makes it all the more important for employers to design working conditions that are advantageous for this group. Especially in the STEM sector, the conditions should actually be favorable.
In an opening presentation, Priska Burkard will share experiences from her work promoting diversity and inclusion in STEM. Through her company Techface, Priska is in intensive exchange with women in tech jobs and knows their concerns and challenges.
In the further course of the workshop, we will specifically compare the perspectives of employees and employers and specifically shed light on the topic of re-entry (e.g. after parental leave).
The workshop is in English and aimed at both decision-makers on the employer side (HR, C-level) and affected (or unaffected) employees.
Almost every business process contains documents created for the purpose of human collaboration, and which typically contain some form of data.
Think about studies, technical documents, certificates & regulatory compliance, or contracts – unstructured data within them cannot automatically be processed by machines and are hard to be analyzed without unimaginable amounts of manual effort.
Automatically extracting the relevant information from these documents is a challenging task for many reasons, e.g., a convoluted structure of the documents, tables, pictures, and even handwriting.
This workshop aims to bring together researchers and practitioners to leverage expert knowledge on complex document understanding and extraction.
The Swiss Conference on Data Science (SDS) is the most important Swiss conference for applied data science! 2023 marks the celebration of our 10th anniversary!
We connect data scientists, developers, opinion leaders, decision makers and pioneers. We create and exchange ideas for innovative products and services, with a non-exclusive focus on the Swiss market. We foster the community of data scientists in Switzerland – and beyond.
SDS2023: With talks and contributions focusing on applied data science and business, accepted papers will be submitted for inclusion into IEEE Xplore. Talks with business impact and data-driven innovation concepts will be presented at the SDS2023.
Meet innovators, scientists as well as business insiders and get access to emerging trends, cutting-edge technologies and research results. Get inspired and use the input from SDS2023 directly for the improvement and development of your data-based products, solutions and applications. Further expand your network and discuss with experts on applied data science during our breaks and social events.
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