This intensive blended learning course equips PhD researchers with the entrepreneurial mindset, skills, and tools needed to transform scientific discoveries into viable innovations and ventures. The course combines online pre-work with a hands-on, 5-day lecture and workshop series (10-14th of November) and aims to give students and researchers an overview about entrepreneurship as well as common business tools and strategies, to be able to assess the commercialization potential of a scientific idea and to develop solutions towards market needs. Topics include:

• Bringing Scientific Inventions and Research Ideas to Market
• Entrepreneurship in all its Facets
• Designing for Demand / Lean Canvas
• Business Strategies and Models
• Effectuation and Design Thinking
• Intellectual Property
• Financing and Funding Strategies
• Ethics and Regulatory Frameworks
• Risk Management and Mitigation
• Networking, Collaboration and Pitching 
   

Through lectures, interactive workshops, peer collaboration, expert mentoring, and real-world case studies, researchers will learn how to identify opportunities, mobilize resources, and create value (financial, societal and/or cultural). Students will work in groups on three assignments: Lean Canvas, a report detailing Lean Canvas findings and assumptions and a slide deck for final presentations.

To register, contact:
Contact your local NTEU project manager

Instructors:
Ásgeir Jónsson – asgeirjo@ru.is
Hallur Þór Sigurðarson – hallursig@ru.is
Susanne Durst – susanned@ru.is

This course aims to equip students with a broad understanding of digital health, emphasizing not only technical skills but also ethical considerations and critical thinking when designing, developing, and implementing digital tools in healthcare settings. The main objective is to set the stage for digital health, in general, and to understand the impact of design, development, and use of digital tools within healthcare settings for optimization purposes, in particular. By the end of the course, the students will be able to illustrate introductory knowledge of digital health, encompassing design, development, and utilization of digital tools in healthcare settings, as demonstrated by their assignment, where the focus is to design a mobile application for a specific case as well as reflect on the ethical implications of working with artificial intelligence as an embedded part of healthcare.

The course instructor is Dr. Anna Sigridur Islind, a professor at the department of computer science at Reykjavik University. 

To register, contact: islind@ru.is

Neuroscience techniques are undergoing a rapid development. These developments open up new possibilities for investigating the brain as a network at various levels. We will introduce a range of advanced techniques which currently are being applied in neuroscience in particular to study brain networks. We aim at covering both the basics of the techniques and how they are applied to address specific research questions.

This course will focus on behavioural, psychological, neurobiological, and neuropsychological processes underlying the acquisition of new knowledge and its subsequent consolidation and retrieval in human animals. Where possible, attempts will be made to integrate these levels in a multidisciplinary framework. Additionally, the application of learning and memory paradigms in clinical and cognitive research will be discussed. 

This course will provide students with a thorough background in the newly emergent field of social cognitive neuroscience. A broad range of social phenomena will be examined at multiple levels (1) the social level including experience and behaviors (2) the cognitive level which deals with information processing systems and (3) the neural level which deals with brain/neuronal bases of the first two levels.

This course will provide up-to-date insights into the neurobiological basis of language. The course will be given by internationally leading researchers in the field. Students will learn how state-of-the-art methods and approaches are currently being applied, and what are the next big questions for the field.