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

The purpose of this course is to enable doctoral students and other participants to gain an understanding of the major neuroinflammatory diseases and the key players involved, including the interaction between the central nervous and immune systems. An additional purpose is that those who participate in the course learn to understand critical aspects of creating and using experimental systems to model neuroinflammatory diseases.

The course is offered full time, Monday-Friday, 9:00-17:00 at the Center for Molecular Medicine (CMM) on Karolinska University Hospital, campus Solna, building L8, lecture hall and seminar rooms.

This course is given jointly by the doctoral programmes Allergy, immunology and inflammation (Aii) and Neuroscience (Neuro

Developmental biology lies at the heart of an effort to understanding complex biological systems. By studying how neural circuits are assembled we can extrapolate key aspects of their function as well as devise strategies for their repair. This course is given to deepen the understanding of how molecular and cellular mechanisms underlie neurobiological function and to widen the horizon of students within the strong Karolinska neuroscience community.

The course is given in collaboration with the Master's Programme in Biomedicine.

This is a full time course given in person at Biomedicum, Campus Solna.

Link to course evaluation

https://survey.ki.se/Report/5biVHpOK5wg

Experimental neuroscience is key to progress in the understanding of how the brain functions. The experimental toolbox for studies in rodents is currently without comparison, allowing detailed investigation of how the brain is built and the function of brain circuits. Technological advances also make it possible to directly connect neurons and circuits to behaviour. 

In the Brain Circuits course, students will meet international and KI neuroscientists who have made significant contributions to the study and understanding of neuronal circuits and behaviour. The development and application of novel technologies and analysis (high-density electrophysiology and imaging of single-neuron activity, optogenetics, behavioural tracking, machine learning etc) will be covered, with a focus on advances using transgenic rodents. We have a strong emphasis on engaging junior neuroscientists in the course and on creating a network for future neuroscience leaders.

This course is given in collaboration with the Master's Programme in Biomedicine.

The purpose of the course is for participants to gain knowledge concerning genetics, molecular mechanisms as well as clinical features and treatment strategies of neurodegenerative disorders.

This course is given in collaboration with the Master's Programme in Biomedicine.

This course takes you on a journey into the exploration of how the brain shapes and enables our social and affective behaviors. We will examine key questions, such as how we learn from each other, when and in what ways social norms influence us, and how our communication and social decision-making unfold. 

This course provides students with in-depth knowledge in the field of digital health from an entrepreneurship perspective. Domains of digital health, needs-based innovation including prototyping, usability and testing as well as data management, intellectual property, reimbursement, business models, ethics and future trends will be discussed and analyzed.

The Statistics module covers:

Basic test theory; 2-tests for contingency tables; t-Test; non-parametric tests; analysis of variance (ANOVA); multiple testing; power calculations; calculation rules for probabilities and neurobiological applications; guidelines for choice of analysis strategy; software implementations; effect size based hypothesis testing

The Scientific writing module:

• Introduction into general guidelines and rules for scientific writing
• Introduction into the elements of style
• Analysis and discussion of scientific texts
• How to improve and correct a text
• Practices in writing. Students will write their own texts and correct and make suggestions for improvements of the texts of others

Research ethics module covers:

• Main approaches and methods in current research ethics
• Ethical standards of good scientific practice
• Ethical issues related to research with humans
• Ethical issues related to animals
• Ethical issues related to research with biological material

Why doesn't the mammalian central nervous system (CNS) regenerate while many other tissues do? Which cutting-edge technologies and models are most effective for studying CNS repair? What regenerative strategies can be designed to rebuild such a complex tissue? Led by renowned experts and featuring distinguished international speakers, this course will delve into the intricacies of how the CNS responds to injury at a cellular and molecular level, as well as the most advanced research into regenerative therapies ranging from stem cell-based to gene therapies. The curriculum spans from fundamental research to preclinical development, with a particular focus on state-of-the-art approaches for studying CNS injury, degeneration, and repair.

Selection will be based on:
1) the relevance of the course syllabus for the applicant's doctoral project (according to written motivation),
2) start date of doctoral studies (priority given to earlier start date)

Developmental biology lies at the heart of an effort to understanding complex biological systems. By studying how neural circuits are assembled we can extrapolate key aspects of their function as well as devise strategies for their repair. This course is given to deepen the understanding of how molecular and cellular mechanisms underlie neurobiological function and to widen the horizon of students within the strong Karolinska neuroscience community.

Contents of the course: The course will cover the main steps of development from neural stem cells to mature circuits, including the patterning of the neural plate and thus the origin of cell types, the interplay between intrinsic and extrinsic factors, gene regulation including epigenetics, neuro-glia interactions and the role of network activity in shaping the final circuits. Different molecular and tracing technologies, and model organisms will be covered. An important aspect of the course regards molecular technologies for labeling, transcriptional analysis, and genetic manipulation of defined neural populations. Connections between aberrant developmental processes and neurodevelopmental and neurological disorders will be discussed.

Course director

The course is given by four course-leaders: Gonçalo Castelo-Branco, Jens Hjerling-Leffler and Ulrika Marklund all at MBB and François Lallemend at Dept of Neuroscience.