SUSTAINABLE AND DEMOCRATIC DIGITAL GOVERNANCE

Learn more about climate change’s impact on society and how you can lead a wide range of transition processes and practically work with climate transitions within different areas.   Ongoing and future climate impacts on different parts of society, the attempts to try to build sustainability within planetary boundaries and interconnected international crises’ have created a unique situation concerning the issues’ urgency, complexity and uncertainty. Within this shifting landscape knowledgeable, creative and brave leaders and citizens are necessary to being able to fundamentally change how businesses, regions, municipalities and different organizations work and achieve results. This online course introduces climate science, climate change’s impact on society, different perspectives on the causes and possible solutions to the climate dilemma, climate justice and international agreements, carbon budgets and different climate scenarios, leadership within different contexts on different levels, key areas for successful transitions and different good examples of climate transitions, the individual’s and the collective’s possibilities and responsibilities, and concrete first steps towards transitions work within your work and local context.

What can we do to address the sustainability challenges we face? In this course, you will gain insight into how individuals, organisations and societies approach sustainability challenges in different ways. In various parts of the world different challenges are prioritized and thereby, various approaches and solutions are needed. You will learn about the considerations needed to make decisions of how to prioritize sustainable development. You will also be introduced to different strategies for changing values, attitudes and behaviours. The course introduces enforcements that are applied to influence individuals within companies and in the society at large, including different incentives and instruments to ensure more sustainable behaviours. This course is relevant to professionals working in industry, policymakers, or students in engineering. What you'll learn Identify and prioritize solutions based on different perspectives About how the values, attitudes and behaviours for sustainable development are connected About different environmental management tools How to implement organizational learning, incentives and instruments to change behaviours for sustainable development Concepts used in the current sustainability debate See all free online courses that KTH offers

This course emphasizes that systems-based changes are needed to achieve a sustainable world. In the past, dominant theories of change have neglected these complex conditions. In part, it includes the belief that change can be managed, planned, and controlled. This course suggests more contemporary theories where you are more inclusive, being many stakeholders and use fluid ways of creating change. Similar compositions of ideas have been tested in the honours track Change Maker Future Track at LU School of Economics and Management. At the end of the course, the participants will have a better chance of: a.       Understanding of the systemic nature of sustainability b.       Understanding of systems theory, and the concepts of complexity and wicked problems c.       Understanding of systems innovation and change d.       Having an overview of some tools for describing and analysing complex problems and contexts e.       Having an overview of contemporary theories of change f.        Having an in-depth understanding of the concept of Catalytic Leadership and Change    

The course on Large Language Models for Industry is designed to cater to the demands of industries amidst the global push for sustainability and green transitions. Large Language Models (LLMs) represent a pivotal technology thatcan revolutionize how industries operate, communicate, and innovate. In this course, participants explore the intricate mechanics and practical applications of LLMs within industry contexts. The course covers the principles and technologies spanning from traditional Natural Language Processing (NLP) to Natural Language Understanding (NLU), enabled through the development of LLMs. Emphasizing industry-specific challenges and opportunities, participants learn to utilize LLMs while considering sustainability concerns. Participants gain valuable insights from adapting LLMs to tackle real-world problems through examples and exercises tailored to industry needs. By the course completion,participants are equipped to leverage LLMs as transformative tools for driving industry innovation and, at the same time, advancing sustainability goals. Scheduled online seminars November 14th 2024, 15:00 - 17:00 December 12th 2024, 15:00 - 17:00 January 9th 2025, 14:00 - 17:00 Entry requirements At least 180 credits including 15 credits programming as well as qualifications corresponding to the course "English 5"/"English A" from the Swedish Upper Secondary School.

Business models that efficiently contribute to reduction of material use and waste are key to successful transition towards sustainability. This course has a particular focus on the interplay between business models, product innovation and production processes. Through this course, you will explore the critical relationship between sustainable practices and business strategies, preparing you to contribute meaningfully to the circular economy and sustainable development initiatives. In this course, you will be introduced to systematic working methods for business development in practical contexts, with a specific focus on innovation and creativity. The goal of the course is to provide a deep understanding of the application of various business model practices in different types of development work. The objective is for course participants to enhance their ability to understand and apply business development processes in the manufacturing industry, and gain deeper insights into how these processes relate to organizations' innovation and business strategies in order to achieve circular flows, resilience, and sustainability. The teaching consists of self-study using course literature, films, and other materials through an internet-based course platform, as well as scheduled webinars and written reflections. There are no physical meetings; only digital online seminars are incuded. Study hours 40 hours distributed from week x, 2025 to week x, 2025. Webinar 1: Webinar 2: Webinar 3:  The first webinar is Januray x, but the course opens on January x, which means that you by then reach the course material and can start your training. Target GroupThis course is primarily intended for engineers in management or middle management positions within industry, whether they are recent graduates or individuals with extensive experience. The course is suitable for individuals with backgrounds in mechanical engineering, industrial engineering management, or similar educational background. Entry RequirementsTo be eligible for this course, participants must have completed courses equivalent to at least 120 credits, with a minimum of 90 entry Requirement credits in a technical subject area, with at least a passing grade, or equivalent knowledge. Proficiency in English is also required, equivalent to English Level 6. Educational package in circular economyThe course Product/production and business development for circular flows is an introduction of the educational package starting again spring 2024. This course Business development for circular flow together with Product development for circular flows and Production for cirkular flows are free standing independent courses that build on knowledge in the field.

In the era of shift towards green transition, industries face unique challenges and generates numerous opportunities. This course, "Intelligent Asset Management and Industrial AI" is designed to equip professionals with the knowledge and tools necessary to support advanced technologies in achieving environmental sustainability. Industries play a major role in contributing to the global economy that is accompanied with a significant share towards environmental degradation. The growing climatic concerns and degradation of natural resources has urged the need to reduce carbon footprints, minimize waste, and optimize resource utilization such that a green transition is achieved. Intelligent Asset Management and Industrial AI are at the forefront of this transformation offering innovative solutions to enhance operational efficiency, reduce environmental impact and support the industry’s commitment to sustainability. Furthermore, the course can help a professional to optimize the usage of resources, look for energy efficient systems, consider environmental changes, develop sustainable solutions, and integrate advanced technologies towards green transition. This is a problem-based course specific to an industrial sector. The problems can be provided by the course supervisor, or the participants can bring their own problems from their work. Common problems include e.g. asset management by balancing cost against performance, identifying, detecting, predicting, and planning for unexpected outages, disruptions or failures, exploring challenges and opportunities with AI and digitisation, monitoring the condition of industrial assets, and achieving sustainability goals. Target groupThe target group includes individuals working in various industries such as railway, mining, transportation, construction, manufacturing, logistics, energy, and other organizations that are or planning to implement asset management systems. This course can be suitable for professionals ranging from asset managers, maintenance and reliability professionals, operation managers, engineers, project managers, and asset management consultants. Online seminarsDecember 10th at 14.00 to 15.00January 14th at 14.00 to 15.00January 31st at 14.00 to 15.00February 13th at 14.00 to 15.00February 28th at 14.00 to 15.00 Entry requirements Bachelor’s degree of at least 180 ECTS or equivalent, which includes courses of at least 60 ECTS in for example one of the following areas: Maintenance Engineering, Mechanical Engineering, Materials Science, Data Science, Computer Engineering, Civil Engineering, Electrical and Electronics Engineering or equivalent. Or professional experience requirements four to five years of experience in relevant industries.