During the Summer School, lecturers from Poland and abroad will conduct a series of 6-hour classes, i.e. lectures and workshops on the following thematic areas: artificial intelligence, start-ups, intellectual property, and research projects. All classes will be conducted in English.
All classes will be held on the university campus at ECOTECH-COMPLEX Analytical and Programming Center for Advanced Environmentally Friendly Technologies, 39 Głęboka Street in Lublin.
The Summer School includes 11 preliminary lectures combined with workshops. A certificate of completion of the International Summer School with a personal development plan will be presented to all participants at the end of the School.
Below are more detailed descriptions of the topics that will be covered in the workshop groups.
Framework Agenda of the Summer School
I. ARTIFICIAL INTELLIGENCE
Artificial intelligence in scientific research
- "Home-made" vs. big AI models.
- GPT evolution and future.
- GPT fine-tuning.
- Modern science with chatGPT.
Artificial intelligence with code
- Building blocks of AI with code.
- Deep Neural Networks (DNN) – how are they built?
- Convolutional Neural Network and image recognition.
- Generative Adversary Networks (GAN) – how to generate a picture.
- Reinforcement Learning (RL) – how to train a robot.
- LSTM Recurrent Network and text generation.
Artificial intelligence related to economics, society, and politics
- The class will provide a general introduction to debates over artificial intelligence and examine what are its economic, political, social, and cultural consequences.
- The class will develop a systematic account of how automated intelligence machines impact different spheres, and aspects of public and private life.
- The class will develop an understanding of how machines with artificial intelligence affect various spheres and aspects of public and private life.
- Among other topics, the class examines the automation of workforces, surveillance, capitalism, warfare, and lethal autonomous weapons, as well as the automation of social inequalities.
- Provides a judiciously comprehensive account of artificial intelligence for those with little or no previous knowledge of the topic.
II. START-UP
Start-ups related to the artificial intelligence
- Feasibility of a start-up and the different actions that will lead to it.
- Examples of case studies on AI companies.
- Generating ideas, market sizing, and company building.
Start-ups with an element of creative thinking
- Creativity in the modern world.
- How to build a project from an idea.
- Useful canvas for creating plans and checking the potential of the idea (presentation and workshops in groups).
- What does block or what does stimulate business ideas?
The role stakeholders can have in project consortia with examples (taken from Artificial Intelligence related projects)
- Tools/ways for establishing collaborations => how I try to do this in my job.
- Defining the stakeholders and their role in setting up collaboration in a specific domain via a kind of research business canvas.
- Defining a profile/pitch to either present what you can bring a researcher or a project idea for which you need collaborators (the basis for matchmaking).
III. INTELLECTUAL PROPERTY
Intellectual property related to counterfeit and pirated goods
- Counterfeit and pirated goods-actual trends in counterfeit.
- The main trends in international trade in counterfeit goods draw on studies carried out by EUIPO in cooperation with the OECD and other organizations.
- Various aspects of counterfeiting, including the main countries of origin of counterfeits imported into the EU, the volume of such imports, and the resulting damage to the economy.
- IP in practice – EUIPO's activities in support of IPR enforcement.
- An overview of EUIPO's activities in support of IPR enforcement.
Basic information about intellectual property (IP) and its role in economic growth
- Cover various aspects of intellectual property protection (definition of IP, examples of IP, types of IP, examples of violations of IP).
- The way of protection of IP in the European Union.
- IP in practice – IP tools online (databases etc.)
- The source of data on IP like reports and factual information on IP and databases on IP (p.ex. brand database, design database, patent database, etc.).
IV. RESEARCH PROJECTS
Research design related to statistical methods
- Causality: philosophical approaches.
- Directed acyclic graphs (DAGs) and counterfactuals.
- A basic introduction to DAGs and the Neyman-Rubin counterfactual causal model, discussing the advantages of experiments from that perspective and the implications for non-experimental studies.
- Estimating causal effects from observational data and how machine learning can help- provides a judiciously comprehensive account of artificial intelligence for those with little or no previous knowledge of the topic.
Research design with quality criteria
- Basic information about intellectual property (IP) and its role in economic growth.
- cover various aspects of intellectual property protection (definition of IP, examples of IP, types of IP, examples of violations of IP).
- The way of protection of IP in the European Union.
- IP in practice – IP tools online (databases etc.)
- Source of data on IP like reports and factual information on IP and databases on IP (p.ex. brand database, design database, the patent database, etc.).
Classes will be conducted in small discussion groups in the following format: dynamic short lectures, video presentations, case study discussions, skill-building exercises, and discussion of results.
