Proteins are the large biomolecules that comprise a long chain of amino acids. Proteins perform various functions in organisms for example: DNA replication, transcription, translation, metabolic reactions, transportation, and many more. Some proteins have unique characteristics, such as fluorescent proteins. They fluoresce upon exposure to light. The discovery of the first fluorescent protein called Green Fluorescent Protein (GFP) in 1961 paved a new era in cell biology. This allowed researchers to apply molecular cloning methods to tag GFP to various cellular proteins and monitor their activity in living systems. Various homologs of GFP are available these days.
In this project, we will apply molecular cloning techniques to study GFP. First, we will clone the GFP in a plasmid. For that purpose we will amplify the GFP and a plasmid backbone. Afterwards, we will do the restriction digestion of the PCR product and a plasmid backbone and ligate the GFP gene into a plasmid backbone. Then we will transform the plasmid into a bacteria and let them express the GFP. Using microscopy we will observe the fluorescent bacteria. Along with that we will learn the basics of media preparation, bacterial culture, agarose plate preparation etc. Then we will try to look at the structure of the protein using bioinformatics tools. Throughout the project you will learn various molecular cloning techniques.
Helmholtz Institute for RNA-based Infection research (HIRI) Julius Maximilian University of Würzburg Infection biology
Shazeb is a PhD student at Helmholtz Institute for RNA-based Infection Research (HIRI) at Würzburg, Germany. He works as a doctoral researcher at the GARV laboratory in Redmond Smyth’s group focused on genome architecture of RNA viruses. He is currently working on spatial transcriptomic techniques to understand the viral dynamics in the cells. Before that, he did his Master at University of Würzburg and Bachelor at the University of Delhi. Outside the lab, he likes baking, biking and sports.
Ever open an app and spend much longer on it than intended? Millenials spend an average of 3.2 hours per day on their phones. That’s a full day each week! Most digital applications like Instagram, YouTube, Snapchat and WhatsApp are specifically designed to be highly addictive. Designers use consumer psychology to understand, manipulate and control people’s behaviour. Consumer psychology is a field which examines why we buy products and services and how we use them. Learning about this field allows you to become more aware of the ways in which products and services you encounter regularly influence you.
In this project, through the lens of consumer psychology, we will examine the many techniques and tricks or “dark patterns” that designers use to keep people engaged with their product or app as long as possible (typically much longer than intended). We will do fun activities and create and carry out experiments designed to convey relevant psychological concepts. Then, ultimately, you will dive in and design an app prototype using all the features and techniques we have learnt. By the end of the project, you will be an expert on the methods being used to get and keep you hooked on digital products and will be better equipped to resist these strategies in the future.
CODE University of Applied Sciences
Julia is studying at CODE University in Berlin and majoring in Product Management, which focuses on guiding every step of a product’s development. One of her favourite courses was Consumer Psychology and she went on to teach this course to fellow students. She is very interested in the ethical considerations of technology in society. She enjoys acting, singing, playing instruments, cooking and running in nature. Julia was part of the past three S3++ Camps as a participant and a co-lead.
Have you ever truly realized what your body is made up of? It is trillions of cells interacting with each other forming bones, muscles, organs and even an army of immune cells defending us against pathogens. It’s astonishing that this incredibly complex system is functional, but things can go wrong. We can get sick, and sometimes this leads to a complete failure of the system. But what actually happens when we get sick? In every case, it is certain cells in our body that get infected by a pathogen or don’t function properly leading to severe inflammation or diseases like diabetes and cancer.
In this project, we will deep dive into the field of single-cell genomics, which uses cutting-edge technology to profile thousands of cells taken from healthy donors and patients. The most popular technique in this field is single-cell RNA-sequencing, which measures the expression of all (>20 thousand) genes in each individual cell. This generates huge amounts of data that we can only analyze using high performance computing and machine learning algorithms. After a quick intro on programming and the link to math and biology, we will use the programming language Python to perform data quality control and identify cell types and cellular pathways that play key roles during Covid-19 infection as well as chronic inflammation of intestinal tissue. Our discoveries can then serve as starting points for new medical therapies. In a nutshell, we will link biology and data science to discover the secrets of what heath means and what can happen when our system is challenged by disease.
Munich School of Data Science @ Helmholtz Munich and LMU children’s hospital
Chris is a PhD student at the Helmholtz center and LMU children’s hospital in Munich (Germany) investigating how genetic defects cause chronic inflammation in the intestine of young children. He studied molecular biotechnology at the university of Heidelberg with a focus on bioinformatics. Besides diving deep into datasets, he loves being outside, whether it’s a run, hike, bike tour or basically any type of sport.
Today, we are faced with an overwhelming political and moral polarisation in our society. Opinions are getting radicalised and are being more diverse than ever. Learning about what goes into forming an attitude or an opinion can give great insight into the way people think or learn. This way, we can also understand the media world better and it's part in the forming of the narratives of many social currents and try to shield ourselves from unreliable news and information sources. When we reach an understanding of these mechanisms, we can try to build a more understanding society and even develop a variety of social programmes which can help to prevent stigma, prejudice or any other kind of negativity surrounding unfounded opinions.
In this workshop, the participants will be able to learn about psychology as a science, especially social psychology, and its many forms of research methods including experimental, non-experimental and qualitative methods. They will conduct their own experiment, write a scientific paper based on their findings, identify all the threats that can compromise the validity of their results and be introduced to basic statistical knowledge used in social sciences research. Learning about the way attitudes, opinions and prejudice are formed is also included in the workshop. In the end, participants will plan their fictional programme to fight misinformation, fake news and fight injustice. They will also design a brochure on the same topic.
Faculty of Croatian Studies, Department of Psychology, University of Zagreb, Croatia
Iva Marketanović is currently a bachelor's student at the Faculty of Croatian Studies at the University of Zagreb. She does active volunteer work as a mental health educator for high school students and in organisations that are focused on correcting social injustice, especially gender discrimination. She has participated in the organisations of many scientific summits and works on the promotion of psychology as a science every day. Her other passions include theatre and film.
Throughout all of mankind’s history, one of the central questions was the structure of matter and reality. This issue was mostly unresolved until the 20th century, when the Standard Model of particle physics answered a lot of the questions, but also opened more sophisticated challenges and opportunities. While knowledge about the building blocks of the Universe is its own reward, humanity as a whole also profits from direct and indirect discoveries, often in unforeseen ways. For example, the modern Internet is the result of a need for networking and sharing data between scientists at CERN. In addition, contemporary particle accelerators are extremely large and involve thousands of people working together in various ways, including theorists giving predictions, computer scientists developing algorithms and software, technicians and experimental physicists working on the detector itself etc.
The goal of this project is to simulate all those roles by constructing a particle detector from easily obtainable materials, like copper wire and fish tanks, and obtaining some rudimentary measurements. Since it’s impractical to build a big accelerator in a few days, the detector will mainly observe naturally accelerated particles found in cosmic rays. Detections will be filmed with smartphones and processed using computers and free software. At the same time, in order to understand our results, we’re going to learn as much theory as time permits, which includes some underlying math and physics, types of particles and interactions, and methods of data analysis.
University of Zagreb, Faculty of Science, Physics department, Division for theoretical physics of elementary particles and fields
Anton is currently a PhD student at the Department of Physics in Zagreb, Croatia, where he previously graduated. He works on the physics of high energy hadron scatterings and phenomenology of quantum chromodynamics, the theory of the strong nuclear force. He was a participant at S3 during high school, and returns for the first time as a project leader. In his free time he reads various books, plays the piano, and practices the art of Japanese swordsmanship.
August 5th, 2022
Arkadiy Simonov (ETH Zurich, Switzerland): Crystallography: a science of seeing atoms without the lenses
August 6th, 2022
Michalis Charilaou (University of Louisiana at Lafayette, USA): Artificial neural networks for data analysis
August 8th, 2022
Inja Radman (New Culture, San Francisco, USA): The animal-free future of food
August 9th, 2022
Heidi Roizen (Stanford University, USA): Breaking the bias: women in tech and business now and then
August 10th, 2022
Jacqui Shaw (University of Leicester, UK): Blood test for cancer
Stanford University, USA
Heidi is a venture capitalist, corporate director, Stanford lecturer, and former Vice President of World Wide Developer Relations for Apple Inc. She earned her undergraduate and MBA degrees at Stanford University where she now serves on the Advisory Councils of Stanford's Institute for Human-Centered Artificial Intelligence and Stanford Technology Ventures. Heidi was one of the first female CEOs in Silicon Valley in the 90'. She led the T/Marker company, one of the first entrants into the market for spreadsheet software. Witnessing the rapid development of computer technology, she has gathered a wealth of experience in business, entrepreneurship, and technology innovation. As a big supporter of the Science of Bias project, as well as being the original object of the famous study, Heidi is coming to give us a talk about how female leadership changed over the years, what challenges women are facing today and how it all translates into leadership positions in science.