Critical Tech

Thanks to the international effort of data experts, now there is a globalmomentum around impact of data on our society. At critical tech meetup gather togheter to exchange knowledge, run lectures and workshops and educate ourselves and each other on various data related subjects. Our aim is to shed some lights on the importance of a responsible and etichal data-driven society, and to practise a literate and critical voice, which can positively influence the currentengine of change. Three pillars: 1) Data security: Cyber-Criminology, Cyber-security by Diana Selck 2) DataLaw, Digital law, e.g. GDPR by Sissela Engquist. 3) Data Science: Within our Data Science: Data Analysis, Machine Learning by Farnaz Motamediyan. Data Science: Within our Data Science pillar, we wiki heavily focus on python programming and various techniques and methods for analysing big Data Sets. We try to find an answer to questions such as; What does BigData mean? How to build infrastructures for our businesses? How to analyse and extract insights from a dataset with Python, SQL and Machine Learning? How to build relevant applications with BigData? And many more...-Python programming for Data Analysis-Machine Learning-Tableau for data visualisation Cyber Criminology & Security: Exploring different forms of cybercrime and antisocial/ harmful behaviour online. We use technologies as the Internet ubiquitous in our daily lives, some with good intentions, others with intentions to inflict harm. With a cyber-criminological approach, we will look at multiplefactors to explain anti-social behaviour online. This could include a typology of cybercriminals and their intentions, modus operandi and victimology. With this knowledge, we can start to understand certain crimes and develop best practices to combat them and develop preventive measurements. We want to encourage critical towards technology when looking at these phenomena from a socio-technological perspective and challenge the question: Is the human really the weakest link in cyber security? #knowledgesharing #userawarness #usinginsecuretech #usingbiasedalgorithm #darknet Digital Law: Deconstructing those legal issues that digital entrepreneurs come across when developing their business, such as handling personal Dara (GDPR), commercialising interwctual property, licensing issues, marketing, owning a business, and raising capital... Discuss and learn how to work efficiently with legalities to grow your business and avoid unnecessary risk.