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[Event] Women Who Code – Berlin – 23 May 2018

May 24, 2018 - Berlin, event

Details about event: https://www.meetup.com/Women-Who-Code-Berlin-Germany/events/249704886/

Talk 1 – Property Graph and Graph Analytics on top of a key-value store to analyze data from Meetup.com by Karin Patenge
Karin Patenge at Twitter @kpatenge

About the speaker: “Karin is currently working as a Business Development Manager for Technology at Oracle. She joined Oracle in 2007 as a PreSales Consultant focusing on the enablement of customers and partners in embedding Oracle Technologies (software products and services) in their solutions. Having a strong background as Database Engineer she is especially interested in modern Data Management & Analysis Platforms as well as in emerging rsp. disruptive technologies.”

Description: “Social media data such as those from Meetup.com can very efficiently represented as graph with properties assigned to vertices and edges. This gives the opportunity to use graph algorithms for the analysis of these data. The purpose of this session is to show how to build a graph from Meetup.com data and how to use an In-Memory Graph Analytics Framework to analyze the graph in order to (1) find influencers for certain topics in different locations or (2) identify hot topics people are interested in most and more. For the demo part I´m using Oracle´s Big Data Lite VM 4.11 as environment, RStudio / R Notebook for data extraction and transformation as well as PGX and PGQL. All scripts are reproducible once the user has at least a Meetup REST API Key and are shared via Github.”

Notes:
* Code on GitHub
* Oracle big data lite virtual machine
* Visualization of data with open source Cytoscape

Presentation
Link Access code: WWC20180523

Talk 2 – AI and Machine Learning as a tool for customizing a learning process by Gunay Kazimzade

About the speaker: “Gunay is a Research Assistant at Weizenbaum Institute for the Networked Society (weizenbaum.net). Ph.D. student in Computer Science at TU Berlin. After Applied Math and Computer Science degrees in Russia and Germany was involved in the education field and was teaching CS and STEM to the different age groups. Managed two social projects focused on women and children CS education. Trained over 3000 women and 300 children in Azerbaijan. Currently working on Research Group “Criticality of Software Systems”. The main research directions: AI and ML in education, Racial and gender biases in AI, HCI and critical perspectives of the future autonomous cars.”

Description: “Reimagining the future of education. How can we use AI and ML algorithms to customize the education process and to address the differences of each learner? How should the classroom of the future look like in order to take into consideration the individual needs of each student, as well as the future skills needed to survive in the AI-enabled world where most of the jobs will be automated and new ones will be created? In my short speech, I would like to address the most important points regarding the future of work and future of AI-enabled inclusive education.”

Notes:
* Project website https://vernetzung-und-gesellschaft.de/fg20/
* Usage of AI and Machine Learning and questions we need to address in eductaion and general usage of AI to make learning more personalized and AI less biased, racist, sexist.
* My main personal question regarding this presentation is how can we trust corporations who are in charge of the algorithms and who make profits from them. If the profit is the only incentive to change the algorithms, will unbiased algorithms be more profitable or will corporations keep supporting biased ones – the ones that support the current world order and domination over those who don’t have economic, political and social capital. Even if we know about the problem of biased algorithms this doesn’t mean they will change in the near future or ever. And there is also a question if algorithms and services based on them can become open sourced and public property instead of being closed and managed by corporations.

Talk 3 – Hear How You Like To Hear by Peggy Sylopp
Twitter @pegx_

About the speaker:Peggy Sylop is freelance computer scientist, artist and master of public policy. At the moment she’s manager the citizen science project “Hear How You Like To Hear” at Fraunhofer IDMT Oldenburg.
2016 she concepted two projects DIY-assistive technologies, awarded by the BMBF: “Costum DIY Limbs” – forearm prostheses in 3D printing – and “Made for my Wheelchair” – addons for electric wheelchairs.
Since 2010 she concepts programming workshops for complete newbies, independent of ages.
2015 she founded the meetup group “Maker Girls”.
2014 she founded the digital art research lab pexlab.space”

Description: “The interplay of Tech, Arts, Science and Participation for product development.”

Notes:
* Bluetooth technology is too slow to be used for hearing aids as only 10ms delay is still acceptble
* Hear How You Like To Hear Project Page
* Open source repository for the project Hearing Aid on GitHub with code for Raspberry Pi GitHub