AGENDA

Мариам расскажет о важных принципах и ключевых элементах визуального сторителлинга, которые необходимо учесть при создании вашей истории. Онa предоставит примеры хороших и плохих визуализаций, чтобы лучше понять важность правильной визуальной коммуникации. Затем участники будут разделены на группы и рассмотрят примеры визуализaций и придложат способы как улучшить их.

What can you do in 100 seconds? Miss the train. Eat an ice cream, or two. Fall in love and then be disappointed. Read the title, subtitle and teaser of an article. Ask Siri if it is going to rain and then curse Siri because it will obviously going to rain. In 100 seconds you can do a lot of things. You can even visualize data . You don't even need to know how to program. Tools like Datawrapper let oyu quickly create visualizations of your data.

Simulation and probability are natural partners - the frequentist interpretation has at its heart the idea of replicating events over and over. In many cases though, these ideas are hard to understand at a deep level as they are abstract. In this workshop we solve that by programming simulations to illustrate the core idea of statistics and probability such as the Law of Large Numbers, Bayes Rule and the Central Limit Theorem.

We will tell you about neural networks, history and trends. Speak about neural network types, differences between them and tasks they fit and solve. Discuss in detail back-propagation algorithm, which plays main role. Also few words about convolutional neural networks, reccurent neural networks, autoencoders and so on. Real life examples and modern trends. Interesting references, papers and source code examples of course.

We are going to talk about open legislative data. Why it is important? What kind of data should be published, structure and format? How to communicate open legislative data? We are interested to hear stories from your countries too. And we are going to work in groups to develop the best messages for openning legislative data as open data

Что такое открытые данные и где их найти? Как и почему стоит использовать открытые данные для аргументирования своей точки зрения? Вместе с участниками мы составим план дата истории, найдем набор данных по теме, подготовим его к работе и выполним базовый анализ данных с помощью табличного программного обеспечения (Google Spreadsheets).

Mariam will cover the basic principles of information design, such as layout, visual hierarchy, colors, typography, and chart types. She will take you through the process of creating a data visualization, such as static infographics and interactive visulizations.

Even though not all the organizations deal with both data-driven projects and fact-checking projects, in many countries exist both fact-checking platforms and, for example, public spending monitoring platforms. The workshop builds on the Funky Citizens experience in fact-checking by (re)using the data we gather in other data-driven projects. The work will explore ways to foster partnerships between organisations in our countries and to give a new communication twist for not so sexy topics like budgets or complicated datasets through fact-checking. The workshop will be very hands on and interactive and its aim is to identify together ways to bring more data in the everyday life of our public.

Data science can seem forbidding and opaque to the executives running a business. It is our experience that exceptional data visualisations are often the most effective way of communicating with the people paying your wages. This workshop sets out to build a web-based interactive dashboard using open source libraries such as DC.js, leaflet.js and crossfilter. The workshop will be a whistle-stop tour of how we learnt to build dashboards and will include all the code demonstrated via Github. If you wish to code along I recommend having either Brackets or Atom installed on your laptop.

Convolutional neural networks are workhorses of modern computer vision tasks such as object recognition, object detection, semantic segmentation etc. In this workshop we will cover basics of deep convolutionoal neural networks and their applications in image analysis. We will cover training vanila convolutional nets from scratch, as well as fine tuning pre-trained models in Python.

Every third dollar spent by governments globally is spent through public procurement. Every minor shift in savings, transparency, and efficiency of these funds can mean tremendous benefits for everyone. This is where open contracting steps in - to help make sure procurement is done fairly and creates value for many.
You might have heard about open contracting. The workshop is your opportunity to learn more and see how you can use it in your work through a quick introduction and practical hands-on exercise on Open Contracting Data Standard (OCDS).
Many countries now in stage of e-procurement systems implementation. More transparency, more data, more tools increase demand for monitoring. But how are you monitoring tenders? How many of us in Ukraine? Georgia? Romania? Other countries? We are not alone - let’s think how collective action can unveil corruption and improve public procurement system?

Задача этого воркшопа - помочь участникам выбрать оптимальный инструмент визуализации данных для их проекта. Дать обзор инструментов визуализации данных для разных форматов (статическая/интерактивная визуализация, картография, визуализация графов, таймлайнов и т.д.), задач (исследование/презентация данных), и уровней сложности (от простых веб-сервисов до языков программирования).

There are plenty of sophisticated and complicated methods to visualize data which big media outlets use to tell their stories. For normal people there are open source tools that make our lives easer and give us the opportunity to do line charts and treemaps. But what about using non-digital tools to do your data story? So, prepare for a creative hands on workshop.

Many of you have created a useful data model like recommendation system, natural language processing, sentiment analysis model, or perhaps image color recognition and wanted to expose outcome to the world in easy and fast manner. This workshop aims to give introduction to how to build a RESTful application and how you can rapidly serve any data with a minimal effort. In this interactive workshop we will cover how to build RESTful API using Zalando Connexion. Connexion is a lightweight framework that uses Swagger specifications and Python Flask to define and build APIs very rapidly.
By the end of this workshop you will be able to build RESTful API for any data, that can serve high load, and scale on demand. If you are familiar with Python, this workshop will show you how to use basic coding skills to develop production ready project. Bring your laptop and code alongside, or if you got any questions regarding REST, Swagger specs and Python Connexion, you can join the workshop too. Before the session, I highly recommend to visit the workshop web-page and follow the setup instructions. This will ensure that you have everything installed to code during this workshop. If you have any problems with setting up create GitHub issue and I will answer them.

Jason will go over important requirements of visual storytelling to keep in mind when creating your story. He will provide examples of good and bad visuals to emphasize why these requirements are important. Participants will then be split into groups and critique visuals and come up with suggestions on how to improve the visuals.

There are multiple steps involved before one can use the data to train a Machine Learning model. Including data ingestion, data cleaning, validation, aggregation, feature engineering etc. Those steps are usually refered as Data Engineering. With the rise of the volumes of the data we collect every day, complexity of the data management increases dramatically. In this workshop we are going to cover Data Engineering and some of the tools used there, especially distributed computation engine Apache Spark.

The speaker will reveal how the information about a Russian PEPs can be revealed using different sources, including the Declarator.org project, a unified database of asset and income declarations, as well as other methods and sources. Identifying foreign politically exposed persons became a crucial issue for different actors fighting against corruption and illicit financial flows: financial institutions, journalists, NGO activists, law enforcement authorities. A high ranked employee that wish to spend his illicit money abroad should not become a private person just crossing the border, but how their identity can be revealed? The workshop participants will discuss the possible sources of information about politically exposed persons in the jurisdictions of their origin, the requirements for such information, their weaknesses and the legal background behind.

Can data analysis and predictive analytics help us in automatically detecting fake-news? Let's try to answer together!
The workshop will guide the attendees in analyzing a large dataset containing fake and real news that actually appeared on communication media. Different text-mining and predictive modelling techniques will be applied, while their respective advantages and disadvantages with respect to the problem at hand will be thoroughly discussed.
During the workshops the attendees will be encourage to submit their own solutions through the RAMP platform (https://www.ramp.studio). RAMP is an initiative promoting collaborative data-analysis challenges, where participants can help each other in solving complex machine-learning problems. In the weeks following the workshops, the participants will have the opportunity to keep collaborating on RAMP for optimizing their predictive models for fake-news detection.
The workshop is open for everybody that is interested in learning how to address a complex data analysis problem using machine-learning techniques. A basic understanding of machine-learning and an initial knowledge of Python are suggested for actively contributing to the workshop and the collaborative challenge.

Data needs an open Internet and easy access to Internet number resources such as IPv4, IPv6 and AS Numbers.
This workshop will explain the global and regional Internet Registry system, including the relevant policies and processes. It will explain how you can participate in the policy development to make and support policies changes that are good for your business. The workshops will also highlight how to get Internet number resources.

In 1,5-hours, Christiaan Triebert will provide participants with detailed walk-through of how open source investigations were conducted, showing tools, resources and methods used. Examples will include the downing of Flight MH17 above eastern Ukraine, the failed coup attempt in Turkey, Libya's social media executioner, and airstrikes in the Middle East.

We will define problem of one-class collaborative filtering and introduce common evaluation metrics. After that we will discuss two approaches - Matrix Factorization (Weighted Regularized Matrix Factorization) and Linear Method. First one looks for user and item embeddings, second one learns item-item similarity matrix from the data. We will show that both methods are efficient and allow to solve large-scale real-world problems on a moderate hardware.

Jelena Vasic will show the participants how KRIK team has built its award wining online Database of Assets of Serbian Politicians (https://imovinapoliticara.krik.rs/display/disp1/disp.php). The entire research process will be discovered step by step, explaining resources and methods used. Database is created to help citizens in Serbia to better understand who are the people who run their country.
In the same workshop Attila from K-Monitor will talk about a data liberation campaign called the Dawn of Asset Declarations. It is an overnight event where volunteers help to transform MP's annual asset desecrations into transparent and machine readable format. After cleaning the data we release it in a simple sheet so that information can be compared between MPs and over time. It also serves as an update to our partner's web directory of MPs' assets. Our event is not only about data, it's an important advocacy tool to shape the political agenda and enforce better regulation. Moreover participants learn a lot about their representatives.