Data Science Economy:Data Vs. Covid
9 talks / 4 workshops / 1 panel
Conference Schedule!

15th – 19th, 2020, Online, Croatia

15.06. Monday

Day 1

Listen to some best of practice for using Data to fight Covid and pandemics economic consequences. And there is a great panel at the end.

Welcome to the Conference!

15:00 – 15:10
Welcome to the Data Science Economy Conference!
Join Day 1
Marko Štajcer, Poslovna inteligencija, Croatia

Birdbox – EUvsVirus Hackathon Project

15:10 – 15:40
The COVID-19 crisis happened very quickly and left most of the countries unprepared in a difficult situation. The governments are forced to create quick, but effective and tenable plans to minimize the losses. BirdBox is a solution that would help them to find optimal strategies for financial relief packages by…
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Ivan Bestvina, Courier Data / FoodTracks

ViraTrace – Contact Tracing 2.0
From an idea to over a 100M users in less than two months

15:45 – 16:15
COVID-19 created uncountable problems, but also made it clear how many people are ready to jump to action and self-organize around a shared goal. While teams across the globe were developing contact tracing solutions, we aimed to help them with data science and modelling resources. This goal quickly grew into a range of business opportunities out of which our startup was formed.
More info
Andrew Satz, EVQLV, US

AI-generated candidates against COVID-19

16:20 – 16:50
EVQLV is focused on developing treatments for cancer and auto-immune disorders. Following the outbreak of COVID, the team quickly shifted their technology to address the pandemic. Using a wide range of machine learning algorithms, EVQLV generated and filtered out millions of novel treatments for COVID-19 with a higher probability of success. They did this by measuring and leveraging biological rules and…
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Prof. Gordan Lauc, GENOS; Prof. Igor Rudan, University of Edinburgh; Vuk Vuković, ORACLUM Intelligence Systems

PANEL Data Vs. Covid

17:00 – 18:00
The data-science, AI and machine-learning communities are publishing numerous data-oriented articles on the COVID-19 pandemic in both industry and mainstream publications. AI and ML-powered companies developing products or services in the space of pandemic predictions, medical diagnosis and treatment discovery, with some hoping to see these companies play an impactful role in the ongoing crisis. Research teams and labs in academia are also reacting to the crisis, with rapid publication of research papers on the topic.
Did technology enable better response to pandemic situation? Has the dataset been adequately prepared for analysis? Can emerging technologies (AI, Data Science…) help us tackle key challenges in the future… medically and economically?

End of Day 1


16.06. Tuesday

Day 2

Over here, we will leave pandemics aside and get back to business. NLP and ML are keywords of the day and you will see practical application trough cases.

Welcome to the second day!

15:00 – 15:10
Welcome to the Data Science Economy conference!
Join Day 2
Domagoj Marić & Marija Frković, Megatrend Business Solutions

Application of Natural Language Processing in business processes

15:10 – 15:40
Natural Language Processing is the common subfield of linguistics and artificial intelligence which gives computers the ability to read and understand human languages. This presentation covers the basic concepts, methods and processes of NLP, its use-cases, and an overview of NLP projects we are currently doing in Megatrend Business Solutions.židara-Cvetković-w.jpg?resize=160%2C160&ssl=1
Božidara Cvetković, Adacta & Jozef Stefan Institute

Sales Forecasting & Stock Optimization using Machine Learning

15:45 – 16:15
Optimized stock is an important KPI in supply chain businesses since it directly translates into cash flow. On one side, constant high stock levels (overstocking) indicate that money on the stock is money not spent on potential growth and the other side low stock levels (frequent stock-outs) indicate that we might be losing money on the missed sale. The main objective of stock optimization is to…
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Nikola Strahija, Coin.Market

ML for municipality budgets

16:20 – 16:50
For decades, Croatia had at least 4 times more municipalities than needed, draining tax-payer budgets and slowing down growth. The results of this research provide a glimpse into the world of nonsensical spending and lay a fair path towards new territorial system.

End of Day 2


17.06. Wednsday

Day 3

On the third day you will find some great cases that will help you start with your own projects. Don’t miss the opportunity to get insight on tools and know-how.

Welcome to the third day!

15:00 – 15:10
Welcome & introduction to the agenda!
Join Day 3
Paul Lynn, A2Z-CM consultancy, Netherlands

Data Science needs Data – But it’s hard to start!
How to design new data flows to accelerate your Data projects

15:10 – 15:40
Simply getting to the startline of a data project may involve your data scientists searching for the right data through a fragmented IT landscape, requesting access to data, then preparing tooling and environments. These tasks to set up a data pipeline are usually monotonous, time consuming and can set…
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Dean Mišić & Dario Radečić, NEOS

How to predict and optimize cost in multi-cloud environment?

15:45 – 16:15
Migration to the Cloud environment is a global trend, with certain challenges related to this way of using resources and paying based on consumption having had arisen at its very early stage. As cloud infrastructure becomes more complex, even involving different cloud providers, cloud costs become more difficult to track, and the control of cloud environment more…
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Mislav Kerner & Lucija Mihalj, KOIOS

Modelling the COVID19 Pandemic Cases and Mobility Data

16:20 – 16:50
In this presentation we will show a Data Science project in which we researched and modelled the Coronavirus spreading in society during March and April. Due to a significant amount of asymptomatic or mild conditions cases which haven’t been officially registered, we were interested in the true number of COVID19 cases as well as predicted epidemic outcomes. It was mainly performed by…
o Assumptions – choice of the method
o Some techniques in detecting anomalies

More info

End of Day 3


If you looking for a way to dive deeper in to the data science check out workshops we have prepared on 18th and 19th of June. But as there are limited spaces for the workshops register in time!
Check out!