Call for Speakers

Deadline for Submission :
30 April, 2018
Notificatiion of Acceptance :
15 May , 2018
DL for Presentation Submission :
1 August, 2018
Conference dates :
18-19 September, 2018

MEET 2018 PROGRAM COMMITTEE

Leo Mrsic, PhD

Leo Mrsic, PhD

Chief Executive Officer
In2Data
Croatia

Aleksandar Linc Djordjevic

Aleksandar Linc Djordjevic

Board President
ISN
Serbia

Bojan Sovilj

Bojan Sovilj

1st Walker
Cloudwalker
Serbia



Boris Delibasic

Boris Delibasic

Professor
FON
Serbia

Igor Andjelkovic

Igor Andjelkovic

Analytics Lead
Nordeus
Serbia

Milos Milovanovic

Milos Milovanovic

Chief Technology Officer
ThingSolver
Serbia



Zana Pekmez

Zana Pekmez

Manager
Accenture
Austria

dr Ivan Lukovic

dr Ivan Lukovic

Full Professor
FTN
Serbia

Igor Ilic

Igor Ilic

Senior Data Scientist
Microsoft
Serbia



ABOUT THE CONFERENCE

Data Science Conference is one of the three largest Conferences dedicated to data science in Europe. DSC was first organized back in 2015, as a local project of the Institute of Contemporary Sciences. Last year Conference went international and gathered over 850 data enthusiast and data scientists from 19 different countries.
DSC 4.0 will be held in September 18-19 2018 in Belgrade and it will gather over 1000 attendees. During 2 days of the Conference, in 4 parallel track, attendees will get a chance to listen to 8 different topics from the data science universe. This year we have in plan to organise 54 talks, out of which we include 6 KeyNote talks.

We are looking for inspirational individuals who would like to became a part of our Speakers team. With your application and participation you are helping us achieve the goals of the Conference, and with it you are helping development of the whole Data Science community in Europe.

Goals of the Conference are promotion and popularization of Data Science in Europe, fostering networking inside of the Data Science ecosystem, creating new opportunities for the Conference attendees, enhancing gender equality and promoting women in Data Science and fostering international cooperation among Data Science communities

TOPIC LIST

Topics we are going to cover this year are: Big Data, Business Intelligence, Data Architecture & Engineering, Data Monetization, Data Science in 4th Industrial Revolution, Machine Learning & Artificial Intelligence, Open Data & Data Science Education.

In this track we are interested in talks on topics or application of Data Science on topics such as, but not limited to only:


Big Data

• Big Data Warehouse
• Streaming Systems & Real-Time Analytics
• Data in Cloud
• Machine Learning on Big Data
• Self-service data
• Big Data Visualisation
• Big Data Tools
• Smart Data
• Sensor Data
• Remote Data
• Dark Data and others

Data Architecture & Engineering

• Data Architecture
• Data Warehousing
• Data Mining
• Blockchain
• Big Data Engineering
• Effective Metadata processing and Data Governance
• Machine Learning embedded into ETL and analytics tools
• Intelligent Data Engineering

Machine Learning & Artificial Intelligence

• Predictive Analytics
• Natural Language Generation
• Text Analytics and NLP
• Speech Recognition
• Face Detection
• Biometrics
• Virtual Agents
• Machine Learning Platforms
• Deep Learning Platforms
• Reinforced Learning (RL)
• Generative adversarial networks (GANs)
• “Augmented Intelligence”
• Fraud detection and others

Business Intelligence

• Exploratory Analytics
• Data & Analytics in Clouds
• Data Visualization
• Data Virtualization
• Self-service BI
• BI Tools and others

Data Science in 4th Industrial Revolution

• Augmented Reality
• Intelligent Things
• Digital Twins
• Edge Computing
• Intelligent Platforms
• Robotics
• Self-Driving Cars
• Smart Apps
• Blockchain
• Smart Contracts and others

Open Data

• Open Data
• Social data revolution
• Data Transparency
• Regulated Data
• GDPR
• Open Data Initiatives
• Data Governance and others

Data Monetization

• Data Driven Organisation
• Digital Transformation
• Data Driven Business Management
• Data Insight
• Software/Data as a Service
• Platform Business
• Optimization and others

*Speakers for the track “Data Science education ” are not subject of this call.
They will be directly invited as Invited speakers.

TALK DESCRIPTION

This year we are introducing two speech description categories which we will use to note the type and level of the speech. The decision was made to help our attendees set their expectations for any speech available according to their knowledge and skills.

Type of talk we defined and divided as academic, business and technical talk.

Academic talk is a theoretical explanation of a certain phenomenon, academic research on a topic, a published paper or positional talk. It should contain methodology, results and/or findings. The talk needs to indicate how the research can be used in the real world. If a paper is published, it is not necessary, but it is advisable to leave a link to it;

Business talk should be an example of using a particular solution or product in the real world situation, without having to get into technical details. It may be a success/"why we've failed" story, talk about how you changed company culture toward data-driven or an innovative solution/product that has not yet been fully developed, but the benefits are clear. Within the talk, it is necessary to provide a context, to present the problem/challenge that you have faced, as well as to show the measured results (in absolute or relative numbers);

Technical talk should be a technical solution and a walk-through on how You came up with the solution, talking from personal experience. It may be a presentation of the possibility of a new software libraries for data processing, popular new algorithm, criticism about the ones currently applied or suggestions for the new ones that should be developed. It needs to have a detailed explanation of the methodology, attempts and mistakes, validation, scalability and benchmark, as well as a part that lists everything learned from the whole process;

Level of talk defines needed pre-knowledge for following the talk.

Beginner level indicates that no prior knowledge about the subject is required for the talk to be understood, that it is on a conceptual level and that it clearly show the benefits of using data science. Data Enthusiasts and Data Science Juniors should be able to follow the talk with ease.

Intermediate level indicates that to follow the speech the audience needs to be familiar with the basics of the topic at hand, that the talk gets into technical details and explains the processes behind them. Data Science Mediors should be able to follow this talk with ease.

Advanced level indicates that to follow this talk prior knowledge and experience in solving similar problems is needed, while the talk explains the methodology in detail from a perspective of a someone who deals with data science daily. Data Science Seniors and Data Science Experts should be able to follow this talk with ease.


SUBMISSION GUIDELINES

Anyone interested can apply. One person can make a maximum of two applications, for two different sessions. One person cannot make two different applications for one primary session. In case one person applies with two different speeches for the primary session we will only consider the first one.

The talk should last 25 minutes with 10 more minutes for a Q&A session.

In the application form you will be eligible to choose more than one session. If your speech can only be in one session and you do not want to present in an alternative one, leave only the preferred session checked in the application form. These applications will by no means be valued less than the ones that have more sessions selected.

We would like to ask you to be as precise as you can when choosing the Type of Talk you think best describes the one you want to give. We want to have a variety of types in each track, however, we will give a slight edge to the technical ones. When it comes to the Talk Levels - we will not prefer any level over another, it’s there simply to help the attendees choose the ones that best suit them. Additionally, we do have a few suggestions. If you are torn between two Talk Levels, we would advise you to choose the lower one, and if you are chosen as a speaker for the Conference you will have a chance to change the level of your talk later on.

After you finish filling out the application form you will get an email confirming that we have received your application as well as an overview of your application data. If your application is incomplete you will get an email in less than 48 hours notifying you to complete it.

Please submit your application before 30th April. Submissions sent after the submission deadline will not be considered.

All applications will be evaluated by the Programme Committee. You can expect the results no later than 15th May.