Guidelines

Global Datathon with a Local Host in Sofia

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GLOBAL DATATHON 28 – 29 – 30 September 2018

Local Host | FEBA, Sofia University

Keep in mind that the registration for the Datathon in Sofia is starting at 19:00 (BG time) in the Faculty of Economics and Business Administration (map), University “Sv. Kliment Ohridski”! The Datathon coding will continue in the same location during the weekend. For the local host schedule and details read more below!

 

Sofia University St. Kliment Ohridski is the first Bulgarian high academic school establishment. Its history is an embodiment and a continuation of the century-long cultural and educational tradition of the Bulgarian nation. The University is the center of the development of science and the education of students in all domains of life; it also cultivates highly educated, nationally responsible personalities who will lead the Bulgarian nation to spiritual feats and social welfare.

The Faculty of Economics and Business Administration (FEBA), which is the starting point of the Global Datathons, is one of the leading institutions for teaching and research in the field of Economics and Business in Bulgaria and the Balkan region. The Faculty’s data science-oriented programmes are designed to meet the needs of the new business environment where the students acquire key skills in understanding data specifics, effectively reveal hidden information and turn it into value.

The Benefits of participating in the Datathon

Here is what Gloria Hristova, an alumni representative at the advisory council part of the Master’s in Business Analytics program at FEBA, says about the upcoming datathon and her role as a mentor:

“I am sincerely happy to have the opportunity and challenge to be a part of the mentoring team for one of the cases. Text analysis is my favorite topic so I am very enthusiastic about my participation. I also hope that through my experience I will be able to contribute and help the participants to present interesting and working solutions.

The Datathon is a great initiative and I believe it is very beneficial to all participants. I would also like to congratulate Data Science Society for the organisation of the event.”

Joining the Datathon in Sofia

Everyone with the desire to learn in the field of Data Science can participate– be it math geeks, data gurus and enthusiasts, students and beginners or anyone interested in Machine Learning, Artificial Intelligence, Statistics or an area of the Data Science domain.

*Keep in mind that if you are a participant, who wants to join the Datathon physically in Sofia, you should choose In Sofia, Bulgaria from the drop-down options of the question – How you are going to participate at the registration page!

Online Communication:

The participants may get in touch with the DSS team via the Data.Chat.

If the participants have questions regarding the activities they are advised to use the Data.Chat channels accordingly:

  • Announcements: #announcements channel
  • General collaborative channel: #general channel
  • Technical questions: #issues channel
  • Local organization channel: #general 
  • Groups where the cases are going to be discussed with industry experts: #cases_company_sept_2018….
  • #nlp_text_mining, #ml, #sna, #cv, #ai, #bio_inf – Areas where the top mentors are going to be and the most important, you are free to set up your team group and start working in private group

These channels are going to be the main place of where you will ask questions to the mentors during the Datathon.

Location:

The Faculty of Economics and Business Administration (FEBA), Sofia University

Logistics and onsite management:

Denitsa Yordanova, [email protected] or contact via the Data.Chat @denitsa

Registration:

It starts @19:00 HRS with some networking with mentors and companies.

Cases and Mentors presentations:

Cases, Experts, and Industry mentors will be presented briefly by the DSS team following the schedule below and QA from the participants about the case.

There will be time for an explanation of the Datathon rules and what is expected as a result of a successful completion of the Datathon. Every participant without a team will have the chance to participate in a matchmaking process and form his/her team.

Local Schedule:

Ready, Set, Go on 28th Sept!

19:30 – 20:15

Official Opening

20:15 – 21:30

It’s Quest time! – participants

22:00

Team article Deadline

22:00- 1:00

Beer pong tournament

 

The Coding continues on 29th Sept!

* Expect local fun sessions during the day!

00:00 – 24:00

Deep Data Learning and Hard Working on the Cases

17:00 – 20:00

*Each team to upload their video on Twitter and Facebook with #Datathon and #GlobalDatathon2018

21:00

Deadline to upload a working version of your article [to qualify for the competition]

23:00

Semi-Finals Groups Announcement

It’s Show Time on 30th September

00:00 – 14:00

The Work continues!

14:00

Deadline to upload a final version of your article

14:00 – 15:15

Presentations preparation & Semi-Finals Groups Review

15:15 – 15:30

Finalists Announcements

15:30 – 16:30

Online Presentations by the Finalists via Hangout

16:30 – 17:30

Networking & Finalists Jury

17:30 – 18:00

Winners announcement

18:00 – 20:00

Data.Celebration Party

 

Team presentations are on Sunday, @15:30 HRS and everyone is welcome (for people not participating in the Datathon, please register for free Datathon Fan: Online Stream to notify you when we begin).

Transport and parking:

Parking in the area is difficult on weekdays, however, it should be no problem on the weekend.

However, we recommend using public transport if possible. The closest bus stop is Zhk Iztok, bus 84, 280; trolley – 4,5,8,11.

Other:

Smoking is not allowed anywhere in the building.

Please note that this is a 48 hours event and teams will be working throughout Friday and Saturday night. Access will be controlled and limited in the hours between 10:00 PM and 8:00 AM. We provide coffee, tea and snacks.

* If you have any questions, please refer to the General rules for participation and ask in the respective channel in the Data.Chat.

 

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