First Event on Play with Real Data

Bu-Ali Sina University, Hamedan, Iran

31 December 2020 - 31 January 2021

Announcements

Announcement of Winner

The scientific committee announced the final decision on the winners of the competition: more info here.

Introduction

The world contains a large amount of data from various sources, including commercial transactions, social media, censuses, search engines, the internet, and more. Such data can help us to create a better world. Organizations and companies hire statisticians and data scientists to analyze their data and improve their businesses.

AGNA, along with Bu-Ali Sina University, and jointly with y-BIS under ISI and SDAT intend to organize the first event on the value of data to provide data holders and data analyzers with an opportunity to extract maximum value from their data. There is financial support made available by SDAT, International Statistical Institute (ISI) (which receives funding from The World Bank Trust Fund for Statistical Capacity Building), and ISBIS.

Organizers and the data providers provided more information about the team arrangement, competition processes, and the benefits of attending this event on a webinar on 31 December 2020.

The webinar is recorded, and recorded videos are available through the following links

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Aims and outputs

  • Playing with real data by explorative and predictive data analysis techniques 

  • A platform between a limited number of data providers and hundreds to thousands of data scientist Teams

  • Improving creativity and scientific reasoning of data scientist and statisticians 

  • Finding the possible “bugs” with the current data analysis methods and new developments

  • Learn different views about a dataset.

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Event Timeline

01 Dec. 2020 - 31 Dec. 2020

Data Provider Event Sponsorship

The organizations or companies register as the sponsors of the event and data holders.  

01 Dec. 2020 - 31 Dec. 2020

Thur. 31 December 2020

Event Webinar and QA

The event organizers declare the event's purposes and processes along with a QA session. 

01 Jan. 2021 - 07 Jan. 2021

Participant Registration

Team Members Registration and Subject Selection

01 Jan. 2021 - 07 Jan. 2021

10 Jan. 2021 - 15 Jan. 2021

The Competition

Each team receives the dataset for the selected subject and should prepare their posters.

Deadline: Saturday 16-17 Jan. 2021

The Report Sumbmision

Each team must submit the report 

Deadline: Saturday 16-17 Jan. 2021

18 Jan. 2021 - 24 Jan. 2021

Review Process

The submissions will be evaluated by help of the scientific committee and the data providers. 

25 Jan. 2021 - 29 Jan. 2021

Announce Selected Teams

The top 10 teams will be selected based on their ranks and must prepare a video to present their report in 20 minutes. 

25 Jan. 2021 - 29 Jan. 2021

Sat. 30 Jan. 2021

Selected Teams Webinar

All participants and the scientific committee attend a webinar to watch top 10 selected team presentations. 

Sun. 31 Jan. 2021

Award Ceremony Webinar

The top 3 teams out of 10 presented reports will be selected for the awards and be awarded in a webinar. 

Sun. 31 Jan. 2021

More Information

  • All the event participants can attend the event meeting (31 December) to learn more about the data and the processess of competition. 
  • There are different subjects that every team is allowed to attend one of them. 
  • There is not a specific task in each dataset. The player will decide what their problems and how much they are valuable. 
  • The event participant's scores and comments will be considered as part of the evaluation process to find the top teams.
  • The participants can see the best experiences of reporting on the same datasets that they were struggling with during the competition.
  • Online SDAT Certificate will be awarded to all Event Participants
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Award-Winning

The best-report awards consist of a cash prize:

$400 for first place,

$200 for second place, and

$100 for third place.

About

Review Process

Problem Definition and Clarification

Software Application

Creativity

Reference

Data description

Quality of report and Interpretation

Presentation

Scientific Committee

  • Rosa Aghdam, Institute for Physics and Mathematics (IPM), Iran 
  • Olawale Awe, Anchor University, Lagos, Nigeria
  • David L. Banks, Duke University, USA
  • Azam Dehghani, Shahid Beheshti University, Iran
  • Luca Frigua, University of Cagliari, Italy
  • Rahim Mahmoudvand, Bu-Ali Sina University, Iran (contact person: r.mahmodvand@gmail.com)
  • Sayed Jamal Mirkamali, Arak University, Iran
  • Seyed Morteza Najibi, Lund University, Sweden
  • Paulo Canas Rodrigues, Federal University of Bahia, Brazil 

Who Make this Event Happen

This Event is made available by SDAT, ISI (which receives funding from The World Bank Trust Fund for Statistical Capacity Building), ISBIS, and our great data sponsorships supports. We are grateful for their support of the event.

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Client 1
ISBIS
Bu-Ali Sina University
IGNA
IRSOA

Call for Sponsorship

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Data Holders, Organizations or Companies:

This is a unique opportunity to address and connect with different data scientist team. In this event, you will have many opportunities to meet representatives and experts of the field with a different background, understand different solutions for your challenges in data representation, infographics, and exploration as well as your future prediction questions. 

If you are interested to be the sponsor of the event,  please contact us through the following form for more details. We will reach you soon. 

 

Please fill out the form to contact you if you are interested to be the sponsorship of the first event on play with real data.
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Our Data Providers and Sponsors

Lund University, Sweden
Day Insurance
ٔNational Brian Mapping Lab

Contact Us

If you have any question, please fill free to contact us through this form. We will contact you soon.  

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Register in Event Newsletter

What is SDAT Online Certificate?

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The SDAT online certificate will be awarded from the event organizers, SDAT, ISBIS, ISI, and AGNA through our automatic electronic license system. Everyone can track it from  http://cert.sdat.ir. For example the abve certificate is trackable via 161ESI certificate identification through this link: http://cert.sdat.ir/?cid=161ESI to find out more information about the event. 

About Us

SDAT is an abbreviation for Scientific Data Analysis Team. It consists of groups who are specialists in various fields of data sciences including Statistical Analytics, Business Analytics, Big Data Analytics and Health Analytics. 

Get In Touch

Address:  No.15 13th West Street, North Sarrafan, Apt. No. 1 Saadat Abad- Tehran

 Phone: +98-910-199-2800

Email: info@sdat.ir

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