Blog
S. Morteza Najibi
A synergetic R-Shiny portal for modeling and tracking of COVID-19 data
Dr. Mahdi Salehi, an associate member of SDAT and assistant professor of statistics at the University of Neyshabur, introduced a useful online interactive dashboard that visualize and follows confirmed cases of COVID-19 in real-time. The dashboard was publicly made available on 6 April 2020 to illustrate the counts of confirmed cases, deaths, and recoveries of COVID-19 at the level of country or continent. This dashboard is intended as a user-friendly dashboard for researchers as well as the general public to track the COVID-19 pandemic, and is generated from trusted data sources and built-in open-source R software (Shiny in particular); ensuring a high sense of transparency and reproducibility.
Access the shiny dashboard: https://mahdisalehi.shinyapps.io/Covid19Dashboard/
First Event on Play with Real Data
Scientific Data Analysis Team (SDAT) intends 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. This event is organized by International Statistical Institute (ISI) and SDAT hosted at the Bu-Ali Sina University, Hamedan, Iran.
Organizers and the data providers will provide more information about the goals of the initial ideas, team arrangement, competition processes, and the benefits of attending this event on a webinar hosted at the ISI Gotowebianr system. Everyone invites to participate in this webinar for free, but it is needed to register at the webinar system by 30 December 2020.
Event Time: 31 December 2020 - 13:30-16:30 Central European Time (CET)
Register for the webinar: https://register.gotowebinar.com/register/8913834636664974352
More details about this event: http://sdat.ir/en/playdata
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.
AWARD-WINNING:
The best-report awards consist of a cash prize:
$400 for first place,
$200 for second place, and
$100 for third place.
Important Dates:
Event Webinar: 31 December 2020 - 13:30-16:30 Central European Time (CET).
Team Arrangement: 01 Jan. 2021 - 07 Jan. 2021
Competition: 10 Jan. 2021 - 15 Jan. 2021
First Assessment Result: 25 Jan. 2021
Selected Teams Webinar: 30 Jan. 2021
Award Ceremony: 31 Jan. 2021
Please share this event with your colleagues, students, and data analyzers.
Development of Neuroimaging Symposium and Advanced fMRI Data Analysis
The Developement of Structural and Functional Neuroimaging Symposium hold at the School of Sciences, Shiraz University in April 17 2019. The Advanced fMRI Data Analysis Workshop also held in April 18-19 2019. For more information please visit: http://sdat.ir/dns98
Releasing Rfssa Package by SDAT Members at CRAN
The Rfssa package is available at CRAN. Dr. Hossein Haghbin and Dr. Seyed Morteza Najibi (SDAT Members) have published this package to provide the collections of necessary functions to implement Functional Singular Spectrum Analysis (FSSA) for analysing Functional Time Series (FTS). FSSA is a novel non-parametric method to perform decomposition and reconstruction of FTS. For more information please visit github homepage of package.
Data Science Symposium
Symposium of Data Science Developement and its job opportunities hold at the Faculty of Science, Shiraz University in Feb 20 2019. For more information please visit: http://sdat.ir/dss97
Basic SQL Workshop in SRTC
Aworkshop on Basic of SQL Programing will be held on Jan 28 2018 (Bahman 8, 1396) by Dr. Sayed Jamal Mirkamali, Platform Department Chair in Statistical Research and Traning Center, Tehran, Iran. Dr. Mirkamali is assitant professor of Statistics in Arak University. For more information, please take click on the following link:
Monte Carlo Workshop in Ferdousi University (Mashhad)
A two-day workshop on Monte Carlo Simulation ith R will be held on Feb. 14 - 15, 2018 (Bahman 25-26, 1396) by Dr. Mahdi Salehi, Resident Member of SDAT, and Dr. Vahid Fakoor in Fersousi University of Mashhad. Mahdi is assitant professor of Statistics in University of Neyshabur. For more information, please take contact us through 051-38806206.
R Workshops Series in Shiraz University
A Series of Workshops on R Statistical Software will be held by Scientific Data Analysis Team and Shiraz University in Department of Statistics, Shiraz University, Shiraz. For more information, please take a look at the workshops homepage on http://sdat.ir/RShiraz.
The 3rd Series of Workshops on Advanced Statistical Methods in Cognitive Sciences
The 3rd Series of Workshops on Advanced Statistical Methods in Cognitive Sciences will be held by Scientific Data Analysis Team and Neuroimagin Analysis Group at Imam Khomenini Hostpital, Medical Imaging Center. For more information, please take a look at the workshops homepage on http://sdat.ir/statcog96 or join the workshops Telegram group through https://t.me/StatCog.
Modern Method in Insurance Pricing and Industrial Statistics
The Conference on Modern Methods in Insurance Pricing and Industrial Statistics (MIPIS 2017) was held at the Bu-Ali Sina University in Hamedan, Iran, from September 3rd to September 5th, 2017.
This conference has been jointly organized by a team from Bu Ali Sina University, by Kristina Lurz, the former chair of y-BIS, the society of Young Business and Industrial Statisticians under ISBIS, and Professor Søren Asmussen from Aarhus University in Denmark.
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A synergetic R-Shiny portal for modeling and tracking of COVID-19 data
Written by S. Morteza NajibiWritten on Friday, 08 January 2021 07:03 in SDAT News Read 4521 times Read more...
Dr. Mahdi Salehi, an associate member of SDAT and assistant professor of statistics at the University of Neyshabur, introduced a useful online interactive dashboard that visualize and follows confirmed cases of COVID-19 in real-time. The dashboard was publicly made available on 6 April 2020 to illustrate the counts of confirmed cases, deaths, and recoveries of COVID-19 at the level of country or continent. This dashboard is intended as a user-friendly dashboard for researchers as well as the general public to track the COVID-19 pandemic, and is generated from trusted data sources and built-in open-source R software (Shiny in particular); ensuring a high sense of transparency and reproducibility.
Access the shiny dashboard: https://mahdisalehi.shinyapps.io/Covid19Dashboard/
-
First Event on Play with Real Data
Written by S. Morteza NajibiWritten on Wednesday, 23 December 2020 13:45 in SDAT News Read 4785 times Read more...
Scientific Data Analysis Team (SDAT) intends 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. This event is organized by International Statistical Institute (ISI) and SDAT hosted at the Bu-Ali Sina University, Hamedan, Iran.
Organizers and the data providers will provide more information about the goals of the initial ideas, team arrangement, competition processes, and the benefits of attending this event on a webinar hosted at the ISI Gotowebianr system. Everyone invites to participate in this webinar for free, but it is needed to register at the webinar system by 30 December 2020.
Event Time: 31 December 2020 - 13:30-16:30 Central European Time (CET)
Register for the webinar: https://register.gotowebinar.com/register/8913834636664974352
More details about this event: http://sdat.ir/en/playdata
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.AWARD-WINNING:
The best-report awards consist of a cash prize:
$400 for first place,
$200 for second place, and
$100 for third place.Important Dates:
Event Webinar: 31 December 2020 - 13:30-16:30 Central European Time (CET).
Team Arrangement: 01 Jan. 2021 - 07 Jan. 2021
Competition: 10 Jan. 2021 - 15 Jan. 2021
First Assessment Result: 25 Jan. 2021
Selected Teams Webinar: 30 Jan. 2021
Award Ceremony: 31 Jan. 2021Please share this event with your colleagues, students, and data analyzers.
-
Development of Neuroimaging Symposium and Advanced fMRI Data Analysis
Written by S. Morteza NajibiWritten on Sunday, 21 April 2019 12:18 in SDAT News Read 4916 times Read more...
The Developement of Structural and Functional Neuroimaging Symposium hold at the School of Sciences, Shiraz University in April 17 2019. The Advanced fMRI Data Analysis Workshop also held in April 18-19 2019. For more information please visit: http://sdat.ir/dns98
-
Releasing Rfssa Package by SDAT Members at CRAN
Written by S. Morteza NajibiWritten on Sunday, 03 March 2019 21:03 in SDAT News Read 3515 times
The Rfssa package is available at CRAN. Dr. Hossein Haghbin and Dr. Seyed Morteza Najibi (SDAT Members) have published this package to provide the collections of necessary functions to implement Functional Singular Spectrum Analysis (FSSA) for analysing Functional Time Series (FTS). FSSA is a novel non-parametric method to perform decomposition and reconstruction of FTS. For more information please visit github homepage of package.
-
Data Science Symposium
Written by S. Morteza NajibiWritten on Friday, 01 February 2019 00:13 in SDAT News Read 5011 times Read more...
Symposium of Data Science Developement and its job opportunities hold at the Faculty of Science, Shiraz University in Feb 20 2019. For more information please visit: http://sdat.ir/dss97
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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.
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Phone: +98-910-199-2800
Email: info@sdat.ir