Omdena Chapter Page: Turkiye

Omdena Turkiye Chapter - Omdena Chapters

Welcome to the Turkey Chapter!

Apply here to be a chapter lead for other cities and/or universities in Turkey.

Upcoming Challenges

Read about our Upcoming Challenge!
Project Starts: May 30th 
Duration: 8 Weeks
Turkey Chapter – Predicting Earthquakes with Machine Learning

The Background

Turkiye sits on major earthquake fault lines. Potentially, the most destructive one is the North Anatolian fault line (NAF). Istanbul and other mega-industrial regions sit on this fault line. In 1999, two massive earthquakes with 7.4 and 7.0 magnitudes hit this area and caused the death of more than 20,000 people. In a near future, it is expected that there will be another big earthquake in Istanbul and the surrounding areas. Unfortunately, the majority of building stock in these earthquake-prone areas is not earthquake-proof.
 

The Problem

It is not currently possible to predict the exact time and location of an earthquake. There is a hope that artificial intelligence methods can be used to predict earthquakes and this will give people and the governments the time and opportunity to take appropriate measures.
 

The Project Goals

 
In this 8-weeks project, with two modules, the goal is to review the earthquake prediction machine learning models in the literature and to build a basic model using the country’s existing earthquake data.
 

Expected Learning Outcomes

  1. Visualization of Turkiye’s earthquake data
  2. The literature review of AI earthquake prediction models.
  3. A basic earthquake prediction model
Australia Chapter
Turkey Chapter Lead

Aynur Bilge Saygin

She is a Data Scientist, Policy Analyst, and Researcher with a wide range of experiences in public, private, and nonprofit sectors including the areas of consulting, education, project management, policy analysis, and academic research. She is keen on working on the intersection of Data Science, Public Policy, Gender, and Urban Issues. She has a Data Science certification from Women Artificial Intelligence Academy. Previously, she studied in the Public Policy Ph.D. program at the University of Maryland and she holds an MPA degree from New York University. She studied Physics and Business Management at Bogazici University.