Projects |

Healthcare Systems On the Verge of a Digital Revolution

Thu, 27 Aug 2020 00:00:00 +0000

Python-based NLP Classifier of medical services in the field of e-health to optimize the interaction among participants of the e-health model

Certificate of state registration of computer programs (in the Federal Service for Intellectual Property of the Russian Federation) № 2020667510 from 24.12.2020

Copyright holders: Shaimieva Elmira Shamilevna (RU), Butneva Alexandra Yuryevna (RU), Gumerova Guzel Isaevna (RU)*

Authors: Shaimieva Elmira Shamilevna (RU), Butneva Alexandra Yuryevna (RU), Gumerova Guzel Isaevna( RU), Stefan Martin Jens Tobias Huesig (Ger), Schewe Gerhard Paul Herbert (Ger)*

Object: Russian e-health system

Target groups: patients (P), doctors (D), health insurance (I)

Characteristics: Windows 10, Python 3.8 (64-bite version), supported by C++ Build Tools in Visual Studio and command prompt

Objectives:

Advancing NLP libraries for a better recognition of high-level Russian texts, e.g., scholarly literature, medical acts.
Defining key abbreviations in the telemedicine area
Defining core e-health actors
Visualizing processed texts, semantic trends for obtaining specific P, D, I information about the content

Twitter, Trump, and Coronavirus

Thu, 27 Aug 2020 00:00:00 +0000

Heads of government all over the world use Twitter to express their opinions and choices, support electoral campaigns, and engage in dialogue with citizens. Especially during the ongoing COVID-19 pandemic – an enormous shock hurting economies, societies, and cultures – virtual communication has become the predominant (and safest) form of interpersonal exchange, subsequently gaining influence on people’s behavior.

How can we grasp and measure the impact of political leaders‘ communication strategies on the perception and attitudes towards the COVID-19 pandemic and its consequences for our everyday reality? And how does message delivery differ across politicians and why? Using Biterm Topic Models and advanced quantitative text analysis methods in R, this project investigates patterns of Corona-related political communication with Twitter data from January to August 2020 for over hundred heads of government.

Judicial Power

Mon, 27 Apr 2020 00:00:00 +0000

The C4 project is tasked with developing useful quantitative tools that make spatial placement of political actors possible. Having comparative measures enables researchers to test theories and has proven powerful in explaining important attributes of the political economy of reforms.

Take a look at the project page at the Collaborative Research Center “Political Economy of Reforms”.