Prof. Dr. Danijela Markovic-Bredthauer Quantitative Methoden
- 0541 969-2033
- Fakultät Wirtschafts- und Sozialwissenschaften
- CN 0021, Caprivistr. 30 A, 49076 Osnabrück
- Fr. 09.30-11.00 nach Vereinbarung
- Professor(in) Fakultät für Wirtschafts- und Sozialwissenschaften
STATY is a data science web app that enables an intuitive application of data mining and classical statistics to arbitrary data! STATY is motivated by the belief that focusing on critical reflection of data processing phases is more effective for fostering creativity and innovation, than bringing endless units of introduction to programming to students who find learning how to program an overwhelming task. STATY’s approach is to inspire all students to explore issues they are studying in the curriculum on real data and practice interpreting the results, while those who want to go further can explore and improve the source code. STATY is designed and developed by Danijela and Oskar.
Read about our research in the press:
PNAS Journal Club: Sweeping study finds big landscape changes on the fringes of Europe’s protected areas EurekAlert: Protected area designation effective in reducing, but not preventing, land cover changes
Check our climate change vulnerability study
Created by D. Markovic-Bredthauer and O. Kärcher Music by Sophonic Media, http://instrumentalsfree.com
My research interests include a combination of applied statistics and mathematics and a variety of aspects of climate and global change, conservation ecology, water resources, flight meteorology, econometrics and banking. As such, my career path can be best described as a potpourri of science and economy. Throughout, a central thread is the application of the data mining techniques, signal processing and the development of statistical and/or process-based models. I consider theoretical investigations equally important as finding their application.
I worked at different German universities, led a research group and become a business consultant in an IT, risk management and financial consultancy before heading back to academia. I received my PhD in Civil Engineering from University of Kassel.
If you are interested in joining my team, please send me your CV and a statement of your research interests.
Description: The digital transformation has a significant impact on the competencies in the working world of tomorrow. The need for data literacy and critical data awareness has become obvious and calls for an effective response in higher education of natural and social sciences. However, active usage of data tools in undergraduate and graduate programs requires that both students and teachers have either good programming skills, or that they have to familiarize themselves with sometimes cumbersome software solutions. Students with excellent programming skills are an exception, few gain some programming skills at the cost of understanding the methodology, while the majority of students leave universities without basic data literacy skills.
STATY is growing out of the effort to bring more data insights to university education across all disciplines of the natural and social sciences. By providing easy access to the methods of classical statistics and machine learning, STATY’s approach is to inspire students to explore issues they are studying in the curriculum on real data, practice interpreting the results and check the source code to see how it is done or to improve the code.
STATY can be used in the process of teaching and learning data science, demonstrations of theoretical concepts across various disciplines, active learning, promotion of teamwork, research and beyond.
Description: Climate change is expected to exacerbate the current threats to freshwater ecosystems. The aim of the project is to develop a novel framework for assessing climate change vulnerability of freshwater ecosystems. The three climate change vulnerability dimensions are: (i) exposure to climate change (i.e., the extent to which environmental conditions in each catchment will change), (ii) sensitivity to altered environmental conditions (i.e., the lack of potential for species to persist), and (iii) resilience (i.e., ability to cope with climate change). Modelling the effects of climate change requires use of a multitude of modelling techniques as well as substantial methodological advances.
Funding: European Union's Horizon 2020 research and innovation programme under grant agreement No 641762
Description: Earth Observations hold great promise for addressing the environmental and ecological challenges. ECOPOTENTIAL project seeks to improve future ecosystem benefits through earth observations. The project focuses its activities and pilot actions on a targeted set of internationally recognized Protected Areas in Europe and beyond. As a contributor to the ECOPOTENTIAL project, the research group in Osnabrück is focusing on analysis and modeling of the mountain lake ecosystems dynamics (e.g. Lake Ohrid Region). The models will be used to monitor ecosystem state and the temporal evolution and identify ecosystem changes and environmental management needs.
- Statistical Methods in Meteorology
- Statistical Software
- Engineering Hydrology
Markovic D, Freyhof J, Kärcher O. Continental vs. Global Niche-Based Modelling of Freshwater Species’ Distributions: How Big Are the Differences in the Estimated Climate Change Effects? Water, 13, 816. doi:10.3390/w13060816, 2021
Kärcher O, Flörke M, Markovic D. Different life stage, different risks: Thermal performance across the life cycle of Salmo trutta and Salmo salar in the face of climate change. Ecology and Evolution, 11(13), 8941-8956. doi:10.1002/ece3.7731, 2021
Kärcher O, Filstrup CT, Brauns M, Tasevska O, Patceva S, Hellwig N, Walz A, Frank K, Markovic D. Chlorophyll a relationships with nutrients and temperature, and predictions for lakes across perialpine and Balkan mountain regions, Inland Waters, 10:1, 29-41, doi:10.1080/20442041.2019.1689768, 2020
Markovic D, Walz A, Kärcher O. Scale effects on the performance of niche-based models of freshwater fish distributions: Local vs. upstream area influences, Ecological Modelling, 411, doi:10.1016/j.ecolmodel.2019.108818, 2019
Hellwig N, Walz A, Markovic D. Climatic and socioeconomic effects on land cover changes across Europe: Does protected area designation matter? PLoS ONE 14(7), e0219374, doi:10.1371/journal.pone.0219374, 2019
Kärcher O, Frank K, Walz A, Markovic D. Scale effects on the performance of niche-based models of freshwater fish distributions, Ecological Modelling, 405: 33-42, doi:101016/j.ecolmodel.2019.05.006, 2019
Kärcher O, Hering D, Frank K, Markovic D. Freswater species distributions along thermal gradients, Ecology and Evolution, doi:10.1002/ece3.4659, 2018
- Markovic D, Savrina C, Kärcher O, Walz A, David J. Vulnerability of European Freshwater to Climate Change, Global Change Biology, doi:10.1111/gcb.13657, 2017
- Carrizo SF, Szabolcs L, Kapusi F, Szabolcs M, Kasperidus HD, Scholz M, Markovic D, Freyhof J, Cid N, Cardoso AC, Darwall W. Critical catchments for freshwater biodiversity conservation in Europe: identification, prioritisation and gap analysis. Journal of Applied Ecology, doi:10.1111/1365-2664.12842, 2016
- Markovic D, Carrizo SF, Freyhof J, Szabolcs L, Cid N, Scholz M, Kasperidus HD, Darwall W. Freshwater biodiversity under climate change: distribution range shifts and conservation needs, Diversity and Distributions, doi:10.1111/ddi.12232, 2014
- Markovic D, Hauf T, Röhner P, Speer U. A statistical study of the weather impact on punctuality at Frankfurt Airport, Meteorological applications, doi:10.1002/met.74, 2008
- Markovic D, Koch M. Wavelet and scaling analysis of monthly precipitation extremes in Germany in the 20th century: Interannual to interdecadal oscillations and the North Atlantic Oscillation influence, Water Resources Research, doi:10.1029/2004WR003843, 2005