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The KIT Graduate School Computational and Data Science (KCDS) at KIT Center MathSEE proudly presents: KCDS Talks, a monthly series of short lectures from basic knowledge to trending topics in computational and data science.
 
In September, Dr. Rebekka Buse (Statistical Methods & Econometrics at KIT) joins us for a talk entitled ""Econometric Methods For Dynamic Networks". Rebekka is a postdoctoral researcher at KIT, Institute for Statistics. She received her PhD from KIT in 2019, during which she collaborated with the Bank for International Settlements in Basel. Previously, she worked at Leibniz University Hannover, Humboldt University Berlin and ENSAE Paris. Her research interests include network measures and time series methods for financial and energy data.
 
Abstract
After giving an introduction to measuring dynamic networks, we will dive into understanding the European credit risk network and how this was affected by policies and regulations during the sovereign debt crisis. We will explore relevant aspects to consider when measuring networks and further applications in industry and electricity markets.
 
If you are a master student, a doctoral researcher, a senior researcher or just interested in the topics - join us!
 
(for free and without registration)

5 day public event with lectures and talks, music and quiz, movie and cultural highlights - all on and around Mathematics. From 8 - 12 October 2024. Join us at Triangel Open Space in Karlsruhe to delve into the world of modeling, prediction & simulation.

Accurately estimating rainfall by radar data is challenging because radars measure reflectivity rather than direct rainfall, and environmental variations further complicate this conversion. The RainQuest hackathon aims to address this problem by developing models that integrate precise point measurements from rain gauge data with radar reflectivity, which offers better measurements resolution. By combining these data sources, we aim to enhance the precision of precipitation estimates.
We invite all data science and machine learning enthusiasts to join us for this exciting challenge in a relaxed, collaborative environment. Participants will enhance their skills in data analysis, machine learning, and meteorological modeling. No prior experience with weather data is required.  Additionally, you will have the opportunity to connect with like-minded individuals and work with KIT´s supercomputer cluster. 
 
This event is organized by machine learning enthusiasts from KCDS, with support from MathSEE, TRIANGEL and SCC.
 
It is part of the "Wissenswoche Mathematik", a public event presented by Triangel and KIT Center MathSEE with lectures and talks, music and quiz, movie and cultural highlights - all on and around Mathematics. Join us at Triangel Open Space in Karlsruhe to delve into the world of modeling, prediction & simulation.
 

Accurately estimating rainfall by radar data is challenging because radars measure reflectivity rather than direct rainfall, and environmental variations further complicate this conversion. The RainQuest hackathon aims to address this problem by developing models that integrate precise point measurements from rain gauge data with radar reflectivity, which offers better measurements resolution. By combining these data sources, we aim to enhance the precision of precipitation estimates.
We invite all data science and machine learning enthusiasts to join us for this exciting challenge in a relaxed, collaborative environment. Participants will enhance their skills in data analysis, machine learning, and meteorological modeling. No prior experience with weather data is required.  Additionally, you will have the opportunity to connect with like-minded individuals and work with KIT´s supercomputer cluster. 
 
This event is organized by machine learning enthusiasts from KCDS, with support from MathSEE, TRIANGEL and SCC.
 
It is part of the "Wissenswoche Mathematik", a public event presented by Triangel and KIT Center MathSEE with lectures and talks, music and quiz, movie and cultural highlights - all on and around Mathematics. Join us at Triangel Open Space in Karlsruhe to delve into the world of modeling, prediction & simulation.
 

Accurately estimating rainfall by radar data is challenging because radars measure reflectivity rather than direct rainfall, and environmental variations further complicate this conversion. The RainQuest hackathon aims to address this problem by developing models that integrate precise point measurements from rain gauge data with radar reflectivity, which offers better measurements resolution. By combining these data sources, we aim to enhance the precision of precipitation estimates.
We invite all data science and machine learning enthusiasts to join us for this exciting challenge in a relaxed, collaborative environment. Participants will enhance their skills in data analysis, machine learning, and meteorological modeling. No prior experience with weather data is required.  Additionally, you will have the opportunity to connect with like-minded individuals and work with KIT´s supercomputer cluster. 
 
This event is organized by machine learning enthusiasts from KCDS, with support from MathSEE, TRIANGEL and SCC.
 
It is part of the "Wissenswoche Mathematik", a public event presented by Triangel and KIT Center MathSEE with lectures and talks, music and quiz, movie and cultural highlights - all on and around Mathematics. Join us at Triangel Open Space in Karlsruhe to delve into the world of modeling, prediction & simulation.
 

Accurately estimating rainfall by radar data is challenging because radars measure reflectivity rather than direct rainfall, and environmental variations further complicate this conversion. The RainQuest hackathon aims to address this problem by developing models that integrate precise point measurements from rain gauge data with radar reflectivity, which offers better measurements resolution. By combining these data sources, we aim to enhance the precision of precipitation estimates.
We invite all data science and machine learning enthusiasts to join us for this exciting challenge in a relaxed, collaborative environment. Participants will enhance their skills in data analysis, machine learning, and meteorological modeling. No prior experience with weather data is required.  Additionally, you will have the opportunity to connect with like-minded individuals and work with KIT´s supercomputer cluster. 
 
This event is organized by machine learning enthusiasts from KCDS, with support from MathSEE, TRIANGEL and SCC.
 
It is part of the "Wissenswoche Mathematik", a public event presented by Triangel and KIT Center MathSEE with lectures and talks, music and quiz, movie and cultural highlights - all on and around Mathematics. Join us at Triangel Open Space in Karlsruhe to delve into the world of modeling, prediction & simulation.
 

Many students and early career researchers wonder which next career step is right for them. The question “Academia or industry?” plays a central role. KIT Graduate School Computational and Data Science (KCDS) and KIT Career Service and Alumni jointly organize this panel discussion, where KIT alumni talk about their personal experiences, job profiles and career paths in computational and data science.
In this panel discussion held in English language, you will receive first-hand information from Alumni with a similar academic background, who have already gained a foothold in the world of work. We invite you to join the panel discussion with an informal get-together for more in-depth questions afterwards.
 
This event is part of the Wissenswoche Mathematik, a public event presented by Triangel and KIT Center MathSEE with lectures and talks, music and quiz, movie and cultural highlights - all on and around Mathematics. Join us at Triangel Open Space in Karlsruhe to delve into the world of modeling, prediction & simulation.
 
Photo: Brooke Cagle on Unsplash

The event will be held in English and run for two days, on October 21 and 22, 2024.
 
Researchers are responsible for ensuring that their own conduct complies with the standards of good research practice. The workshop will introduce basic issues of research integrity by addressing important guidelines of the Deutsche Forschungsgemeinschaft (DFG) and specific regulations of KIT for safeguarding good research practice – relevant for every early career researcher@KIT.
 
A) Basics of Responsible Conduct
Introduction: Research, ethical principles and professional ethos of a researcher Basic (inter-)national recommendations and regulations for safeguarding good research practice Research misconduct: Examples, elements of offense, reasons and consequences  
B) General Responsibilities
Quality management: research design, documentation/archiving Publication process, authorship and review of manuscripts Supervision: Expectations/duties/roles Organizational culture: Collaboration, communication, prevention and dealing with conflict Procedures in case of suspicion and relevant contact points  
C) Important Specific Responsibilities
Important prior to any data collection: Authorization or permission relevant research Possible topics (depending on participants’ disciplinary/research background): ‘Research on animals’, ‘Research on humans’ and/or ‘Surveys, interviews, data privacy and security issues in research’  
Via dialogic inputs, discussion of case examples, single/group work and plenary discussion participants will have the opportunity to discuss and reflect their individual research practice and professional attitudes on being a researcher.
 
This event is open to doctoral researchers and postdocs at KIT who are KHYS members.
 
The event will be held in English and run for two days, on October 21 and 22, 2024.
 
Technical requirements: To participate in this event, you need a stable internet connection, a webcam and a microphone. Participants will receive further detailed information regarding the online-platform prior to the event.

If you are unable to attend an event, please inform us promptly via e-mail. This way you are allowing your colleagues the opportunity to participate and you help us to maintain the quality of our Further Education Program. Thank you!

This two-day on-site workshop takes place on November 21 & 22, 2024.
 
Content
“Do I have a plan for how to achieve my PhD? How do I define priorities and draw up a schedule? What is required for the process of writing?” A PhD project lasting a number of years will raise many questions requiring individual and tailor-made solutions.
 
This workshop will help you develop your individual strategy ensuring that your planning will both be effective and efficient in achieving your goal. You will not only learn more about self-management methods, but will also identify and explore external resources such as dealing with the expectations of others and receiving active support from your supervisors.
 
Registration
Please visit the KCDS intranet portal to register for this course.
For non-members of KCDS: 
In order to be able to book the course, a KCDS guest/non-member account is necessary.
If you don't have an account yet, you can register here: Create a KCDS account to book courses
Once your account is activated by a KCDS administrator, you will be able to book the course.
 
Picture: Mindspace Studio on Unsplash

This two-day on-site workshop takes place on November 21 & 22, 2024.
 
Content
“Do I have a plan for how to achieve my PhD? How do I define priorities and draw up a schedule? What is required for the process of writing?” A PhD project lasting a number of years will raise many questions requiring individual and tailor-made solutions.
 
This workshop will help you develop your individual strategy ensuring that your planning will both be effective and efficient in achieving your goal. You will not only learn more about self-management methods, but will also identify and explore external resources such as dealing with the expectations of others and receiving active support from your supervisors.
 
Registration
Please visit the KCDS intranet portal to register for this course.
For non-members of KCDS: 
In order to be able to book the course, a KCDS guest/non-member account is necessary.
If you don't have an account yet, you can register here: Create a KCDS account to book courses
Once your account is activated by a KCDS administrator, you will be able to book the course.
 
Picture: Mindspace Studio on Unsplash

This two-day on-site workshop takes place on Januar 13 & 14, 2025.
 
Content
Publications of research results is the currency in modern science. It might not be your favourite occupation, but it is a decisive one, strongly determining your future research and career opportunities. In this course, you will be introduced to the process of writing a scientific paper. In order to deepen and apply this knowledge, you will also actually produce a manuscript based on your research data (and one that might serve as the foundation for a journal submission). Questions about other forms of text like conference papers can also be discussed.
 
A-Z of scientific writing
Developing a clear main message Priority setting in the writing process Structure and logical flow of the text Create meaningful graphics Memorable introduction and abstract How to develop a daily writing routine Efficient communication with co-authors Plus: Writing with AI tools
Please note: Given that this is a hands-on online-workshop, you need some (analysed) data that can serve as the foundation for a journal article. Please also bring some scientific texts written by you (e.g. Bachelor or Master thesis, as well as any published or upcoming papers) to the workshop.
 
Registration
Please visit the KCDS intranet portal to register for this course.
For non-members of KCDS: 
In order to be able to book the course, a KCDS guest/non-member account is necessary.
If you don't have an account yet, you can register here: Create a KCDS account to book courses
Once your account is activated by a KCDS administrator, you will be able to book the course.
 
Picture by Joanna Kosinska on Unsplash

This two-day on-site workshop takes place on Januar 13 & 14, 2025.
 
Content
Publications of research results is the currency in modern science. It might not be your favourite occupation, but it is a decisive one, strongly determining your future research and career opportunities. In this course, you will be introduced to the process of writing a scientific paper. In order to deepen and apply this knowledge, you will also actually produce a manuscript based on your research data (and one that might serve as the foundation for a journal submission). Questions about other forms of text like conference papers can also be discussed.
 
A-Z of scientific writing
Developing a clear main message Priority setting in the writing process Structure and logical flow of the text Create meaningful graphics Memorable introduction and abstract How to develop a daily writing routine Efficient communication with co-authors Plus: Writing with AI tools
Please note: Given that this is a hands-on online-workshop, you need some (analysed) data that can serve as the foundation for a journal article. Please also bring some scientific texts written by you (e.g. Bachelor or Master thesis, as well as any published or upcoming papers) to the workshop.
 
Registration
Please visit the KCDS intranet portal to register for this course.
For non-members of KCDS: 
In order to be able to book the course, a KCDS guest/non-member account is necessary.
If you don't have an account yet, you can register here: Create a KCDS account to book courses
Once your account is activated by a KCDS administrator, you will be able to book the course.
 
Picture by Joanna Kosinska on Unsplash