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Thursday, 30 January 2025
9:00 - 17:00 
Good scientific practice - Ethical and legal orientation in everyday research
t.b.a
Dr. Peter Schröder, GOLIN

Plagiarism and falsification of data by researchers have been in the news repeatedly over recent years. The internet allows knowledge to become a mobile and easily re-packaged good. Even though deliberate academic misconduct is not representative, good scientific practice presents a series of difficult questions, and nagging problems for researchers and accidental breaches can happen.

But there are basic and helpful principles which researchers should be aware of and should be able to apply. Where this is the case, it is possible to act appropriately even in difficult situations and avoid dangerous pitfalls in the academic career.
This workshop familiarises participants with good scientific practice. It informs them about ethical and legal guidelines and uses typical issues and problems as examples to show how they can be practically implement in research.
 
The workshop topics are:
>> Basics of good scientific practice: The DFG recommendations
>> Plagiarism and paraphrase: Just a question of formulation?
>> Know your rights and duties! Supervision, internet law and intellectual property law
>> Authorship, publication and documentation: A map for researchers
>> Competition or collaboration? When two researchers are working on the same topic …
>> What to do in situations of academic misconduct? The appropriate response to breaches and problems
>> Good scientific practice: My next steps
 
Dr. Peter Schröder, Düsseldorf, is a biologist and IPMA-certified project manager. After working in the field of biomedical fundamen-tal research and application-oriented development he became self-employed with “brain4hire” in 2011. He has authored numerous scientific publications, has a long-standing experience in teaching science and is an experienced trainer on soft skills.

Monday, 10 February 2025
15:00 - 18:00 
KSQM Coffee & Cake with KIT Alumni Dr. Lukas Grünhaupt : From KIT via the Netherlands to the National Metrology Institute of Germany
t.b.a
Dr. Lukas Grünhaupt, PTB | Physikalisch-Technische Bundesanstalt


KSKM Coffee & Cake Events provide the opportunity for PhD students to interact with distinguished alumni in an informal format and setting; PI’s are not present.
 
Thanks to Prof. Ioan Pop, we are pleased to have Lukas to our upcoming alumni event, where he will share his career insights and advice with KSQM members.
 
About Lukas:
Lukas was raised in a small town north of Karlsruhe, but moved to the 'big' city to study physics. He graduated from KIT with a Master's thesis about 3D transmon qubits in 2016. Afterwards he joined Prof. Dr. Ioan M. Pop's Black Forest Quantum Lab (BFQ) at KIT to continue working on superconducting quantum circuits with a focus on harnessing the kinetic inductance and intrinsic non-linearity of granular aluminum (grAl). In 2019 he defended his PhD thesis about granular aluminum superinductors. Following graduation Lukas joined the lab of Professor Leo P. Kouwenhoven at QuTech (TU Delft, Netherlands) to build on his background in cQED and add the intricacies of semiconductor-superconductor Josephson junctions into the mix. Since 2022 Lukas is part of the quantum electronics department at the Physikalisch-Technische Bundesanstalt (PTB) in Braunschweig and heads the coherent superconducting quantum circuits group since 08/2022.

Friday, 14 March 2025
9:00 - 17:00 
From Awareness to Action – How to Deal with Unconscious Bias
Seminar
t.b.a.
Hanna Woye

“PhD in physics? You don’t seem like a nerd at all.”
“You’re a woman in biology? Guess that helped with getting research funding, huh?
“Mathematics degree? For teaching, right?”
“Environmental science? I guess you’re one of those climate activists then.”
 
 
We’re all familiar with it: being pigeonholed. Sometimes it’s through casual, subtle remarks, other times it’s direct and hurtful, and sometimes it remains unspoken.
We also pigeonhole others ourselves when we interact with them. Since these labels influence our perception and actions, they aren’t just unconscious biases but have real consequences.
Understanding the mechanisms behind these biases and their potential effects helps us, on one hand, to scrutinize our own biases and avoid acting upon them, and on the other hand, to devise strategies for dealing with situations in which we are unfairly pigeonholed.
In this interactive workshop, participants delve deeper into the topic of unconscious bias. The focus lies on hands-on methods that bridge cognitive knowledge about unconscious assumptions with emotional aspects. Furthermore, participants work on strategies to deal with unconscious assumptions with which they themselves are labeled.
 
Thematic Focal Points
Perception: Exploring how we view the world and how stereotypes form.
Personal Perspective: Understanding my background and its impact on my perception of women.
Stereotypes and Prejudices: Examining the functions of prejudices and strategies for managing them.
Discrimination and Power Imbalances: Exploring the connection between unconscious biases and structural inequality.
Managing Biases: Developing personal strategies for adressing gender stereotypes and other biases. ODER Developing personal strategies for dealing with biases.

Friday, 09 May 2025
13:00 - 17:00 
Online Webinar - Data Analysis with Python
Seminar
online
Kevin Leiss & Boyana Boneva , Codeprehensible

Join our comprehensive course designed to help you unlock the potential of data analysis using Python. Start with the basics in Jupyter Notebooks and refresh your knowledge before diving into essential data cleaning techniques, like handling missing values and merging datasets.
 
Discover exploratory data analysis through descriptive statistics and visualizations, and gain confidence in performing statistical analyses such as T-tests, correlation, and linear regression.
 
Learn about the exciting world of big data and parallel computing, all while enjoying hands-on exercises and receiving personalized feedback on your work.
 
Prerequisites: Participants should have basic knowledge of Python

Friday, 16 May 2025
13:00 - 17:00 
Online Webinar - Data Analysis with Python
Seminar
online
Kevin Leiss & Boyana Boneva , Codeprehensible

Join our comprehensive course designed to help you unlock the potential of data analysis using Python. Start with the basics in Jupyter Notebooks and refresh your knowledge before diving into essential data cleaning techniques, like handling missing values and merging datasets.
 
Discover exploratory data analysis through descriptive statistics and visualizations, and gain confidence in performing statistical analyses such as T-tests, correlation, and linear regression.
 
Learn about the exciting world of big data and parallel computing, all while enjoying hands-on exercises and receiving personalized feedback on your work.
 
Prerequisites: Participants should have basic knowledge of Python

Friday, 23 May 2025
13:00 - 17:00 
Online Webinar - Data Analysis with Python
Seminar
online
Kevin Leiss & Boyana Boneva , Codeprehensible

Join our comprehensive course designed to help you unlock the potential of data analysis using Python. Start with the basics in Jupyter Notebooks and refresh your knowledge before diving into essential data cleaning techniques, like handling missing values and merging datasets.
 
Discover exploratory data analysis through descriptive statistics and visualizations, and gain confidence in performing statistical analyses such as T-tests, correlation, and linear regression.
 
Learn about the exciting world of big data and parallel computing, all while enjoying hands-on exercises and receiving personalized feedback on your work.
 
Prerequisites: Participants should have basic knowledge of Python

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