Humboldt-Universität zu Berlin - Wirtschaftswissenschaftliche Fakultät

Am 8. Oktober findet der erste Teil des Workshops als Online-Input statt. Darauf aufbauend wird der Workshop am 21. und 22. Oktober (1,5-tägig) im Rahmen des Autumn Retreats des Graduiertenzentrums fortgesetzt. Teilnahme an nur einem der beiden Termine ist möglich, aber die Teilnahme an beiden Terminen wünschenswert.

Wir bitten um Anmeldung an promotion.wiwi@hu-berlin.de.

Trainer: Prof. Dr. Tobias Schmohl

Workshopsprache: Englisch

Workshopbeschreibung:

This intensive course, spanning 1.5 days, provides an introduction to the principles and interdisciplinary aspects of good scientific practice. Instances of typical intentional and unintentional scientific misconduct are covered. The participants will gain practical knowledge on the honest processing and documentation of research results, in addition to discussing central guidelines and recommendations for scientific work conducted in accordance with the "lege artis" principle. The course aims to discuss case studies derived from scientific practice. It will include a critical analysis and evaluation of the pertinent legal, scientific-ethical, and procedural elements. The analysis will be based on relevant international reference texts and codes of conduct, such as the institutional guideline for safeguarding good scientific practice at HU Berlin, the Global Research Council, and the European Code of Conduct for Research Integrity. The objective is to formulate interdisciplinary protocols that provide significant support for the promotion of good scientific conduct and to effectively address instances of plagiarism and questionable research practices. Additional areas of emphasis include collaboration within team settings and the protection and retention of original data.

Inhalt:

• Principles and frameworks of good scientific practice
• Scientific quality standards and research guidelines
• Fundamentals and general principles of scientific work
• Relevance of the principles for the use of artificial intelligence; potential problems, and areas of conflict
• Avoidance of misconduct in science, such as false statements, infringement of intellectual property,
  dishonest handling of data
• Standards of scientific ethics and practical scientific procedures
• Academic consequences of scientific misconduct at university and non-university level (e.g. sanction options of faculties, scientific institutions, scientific journals and publishers (for publications), funding agencies and scientific organisations, professional organisations, ministries as well as funding agencies, scientific organisations and ministries) Analysis of case studies
• Evaluation of codes of conduct and recommendations of national and international reference texts of good scientific practice

Lernziele:

The aim of this workshop is for participants to be able to:

• Identify and formulate generally applicable principles of scientific goodness criteria at different stages of the production of research papers, which can be specified for individual disciplines as needed,
• to recognise scientific misconduct based on scientific, ethical values and to actively avoid it in their work,
• to realise and effectively design references to action and practice in their respective research fields based
  on the DFG guidelines for good scientific practice
• critically reflect on conflicting goals in the planning and implementation of their research projects and
  independently develop strategies for honest scientific work,
• to determine criteria for performance assessment concerning academic work supervised by the
  participants and to develop criteria for the quality of reviews.

Methoden:

The proposed in-house workshop will incorporate a variety of instructional methods, including

• small group collaboration, analysis of scientific case studies,
• constructive feedback from peers,
• large group discussions,
• and a dilemma game where participants can adopt various perspectives.

Interactive presentation materials will be used alongside a web-based live voting system.