Dr. Daniel Wiegand

Data scientist at DB Systemtechnik GmbH. Implementation of use cases and method development at the DB360 platform.

Team lead data science (condition-based maintenance, BI Data Engineering) at vehicle pool DB Netz AG.

Calculating corporate emission balances Establishing corporate climate strategies Reducing greenhouse gas emissions in companies' supply chains

Berechnung der Treibhausgasbilanz der Universität der Bundeswehr München

Courses "Corporate Responsibility and CSR" and "Business ethics"

Lead developer of DFGE's Climate Strategy Tool CSR data analysis based on machine learning methods Predictive analysis, Natural language processing Calculation of carbon footprints based on GHG protocol CDP, GRI, UNGC, EcoVadis support

Getting to know the department's work in terms of strategic energy plannung, climate protection and climate adaption Visiting conferences dealing with sustainable construction Getting to know the implementation of Germany's energy transition on local scale Insights into instruments and framework of sustainable city planning

Internship at the European Union Representative Office (Communications & Urban Biodiversity Bureau) Preparing events and publications in the field of Urban Biodiversity Assisting the Nature Based Solutions campaign of IUCN

Promotion im Bereich Wirtschaftsethik. Thema: "Soziale Verantwortung von Unternehmen in internationalen Lieferketten - eine diskursethische Begründung". Abschluss mit "summa cum laude"

Wissenschaftliche Behandlung des Themas Klimawandel. Analyse wirtschaftlicher und politischer Zusammenhänge mit dem Ziel, Problemlösungen zu entwickeln, die alle Beteiligten angemessen berücksichtigen. Methodische Ausbildung in Modellierung, Statistik, Labor- und Feldarbeit. Gemeinsamer Abschluss von UCD und JLU Gießen.