Join online sessions from the Data Science for Social Good (DSSG) lecture series for free!
Data Science for Social Good (DSSG) is a two month fellowship program of aspiring talents in the area of Data Science to work on projects with a positive societal impact. In the DSSGx Munich 2023 Lecture Series, top researchers and experts share their insight on the application of data science for social good. Parts of this series can be attended online for free.
All open online sessions of the DSSGx Munich 2023 lecture series:
As MCML’s Open Science Transfer Coordinator Moritz Herrmann is committed to making machine learning research more accessible and transparent to everyone. In addition to providing advice and support to individual researchers and projects on key issues such as reproducibility and replicability, his aim is to develop and implement policies and best practices to promote open science and foster collaborations in the scientific community to advance research and application of machine learning in an ethical, transparent, and reproducible manner.
Join sessions from the Data Science for Social Good (DSSG) lecture series for free!
Data Science for Social Good (DSSG) is a two month fellowship program of aspiring talents in the area of Data Science to work on projects with a positive societal impact. In the DSSGx Munich 2023 Lecture Series, top researchers and experts share their insight on the application of data science for social good. Parts of this series can be attended online for free.
All open online sessions of the DSSGx Munich 2023 lecture series:
Hassan Shaukat, who holds a Bachelor’s degree in Electronics Engineering, is a Data Scientist supporting the marketing efforts of the Sonova Group with customer insights and predictive models. Additionally, he works on similar projects such as reallocating marketing expenditures across agencies and channels to maximize revenues. Here, he will provide insights into Data Science for Social Good Berlin. DSSG Berlin aims to leverage data for social impact by connecting nonprofits with volunteer data scientists through events, hackathons, and bespoke projects.
Join online sessions from the Data Science for Social Good (DSSG) lecture series for free!
Data Science for Social Good (DSSG) is a two month fellowship program of aspiring talents in the area of Data Science to work on projects with a positive societal impact. In the DSSGx Munich 2023 Lecture Series, top researchers and experts share their insight on the application of data science for social good. Parts of this series can be attended online for free.
All open online sessions of the DSSGx Munich 2023 lecture series:
Paul Bauer is Research Fellow & Project Director at Mannheim Centre for European Social Research. Since 2015, he has held a doctorate in the field of social sciences from the University of Bern. He primarily researches in the field of political sociology and quantitative methods.
Join online sessions from the Data Science for Social Good (DSSG) lecture series for free!
Data Science for Social Good (DSSG) is a two month fellowship program of aspiring talents in the area of Data Science to work on projects with a positive societal impact. In the DSSGx Munich 2023 Lecture Series, top researchers and experts share their insight on the application of data science for social good. Parts of this series can be attended online for free.
All open online sessions of the DSSGx Munich 2023 lecture series:
Kit Rodolfa is the Research Director at the Regulation, Evaluation, and Governance Lab (RegLab) at Stanford, working at the intersection of machine learning and public policy on using novel computational tools to modernize government and benefit society. His research interests include the bias, fairness, and interpretability of machine learning methods, as well as understanding and filling gaps between the theory and practice of machine learning.
Join exclusive sessions from the Data Science for Social Good (DSSG) lecture series for free!
Data Science for Social Good (DSSG) is a two month fellowship program of aspiring talents in the area of Data Science to work on projects with a positive societal impact. In the DSSGx Munich 2023 Lecture Series, top researchers and experts share their insight on the application of data science for social good. Parts of this series can be attended online for free.
All open online sessions of the DSSGx Munich 2023 lecture series:
Julia Lane is a Professor at the NYU Wagner Graduate School of Public Service. She was a senior advisor in the Office of the Federal CIO at the White House, supporting the implementation of the Federal Data Strategy. She cofounded the Coleridge Initiative, whose goal is to use data to transform the way governments access and use data for the social good through training programs, research projects and a secure data facility.
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