All posts by Veronica Haas

Are you tired of the complexity and lack of transparency surrounding privacy laws?

Don’t worry, we’ve got your back! Our powerful tool is here to help you navigate through the intricacies of data protection regulations. Discover a new level of clarity and transparency as you navigate the world of data protection.
 
After the successful release of iVA1 and iVA2, we proudly introduce iVA3, the ultimate interactive Virtual Assistant designed to guide you through the examination of whether the processing of personal data within your research project meets federal or state legal requirements.

By asking specific questions, providing short examples, and offering precise definitions, iVA3 guides you through a decision tree tailored to your unique circumstances. It minimizes confusion and streamlines decision-making by providing clear and concise guidance, saving you time and effort.
 
Ready to experience the potential of iVA3 firsthand? Click here and try it out for yourself.

Are you fascinated by the potential of smartphone data to understand human behavior and society? Are you a data service provider or researcher looking to leverage the power of smartphone sensor data for your social research?

The IAB-SMART project has gathered valuable insights by combining in-app survey data with 1.3 million location observations derived from GPS and mobile network data. Now, we are excited to invite you to our three-part webinar series that will guide you through the process of collecting, processing, and utilizing smartphone sensor data for social research.

While attending the entire series is recommended, you are welcome to participate in individual sessions based on your interests and requirements. Here are the details of each webinar session:

📅 IAB-SMART 1: 𝗝𝘂𝗻𝗲 𝟮𝟴, 2023, 12 pm – 1:30 pm CEST
🎙️ 𝗧𝗵𝗲 𝗜𝗔𝗕-𝗦𝗠𝗔𝗥𝗧 𝗦𝘁𝘂𝗱𝘆: 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗻𝗴 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝗮𝗹 𝗦𝗺𝗮𝗿𝘁𝗽𝗵𝗼𝗻𝗲 𝗦𝗲𝗻𝘀𝗼𝗿 𝗗𝗮𝘁𝗮 𝗳𝗼𝗿 𝗦𝗼𝗰𝗶𝗮𝗹 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵
🗣️ Presented by Georg-Christoph Haas
💻 Register here

📅 IAB-SMART 2: 𝗝𝘂𝗹𝘆 𝟬𝟱, 2023, 1 pm CEST – 2 pm CEST
🎙️ 𝗪𝗵𝗮𝘁 𝗱𝗼 𝗴𝗲𝗼𝗹𝗼𝗰𝗮𝘁𝗶𝗼𝗻 𝘀𝗺𝗮𝗿𝘁𝗽𝗵𝗼𝗻𝗲 𝗱𝗮𝘁𝗮 𝗮𝗱𝗱 𝘁𝗼 𝗮 𝘀𝘂𝗿𝘃𝗲𝘆 𝗽𝗮𝗻𝗲𝗹? – 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗶𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿𝘀 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗜𝗔𝗕-𝗦𝗠𝗔𝗥𝗧 𝗣𝗿𝗼𝗷𝗲𝗰𝘁
🗣️ Presented by Florian Zimmermann
💻 Register here

📅 IAB-SMART 3: 𝗝𝘂𝗹𝘆 𝟭𝟮, 2023, 1 pm CEST – 2 pm CEST
🎙️ 𝗛𝗼𝘄 𝘁𝗼 𝘁𝗶𝗱𝘆 𝗮𝗻𝗱 𝗮𝗻𝗼𝗻𝘆𝗺𝗶𝘇𝗲 𝗿𝗮𝘄 𝘀𝗺𝗮𝗿𝘁𝗽𝗵𝗼𝗻𝗲 𝗴𝗲𝗼𝗹𝗼𝗰𝗮𝘁𝗶𝗼𝗻 𝗱𝗮𝘁𝗮: 𝗖𝗼𝗱𝗲 𝗮𝗻𝗱 𝗣𝗿𝗮𝗰𝘁𝗶𝘁𝗶𝗼𝗻𝗲𝗿’𝘀 𝗘𝘅𝗮𝗺𝗽𝗹𝗲𝘀 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗜𝗔𝗕-𝗦𝗠𝗔𝗥𝗧 𝗣𝗿𝗼𝗷𝗲𝗰𝘁
🗣️ Presented by Andreas Filser
💻 Register here

You will learn about the ethical and transparent collection of smartphone data, explore the research potential of geolocation smartphone data, and gain practical insights into tidying and anonymizing raw smartphone geolocation data.

Don’t miss this opportunity to expand your research toolkit and gain comprehensive insights into smartphone sensor data! Register now for the IAB-SMART Webinar Series by visiting the respective links provided above.

Ready for a new chapter of industry-academia collaboration:

Today, 12th May, the Industry Engagement Section commences its activities with a kickoff meeting at DECHEMA in Frankfurt a. M. The meeting marks an inspiring beginning for discussing the strategic direction of the section and paving the way for impactful collaborations between industry and the NFDI consortia, basic services, and sections. Find the section concept here.

The Mannheim University Library is seeking a Project Management Assistant to support our BERD@NFDI team.

Are you interested in working closely with the project managers to ensure the successful delivery of project tasks within scope, schedule, and budget?

Then, please, see the job posting for more information.

The planned InfraTalk by Porf. Dr. Klaus Tochtermann (ZBW) “Commercial Cloud Solutions for non-commercial RDM” announcd for December 5th has to be postponed to a later date.

If you are interested in the field of Teaching & Education, have good communication and organizational skills, then you might be the new student assistant we are looking for!

BERD@NFDI is part of the National Research Data Infrastructure (NFDI) aims to build a powerful platform for the collection, processing, analysis and storage of business and economic data.

The starting date is as soon as possible and working hours are 20-40 per month.

For more information, please refer to the job advertisement:

This job posting has expired.

We look forward to receiving your application!

Best practices and case studies can be submitted on the motto “Empower Your Research – Preserve Your Data” and on the topics: data archiving, reproducability and reuse, data publications and open science, data formats and standards, data law, data protection and data security, qualityt assurance, generic and specific RDM tools and institutional solutions. More informations can be found here.

Important dates: Abstract (500 words) submission deadline: 31.10.2022

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This ReproHack will take place in Mannheim on October 11th and is open for all researchers which are interested in reproducibility and wants to have some hands-on experience. Performed by Anna Krystalli as one of the co-founders of ReproHacks, Joel Nitta and Camille Landesvatter support the event with invited talks.

Aim is to bring researchers together to reproduce publicly available research papers with associated data. The results on reproducibility, transparency and reusability will be discussed and feedback to the authors will be prepared.

Independently of participation, your online available articles/preprints with open data/code can be submitted for ReproHack here (after login/registration).

Further information: Full program and registration

We are very happy to announce the call for papers of the joint workshop of IAB, ifo, and ZEW as well as the associated research data centres IAB-FDZ, EBDC (ifo), and ZEW-FDZ including BERD@NFDI at 24./25. November in Mannheim. The submission deadline of papers and extended abstracts in English and German is the 16th of September 2022.

We look forward to contributions from all areas of empirical economic research with a focus on big data analysis of unstructured data, measurement data and research data that are created by linking administrative and/or survey data using machine learning algorithms. More information can be found here.