All posts by Veronica Haas

EXTENDED Call for Applications: BERD@NFDI Young Scientist Colloquium 2024

BERD@NFDI Young Scientist Colloquium 2024


June 10-11, 2024
Mannheim, Germany

Extended Submission Deadline: May 20th, 2024


Call for Applications


BERD@NFDI is organizing the 1st Colloquium on empirical research using unstructured data that addresses the special needs of doctoral students and postdocs. 

BERD@NFDI is a research data infrastructure dedicated to transforming how Business, Economics, and Related Data are managed. With a special focus on the use of unstructured data in these disciplines, such as images, videos, audio, and text, the goal of BERD@NFDI is to provide a comprehensive suite of services and tools. These will facilitate the searching, collecting, indexing, processing, analyzing, and preserving both data and algorithms, simplifying your data management needs throughout the entire research process. While building such a platform, it is crucial to continuously monitor the state of play in the respective fields, to foster critical discussion and community engagement, and to guide researchers toward employing state-of-the-art methodologies.


Pursuing these goals, the colloquium will be held at Mannheim Business School, Germany, on June 10-11, 2024.


The colloquium provides a unique opportunity for doctoral students, postdocs, and other empirical researchers across business disciplines and beyond to discuss their (dissertation) research with other research fellows and leading academics. We explicitly invite researchers from all disciplines of business, economics, and social sciences (e.g., marketing, information systems, operations research, finance, accounting, management, economics, economic and business history, politics, sociology, psychology) to apply for the conference. The research submitted to this event must involve the analysis of unstructured data.

Submissions should be in the form of a presentation of no more than 8 PowerPoint slides (plus cover slide, text on all slides in Times Roman, and at least 12 font size) that address the following points:


– the description of the research question(s),
– the description of data,
– the analyses conducted or planned,
– the attempted contributions of the research.


Please send your PowerPoint presentation as one PDF file to Lars Gemmer (gemmer@wiso.uni-koeln.de) and use the subject line “BERD@NFDI Young Scientist Colloquium 2024”. All accepted submissions will be presented at the conference.


On the first day of the event, the participants will be introduced to the scope, functionality, and offerings of the BERD@NFDI platform. In addition, faculty, who are renowned experts in working with unstructured data and ML applications, will present recent best-practice approaches to data handling, pre-processing of unstructured data, and further analyzing that data.

On the second day, the event will mostly proceed in three parallel tracks based on the methodological angle of the participants’ work. Doctoral students and postdocs will discuss their work with their fellow students and experienced faculty, gathering detailed feedback on their empirical strategy and questions involving the use of unstructured data. The focus is explicitly on the methodology applied to the research questions. Other aspects of the research such as the attempted contribution, conceptualization, etc. are relevant to understanding the context and may be touched on, but are not the focus of this workshop. Doctoral students and postdocs in all stages of their academic careers are invited to apply for participation in the colloquium.

There is no conference fee. In addition, we are happy to inform you that we were able to secure extra funding that allows us to support young researchers with respect to their travel expenses. Conditional on your submission to the Young Researchers Colloquium, we will reimburse travel expenses up to the amount of EUR 500 for the first 15 submissions (expenses for transportation + hotel). Proof of travel expenses must be provided. We will inform you about the travel support once we receive your submission. You can find our detailed travel expense reimbursement conditions online.


For more information about the colloquium, please visit our website.


We look forward to your submission.


Best regards,


Prof. Florian Stahl (Conference Co-Chair, Mannheim University)
Prof. Hartmut Höhle (Conference Co-Chair, Mannheim University)


Scientific Committee
Dr. Matthias Assenmacher (LMU Munich)
Dr. Lars Gemmer (University of Cologne)
Prof. Marc Fischer (University of Cologne)
Prof. Sibylle Lehmann-Hasemeyer (University of Hohenheim)
Prof. Goeran Kauermann (LMU Munich)

Workshop: Deep Learning with Humans-In-The-Loop: Active Learning for NLP

Workshop Announcement. Registration is now open.

Deep Learning with Humans-In-The-Loop: Active Learning for NLP

With Lukas Rauch

🗓️ July 4th, 2024

🕘 9:00 AM – 4:00 PM

📍 University of Kassel

Overview:

The abundance of text data and the emergence of powerful deep learning models have rapidly advanced Natural Language Processing (NLP). However, tailoring models to specific tasks still demands human-annotated data, which can be time-consuming. Active Learning strategically involves humans in the learning loop, selecting instances for annotation to maximize performance gains. This approach optimizes human effort and enhances the model’s adaptability, making training more efficient.

What to Expect:

In this full-day workshop, participants will delve into the fundamentals of Human-In-The-Loop Learning and (Deep) Active Learning. Through hands-on exercises, attendees will learn to design a (Deep) Active Learning Cycle using Python.

Requirements:

  • Basic proficiency in Python
  • Fundamental knowledge of Machine Learning/Deep Learning
  • Bring your own laptop to fully engage in the workshop activities

About the Instructor:

Lukas Rauch is a researcher within the AI for Computationally Intelligent Systems (AI4CIS) team at the University of Kassel, Germany. His expertise spans (Deep) Active Learning and Optimization.

More information and registration: https://www.berd-nfdi.de/berd-academy/active-learning-2024/

For inquiries, please contact: berd-academy@stat.uni-muenchen.de

Hiring: Service Steward für Datenschutz und Anonymisierung (m/w/d)

The Mannheim University Library is seeking a Service Steward für Datenschutz und Anonymisierung (𝗘 𝟭𝟯 𝗧𝗩-𝗟).

The library coordinates the NFDI consortium BERD@NFDI and is a partner in the 𝗕𝗮𝘀𝗲𝟰𝗡𝗙𝗗𝗜 project. The Base4NFDI project, funded by the DFG, is a collaborative initiative of all consortia within the German National Research Data Infrastructure (NFDI).

As a Service Steward for data protection and anonymization at Base4NFDI, your role involves ensuring compliance and facilitating communication in the development and operation of research data services. This includes supporting NFDI consortia in service development, addressing specific data protection needs, evaluating software tools, and providing legal guidance on personal data handling. You serve as a key liaison between stakeholders, developing guidelines, and offering expertise on privacy matters.

The working languages in the project are 𝗚𝗲𝗿𝗺𝗮𝗻 𝗮𝗻𝗱 𝗘𝗻𝗴𝗹𝗶𝘀𝗵.

For more details, please see the vacancy.

Call for Applications: BERD@NFDI Young Scientist Colloquium 2024

BERD@NFDI Young Scientist Colloquium 2024


June 10-11, 2024
Mannheim, Germany


Extended Submission Deadline: May 20th, 2024


Call for Applications


BERD@NFDI is organizing the 1st Colloquium on empirical research using unstructured data that addresses the special needs of doctoral students and postdocs. 

BERD@NFDI is a research data infrastructure dedicated to transforming how Business, Economics, and Related Data are managed. With a special focus on the use of unstructured data in these disciplines, such as images, videos, audio, and text, the goal of BERD@NFDI is to provide a comprehensive suite of services and tools. These will facilitate the searching, collecting, indexing, processing, analyzing, and preserving both data and algorithms, simplifying your data management needs throughout the entire research process. While building such a platform, it is crucial to continuously monitor the state of play in the respective fields, to foster critical discussion and community engagement, and to guide researchers toward employing state-of-the-art methodologies.


Pursuing these goals, the colloquium will be held at Mannheim Business School, Germany, on June 10-11, 2024.


The colloquium provides a unique opportunity for doctoral students, postdocs, and other empirical researchers across business disciplines and beyond to discuss their (dissertation) research with other research fellows and leading academics. We explicitly invite researchers from all disciplines of business, economics, and social sciences (e.g., marketing, information systems, operations research, finance, accounting, management, economics, economic and business history, politics, sociology, psychology) to apply for the conference. The research submitted to this event must involve the analysis of unstructured data.

Submissions should be in the form of a presentation of no more than 8 PowerPoint slides (plus cover slide, text on all slides in Times Roman, and at least 12 font size) that address the following points:


– the description of the research question(s),
– the description of data,
– the analyses conducted or planned,
– the attempted contributions of the research.


Please send your PowerPoint presentation as one PDF file to Lars Gemmer (gemmer@wiso.uni-koeln.de) and use the subject line “BERD@NFDI Young Scientist Colloquium 2024”. All accepted submissions will be presented at the conference.


On the first day of the event, the participants will be introduced to the scope, functionality, and offerings of the BERD@NFDI platform. In addition, faculty, who are renowned experts in working with unstructured data and ML applications, will present recent best-practice approaches to data handling, pre-processing of unstructured data, and further analyzing that data.

On the second day, the event will mostly proceed in three parallel tracks based on the methodological angle of the participants’ work. Doctoral students and postdocs will discuss their work with their fellow students and experienced faculty, gathering detailed feedback on their empirical strategy and questions involving the use of unstructured data. The focus is explicitly on the methodology applied to the research questions. Other aspects of the research such as the attempted contribution, conceptualization, etc. are relevant to understanding the context and may be touched on, but are not the focus of this workshop. Doctoral students and postdocs in all stages of their academic careers are invited to apply for participation in the colloquium.

There is no conference fee. In addition, we are happy to inform you that we were able to secure extra funding that allows us to support young researchers with respect to their travel expenses. Conditional on your submission to the Young Researchers Colloquium, we will reimburse travel expenses up to the amount of EUR 500 for the first 15 submissions (expenses for transportation + hotel). Proof of travel expenses must be provided. We will inform you about the travel support once we receive your submission. You can find our detailed travel expense reimbursement conditions online.


For more information about the colloquium, please visit our website.


We look forward to your submission.


Best regards,


Prof. Florian Stahl (Conference Co-Chair, Mannheim University)
Prof. Hartmut Höhle (Conference Co-Chair, Mannheim University)


Scientific Committee
Dr. Matthias Assenmacher (LMU Munich)
Dr. Lars Gemmer (University of Cologne)
Prof. Marc Fischer (University of Cologne)
Prof. Sibylle Lehmann-Hasemeyer (University of Hohenheim)
Prof. Goeran Kauermann (LMU Munich)

NFDI-Talk on 𝗜𝗻𝘃𝗲𝗻𝗶𝗼-𝗯𝗮𝘀𝗲𝗱 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗳𝗼𝗿 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁

We are eager to share the NFDI-Talk on “𝗕𝗘𝗥𝗗 – 𝗔𝗻 𝗜𝗻𝘃𝗲𝗻𝗶𝗼-𝗯𝗮𝘀𝗲𝗱 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗳𝗼𝗿 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗶𝗻 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀, 𝗲𝗰𝗼𝗻𝗼𝗺𝗶𝗰𝘀, 𝗮𝗻𝗱 𝗿𝗲𝗹𝗮𝘁𝗲𝗱 𝗳𝗶𝗲𝗹𝗱𝘀” where Prof. Dr. Klaus Tochtermann and Ahmed Saleh discuss how BERD is utilizing Invenio to build the powerful Cloud-based platform.


➡https://www.youtube.com/watch?v=Vw8j3UxYgfg

Nachhaltige Archivierung Sozialer Medien – Twitter und danach

Conference Announcement:

  • Date: March 19th – 20th, 2024
  • Location: Deutsche Nationalbibliothek (Frankfurt am Main)
  • 𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲: March 8th, 2024

Social media platforms, like Twitter, are crucial for interdisciplinary research but face challenges in archiving and access. This conference aims to unite German-speaking institutions and researchers to tackle themes such as integrating research and archiving, addressing data challenges without Twitter, preserving social media, and exploring ethical and legal considerations, including the potential for a Social Media Data Registry.

𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗙𝗲𝗲: €25.00 | Students: €15.00 | Streaming Participation: €5.00

M𝗼𝗿𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗿𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 here.

𝗗𝗮𝘁𝗮𝘀𝗽𝗿𝗶𝗻𝘁: Following the conference, a Datasprint will be held on March 21st – 22nd, 2024, focusing on long-term corpus analysis of German Twitter data.

Job Opportunity: Software Architect and Engineer

Are you passionate about shaping the future of digital scholarly resources?
The 𝗭𝗕𝗪 seeks a 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 𝗮𝗻𝗱 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 to join their team 𝗶𝗻 𝗞𝗶𝗲𝗹 𝗼𝗿 𝗛𝗮𝗺𝗯𝘂𝗿𝗴. You will contribute to research in 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝘀 and play a key role in developing innovative solutions for managing scholarly resources.

This job posting has expired.
Application deadline: 𝗙𝗲𝗯𝗿𝘂𝗮𝗿𝘆 𝟮𝟵𝘁𝗵, 𝟮𝟬𝟮𝟰

Meet the Experts | GESIS online talks | Knowledge technologies for the Social Science: Access to Social Science Data and Services

GESIS presents a diverse array of talks originating from the department “Knowledge Technologies for the Social Sciences.” These sessions delve into the development of research data infrastructures and technologies tailored for the social science community, with a primary focus on leveraging artificial intelligence to enhance accessibility to research data and information.

The exploration commences by delving into the information-seeking behavior and data requirements of social scientists. This foundational understanding serves as the bedrock for crafting suitable search infrastructures and knowledge graphs, ensuring that social science data and information become easily discoverable, accessible, and reusable. Progressing from this groundwork, we illuminate the opportunities and challenges arising from the integration of technological advancements in the social sciences, including the utilization of large language models and innovative data sources gleaned from the vast expanse of the Web

The conclusion of the series features an insightful presentation on the automatic extraction of scientific information from scholarly texts. This groundbreaking process contributes significantly to refining search mechanisms and enhancing comprehension of research information and their interdependencies.

Set up & registration: Each session consists of a talk and a moderated Q&A part. All talks will take place online as zoom-meetings on Thursdays, 1 pm-2 pm (CET/CEST). Please register for the session(s) you are interested in below. Your registration will be confirmed by email.

For more information click here.


15.02.2024 (THU), 13:00-14:00 (CET): Five Ways to Turn your Dataset into Click Bait

Slides |   Presentation on YouTube   |   MTE Playlist

The Lecture will be held in English.

Finding suitable datasets is a difficult task. But why? In this talk, we will look at national and international efforts to increase findability, why they are important and what everyone can do to make their data better findable. This will include concrete advice to game the system and increase your data citation count.

Presenters:

Dr. Brigitte Mathiak


14.03. 2024 (THU), 13:00-14:00 (CET): Searching the Social Sciences with GESIS Search

Registration (via Zoom)   |

Slides |   Presentation on YouTube   |   MTE Playlist

The Lecture will be held in English.

In the social sciences, research data and related information are often distributed on websites, search portals, data archives, and databases. In this talk, we present GESIS Search, which provides a central search entry point to the information space of empirical social science. Users can find national and international research data sets, publications, survey variables, questions from questionnaires, survey instruments, and tools. We will talk about how research information can be found in different categories, how information is linked and can be browsed, and what the future will bring for GESIS Search. This talk addresses researchers and interested parties looking for data and interested in specialized search environments.

Presenters:

Dr. Daniel Hienert


11.04.2024 (THU), 13:00-14:00 (CET): How knowledge graphs can help you to share research data and information

Registration (via Zoom)   |

Slides  |   Presentation on YouTube   |   MTE Playlist

The Lecture will be held in English.

Sharing research data and information has become a crucial demand for reusability, reproducibility, and visibility. The FAIR principles give recommendations on how to improve findability, accessibility, interoperability, and reusability. In this talk, we will present the basic concept of Knowledge Graphs and will show how they can support the sharing of research data and information in a FAIR way.

Presenters:

Dr. Benjamin Zapilko

Debanjali Biswas


16.05.2024 (THU), 13:00-14:00 (CET): Opportunities and challanges of Large Language Models for the social sciences

Registration (via Zoom)   |

Slides  |   Presentation on YouTube   |   MTE Playlist

The Lecture will be held in English.

Abstract will be available soon!

Presenters:

Dr. Dimitar Dimitrov

Dr. Hajira Jabeen


13.06.2024 (THU), 13:00-14:00 (CET): Preserving and Analysing Large-Scale Twitter Data

Registration (via Zoom)   |

Slides  |   Presentation on YouTube   |   MTE Playlist

The Lecture will be held in English.

Preserving data from social media is crucial for many scientific disciplines. Publicly available social media archives facilitate research in the social sciences and provide corpora for training and testing a wide range of machine learning and natural language processing methods. To reduce the reliance on commercial gatekeepers, we decided in 2013 to create a large-scale longitudinal archive of tweets from X (then Twitter) for research purposes. We collected data from the then freely available random sample of 1% of all tweets from Twitter’s streaming API. In this talk, we will introduce TweetsKB – a knowledge base of tweets that has been enriched with named entities and sentiments. We also show how TweetsKB can be used to create topic specific sub-corpora, focusing on important societal events such as the COVID-19 pandemic. Understanding the COVID-19 discourse, its differences to the general Twitter discourse, and interdependencies with real-world events or (mis)information can foster valuable insights.

Presenters:

Dr. Dimitar Dimitrov


11.07.2024 (THU), 13:00-14:00 (CET): Introduction to Scholarly Information Extraction

Registration (via Zoom)   |

Slides  |   Presentation on YouTube   |   MTE Playlist

The Lecture will be held in English.

Scholarly Information Extraction’ involves identifying resources, concepts, actors, and their relationships from scholarly documents and related data sources, such as software repositories. This forms the basis for many use cases, including automated literature reviews and advanced search applications. The talk presents the fundamental concepts and methodologies for scholarly information extraction, followed by a presentation of a scholarly information extraction project from start to finish.Scholarly Information Extraction’ involves identifying resources, concepts, actors, and their relationships from scholarly documents and related data sources, such as software repositories. This forms the basis for many use cases, including automated literature reviews and advanced search applications. The talk presents the fundamental concepts and methodologies for scholarly information extraction, followed by a presentation of a scholarly information extraction project from start to finish.

Presenters:

Wolfgang Otto

Dr. Lu Gan

Dr. Saurav Karmakar

Dr. Philipp Mayr

Hiring: Legal Counsel / Service Steward

𝗝𝗼𝗯 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 at the Mannheim University Library: Legal Counsel / Service Steward

The Mannheim University Library is seeking a Legal Counsel (m/f/d) to fill a temporary full-time 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗦𝘁𝗲𝘄𝗮𝗿𝗱 / 𝗟𝗲𝗴𝗮𝗹 𝗖𝗼𝘂𝗻𝘀𝗲𝗹 (𝗘 𝟭𝟯 𝗧𝗩-𝗟) position.

The library coordinates the NFDI consortium BERD@NFDI and is a partner in the 𝗕𝗮𝘀𝗲𝟰𝗡𝗙𝗗𝗜 project. The Base4NFDI project, funded by the DFG, is a collaborative initiative of all consortia within the German National Research Data Infrastructure (NFDI)

As a Legal Counsel, you will play a key role in shaping Germany’s most ambitious project for providing basic services for research data management, leveraging your legal expertise. You will serve as the central point of contact for legal issues, focusing on data protection and anonymization related to the basic services in Base4NFDI. Your responsibilities include supporting NFDI consortia in all service development phases and acting as a liaison for NFDI working groups, service developers, and the Base4NFDI office. Actively contributing your legal expertise in data protection, you will participate in Base4NFDI and the legal working groups of NFDI.

The working languages in the project are 𝗚𝗲𝗿𝗺𝗮𝗻 𝗮𝗻𝗱 𝗘𝗻𝗴𝗹𝗶𝘀𝗵.

For more details, please see the vacancy.

BERD@NFDI RESEARCH SYMPOSIUM @ | SAVE THE DATE

𝗦𝗮𝘃𝗲 𝘁𝗵𝗲 𝗗𝗮𝘁𝗲 for the 𝗕𝗘𝗥𝗗@𝗡𝗙𝗗𝗜 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗦𝘆𝗺𝗽𝗼𝘀𝗶𝘂𝗺 𝗼𝗻 𝗘𝗺𝗽𝗶𝗿𝗶𝗰𝗮𝗹 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗨𝘀𝗶𝗻𝗴 𝗨𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗗𝗮𝘁𝗮 in June at the University of Mannheim.

Join us on 𝗝𝘂𝗻𝗲 𝟭𝟬-𝟭𝟭, 𝟮𝟬𝟮𝟰, at 𝗠𝗮𝗻𝗻𝗵𝗲𝗶𝗺 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗦𝗰𝗵𝗼𝗼𝗹 for a transformative experience where researchers, doctoral students, and postdocs come together to delve into the influential role of unstructured data in 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀, 𝗲𝗰𝗼𝗻𝗼𝗺𝗶𝗰𝘀, 𝗮𝗻𝗱 𝗿𝗲𝗹𝗮𝘁𝗲𝗱 𝘀𝗼𝗰𝗶𝗮𝗹 𝘀𝗰𝗶𝗲𝗻𝗰𝗲𝘀.

𝗪𝗵𝗮𝘁 𝘁𝗼 𝗘𝘅𝗽𝗲𝗰𝘁:

🔍 𝗟𝗲𝗮𝗿𝗻 𝗳𝗿𝗼𝗺 𝗟𝗲𝗮𝗱𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝘁𝘀:
Connect with pioneers who have harnessed the potential of unstructured data to reshape empirical research. Benefit from their wealth of experience and gain a distinctive perspective on the dynamic developments in the field.

📈 𝗛𝗲𝗮𝗿 𝘁𝗵𝗲 𝗟𝗮𝘁𝗲𝘀𝘁 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀:
Stay on the cutting edge of data analytics by delving into the newest applications in business, economics, and related fields. Witness scholars sharing their groundbreaking work, contributing to future advancements and innovation in our dynamic symposium.

💡 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝗕𝗘𝗥𝗗 𝗖𝗼𝗻𝘀𝗼𝗿𝘁𝗶𝘂𝗺’𝘀 𝗖𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻𝘀:
Unlock the practical benefits of the BERD platform through interactive presentations. Gain insights into effective preprocessing techniques and explore the latest advancements driving empirical research. Witness firsthand how the BERD consortium is shaping the future of data analysis.

– Get inspired by the innovative work of the next generation of scholars as they present their groundbreaking analysis of unstructured data.
– Explore the diverse services offered on the BERD platform through engaging and informative sessions.
– Delve into applied data analytics for the public sector and understand how unstructured data can drive impactful decision-making.
– Participate in stimulating conversations, gaining profound insights into data crawling.

🔗 𝗧𝗼 𝘀𝘁𝗮𝘆 𝘂𝗽𝗱𝗮𝘁𝗲𝗱, 𝘃𝗶𝘀𝗶𝘁 https://berd-indico.uni-mannheim.de/event/16/
📩 Registration will soon be opened.