Call for Papers
Workshop on Synthetic Data for Computer Vision (SyntheticData4CV 2024)
https://syntheticdata4cv.wordpress.com/
to be held as part of the 18th European Conference on Computer Vision (ECCV 2024)
WSTEM – workshop women in STEM
July 10th, 2024 
Daniela Lopez de Luise Workshop on Data Analytics in Biomedicine
July 10th, 2024 Daniela Lopez de Luise (held in conjunction with IEEE DDP2024)
Fourth International Conference on Digital Data Processing
Yeshiva University.
New York, US
30 September – 01 October 2024
https://socio.org.uk/ddp/workshop/
CALL FOR PAPERS
The exponential growth of data generated from various textual sources presents both a challenge and a huge opportunity. A key challenge lies in effectively managing and extracting valuable insights from this vast amount of unstructured and heterogeneous data. To address this issue, advanced data analytics techniques, ranging from data and text mining to semantic network analysis and recent advancements in large language models (LLMs), have become indispensable tools for researchers and practitioners.
This is particularly relevant in the realm of biomedicine, where text mining has shown the ability to enable researchers to uncover hidden patterns, trends, and associations that would otherwise remain buried in the vast amount of health-related textual data, for instance, research articles, clinical reports, and electronic health records (EHRs).
On the other hand, semantic network analysis, which focuses on understanding the structure and dynamics of networks formed by entities and their interconnections derived from text mining processes, can facilitate a deeper understanding of the complex interrelationships within biomedical data. By analyzing properties like centrality, modularity, and community structures, researchers can identify key nodes and critical pathways in biological networks, predict disease associations, and explore the functional organization of biological systems.
The integration of text mining, semantic network analysis, and large language models offers a powerful approach to enhancing the ability to generate new hypotheses and insights and supporting the development of more effective diagnostics, treatments, and interventions.
The workshop represents an opportunity to explore the latest advancements in data analytics and text mining in biomedicine. Attendees will gain insights into developing more interpretable models, handling large-scale biomedical datasets, and implementing scalable solutions for real-world healthcare applications.
Moreover, the workshop is highly relevant because it has the potential to significantly improve the safety, effectiveness, and efficiency of biomedical interventions through advanced data analytics.
TOPIC OF INTEREST
We invite submissions on a wide range of topics, including but not limited to:
Novel techniques and measures for assessing textual data quality and handling data integration.
Advanced text mining techniques for biomedical data
Construction and analysis of semantic networks in biomedicine
Case studies on integrated text mining and semantic network analysis
Applications of LLMs in biomedicine
Data analytics in precision medicine
Text-driven approaches to drug discovery
Interpretable or scalable data analytics approaches
Application of Data Analytics and network science in Narrative Medicine
Computational methods for disease modeling and prediction
Ethical considerations in biomedical data analytics
Multimodal biomedical data analytics
Future trends and challenges in biomedical data analytics
PROGRAM
The workshop will take place on (To Be Announced). The program has yet to be made available. The Venue is Yeshiva University, New York.
PAPER SUBMISSION, REGISTRATION AND PUBLICATION
The submissions should follow the IEEE template.
Please refer to socio.org.uk/ddp/paper-submission/
IMPORTANT DATES
Submission of Papers: August 05, 2024
Review and Notification: August 31, 2024
Camera-ready: Sep. 25, 2024
Workshop Date: Oct. 01, 2024
Post-conference proceedings: Nov. 30, 2024
WORKSHOP ORGANIZERS
Chiara Zucco, University Magna Graecia of Catanzaro, Italy
Mario Cannataro, University Magna Graecia of Catanzaro, Italy
Marianna Milano, University Magna Graecia of Catanzaro, Italy
PROGRAM COMMITTEE (TO BE CONFIRMED)
Marzia Settino, University of Calabria, Italy
Mario Cannataro, University Magna Graecia of Catanzaro, Italy
Maria Chiara Martinis, University Magna Graecia of Catanzaro, Italy
Giuseppe Agapito, University Magna Graecia of Catanzaro, Italy
Pietro Cinaglia, University Magna Graecia of Catanzaro, Italy
Ilaria Lazzaro, University Magna Graecia of Catanzaro, Italy
Second edition of the Seeing and Acting Workshop (SAW). University of Coimbra, Portugal, 26-28 September 2024
July 10th, 2024 Daniela Lopez de Luise Just a reminder that the second edition of the Seeing and Acting Workshop (SAW) is approaching fast, and registration and poster submission are still open!
>>PLEASE DON'T FORGET TO REGISTER AND SEND YOUR ABSTRACT!!<<
SAW will take place at the Faculty of Psychology and Educational Sciences of the University of Coimbra, September 26-28, 2024 in Coimbra, Portugal.
For the second edition of SAW, we have, once again, an exciting and stimulating group of Invited Speakers:
· Chris Baker, National Institute of Mental Health, USA
· Paolo Bartolomeo, Paris Brain Institute, France
· Marlene Behrmann, University of Pittsburgh, USA
· Jody Culham, Western University, Canada
· Roland Fleming, Giessen University, Germany
· Liuba Papeo, Institute of Cognitive Sciences Marc Jeannerod, France
· Hans Op de Beeck, KU Leuven, Belgium
The goal of SAW is to provide a forum for cognitive science/neuroscience researchers from a range of perspectives who are interested in Perception and Action, broadly construed, to come together to discuss their research and develop new directions and collaborations. The format of the workshop is intended to encourage extensive discussion among participants. To this end, we have scheduled only a small number of invited speakers, and there are no concurrent talks. In addition to the individual seminars, there will be a poster session for students, postdocs and other researchers to present their work.
Abstract submission for posters closes on July 31, 2024. The five best abstracts whose first author is a student or postdoc will receive a 200 euro award sponsored by ANT Neuro.
Registration for the workshop will be open in a couple of weeks. To register, submit a poster abstract, or for more information, please visit: https://www.uc.pt/cogbooster/saw/2024/
Please note that there are a limited number of places (~120), which will be assigned on a first come, first served basis. To secure your place, please register as soon as possible. Note that you can register now and submit an abstract later (but before the July 31, 2024 deadline).
SAW is powered by the ERA Chair CogBooster, and by the Faculty of Psychology and Educational Sciences of the University of Coimbra, Portugal.
Workshop Organizers:
Jorge Almeida, Alfonso Caramazza, Paul Downing, Mel Goodale, Zoe Kourtzi, Angelika Lingnau, and Isabel Pavão Martins
Online Vocational Training and Internship: Python programing and Hypothesis Testing
July 10th, 2024 Daniela Lopez de Luise Registration: https://internships.utkarshminds.com/
In summary this two months internship has:
- Students will experience advanced data analysis and work on 25 projects
- After completion they can get a internship completion certificate
- They can add in their resume and increase chances of getting a job
- Only a one time fee of Rs. 99 (USD 2/EURO 2)
This internship is designed to equip you with the essential skills and knowledge to become an Applied Python Developer. You will learn how to write efficient Python code, work with data structures, handle file operations, and build real-world applications using Python.
Key Highlights:
- Experience writing efficient Python code
- Master data structures and algorithms in Python
- Build real-world applications with Python
- Write Efficient Python Code
- Experience best practices for writing clean, readable, and efficient Python code
- Data Structures and Algorithms
- Master essential data structures and algorithms in Python for effective problem solving
- Build Real-world Applications
- Apply your Python skills to build practical applications and projects
Regards
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