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Neuroinformatics Assembly 2023 - Program

14:00-14:20 CEST
Welcome!
icon keynoteChair: TBD

Location: Presentation Room 1

  • Welcome and introductions to INCF
14:30-16:00 CEST
Session 1: A FAIR roadmap for knowledge graphs and ontologies
icon keynoteChairs: TBD

Location: Presentation Room 1

16:30-17:30 CEST
Session 2: FAIR sharing, integration, & analysis of neuroscience data
icon keynoteChairs: TBD

Location: Presentation Room 1

17:30-18:00 CEST
BREAK
Parallel sessions
18:00-21:00 CEST

18:00-21:00 CEST

Session 3: Streamlining Cross-Platform Data Integration: Processes and Solutions for Rapidly Developing an Integrated Workflow Across Independent Systems for the US BRAIN Initiative Cell Census
icon keynoteChairs: Bing-Xing Huo, Patrick Ray, Maryann Martone

Location: Presentation Room 1

The workshop will cover topics at ecosystem level such as standardization, governance, and success metrics drawing from experiences in the US BRAIN Initiative Cell Census Network (BICCN) and its next phase, the BRAIN Initiative Cell Atlas Network (BICAN), with a focus on streamlining integrated workflows across independent systems. The challenge in both these projects was to quickly develop an end-to-end system to support the specific requirements of these consortia from systems that were developed independently. Projects like these present the ultimate use cases for FAIR, as FAIR practices should greatly reduce the barrier to integration and increase the usability of the data.

19:00-20:30 CEST

Session 4: “Is this FAIR?”: Transparency in EDI & career development & management
icon keynoteChair: TBD

Location: Presentation Room 2

21:00-21:30 CEST
BREAK
21:30-22:30 CEST
Poster Session 1

Location: Poster Hall

02:00-03:00 CEST
Poster Session 2

Location: Poster Hall

13:00-14:00 CEST
Poster Session 3

Location: Poster Hall

14:00-14:30 CEST
BREAK
14:30-18:30 CEST
Session 5.1: Infrastructure for Sensitive Data
icon keynoteChairs: Petra Ritter

Location: Presentation Room 1

Presentation of the new EBRAINS privacy-compliant and scalable services for brain research to store, share and analyze complex multi-modal FAIR sensitive neuroscience data originating from human subjects: Health Data Cloud (HDC). The workshop provides participants both lecture and hands-on training session.

18:30-19:00 CEST
BREAK
Parallel sessions
19:00-22:00 CEST

19:00-22:00 CEST

Session 5.2: Continuation: Hands on session for Infrastructure for Sensitive Data
icon keynoteChairs: Petra Ritter

Location: Presentation Room 1

Presentation of the new EBRAINS privacy-compliant and scalable services for brain research to store, share and analyze complex multi-modal FAIR sensitive neuroscience data originating from human subjects: Health Data Cloud (HDC). The workshop provides participants both lecture and hands-on training session.

19:00-22:00 CEST

Session 6: Research workflows for collaborative neuroscience
icon keynoteChair: Dimitri Yatsenko

Location: Presentation Room 2

In this workshop, general approaches to workflow management, team organizations, software tools, and online platforms and resources will be reviewed. Across various projects, from neurophysiology to genomics, these workflows are transforming the way that scientists conduct research, opening up new avenues for discovery and innovation.

Parallel sessions
11:30-15:30 CEST

11:30-15:30 CEST

Session 7: Practical guide to overcome the reproducibility crisis in small animal neuroimaging: workflows, tools, and repositories
icon keynoteChairs: Markus Aswendt, Joanes Grandjean

Location: Presentation Room 1

The workshop will include interactive seminars given by selected experts in the field covering all aspects of (FAIR) small animal MRI data acquisition, analysis, and sharing. The seminars will be followed by hands-on training where participants will perform use case scenarios using software established by the organizers. This will include an introduction to the basics of using command line interfaces, Python installation, working with Docker/Singularity containers, Datalad/Git, and BIDS.

11:30-15:30 CEST

Session 8.1 AI for Neurodegenerative Diseases
icon keynoteChair: Mah Parsa

Location: Presentation Room 2

Discussing the ongoing projects for:
- Signal processing for biosignals related to mental disorders and neurodegenerative diseases
- Developing machine learning (ML) and deep learning (DL) based systems in doing early detection of mental disorders and neurodegenerative diseases
- Developing AI approaches adopting the principles of ethics in mental disorders and neurodegenerative diseases
- Developing explainable-AI approaches for prognosis of mental disorders and neurodegenerative diseases
- Developing AI approaches by adapting transfer learning strategies for the diagnose, prognosis and treatment of mental disorders and neurodegenerative diseases

14:00-15:30 CEST

Session 9: FAIR data: The role of journals
icon keynoteChair: Jan Bjaalie

Location: Presentation Room 3

Discussion about how journal policies and recommendations contribute to open and FAIR neuroscience and influence the findability and interoperability of public data.

15:30-16:00 CEST
BREAK
Parallel sessions
16:00-19:00 CEST

16:00-19:00 CEST

Session 10: Event annotation in neuroimaging using HED: from experiment to analysis
icon keynoteChair: Scott Makeig

Location: Presentation Room 1

Workshop on the need for, structure of, tools for, and use of HED annotation to prepare neuroimaging time series data for storing, sharing, and advanced analysis.

16:00-19:00 CEST CEST

Session 8.2 Continuation: AI for Neurodegenerative Diseases
icon keynoteChair: Mah Parsa

Location: Presentation Room 2

Discussing the ongoing projects for:
- Signal processing for biosignals related to mental disorders and neurodegenerative diseases
- Developing machine learning (ML) and deep learning (DL) based systems in doing early detection of mental disorders and neurodegenerative diseases
- Developing AI approaches adopting the principles of ethics in mental disorders and neurodegenerative diseases
- Developing explainable-AI approaches for prognosis of mental disorders and neurodegenerative diseases
- Developing AI approaches by adapting transfer learning strategies for the diagnose, prognosis and treatment of mental disorders and neurodegenerative diseases

16:00-19:00 CEST

Session 11: TBA
icon keynoteChair: TBA

Location: Presentation Room 3

09:00-12:00 CEST
Satellite Session 1.1: Neuroscience data integration through use of digital brain atlases

CREDIT COURSE - Level: PhD, Credits: 2 ECTS

icon keynoteChair: Trygve Leergaard

Location: Zoom

The course will be arranged as a digital Satellite event to the 2023 INCF Neuroinformatics assembly. Read more about the course under the tab Digital Brain Atlasing

12:00-13:00 CEST
BREAK
13:00-16:00 CEST
Satellite Session 1.2: Neuroscience data integration through use of digital brain atlases

CREDIT COURSE - Level: PhD, Credits: 2 ECTS

icon keynoteChair: Trygve Leergaard

Location: Zoom/p>

The course will be arranged as a digital Satellite event to the 2023 INCF Neuroinformatics assembly. Read more about the course under the tab Digital Brain Atlasing

09:00-12:00 CEST
Satellite Session 1.3: Neuroscience data integration through use of digital brain atlases

CREDIT COURSE - Level: PhD, Credits: 2 ECTS

icon keynoteChair: Trygve Leergaard

Location: Zoom

The course will be arranged as a digital Satellite event to the 2023 INCF Neuroinformatics assembly. Read more about the course under the tab Digital Brain Atlasing

12:00-13:00 CEST
BREAK
13:00-16:00 CEST
Satellite Session 1.4: Neuroscience data integration through use of digital brain atlases

CREDIT COURSE - Level: PhD, Credits: 2 ECTS

icon keynoteChair: Trygve Leergaard

Location: Zoom/p>

The course will be arranged as a digital Satellite event to the 2023 INCF Neuroinformatics assembly. Read more about the course under the tab Digital Brain Atlasing