PARC is organising the Hackathon for Bioinformatics\, a fou r-day hybrid training event focused on the application of artificial intel ligence and computational modelling approaches to toxicology and chemical risk assessment. The Hackathon will take place from 7 to 10 September 2026 \, with the possibility to participate remotely or in person in Tarragona\ , Spain. The event is organised into four parallel sessions\, each dedicat ed to a specific application of AI and computational approaches. Participa nts will select one session and work on it throughout the Hackathon\, comb ining practical activities with guidance from experts in the field\, under the scientific coordination of Vikas Kumar (IISPV and BfR)\, Philip Marx- Stoelting (BfR)\, \;Giles Rivière (ANSES) and Denis Sarigiannis (AUT H). \;
What to expect:
Participants can choose one of f our parallel sessions:
Who should attend:
The Hackathon is intended for Master's students\, PhD st udents\, and junior researchers interested in applying bioinformatics\, AI \, and computational modelling approaches to toxicology and chemical risk assessment. Participants should have knowledge of R or Python\, together w ith basic knowledge relevant to their selected session\, such as LLMs\, ag entic AI\, ontology\, QSAR\, or PBPK modelling.
Practical details:
Participation is free of charge\, but attendees are responsible f or covering their own travel\, accommodation\, and other expenses.
How to apply:
Submit your application here ↗ by 7 September.
For additional information about the Hackathon and the application pro cess\, please click here.
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260903T085811Z END:VEVENT BEGIN:VEVENT UID:6a9936a3b3c32 DTSTART;VALUE=DATE:20260908 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20260909 SUMMARY:Hackathon for Bioinformatics CLASS:PUBLIC DESCRIPTION:PARC is organising the Hackathon for Bioinformatics\, a four-da y hybrid training event focused on the application of artificial intellige nce and computational modelling approaches to toxicology and chemical risk assessment. The Hackathon will take place from 7 to 10 September 2026\, w ith the possibility to participate remotely or in person in Tarragona\, Sp ain. The event is organised into four parallel sessions\, each dedicated t o a specific application of AI and computational approaches. Participants will select one session and work on it throughout the Hackathon\, combinin g practical activities with guidance from experts in the field\, under the scientific coordination of Vikas Kumar (IISPV and BfR)\, Philip Marx-Stoe lting (BfR)\, \;Giles Rivière (ANSES) and Denis Sarigiannis (AUTH).& nbsp\;What to expect:Participants can choose one of four parallel sessions :LLM-Assisted FAIR PBPK Model Building: exploring how Large Language Model s (LLMs) can support the transformation of PBPK model descriptions into FA IR-compliant\, standardised\, and well-annotated formats\, contributing to greater reproducibility in PBPK modelling. \;Weight of Evidence Asses sment for AOP Using Agentic AI: developing an AI-assisted approach to evid ence retrieval\, evaluation\, and structured scoring to improve the transp arency and reproducibility of Weight of Evidence assessments for Adverse O utcome Pathways (AOPs). \;Extending AOP Ontology with Evidence Curatio n: exploring how AOP Ontology can be extended with structured information on evidence provenance\, study design\, and evidence type to improve evide nce-level queries and computational reasoning. \;AI-driven QSAR-to-PBP K Pipeline: developing a workflow combining QSAR predictions with AI-assis ted database and literature searches to address missing chemical-specific parameters and support more scalable and consistent PBPK model development .Who should attend:The Hackathon is intended for Master's students\, PhD s tudents\, and junior researchers interested in applying bioinformatics\, A I\, and computational modelling approaches to toxicology and chemical risk assessment. Participants should have knowledge of R or Python\, together with basic knowledge relevant to their selected session\, such as LLMs\, a gentic AI\, ontology\, QSAR\, or PBPK modelling.Practical details:Particip ation is free of charge\, but attendees are responsible for covering their own travel\, accommodation\, and other expenses.How to apply:Submit your application here ↗ by 7 September.For additional information about the H ackathon and the application process\, please click here. X-ALT-DESC;FMTTYPE=text/html:PARC is organising the Hackathon for Bioinformatics\, a fou r-day hybrid training event focused on the application of artificial intel ligence and computational modelling approaches to toxicology and chemical risk assessment. The Hackathon will take place from 7 to 10 September 2026 \, with the possibility to participate remotely or in person in Tarragona\ , Spain. The event is organised into four parallel sessions\, each dedicat ed to a specific application of AI and computational approaches. Participa nts will select one session and work on it throughout the Hackathon\, comb ining practical activities with guidance from experts in the field\, under the scientific coordination of Vikas Kumar (IISPV and BfR)\, Philip Marx- Stoelting (BfR)\, \;Giles Rivière (ANSES) and Denis Sarigiannis (AUT H). \;
What to expect:
Participants can choose one of f our parallel sessions:
Who should attend:
The Hackathon is intended for Master's students\, PhD st udents\, and junior researchers interested in applying bioinformatics\, AI \, and computational modelling approaches to toxicology and chemical risk assessment. Participants should have knowledge of R or Python\, together w ith basic knowledge relevant to their selected session\, such as LLMs\, ag entic AI\, ontology\, QSAR\, or PBPK modelling.
Practical details:
Participation is free of charge\, but attendees are responsible f or covering their own travel\, accommodation\, and other expenses.
How to apply:
Submit your application here ↗ by 7 September.
For additional information about the Hackathon and the application pro cess\, please click here.
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260903T085811Z END:VEVENT BEGIN:VEVENT UID:6a9936a3b3c45 DTSTART;VALUE=DATE:20260909 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20260910 SUMMARY:Hackathon for Bioinformatics CLASS:PUBLIC DESCRIPTION:PARC is organising the Hackathon for Bioinformatics\, a four-da y hybrid training event focused on the application of artificial intellige nce and computational modelling approaches to toxicology and chemical risk assessment. The Hackathon will take place from 7 to 10 September 2026\, w ith the possibility to participate remotely or in person in Tarragona\, Sp ain. The event is organised into four parallel sessions\, each dedicated t o a specific application of AI and computational approaches. Participants will select one session and work on it throughout the Hackathon\, combinin g practical activities with guidance from experts in the field\, under the scientific coordination of Vikas Kumar (IISPV and BfR)\, Philip Marx-Stoe lting (BfR)\, \;Giles Rivière (ANSES) and Denis Sarigiannis (AUTH).& nbsp\;What to expect:Participants can choose one of four parallel sessions :LLM-Assisted FAIR PBPK Model Building: exploring how Large Language Model s (LLMs) can support the transformation of PBPK model descriptions into FA IR-compliant\, standardised\, and well-annotated formats\, contributing to greater reproducibility in PBPK modelling. \;Weight of Evidence Asses sment for AOP Using Agentic AI: developing an AI-assisted approach to evid ence retrieval\, evaluation\, and structured scoring to improve the transp arency and reproducibility of Weight of Evidence assessments for Adverse O utcome Pathways (AOPs). \;Extending AOP Ontology with Evidence Curatio n: exploring how AOP Ontology can be extended with structured information on evidence provenance\, study design\, and evidence type to improve evide nce-level queries and computational reasoning. \;AI-driven QSAR-to-PBP K Pipeline: developing a workflow combining QSAR predictions with AI-assis ted database and literature searches to address missing chemical-specific parameters and support more scalable and consistent PBPK model development .Who should attend:The Hackathon is intended for Master's students\, PhD s tudents\, and junior researchers interested in applying bioinformatics\, A I\, and computational modelling approaches to toxicology and chemical risk assessment. Participants should have knowledge of R or Python\, together with basic knowledge relevant to their selected session\, such as LLMs\, a gentic AI\, ontology\, QSAR\, or PBPK modelling.Practical details:Particip ation is free of charge\, but attendees are responsible for covering their own travel\, accommodation\, and other expenses.How to apply:Submit your application here ↗ by 7 September.For additional information about the H ackathon and the application process\, please click here. X-ALT-DESC;FMTTYPE=text/html:PARC is organising the Hackathon for Bioinformatics\, a fou r-day hybrid training event focused on the application of artificial intel ligence and computational modelling approaches to toxicology and chemical risk assessment. The Hackathon will take place from 7 to 10 September 2026 \, with the possibility to participate remotely or in person in Tarragona\ , Spain. The event is organised into four parallel sessions\, each dedicat ed to a specific application of AI and computational approaches. Participa nts will select one session and work on it throughout the Hackathon\, comb ining practical activities with guidance from experts in the field\, under the scientific coordination of Vikas Kumar (IISPV and BfR)\, Philip Marx- Stoelting (BfR)\, \;Giles Rivière (ANSES) and Denis Sarigiannis (AUT H). \;
What to expect:
Participants can choose one of f our parallel sessions:
Who should attend:
The Hackathon is intended for Master's students\, PhD st udents\, and junior researchers interested in applying bioinformatics\, AI \, and computational modelling approaches to toxicology and chemical risk assessment. Participants should have knowledge of R or Python\, together w ith basic knowledge relevant to their selected session\, such as LLMs\, ag entic AI\, ontology\, QSAR\, or PBPK modelling.
Practical details:
Participation is free of charge\, but attendees are responsible f or covering their own travel\, accommodation\, and other expenses.
How to apply:
Submit your application here ↗ by 7 September.
For additional information about the Hackathon and the application pro cess\, please click here.
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260903T085811Z END:VEVENT BEGIN:VEVENT UID:6a9936a3b3c55 DTSTART;VALUE=DATE:20260910 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20260911 SUMMARY:Hackathon for Bioinformatics CLASS:PUBLIC DESCRIPTION:PARC is organising the Hackathon for Bioinformatics\, a four-da y hybrid training event focused on the application of artificial intellige nce and computational modelling approaches to toxicology and chemical risk assessment. The Hackathon will take place from 7 to 10 September 2026\, w ith the possibility to participate remotely or in person in Tarragona\, Sp ain. The event is organised into four parallel sessions\, each dedicated t o a specific application of AI and computational approaches. Participants will select one session and work on it throughout the Hackathon\, combinin g practical activities with guidance from experts in the field\, under the scientific coordination of Vikas Kumar (IISPV and BfR)\, Philip Marx-Stoe lting (BfR)\, \;Giles Rivière (ANSES) and Denis Sarigiannis (AUTH).& nbsp\;What to expect:Participants can choose one of four parallel sessions :LLM-Assisted FAIR PBPK Model Building: exploring how Large Language Model s (LLMs) can support the transformation of PBPK model descriptions into FA IR-compliant\, standardised\, and well-annotated formats\, contributing to greater reproducibility in PBPK modelling. \;Weight of Evidence Asses sment for AOP Using Agentic AI: developing an AI-assisted approach to evid ence retrieval\, evaluation\, and structured scoring to improve the transp arency and reproducibility of Weight of Evidence assessments for Adverse O utcome Pathways (AOPs). \;Extending AOP Ontology with Evidence Curatio n: exploring how AOP Ontology can be extended with structured information on evidence provenance\, study design\, and evidence type to improve evide nce-level queries and computational reasoning. \;AI-driven QSAR-to-PBP K Pipeline: developing a workflow combining QSAR predictions with AI-assis ted database and literature searches to address missing chemical-specific parameters and support more scalable and consistent PBPK model development .Who should attend:The Hackathon is intended for Master's students\, PhD s tudents\, and junior researchers interested in applying bioinformatics\, A I\, and computational modelling approaches to toxicology and chemical risk assessment. Participants should have knowledge of R or Python\, together with basic knowledge relevant to their selected session\, such as LLMs\, a gentic AI\, ontology\, QSAR\, or PBPK modelling.Practical details:Particip ation is free of charge\, but attendees are responsible for covering their own travel\, accommodation\, and other expenses.How to apply:Submit your application here ↗ by 7 September.For additional information about the H ackathon and the application process\, please click here. X-ALT-DESC;FMTTYPE=text/html:PARC is organising the Hackathon for Bioinformatics\, a fou r-day hybrid training event focused on the application of artificial intel ligence and computational modelling approaches to toxicology and chemical risk assessment. The Hackathon will take place from 7 to 10 September 2026 \, with the possibility to participate remotely or in person in Tarragona\ , Spain. The event is organised into four parallel sessions\, each dedicat ed to a specific application of AI and computational approaches. Participa nts will select one session and work on it throughout the Hackathon\, comb ining practical activities with guidance from experts in the field\, under the scientific coordination of Vikas Kumar (IISPV and BfR)\, Philip Marx- Stoelting (BfR)\, \;Giles Rivière (ANSES) and Denis Sarigiannis (AUT H). \;
What to expect:
Participants can choose one of f our parallel sessions:
Who should attend:
The Hackathon is intended for Master's students\, PhD st udents\, and junior researchers interested in applying bioinformatics\, AI \, and computational modelling approaches to toxicology and chemical risk assessment. Participants should have knowledge of R or Python\, together w ith basic knowledge relevant to their selected session\, such as LLMs\, ag entic AI\, ontology\, QSAR\, or PBPK modelling.
Practical details:
Participation is free of charge\, but attendees are responsible f or covering their own travel\, accommodation\, and other expenses.
How to apply:
Submit your application here ↗ by 7 September.
For additional information about the Hackathon and the application pro cess\, please click here.
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260903T085811Z END:VEVENT END:VCALENDAR