Krist V. Gernaey

Professor in industrial fermentation technology at the Department of Chemical and Biochemical Engineering at the Technical University of Denmark (DTU) since 2013. Head of the Process and Systems Engineering Center (PROSYS) since 2014. CEO of Bioscavenge ApS, a startup with focus on resource recovery on industrial process streams, from 2017 to 2021.

Krist V. Gernaey has an MSc (1993) and PhD (1997) degree from Ghent University (Belgium). He has occupied postdoc positions (1998-2005) at Ghent University, École Polytechnique de Montréal (Quebec, Canada), DTU and Lund University (Sweden). Associate professor at DTU Chemical Engineering from 2005 to 2012.

The focus of his research work is the modeling, development and optimisation of industrial fermentation, pharmaceutical and resource recovery processes.

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Wouter Saeys

Wouter Saeys obtained his Master’s degree in Bioscience Engineering: option Agricultural Engineering from KU Leuven, in 2002, for which he was awarded the engineering prize by the Royal Flemish Society of Engineers (KVIV). In 2006, he obtained a PhD in Bioscience Engineering from KU Leuven under the supervision of Professors Herman Ramon and Josse De Baerdemaeker for his research on precision fertilization with animal manure using NIRS for on-line manure composition measurement. As a postdoctoral fellow of the Flemish Research Foundation (FWO-Vlaanderen), he specialised in light transport modelling during a six month stay at the School for Chemical Engineering and Advanced Materials of the University of Newcastle upon Tyne, UK, under the supervision of Dr. Suresh Thennadil, and in Chemometrics during a six month stay at the Norwegian Food Research Institute – Matforsk, Norway, under the supervision of Dr. Tormod Naes. In 2010, he was appointed as assistant research professor at the KU Leuven Department of Biosystems, where he leads the Biophotonics group (www.biophotonics.be) with a focus on applications in the AgroFood chain and is responsible for the Master in Biosystems Engineering. His main research interests include light transport modelling and optical characterisation of biological materials, chemometrics and digital agriculture. In 2013, he was awarded by the European Network of Business and Industrial Statistics (ENBIS) with the ‘Young Statistician Award’ for his work on multivariate calibration of spectroscopic sensors in the agrofood industry. Since 2019, he is professor in the KU Leuven Department of Biosystems and in 2022 he has been rewarded by the Special Research Fund (BOF) with a 3rd term of 5 years as Research Professor. In 2022, he received the Thomas Hirschfeld Award from the International Council of Near Infrared Spectroscopy (ICNIRS). He is member of the editorial boards of the Journal of Near Infrared Spectroscopy and Biosystems Engineering and of the Chairman Advisory Committee and the Education Committee of the International Council of Near Infrared Spectroscopy (ICNIRS).

He has supervised 30 PhDs, is (co-)author of 197 peer reviewed journal articles (ISI), and has an h-index of 43 (ISI).

More information can be found at: http://www.kuleuven.be/wieiswie/en/person/00036292

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Kelly Rijswijk

Kelly Rijswijk is currently a researcher within social innovation at Wageningen Economic Research. Her research interest are in understanding the social and ethical aspects of technology and she has a background in rural development, innovation studies, systems thinking and digital transformation. Taking a Responsible Research and Innovation perspective Kelly aims at understanding the impact of the digital transformation process on individuals, organisations, value chains, and agrifood systems. This involves topics such as organisational change, trust, and in- and exclusion. Key to her work is transdisciplinary research and stakeholder engagement.

Kelly’s PhD research was with the Knowledge, Technology and Innovation Group at Wageningen University in the Netherlands. Prior to that she worked as a scientist for AgResearch in New Zealand. Kelly holds a MSc in development and rural innovation from Wageningen University.

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Marion O’Farrell

Dr. Marion O'Farrell is a research manager in the Smart Sensors & Microsystems department in SINTEF, Norway. She has a PhD from the University of Limerick, Ireland, in applied spectroscopy (2004).

For almost 20 years, Marion has worked with the development of optical measurement systems for industrial applications and was involved in the commericalisation of QVision, the NIR spectral imaging system, with Tomra ASA. She has published over 50 articles and has two patents: “Food Monitoring System”(IE20040383) and "Measurement of properties of organic material" (201580021396).

Marion's research is focussed on optimising measurement system design using a multi-disciplinary approach that is founded in first principles.  She believes that high quality physical data, from robust sensors, can unlock the true potential for digitalisation in industry. Marion is currently leading the strategy process for one of SINTEF Digital's prioritised research area, Sensors.

Marion is a member of the Optical Society of America (OSA). She was a committee member of OSA's Applied Industrial Optics conference from 2012-2018 (general co-chair in 2012 and 2013). In 2019-2020 she was a committee member of OSA's Applied Industrial Spectroscopy conference.

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Dominik Flatten

Dominik works currently as a project manager at NCE Seafood Innovation, a Norwegian cluster based in Bergen and recognized as one of the world’s most complete industry clusters and knowledge hubs in the seafood industry. Dominik holds two MSc degrees in ‘Economics and Business administration’ from the Norwegian School of Economics (NHH), Norway and the University of Mannheim, Germany. He has also five years of diverse experiences within the hospitality industry from Germany, Portugal, England, and Hong Kong (2012 – 2017).

Prior to his current engagement, Dominik has been building up a new ‘Sustainability and GHG Controller’ position at Grieg Seafood and was responsible for the group’s overall climate accounts and ESG reporting for 3 consecutive years (2019 – 2022). During this period, Dominik acquired comprehensive knowledge on different global ESG reporting frameworks, including GHG Protocol, GRI, CDP, ASC, and Coller FAIRR.

In his previous position at Grieg Seafood, he became aware how difficult it is to solve sustainability-related issues at the single company-level only. Therefore, tackling industry challenges through collaboration in joint cluster projects together with major parts of the Norwegian seafood industry, is what Dominik is passionate and excited about.

Dominik likes to break down and present complex matters in a clear and easily comprehensible manner. Benefitting from his previous reporting experiences, he is proud of the new ‘Industry Insight’ report series he has helped to build at NCE Seafood Innovation.

At the Green Data Lab Conference, he will share reflections and learnings from his latest report project on data sharing in the Norwegian aquaculture industry.

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Lars Qviller

Lars Qviller has been working as a researcher in aquaculture epidemiology at the Norwegian Veterinary Institute since 2015. His research interests are in modelling and understanding of pathogen transmission and propagation in Norwegian aquaculture, with specific emphasis on the integration of geographical data. Lars earned his PhD in 2014 in ecology, where he focused on the interactions between red deer and ticks, in the northern forest ecosystems.

At the Norwegian Veterinary Institute, he has primarily worked with spatial disease and parasite transmission models, including models on Infectious Salmon Anemia (ISA), Pancreas Disease (PD) and salmon lice (Lepeophtheirus salmonis). He is listed as an expert in the expert group for the “Traffic Light System”, a system that regulates the intensity of salmonid aquaculture based on the impact of salmon lice from farmed salmonids on wild salmon populations.

We invite abstracts for presentations within the following topics:

Data analysis for sustainability	Opinions about the current trends in data analysis for sustainability, both from a general point of view and, in particular, within food production, agriculture, and aquaculture.
Image recognition of tissue/cell structures	Image recognition as a diagnostic tool in diseased animals/fish tissues. Artificial intelligence for classifying tissue types, tissue status and quantification. Infrared microscopic image analysis of tissue and cell structures.
Data sharing	Good practice and solutions for facilitating efficient data sharing and collaboration. Examples of successful implementation and use of FAIR principles in interdisciplinary projects, for instance in addressing complex sustainability issues. Use of external resources for data sharing.
Spectroscopic sensor data for sustainable food production	Data-driven modelling, monitoring and optimization of food production processes for increased sustainability through better utilization of raw materials, reduced food loss and waste, and improved energy efficiency. Use of in/on/at-line (spectroscopic) sensors for providing food quality and safety measurement. This topic covers process analytical technology, process modelling and control based on spectroscopic data, hyperspectral imaging, and sensor fusion.
Data analysis and data resources in animal health, welfare, and productivity	Improving animal health, welfare, and productivity in livestock and aqua farming.
Bridging the genome to phenome gap for sustainability applications	Statistics, machine learning and artificial intelligence applications bridging the genome of phenome gaps within molecular biology, genomics, transcriptomics, protein folding and beyond.
Digital twins	Status and perspectives of the use of Digital Twins in sustainability issues, for instance within food production, bioprocesses, agriculture, forestry and area planning.
Remote sensing for sustainability in agriculture and forestry	Statistics, machine learning and artificial intelligence for earth observation in agriculture and forestry based on remote sensing data.
Precision farming applications	Data collected by robotics. Computer vision for plant and animal production of the future. Digitalization, data integration, detection and decision support in precision livestock farming (PLF), precision fish farming (PFF), precision crop farming (PCF) and precision forestry.
Digital salmon	Integrating biological understanding and operational data for sustainable value generation, using models across a spectrum from detailed biological mechanism through statistical overviews to machine-learning, pattern recognition and prediction.    Sustainable aquaculture is poised to be a vanguard and early adopter of data science and integrative systems biology. Private companies are accruing operational data and searching for the most relevant sensor and monitoring technologies, applying cutting-edge big data analysis for purposes of operations monitoring, feeding, welfare monitoring and sea louse forecasting. However, it remains challenging to connect and integrate expertise on biology, operations, business and analytics. Key enablers will be common standards for data acquisition and interchange, proper labeling of data and models, and role models for data sharing agreements. This session brings together actors at the cutting edge to share visions and frustrations, common interests and principles to identify better ways forward

The final registration deadline was 5 June 2023.

Terms and conditions

Conference fees

Standard fees – Available between 13 May and 5 June

• Daytime (incl. lunches): 2340 NOK
• Daytime and and Conference Dinner (incl. lunches and dinner on Tuesday): 3240 NOK
• Digital attendance or One day attendance including lunch: 950 NOK
  (When registering for One day attendance, please, specify 'One day attendance-DAY' in the field 'Do you have any food allergies/preferences')

Abstract submission

The submission deadline has now passed.

The Green Data Lab conference will take place in beautiful surroundings at Campus Ås, home to NMBU, Nofima, NIBIO and the Norwegian Veterinary Insititute.

Campus Ås is situated 30 km south of Oslo, and is easily accessible by public transport.

Main conference venue:

Auditorium Gullvepsen (B102), Bikuben

Address: Oluf Thesens vei 35, 1433 Ås

Directions:

• Find Auditorium Gullvepsen on the campus map (Mazemap)
• Directions: How to get to Gullvepsen from Ås train station (Mazemap)

From Ski by bus:

Local bus 510 (bound for Drøbak) departs every 10 minutes during peak hours from "Ski stasjon" (Ski train station) to "Universitetet i Ås". Schedules and tickets: ruter.no

From Oslo by train:

Trains depart twice per hour during peak hours from "Oslo S" (Oslo Central Station) to "Ås stasjon" (Ås train station). Schedules and tickets: ruter.no or vy.no.

From Ås train station, walk for 20 minutes, or get local bus 510 (bound for Drøbak) from nearby bus stop "Ås videregående skole" to "Universitetet i Ås" (a 3 minute bus ride). Schedules and tickets: ruter.no

From Oslo airport by bus:

Aiport express bus FB11 (bound for Fredrikstad) departs once per hour during peak hours from Oslo airport Gardermoen to "Korsegården (Ås)". Schedules and tickets: vy.no.

From Korsegården bus stop, use the footbridge to cross the motorway. Walk for 20 minutes, or get local bus 510 (bound for Ski) from nearby bus stop "Brønnerud skole" to "Universitetet i Ås" (a 3 minute bus ride). Schedules and tickets: ruter.no

From Oslo by car:

Take the E6 towards Gøteborg. Turn left at Korsegården and follow the signs towards Ås, Universitetet. For information about parking, see NMBU's website

Thon Hotel Ski

Thon Hotel Ski, located in the neighbouring town of Ski, is the most convenient accommodation option for conference participants.

Other options

A variety of other accommodation options is available in Oslo, 30 minutes from Ås by train.

• Achim Kohler, REALTEK, NMBU
• Solve Sæbø, KBM, NMBU
• Alex Moltzau, Norwegian Artificial Intelligence Research Consortium
• Kate Alice Furøy, NMBU
• Margarita Smirnova, REALTEK, NMBU
• Stine Lossius, REALTEK, NMBU

• Achim Kohler, REALTEK, NMBU
• Gareth Difford, BIOVIT, NMBU
• Solve Sæbø, KBM, NMBU
• Joachim Scholderer, School of Economics and Business, NMBU
• Jan Vermaat, MINA, NMBU
• Jonathan Rizzi, NIBIO
• Ingrid Måge, Nofima
• Kristin Tøndel, REALTEK, NMBU
• Ann-Katrin Llarena, VET, NMBU
• Haakon Bakka, Norwegian Veterinary Institute
• Alex Moltzau, Norwegian Artificial Intelligence Research Consortium
• Marta Eide, Digital Life Norway

E-mail: greendatalab@nmbu.no

Website: greendatalab.no