[Cyverse.Nappn] Fwd: REMINDER: Webinar 6 DEC: International Discussion on Using Data Science for Plant Genomics and Phenomics

[Carolyn Lawrence-Dill]

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*Webinar Series on European Union and US *

*Big Data Research **Public-Private Partnerships*



WEBINAR #2



*International Discussion on Using Data Science *

*for Plant Genomics and Phenomics*



*Friday, December 6, 2019*

*8:00 – 9:30 AM US Central Time / *

*15:00 – 16:30hr Europe CET*



Confirm the local time in your country, please visit: http://bit.ly/2CHbgLu



*Register for the event here:* http://bit.ly/336C1nc



Location:

·      Online participation: https://zoom.us/j/101827635

·      Onsite: ISU Curtis Hall | 0009 Brenton Center, Iowa State University



*AGENDA*



   - *Welcome:* Dr. Lea SHANLEY, Senior Fellow, Nelson Institute,
   University of Wisconsin Madison
   - *Overview:* Dr. Carolyn LAWRENCE-DILL, Professor, Iowa State
   University Moderator
   - *Introduction - Open and Shared Data for Genomics and Phenomics*: Dr.
   Arne BERRE, Chief Scientist, SINTEF
   - *Image-based Phenotyping:* Dr. Malia GEHAN, Assistant Member and PI,
   Donald Danforth Plant Science Center
   - *Using data science for genomics and phenomics:* Dr. Ephrem
   HABYARIMANA, Chief Scientist and Project Dissemination Manager at CREA
   - *Panel Discussion and Q&A*


Organized by the Midwest Big Data Hub Digital Agriculture Community and the
EU Big Data Value Association, in collaboration with Iowa State University,
University of Wisconsin-Madison, SINTEF, and Intrasoft International.



*Panelists:*



*Lea Shanley *is a Senior Fellow in the Nelson Institute at the University
of Wisconsin Madison. Her research interests focus on the intersection of
open science, technology, policy and law. Previously, Lea served as the
co-Executive Director of the NSF South Big Data Hub, a White House
Presidential Innovation Fellow at NASA (2014-2015), and founding director
of the Commons Lab at the Wilson Center in Washington, DC.



*Arne Berre *is the Chief Scientist at SINTEF Digital, Department for
Software and Service Innovation, Group for Smart Data. Arne is the Leader
of BDVA (Big Data Value Association) TF6 Technical Priorities, GEMINI
Center for Big Data with SINTEF, NTNU and UiO and SINTEF BigLearn on Big
Data and Machine Learning. Arne works with digital platforms and systems
interoperability, with focus on big data and processing support for
Analytics/AI/Machine Learning.



*Carolyn Lawrence-Dill *is a Professor at Iowa State University. Her
research interests have grown from plant biology to genomics to phenomics.
Carolyn served as the Director of the Maize Genetics and Genomics Database
for nearly ten years, was a founding member of the North American Plant
Phenotyping Network, and serves as a co-chair for the Interna­tional Plant
Phenotyping Network. Current research in her lab group focuses on the
analysis of language-based phenotypes for association genetics and novel
candidate gene prediction.



*Melia Gehan *is an Assistant Member and Principal Investigator at the
Donald Danforth Plant Science Center, who focuses on understanding
mechanisms of crop resilience under temperature stress. To study
temperature stress and natural variation, her lab develops high-throughput
and high-resolution image-based phenotyping technologies. She co-developed
and maintains the open-source open-development suite of image analysis
tools, PlantCV (https://plantcv.danforthcenter.org/).


*Ephrem Habyarimana *is a Research Scientist and Chief Scientist at CREA
Research Center for Cereal and Industrial Crops, in Italy, European Union.
He has documented skills, expertise and experience in agricultural
genetics, breeding, genomics, plant biochemistry, agronomy. Crops of
interest: grain and biomass sorghum & other agroindustrial crops for
several purposes (food, feed, & biofuels). He applies genomic prediction
and selection, genome-wide association studies and marker-assisted
selection models in plant breeding. Genomic selection and GWAS modelling
are being implemented in sorghum for genetic improvement of: 1) antioxidant
concentration in grains that can be used to manufacture specialty foods,
and 2) biomass yields for several purposes including fuel, fiber, and other
carbohydrates for industrial uses. He developed and implements big
data-driven modeling in support for crop monitoring with satellite
constellations and Internet of Things (IoT), early within-season yield
prediction and disease detection. He is implementing 5G connectivity to
improve efficiency of big data analytics and the dependability of the
advices to the end user. In 2019, his genomic modelling analytics and
machine learning technologies were classified, respectively, as promising
Deep Tech by the European Commission’s Innovation Radar, and as one of the
best technical advances in the field of Data Science and Artificial
Intelligence by the European Data Science Awards 2019. His academic titles
include but are not limited to Engineer in Agronomy, MS in Crop Science.,
MS in Biotechnology Studies, Master of Advanced Studies in Plant Biology,
PhD Agricultural Genetics, and several other specialized studies. He
trained in Europe, Africa, Asia, North America, and Latin America. He is
fluent in more than five languages
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