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Upcoming Events

Next-Generation Food Shock Modeling

Aspen, CO, USA

Co-sponsored by the ILSI Research Foundation and organized by the Aspen Global Change Institute, this workshop will facilitate transformational change by bringing together experts from multiple fields to advance next-generation tools and decision support systems that confront current and future challenges to food security and improved nutrition.

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Gene Drive Modeling Conference

Washington, D.C., USA

With support from the USDA NIFA Biotechnology Risk Assessment Research Grants Program, the ILSI Research Foundation is organizing this conference to bring together regulators, risk assessors, modelers, and biologists who understand gene drive technology to discuss the applicability of mathematical models for the environmental risk assessment of gene drive organisms.

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Innovative Foods and Ingredients

Minneapolis, MN, USA

Dr. Morven McLean, ILSI Research Foundation Executive Director, will be participating in the Innovative Foods and Ingredients conference series, organized and convened by the Institute on Science for Global Policy.

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Gene Drive Modeling Conference Seminar Series

AlunLloyd_s

Dr. Alun Lloyd

Department of Mathematics
North Carolina State University

Mathematical models are a widely-used tool to assess the feasibility and effectiveness of gene drives and other related biocontrol approaches. As part of the ILSI Research Foundation's Gene Drive Modeling Conference Seminar Series, this presentation by Dr. Alun Lloyd will cover modeling work that has been carried out for several novel strategies, illustrating the use of a number of different models as the projects move along the path from theoretical proposals, through lab-based studies, to field deployment. Of particular note is the role of both simple and more complicated mathematical models at various stages of this process. Dr. Lloyd will also discuss the benefits and drawbacks of different approaches, together with methods that can be used to quantify uncertainty in model predictions that result from uncertainty in model parameters.

The online seminar is by invitation only.

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Gene drive technology refers to any of a set of similar mechanisms that can be engineered to drive inheritance of an allele through a population through higher transmission from parents to offspring than predicted by Mendelian inheritance. The potential applications of this technology in agriculture are many and include uses for pest, disease, and weed control. Because field-testing of gene drives in the environment is problematic, mathematical modeling of gene drives will be important in understanding their potential environmental impacts. The ILSI Research Foundation organized the Gene Drive Modeling Conference to bring together regulators, risk assessors, modelers, and biologists who understand gene drive technology to discuss the applicability of models for the environmental risk assessment of gene drive organisms, as well as to identify criteria for establishing the quality of information that will be needed to inform future risk assessments of gene drives.

The conference is made possible through a grant from the USDA’s National Institute for Food and Agriculture Biotechnology Risk Assessment Research Grants Program, which provides funding to support the generation of new information that will assist Federal regulatory agencies in making science-based decisions about the effects of introducing genetically engineered organisms into the environment. Therefore, registration is only open to employees of Federal regulatory agencies or by invitation from the ILSI Research Foundation.

Registration

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Gene Drive Modeling Conference Seminar Series

AlunLloyd_s

Dr. Alun Lloyd

Department of Mathematics
North Carolina State University

Mathematical models are a widely-used tool to assess the feasibility and effectiveness of gene drives and other related biocontrol approaches. As part of the ILSI Research Foundation's Gene Drive Modeling Conference Seminar Series, this presentation by Dr. Alun Lloyd will cover modeling work that has been carried out for several novel strategies, illustrating the use of a number of different models as the projects move along the path from theoretical proposals, through lab-based studies, to field deployment. Of particular note is the role of both simple and more complicated mathematical models at various stages of this process. Dr. Lloyd will also discuss the benefits and drawbacks of different approaches, together with methods that can be used to quantify uncertainty in model predictions that result from uncertainty in model parameters.

The online seminar is by invitation only.

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