About us
Mission
In a world overwhelmed by information and bias, we dedicate ourselves to meticulously curating the most relevant, accurate, and objective evidence in livestock sciences.
Our research is aimed at addressing the significant questions within food systems, striving to construct a repository filled with trustworthy data. Alongside our partners, we focus on offering actionable insights into livestock production and consumption.
Our ultimate goal is to foster a collaborative effort among all stakeholders, encouraging a unified movement towards a more sustainable global food system.
SubscribeOur team
Peer Ederer
Director and Founder of GOAL Sciences
Prof Ederer is the visionary that inspired the creation of GOAL Sciences. Based on his years of expertise in business, economics, livestock sciences and the food system, he is leading the team and multiple partners into working together towards a sustainable food system.
Prof Ederer studied business administration at Sophia University in Tokyo and at Harvard Business School in Boston. He completed his PhD at the University of Witten Herdecke in Germany. He began his career as financial trader at Deutsche Bank, followed by being a senior consultant at McKinsey & Company. Since 1999 he has been a scientist and an entrepreneur with an emphasis in the global food system.
Olena Nosovets
Elena combines teaching and practical work in the field of mathematical modeling and statistics. She studied Сomputer Science at the National Technical University of Ukraine «Igor Sikorsky Kiev Polytechnic Institute» in Kyiv. Elena received her PhD in Medical and Biological Informatics and Cybernetics. In addition to working with data processing, she improves her knowledge of programming by creating applications in the field of life sciences and agriculture.
Taras Iliushyk
Taras received his master's degree in computer science, specializing in computer technology in Biology and Medicine at National Technical University of Ukraine «Igor Sikorsky Kiev Polytechnic Institute». Since then he has deepened his knowledge of coding in different software languages, with a special emphasis on creating data science applications for processing of big data.
Enrike Maree
Enrike is a researcher and consultant in sustainable agriculture, passionate about educating consumers and producers in their decision making. She holds an MSc Degree in Animal Science from the University of Pretoria, South Africa and is pursuing a Phd (Agric) degree in livestock sustainability. With her strong involvement in the academic sector and experience with farmers in the field, she gathers and curates relevant information on the livestock industry, and works to expand the network and reach of GOALSciences.
Diana Shevaha
Diana is a skilled data analyst with a strong academic background. She earned her master's degree in computer science, specializing in computer technology for biology and medicine, from the National Technical University of Ukraine «Igor Sikorsky Kiev Polytechnic Institute». Additionally, she holds a master's degree in finance, banking, and insurance. Diana launched her career as a machine learning engineer and has since gained extensive experience in the field of data analysis.
Bohdana Kalinovska
Bohdana received her Bachelor's degree in Computer Science and is currently pursuing a Master's degree in the same field at the National Technical University of Ukraine «Igor Sikorsky Kiev Polytechnic Institute» in Kyiv. Her passion for data processing, regression analysis, data forecasting, and data visualization has allowed her to gain a wealth of knowledge and expertise in the field. Bohdana has a strong academic background in programming languages, data structures, algorithms, and software development principles, which helps her to effectively solve any tasks in the industry.
Elna de Lange
Elna is a researcher at GOAL Sciences, with a passion for animal nutrition and a background in animal science and feed manufacturing. With a BSc (Agric) in Animal Science from the University of Pretoria, she began her career as an animal nutritionist in the feed manufacturing industry, where she gained a thorough perspective of the South African animal feed industry. Elna combines her expertise in animal nutrition and her experience in data analysis to bring relevant, accurate, and objective data to the GOAL Sciences. In her personal time, she focuses on improving her horsemanship and living life authentically, inspired by the motto, «Carpe Diem».
Naomi Lupton
Naomi is a graduate of the University of Pretoria in South Africa, having completed both a bachelor’s degree in Animal Science as well as a master’s degree in Production Physiology with a focus on Meat Science and Animal Welfare. During her studies, she aided the Department of Animal Science and Future Africa Experimental Farm as a tutor, research assistant and photographer. She is currently employed as a Junior Researcher at the Global Observatory for Accurate Livestock (GOAL) Sciences and is interested in topics relating to animal -and human nutrition, animal welfare, and sustainable agriculture.
Sofiia Fedorenko
Sofia has a Master's degree in Computer Science, with a focus on Computer Technologies in Biology and Medicine, from the National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute». Since obtaining her degree, she has expanded her expertise in various programming languages, particularly concentrating on developing big data applications within the realm of data science.
Affiliation
GOALSciences is an initiative created and promoted by the Global Food and Agribusiness Network (GFAN), as a science-based service to the global livestock stakeholder community. GFAN is directed by Prof Peer Ederer and is registered as a commercial entity in Switzerland.
Privacy
This site operates under Swiss law and Swiss data protection rights.
Cookies
This site uses cookies. Cookies are small text files that are permanently or temporarily stored in your computer when you visit this website. The purpose of the cookies is in particular the analysis of the use of this website for statistical evaluation as well as for continuous improvements.
In your browser, you can disable all or part of cookies in the settings at any time. When cookies are deactivated, you are no longer able to use all the functions of this website.
Google Analytics
This website uses Google Analytics, a web analytics service provided by Google Inc. (“Google”). Google Analytics uses so-called “cookies”, text files that are stored on your computer and which allow an analysis of the use of the website by you. The information about your use of this website (including your IP address) generated by the cookie is transferred to a Google server in the USA and stored there. Google will use this information to evaluate your use of the website, to compile reports on the website activity for the website operators, and to provide other services connected with the use of the website and the internet. Google may also transfer this information to third parties, provided that this is required by law or if third parties process this data on behalf of Google. Google will in no case associate your IP address with other Google data. You can prevent the installation of cookies by setting your browser software accordingly; However, we would like to point out that in this case you may not be able to fully utilize all the functions of this website. By using this website, you agree to the processing of the data about you by Google in the manner and for the purposes set out above.
Documentation
Additional files:
S I a) FAO Commodity Tree ShareSave original FAO File_24 Feb 2022.csv
S I b) FAO commodity tree parsed and transliterated_24 Feb 2022.csv
S_III_Nutrition_and_Flow_Allocation_Master_Table_23_Dec_2022.xlsx
S IV a) Wirsenius Human Use of Land and Organic materials 2000.pdf
S IV b) Table 3.1 Wirsenius countries and regions.xlsx
S IV c) Table 3.16 Wirsenius harvest by-product production.xlsx
S IV d) Table 3.22 Wirsenius actual vs dry weight.xlsx
S IV e) Table 3.17 Wirsenius harvest by-product recovery.xlsx
S IV f) Table 3.20 Wirsenius harvest by-product recovery allocation to feed.xlsx
S IV g) Table 3.21 Wirsenius Bedding allocation in concise biomass flow balance of the food system.xlsx
S IV h) Table A.1.I Wirsenius carcass composition.xlsx
S IV i) Table Wirsenius 3.23 feed to species allocation.xlsx
S IV j) Table 3.24 Wirsenius feed to region allocation.xlsx
S V a) FAOSTAT Forest Product Production Statistics Data Structure_web.pdf
S V b) Forestry weight to ton ratios DP-49.pdf
S V c) Forestry weight to volume ratios utilized.xlsx
S V d) Soybean production to species allocation USDA vs Wirsenius.xlsx
S VI a) Country_groups_23_December_2022.xlsx