D4Dairy: Big Data for healthier cows


Aug 1, 2018

Dairy farming goes digital – and the Hub deals with the data

 

The Hub is going to get into cows now. How come? In June the Austrian Research Promotion Agency FFG–the national funding agency for industrial research and development in Austria–decided to support a project proposal put together by the Austrian Cattle Breeders’ Association (ZAR). The project, with the beautiful acronym “D4Dairy” (“Digitalisation, Data integration, Detection and Decision support in Dairying”) connects dozens of partners from agricultural organizations and farmers through industry and smaller size enterprises down to scientific institutions.

 

“In pilot studies, the ZAR has built up an infrastructure to measure and document all kinds of parameters in dairy farms,” explains Peter Klimek, key researcher for the Big Data analysis of the project. “They gathered huge amounts of data already, including environmental factors in stables, plus all veterinary diagnoses for two million cows or the genome sequences of 50,000 cows in Austria.” One of the industry partners, for instance, provides special sensors to be swallowed by the animals. Once in the rumen, the sensors constantly transmit information like changes in body temperature. This allows farmers or veterinarians to react early to a possibly beginning illness.

 

The stable as a “sensor landscape”

 

Data is where the Hub comes into play. First, data are–and will be–gained from diverse sources in different formats. The lack of communication between the systems does not only give a headache to farmers, who see themselves forced to double or multiple (manual) recording; diverging data sets make data analysis at a large scale difficult, too.

 

“Every company uses its own standards, and sends the data to different servers,” says Olga Saukh, the CSH–TU Graz key researcher for the “Digitalisation, data integration and decision support” part of D4Dairy. “As the systems are not plug’n’play, we have to integrate the data for further use: check for monocompliance, calibrate, structure the data gaining processes.” In addition, Olga will expand future data collection in a meaningful way to cover specific research questions defined by Peter and colleagues. In doing so, punctual measurements will increasingly be replaced by constant data streams.

 

For the well-being of cows – and humans

 

Peter, for his part, is looking forward to a new dimension of medical data analysis: “For humans, such comprehensive datasets are still missing,” he knows – one reason being data security concerns, “a minor problem with animals,” as he smilingly adds.

 

The major output of D4Dairy should be the improvement in the health and well-being of milk cows. From the perspective of complexity science though, Peter wants to come to a better understanding of the interplay between nature and nurture in general. Big Data, says the complexity expert, will help disentangle genetic, environmental and individual factors that contribute to either health or disease in a subject. “With 83 percent of their genes being identical to ours, cows are genetically quite close to humans,” he says. “The methods and prognostic models we are going to develop and test in D4Dairy will be applicable to human data as well.”

 

 

Farming, science, industry

 

The project D4Dairy was submitted by the Austrian Cattle Breeder’s Association ZAR within the framework of COMET (Competence Centers for Excellent Technologies).

 

COMET is an Austrian science program launched in 2006 to foster the cooperation and knowledge transfer between small, medium and large enterprises, universities, Universities of Applied Sciences, competence centers and research institutions.


Press

Wie Übergewicht und Depressionen zusammenhängen


ORF, Jun 5, 2023

Publication

V.D.P. Servedio, M. R. Ferreira, N. Reisz, R. Costas, S. Thurner

Scale-free growth in regional scientific capacity building explains long-term scientific dominance

Chaos, Solitons & Fractals 167 (2023) 113020

News

Jun 7, 2023

One third of patients with diabetes in Austria discontinue treatment

Publication

C. Deischinger, E. Dervic, S. Nopp, M. Kaleta, P. Klimek, A. Kautzky-Willer

Diabetes mellitus is associated with a higher relative risk for venous thromboembolism in females than in males

Diabetes Res Clin Pract. (2022) 36471550

Event

CSH Talk by Liliya Satalkina "Transdisciplinary multistage system modeling: Case of digital entrepreneurship"


Jun 16, 2023 | 15:0016:00

Complexity Science Hub Vienna

Press

End Times by Peter Turchin review – can we predict the collapse of societies?


The Guardian, May 28, 2023

Event

CSH Talk by Juergen Wastl "Dimensions Dashboards: Perspectives, Insights, and more for Institutions "


Jun 14, 2023 | 15:0016:00

Complexity Science Hub Vienna

Publication

A. Nerpel, et al.

SARS-ANI: a global open access dataset of reported SARS-CoV-2 events in animals

Scientific Data 9 (438) (2022)

Press

Wiener Forscher orten Unregelmäßigkeiten bei Erdoğan-Wahl


Der Standard, Jun 2, 2023

Event

CSH Talk by Pablo Astudillo-Estevez "How Production and client networks affect economic diversification in an oil exporting country. A relatedness approaches. "


Jun 09, 2023 | 15:0016:00

Complexity Science Hub Vienna

People

May 30, 2023

Meet Sachin Rawat

News

May 31, 2023

Forensic analysis shows signs of election fraud in Turkey

Press

Wie Übergewicht und Depressionen zusammenhängen


ORF, Jun 5, 2023

Publication

V.D.P. Servedio, M. R. Ferreira, N. Reisz, R. Costas, S. Thurner

Scale-free growth in regional scientific capacity building explains long-term scientific dominance

Chaos, Solitons & Fractals 167 (2023) 113020

News

Jun 7, 2023

One third of patients with diabetes in Austria discontinue treatment

Publication

C. Deischinger, E. Dervic, S. Nopp, M. Kaleta, P. Klimek, A. Kautzky-Willer

Diabetes mellitus is associated with a higher relative risk for venous thromboembolism in females than in males

Diabetes Res Clin Pract. (2022) 36471550

Event

CSH Talk by Liliya Satalkina "Transdisciplinary multistage system modeling: Case of digital entrepreneurship"


Jun 16, 2023 | 15:0016:00

Complexity Science Hub Vienna

Press

End Times by Peter Turchin review – can we predict the collapse of societies?


The Guardian, May 28, 2023

Event

CSH Talk by Juergen Wastl "Dimensions Dashboards: Perspectives, Insights, and more for Institutions "


Jun 14, 2023 | 15:0016:00

Complexity Science Hub Vienna

Publication

A. Nerpel, et al.

SARS-ANI: a global open access dataset of reported SARS-CoV-2 events in animals

Scientific Data 9 (438) (2022)

Press

Wiener Forscher orten Unregelmäßigkeiten bei Erdoğan-Wahl


Der Standard, Jun 2, 2023

Event

CSH Talk by Pablo Astudillo-Estevez "How Production and client networks affect economic diversification in an oil exporting country. A relatedness approaches. "


Jun 09, 2023 | 15:0016:00

Complexity Science Hub Vienna

People

May 30, 2023

Meet Sachin Rawat

News

May 31, 2023

Forensic analysis shows signs of election fraud in Turkey

News

Jun 7, 2023

One third of patients with diabetes in Austria discontinue treatment

News

May 31, 2023

Forensic analysis shows signs of election fraud in Turkey

People

May 30, 2023

Meet Sachin Rawat

Research News

May 30, 2023

Obesity increases risk of mental disorders throughout life

News

May 25, 2023

Quotas alone will not solve the problem

Spotlight

May 17, 2023

Complexity Research for Digital Humanism

People

May 12, 2023

Peter Turchin introduces his new book

Research News

May 2, 2023

Scientists create high-resolution poverty maps using big data

News

Apr 26, 2023

BEYOND COLLECTIVE STUPIDITY

Spotlight

Apr 21, 2023

How does a region become a center for innovation?

Spotlight

Apr 14, 2023

Are cars our kings?

Press

Wie Übergewicht und Depressionen zusammenhängen


ORF, Jun 5, 2023

Press

Wiener Forscher orten Unregelmäßigkeiten bei Erdoğan-Wahl


Der Standard, Jun 2, 2023

Press

End Times by Peter Turchin review – can we predict the collapse of societies?


The Guardian, May 28, 2023

Press

Obesity increases the chances of developing mental disorders for all age groups


News Medical, May 30, 2023

Press

Wie Medikamente durch die Welt reisen


NEWS, May 31, 2023

Press

Kritik an EU-Chatkontrolle


Ö1 | Digital.leben, May 11, 2023

Press

Treibjagd im Darknet: Neue Technologien für Cyber-Ermittler


Salzburger Nachrichten, May 16, 2023

Press

„Die Älteren halten zu Erdogan, die jüngere Generation hat andere Sorgen“


Cicero, May 9, 2023

Press

Stablecoin Destabilization - why should we care?


Forbes, Apr 27, 2023

Press

„Wir sind nicht so einfach zu manipulieren“ [feat. Hannah Metzler]


Kurier, Apr 29, 2023

Publication

R. Prieto-Curiel, J. E. Patino, B. Anderson

Scaling of the morphology of African cities

PNAS 120 (9) (2023) e2214254120

Publication

A. Di Natale, D. Garcia

LEXpander: applying colexification networks to automated lexicon expansion

Behaviour Research Methods (2023)

Publication

V.D.P. Servedio, M. R. Ferreira, N. Reisz, R. Costas, S. Thurner

Scale-free growth in regional scientific capacity building explains long-term scientific dominance

Chaos, Solitons & Fractals 167 (2023) 113020

Publication

C. Deischinger, E. Dervic, S. Nopp, M. Kaleta, P. Klimek, A. Kautzky-Willer

Diabetes mellitus is associated with a higher relative risk for venous thromboembolism in females than in males

Diabetes Res Clin Pract. (2022) 36471550

Publication

A. Nerpel, et al.

SARS-ANI: a global open access dataset of reported SARS-CoV-2 events in animals

Scientific Data 9 (438) (2022)

Publication

E. D. Lee, X. Chen, B. C. Daniels

Discovering sparse control strategies in neural activity

PLoS Computational Biology (May 27) (2022)

Publication

H. Kong, S. Martin-Gutierrez, F. Karimi

Influence of the first-mover advantage on the gender disparities in physics citations

Communications Physics 5 (243) (2022)

Publication

T.M. Pham, J. Korbel, R. Hanel, S. Thurner

Empirical social triad statistics can be explained with dyadic homophylic interactions

PNAS 119 (2022) e2121103119

Publication

G. De Marzo, V.D.P. Servedio

Quantifying the complexity and similarity of chess openings using online chess community data

Scientific Reports 13 (2023) 5327

Publication

D. R. Lo Sardo, S. Thurner, et al.

Systematic population-wide ecological analysis of regional variability in disease prevalence

Heliyon 9(4) (2023) e15377

Publication

J. Wachs

Digital traces of brain drain: developers during the Russian invasion of Ukraine

EPJ Data Science 12 (2023) 14

Publication

D. Diodato, R. Hausmann, F. Neffke

The impact of return migration on employment and wages in Mexican cities

Journal of Urban Economics 135 (2023) 103557

Event

CSH Talk by Pablo Astudillo-Estevez "How Production and client networks affect economic diversification in an oil exporting country. A relatedness approaches. "


Jun 09, 2023 | 15:0016:00

Complexity Science Hub Vienna

Event

CSH Talk by Juergen Wastl "Dimensions Dashboards: Perspectives, Insights, and more for Institutions "


Jun 14, 2023 | 15:0016:00

Complexity Science Hub Vienna

Event

CSH Talk by Liliya Satalkina "Transdisciplinary multistage system modeling: Case of digital entrepreneurship"


Jun 16, 2023 | 15:0016:00

Complexity Science Hub Vienna

Event

CSH Talk by Ricardo-Baeza Yates "Responsible AI"


Jun 20, 2023 | 15:0016:00

Complexity Science Hub Vienna