University of Hohenheim

So far, biodiversity and agricultural productivity could not be reconciled because the socio-ecological system of agriculture is highly complex, and the interactions between humans and the environment are difficult to capture using conventional methods. A research team now shows a promising way to achieve both goals at the same time. They focus on further developing artificial intelligence in combination with collective human judgement: hybrid intelligence. Preserving biodiversity without reducing agricultural productivity: So far, these two goals could not be reconciled because the socio-ecological system of agriculture is highly complex, and the interactions between humans and the environment are difficult to capture using conventional methods. Thanks to new technology, a research team at the Technical University of Munich and the University of Hohenheim shows a promising way to achieve both goals at the same time. The members of the team focus on further developing artificial intelligence in combination with collective human judegment: the use of hybrid intelligence. "Although we have more and more data sets at our disposal, we have not yet been able to use them to solve the problem. Available data from remote sensing, proximal sensing and statistical surveys are disconnected and highly fragmented," said Prof. Thomas Berger, agricultural economist at the University of Hohenheim and lead author of the publication. "Another challenge is the different planning horizon: Agricultural practices are based on short- and medium-term economic objectives at the field and farm level, that is, on a scale of 1 hectare to 100 hectares. The long-term ecological effects, on the other hand, are evident at the landscape level of 100,000 hectares." From an ecological point of view, it is therefore necessary to look at the landscape level and better understand the interactions of many farms in terms of space and time. "There is little cross-farm coordination for agri-environmental measures," stated Prof. Senthold Asseng from the Chair of Digital Agriculture at the Technical University of Munich. Previous funding programs in agricultural and environmental policy were not designed to enable biodiversity-friendly synergies among farmers, between farmers and other stakeholders, and in science. The problem is also very challenging from a social science perspective, according to Prof. Claudia Bieling from the Hohenheim Department of Societal Transition and Agriculture: "This is the classic situation of a social dilemma. Why should individual stakeholders forgo productivity on their own initiative when the common public good of biodiversity conservation benefits many other stakeholders free of charge?" There are also similar situations that block progress in other economic sectors, e.g., in recycling and waste management as well as in energy and transport. In order to capture the complexity of the problem and develop new intelligent solutions, joint expertise from the natural and social sciences, engineering, and computer science is required, as well as close cooperation between science and practice. Technological progress enables new interaction between humans and machines A 13-person team with precisely this expertise joined forces to develop a transdisciplinary approach -- exploiting the new possibilities offered by artificial intelligence in merging and processing large volumes of data. The authors of the publication refer to this combination as "hybrid intelligence." "By combining the intuitive abilities of humans with the computing power of modern computers and the analytical capabilities of artificial intelligence, for the first time we can develop human-machine systems that successfully address complexity in agriculture," said Prof. Berger. One component of such systems are computer models with what the team refers to as "multi-agent technology" for the various ecological, social, and economic processes. By enriching these models with artificial intelligence, the research team aims to create a detailed, interactive image of reality in which various biodiversity measures and effects can be simulated and stakeholders can be supported in joint decision-making. Group payments as a practical example of hybrid intelligence The authors explain practical implementations in several applied examples, e.g., compensation payments to groups of farmers instead of individual farms. "The EU provides various subsidies for species protection measures, for example by giving farmers money to set up flower strips," stated Prof. Asseng. "Up to now, farmers have planted the flower strips on their own and without coordinating with their neighbors. Overall, the flower strips are fragmented and have limited effectiveness." Group payment programs for farmers who coordinate their flower strips at the landscape level with the use of hybrid intelligence are more promising. In a first step, hybrid intelligence could analyze complex data on soil conditions, local biodiversity, and similar factors and thus identify the locations where cross-farm environmental measures would be particularly effective and crop losses as lowest as possible. In a second step, AI systems could provide communication platforms that facilitate exchanging information and planning joint projects without excessive bureaucracy. "Another goal would be a fair balance among all parties involved, for example, through new auction mechanisms for subsidies," said Prof. Berger. The virtual image of their economic and ecological environment would give actors from agriculture, consulting, and politics the opportunity to try out the measures before deciding whether to implement them. "This would make it easier to assess the impact on biodiversity and crop yields and minimize the costs for everyone involved," added Prof. Bieling. Above all, AI could serve as an automated moderator that follows the discussions within the group and improves decision-making by contributing information or alternative perspectives. "We can currently see the capabilities of generative AI in language processing and generating new content with ChatGPT. This can be particularly useful to ensure that all relevant information is considered in group discussions and creative solutions are found," explained Prof. Henner Gimpel from the Department of Digital Management at the University of Hohenheim. Trust and transparency remain crucial for success If the approach is to be successful, it must be transparent and participatory. "The technology must be designed in such a way that people can trust it. The ethical use of the technology is also crucial," said Prof. Gimpel. Only if these conditions are met can hybrid intelligence systems develop their full potential and find broad acceptance. According to Prof. Berger, hybrid intelligence holds the key to solving some of the most pressing issues in agriculture. "The prospects are very promising, but there is still a need for fundamental research in order to successfully develop this technology further and then implement it. To achieve this, we need the cooperation of all stakeholders from science, practice, and society.

Researchers have discovered a new intracellular 'smoke detector.' The sensor warns of damage to the mitochondria -- the microscopic power plants that supply the cell with energy. If it does not function properly, chronic skin diseases can result. The sensor may also be important for unimpaired heart and bowel function. Researchers at the Universities of Bonn and Singapore have discovered a new intracellular "smoke detector." The sensor warns of damage to the mitochondria -- the microscopic power plants that supply the cell with energy. If it does not function properly, chronic skin diseases can result. The sensor may also be important for unimpaired heart and bowel function. The results have now been published in the journal Nature Immunology. Every cell in the body has numerous sensors that monitor its function. Some sound the alarm after a virus attack, for instance; others kick in when any kind of damage threatens the cell's survival. "We have now discovered that a molecule called NLRP10 also acts as a sensor," explains Prof. Dr. Eicke Latz, head of the Institute of Innate Immunity at the University Hospital Bonn. "This was completely unknown until now." Figuratively speaking, NLRP10 detects when the mitochondria in the cell start to smoke due to some malfunction. These are the microscopic power plants that provide the energy for cellular functions. As soon as an NLRP10 sensor detects damage to mitochondria, it sets off a complicated process. This creates a so-called inflammasome, a complex molecular machine. Its activity ultimately causes the cell to perish and be disposed of by summoned immune cells. Fire alarm prevents long-lasting smoldering fire "This process is hugely important," explains Latz, who is also the spokesperson for the Cluster of Excellence ImmunoSensation2 and a member of the Transdisciplinary Research Area "Life and Health" at the University of Bonn. This is because the inflammasome ensures that the fire is stamped out straight away, which prevents a prolonged smoldering fire that would damage other parts of the tissue. "Disruption of this mechanism can result in chronic inflammation," the researcher emphasizes. "Killing cells with mitochondrial defects may sound drastic. Ultimately, however, this step prevents more serious consequences." Not all cells in the body have an NLRP10 sensor. The "fire detector" occurs primarily in the outermost skin layer, the stratum granulosum. The skin is directly exposed to environmental stimuli such as UV radiation, but also pathogens. This could potentially result in accumulated damage. The mechanism ensures that affected cells are effectively disposed of. "If a mutation causes the NLRP10 sensor to malfunction, this can result in a chronic skin inflammation called atopic dermatitis," explains Dr. Tomasz Próchnicki, who performed an important part of the experiments for his doctorate in Latz's research group. Sensor is also found in the intestinal wall and heart Large quantities of NLRP10 are also found in the intestinal wall cells. These also have regular contact with pathogens and potentially harmful substances. Another organ in which the sensor can be detected is the heart: It is particularly dependent on a well-functioning energy supply. This may make it especially important to quickly kill and replace cells with defective mitochondria. The study may potentially also open up new therapeutic perspectives. "It is conceivable to specifically modulate the NLRP10 sensor using certain substances in order to stimulate the formation of inflammasomes," Latz explains. "This approach might enable chronic skin diseases to be better controlled." In addition to the University Hospital and the University of Bonn, the Skin Research Institute of Singapore, the Technical University of Dresden and the University of Hohenheim were involved in the work. The study was funded by the German Research Foundation (DFG), by EU funds under the European Union's Horizon 2020 program, by the Helmholtz Association, and by the Nation Research Foundation in Singapore.