Lost in Research - Wissensmanagement in komplexen (psychoanalytischen) Forschungsprojekten

Die Wissenschaft weist im Zuge der Entwicklung von der Industrie- zu einer Wissensgesellschaft einschneidende Veränderungen in der Wissensordnung auf, welche sich bis hin zu einem zunehmenden Verlust der wissenschaftlichen Selbststeuerungsmechanismen bemerkbar machen und einen veränderten Umgang mit dem generierten Wissensschatz erfordern. Nicht nur Änderungen in der Wissensordnung und -produktion stellen die Psychoanalyse vor neue Herausforderungen: In den letzten Jahrzehnten geriet sie als Wissenschaft und Behandlungsverfahren zunehmend in die Kritik und reagierte mit einer konstruktiven Diskussion um ein dem Forschungsgegenstand – die Untersuchung unbewusster Prozesse und Fantasien – adäquates psychoanalytisches Forschungsverständnis. Die Auseinandersetzung mit Forderungen gesellschaftlicher Geldgeber, politischer Vertreter und Interessensgruppen wie auch der wissenschaftlichen Community stellt die Psychoanalyse vor besondere Herausforderungen. Um wissenschaftsexternen wie -internen Gütekriterien zu genügen, ist häufig ein hoher personeller, materieller, finanzieller, methodischer wie organisatorischer Aufwand unabdingbar, wie das Beispiel des psychoanalytischen Forschungsinstitutes Sigmund-Freud-Institut zeigt. Der steigende Aufwand schlägt sich in einer zunehmenden Komplexität des Forschungsprozesses nieder, die unter anderem in den vielschichtigen Fragestellungen und Zielsetzungen, dem vermehrt interdisziplinären, vernetzten Charakter, dem Umgang mit dem umfangreichen, hochspezialisierten Wissen, der Methodenvielfalt, etc. begründet liegt. Um jener Komplexität des Forschungsprozesses gerecht zu werden, ist es zunehmend erforderlich, Wege des Wissensmanagement zu beschreiten. Tools wie z. B. Mapping-Verfahren stellen unterstützende Werkzeuge des Wissensmanagements dar, um den Herausforderungen des Forschungsprozesses zu begegnen. In der vorliegenden Arbeit werden zunächst die veränderten Forschungsbedingungen und ihre Auswirkungen auf die Komplexität des Forschungsprozesses - insbesondere auch des psychoanalytischen Forschungsprozesses - reflektiert. Die mit der wachsenden Komplexität einhergehenden Schwierigkeiten und Herausforderungen werden am Beispiel eines interdisziplinär ausgerichteten EU-Forschungsprojektes näher illustriert. Um dieser wachsenden Komplexität psychoanalytischer Forschung erfolgreich zu begegnen, wurden in verschiedenen Forschungsprojekten am Sigmund-Freud-Institut Wissensmanagement-Maßnahmen ergriffen. In der vorliegenden Arbeit wird daher in einem zweiten Teil zunächst auf theoretische Aspekte des Wissensmanagements eingegangen, die die Grundlage der eingesetzten Wissensmanagement-Instrumente bildeten. Dabei spielen insbesondere psychologische Aspekte des Wissensmanagements eine zentrale Rolle. Zudem werden die konkreten Wissensmanagement-Tools vorgestellt, die in den verschiedenen Forschungsprojekten zum Einsatz kamen, um der wachsenden Komplexität psychoanalytischer Forschung zu begegnen. Abschließend werden die Hauptthesen der vorliegenden Arbeit noch einmal reflektiert und die geschilderten Techniken des Wissensmanagements im Hinblick auf ihre Vor- und Nachteile kritisch diskutiert.

From evolution to co-evolution – An empirical study of the role of innovation, policy and public research in industrial dynamics

In the past decades since Schumpeter’s influential writings economists have pursued research to examine the role of innovation in certain industries on firm as well as on industry level. Researchers describe innovations as the main trigger of industry dynamics, while policy makers argue that research and education are directly linked to economic growth and welfare. Thus, research and education are an important objective of public policy. Firms and public research are regarded as the main actors which are relevant for the creation of new knowledge. This knowledge is finally brought to the market through innovations. What is more, policy makers support innovations. Both actors, i.e. policy makers and researchers, agree that innovation plays a central role but researchers still neglect the role that public policy plays in the field of industrial dynamics. Therefore, the main objective of this work is to learn more about the interdependencies of innovation, policy and public research in industrial dynamics. The overarching research question of this dissertation asks whether it is possible to analyze patterns of industry evolution – from evolution to co-evolution – based on empirical studies of the role of innovation, policy and public research in industrial dynamics. This work starts with a hypothesis-based investigation of traditional approaches of industrial dynamics. Namely, the testing of a basic assumption of the core models of industrial dynamics and the analysis of the evolutionary patterns – though with an industry which is driven by public policy as example. Subsequently it moves to a more explorative approach, investigating co-evolutionary processes. The underlying questions of the research include the following: Do large firms have an advantage because of their size which is attributable to cost spreading? Do firms that plan to grow have more innovations? What role does public policy play for the evolutionary patterns of an industry? Are the same evolutionary patterns observable as those described in the ILC theories? And is it possible to observe regional co-evolutionary processes of science, innovation and industry evolution? Based on two different empirical contexts – namely the laser and the photovoltaic industry – this dissertation tries to answer these questions and combines an evolutionary approach with a co-evolutionary approach. The first chapter starts with an introduction of the topic and the fields this dissertation is based on. The second chapter provides a new test of the Cohen and Klepper (1996) model of cost spreading, which explains the relationship between innovation, firm size and R&D, at the example of the photovoltaic industry in Germany. First, it is analyzed whether the cost spreading mechanism serves as an explanation for size advantages in this industry. This is related to the assumption that the incentives to invest in R&D increase with the ex-ante output. Furthermore, it is investigated whether firms that plan to grow will have more innovative activities. The results indicate that cost spreading serves as an explanation for size advantages in this industry and, furthermore, growth plans lead to higher amount of innovative activities. What is more, the role public policy plays for industry evolution is not finally analyzed in the field of industrial dynamics. In the case of Germany, the introduction of demand inducing policy instruments stimulated market and industry growth. While this policy immediately accelerated market volume, the effect on industry evolution is more ambiguous. Thus, chapter three analyzes this relationship by considering a model of industry evolution, where demand-inducing policies will be discussed as a possible trigger of development. The findings suggest that these instruments can take the same effect as a technical advance to foster the growth of an industry and its shakeout. The fourth chapter explores the regional co-evolution of firm population size, private-sector patenting and public research in the empirical context of German laser research and manufacturing over more than 40 years from the emergence of the industry to the mid-2000s. The qualitative as well as quantitative evidence is suggestive of a co-evolutionary process of mutual interdependence rather than a unidirectional effect of public research on private-sector activities. Chapter five concludes with a summary, the contribution of this work as well as the implications and an outlook of further possible research.

Microbial response to restoration of tantalite mine soils in western Rwanda

Artisanal columbite-tantalite (coltan) mining has had negative effects on the rural economy in the great Lakes region of Africa through labor deficits, degradation and loss of farmland, food insecurity, high cost of living, and reduced traditional export crop production alongside secondary impacts that remotely affect the quality of air, water, soil, plants, animals, and human wellbeing. The situation is multifaceted and calls for a holistic approach for short and long-term mitigation of such negative effects. This study focuses on the effects of mine land restoration on soil microbiological quality in the Gatumba Mining District of western Rwanda. Some coltan mine wastelands were afforested with pine and eucalyptus trees while farmers directly cultivated others due to land scarcity. Farmyard manure (FYM) is the sole fertilizer applied on the wastelands although it is insufficient to achieve the desired crop yields. Despite this, several multi-purpose plants such as Tithonia diversifolia, Markhamia lutea, and Canavalia brasiliensis thrive in the area and could supplement FYM. The potential for these “new” amendments to improve soil microbial properties, particularly in the tantalite mine soils was investigated. The specific objectives of the study were to: (a) evaluate the effects of land use on soil microbial indices of the tantalite mine soils; (b) investigate the restorative effects of organic amendments on a Technosol; and (c) estimate the short-term N and P supply potential of the soil amendments in the soils. Fresh soils (0-20 cm) from an unmined native forest, two mine sites afforested with pine and eucalyptus forests (pine and eucalyptus Technosols), an arable land, and two cultivated Technosols (Kavumu and Kirengo Technosols) were analyzed for the physicochemical properties. Afterwards, a 28-day incubation (22oC) experiment was conducted followed by measurements of mineral N, soil microbial biomass C, N, P, and fungal ergosterol contents using standard methods. This was followed by a 12-week incubation study of the arable soil and the Kavumu Technosol amended with FYM, Canavalia and Tithonia biomass, and Markhamia leaf litter after which soil microbial properties were measured at 2, 8, and 12 weeks of incubation. Finally, two 4-week incubation experiments each were conducted in soils of the six sites to estimate (i) potential mineralizable N using a soil-sand mixture (1:1) amended with Canavalia and goat manure and (ii) P mineralization mixtures (1:1) of soil and anion exchange resins in bicarbonate form amended with Tithonia biomass and goat manure. In study one, afforestation increased soil organic carbon and total N contents in the pine and eucalyptus Technosols by 34-40% and 28-30%, respectively of that in the native forest soil. Consequently, the microbial biomass and activity followed a similar trend where the cultivated Technosols were inferior to the afforested ones. The microbial indices of the mine soils were constrained by soil acidity, dithionite-extractable Al, and low P availability. In study two, the amendments substantially increased C and N mineralization, microbial properties compared with non-amended soils. Canavalia biomass increased CO2 efflux by 340%, net N mineralization by 30-140%, and microbial biomass C and N by 240-600% and 240-380% (P < 0.01), respectively after four weeks of incubation compared with the non-amended soils. Tithonia biomass increased ergosterol content by roughly 240%. The Kavumu Technosol showed a high potential for quick restoration of its soil quality due to its major responses to the measured biological parameters. In study three, Canavalia biomass gave the highest mineralizable N (130 µg g-1 soil, P < 0.01) in the Kavumu Technosol and the lowest in the native forest soil (-20 µg g-1 soil). Conversely, the mineralizable N of goat manure was negative in all soils ranging from -2.5 µg N g-1 to -7.7 µg N g-1 soil except the native forest soil. However, the immobilization of goat manure N in the “cultivated soils” was 30-70% lower than in the “forest soils” signifying an imminent recovery of the amended soils from N immobilization. The mineralization of goat manure P was three-fold that of Tithonia, constituting 61-71% of total P applied. Phosphorus mineralization slightly decreased after four weeks of incubation due to sulfate competition as reflected in a negative correlation, which was steeper in the Tithonia treatment. In conclusion, each amendment used in this research played a unique role in C, N, and P mineralization and contributed substantially to microbial properties in the tantalite mine soils. Interestingly, the “N immobilizers” exhibited potentials for P release and soil organic carbon storage. Consequently, the combined use of the amendments in specific ratios, or co-composting prior to application is recommended to optimize nutrient release, microbial biomass dynamics and soil organic matter accrual. Transport of organic inputs seems more feasible for smallholder farmers who typically manage small field sizes. To reduce acidity in the soils, liming with wood ash was recommended to also improve P availability and enhance soil biological quality, even if it may only be possible on small areas. Further, afforestation with mixed-species of fast-growing eucalyptus and legume or indigenous tree species are suggested to restore tantalite mine wastelands. It is emphasized most of this research was conducted under controlled laboratory conditions, which exclude interaction with environmental variables. Also fine fractions of the amendments were used compared with the usual practice of applying a mixture of predominantly coarser fractions. Therefore, the biological dynamics reported in the studies here may not entirely reflect those of farmers’ field conditions.