The new framework of innovation biosphere for analysing innovation policies facing COVID-19 grand challenge.

BACKGROUND: Facing global grand challenges such as coronavirus disease 2019 (COVID-19) require the participation of various actors in different sectors and systematically directing their innovative efforts. Considering the complexity, non-linear dynamics, and global extent of the COVID-19 challenge, developing and applying a multi-level, resilient, and systematic innovative framework is vital. Therefore, this study aims to apply the "innovation biosphere" framework inspired by ecological studies for examining and analysing the management dimensions of COVID-19. METHODS: In this research, based on a deductive-inductive approach, the case study methodology is used. In accordance with this strategy, the innovation biosphere metaphor is considered as the basic framework (deductive approach) and subsequently the grand challenge of COVID-19 (inductive approach) is analysed at three levels: micro, meso and macro. RESULTS: The research findings verify the correspondence between what happened in the management of COVID-19 and the proposed framework of innovation biosphere. In other words, the findings of the research show that the effect of global cooperation, role-playing and co-evolution of different actors and subsystems in facing the grand challenge of COVID-19 under an ecosystemic and eco-innovation approach has been evident. These events subsequently led to the cessation of the pandemic after about four years. CONCLUSIONS: The main policy implications include the role of self-organization, the capability of global value networks, mission orientation, and co-evolution between actors as the contributions of innovation biosphere framework for managing grand health challenges, and global cohesion, oligopoly market, supporting local innovations, the critical role of basic research, and deregulation as the contributions of the COVID-19 case study for enhancing the innovation biosphere metaphor.

Ten years of image analysis and machine learning competitions in dementia.

Machine learning methods exploiting multi-parametric biomarkers, especially based on neuroimaging, have huge potential to improve early diagnosis of dementia and to predict which individuals are at-risk of developing dementia. To benchmark algorithms in the field of machine learning and neuroimaging in dementia and assess their potential for use in clinical practice and clinical trials, seven grand challenges have been organized in the last decade: MIRIAD (2012), Alzheimer's Disease Big Data DREAM (2014), CADDementia (2014), Machine Learning Challenge (2014), MCI Neuroimaging (2017), TADPOLE (2017), and the Predictive Analytics Competition (2019). Based on two challenge evaluation frameworks, we analyzed how these grand challenges are complementing each other regarding research questions, datasets, validation approaches, results and impact. The seven grand challenges addressed questions related to screening, clinical status estimation, prediction and monitoring in (pre-clinical) dementia. There was little overlap in clinical questions, tasks and performance metrics. Whereas this aids providing insight on a broad range of questions, it also limits the validation of results across challenges. The validation process itself was mostly comparable between challenges, using similar methods for ensuring objective comparison, uncertainty estimation and statistical testing. In general, winning algorithms performed rigorous data pre-processing and combined a wide range of input features. Despite high state-of-the-art performances, most of the methods evaluated by the challenges are not clinically used. To increase impact, future challenges could pay more attention to statistical analysis of which factors (i.e., features, models) relate to higher performance, to clinical questions beyond Alzheimer's disease, and to using testing data beyond the Alzheimer's Disease Neuroimaging Initiative. Grand challenges would be an ideal venue for assessing the generalizability of algorithm performance to unseen data of other cohorts. Key for increasing impact in this way are larger testing data sizes, which could be reached by sharing algorithms rather than data to exploit data that cannot be shared. Given the potential and lessons learned in the past ten years, we are excited by the prospects of grand challenges in machine learning and neuroimaging for the next ten years and beyond.

Grand challenges in biodiversity-ecosystem functioning research in the era of science-policy platforms require explicit consideration of feedbacks.

Feedbacks are an essential feature of resilient socio-economic systems, yet the feedbacks between biodiversity, ecosystem services and human wellbeing are not fully accounted for in global policy efforts that consider future scenarios for human activities and their consequences for nature. Failure to integrate feedbacks in our knowledge frameworks exacerbates uncertainty in future projections and potentially prevents us from realizing the full benefits of actions we can take to enhance sustainability. We identify six scientific research challenges that, if addressed, could allow future policy, conservation and monitoring efforts to quantitatively account for ecosystem and societal consequences of biodiversity change. Placing feedbacks prominently in our frameworks would lead to (i) coordinated observation of biodiversity change, ecosystem functions and human actions, (ii) joint experiment and observation programmes, (iii) more effective use of emerging technologies in biodiversity science and policy, and (iv) a more inclusive and integrated global community of biodiversity observers. To meet these challenges, we outline a five-point action plan for collaboration and connection among scientists and policymakers that emphasizes diversity, inclusion and open access. Efforts to protect biodiversity require the best possible scientific understanding of human activities, biodiversity trends, ecosystem functions and-critically-the feedbacks among them.

Broadening the ecological mindset.

Over the past three decades, the Harvard Forest Summer Research Program in Ecology (HF-SRPE) has been at the forefront of expanding the ecological tent for minoritized or otherwise marginalized students. By broadening the definition of ecology to include fields such as data science, software engineering, and remote sensing, we attract a broader range of students, including those who may not prioritize field experiences or who may feel unsafe working in rural or urban field sites. We also work towards a more resilient society in which minoritized or marginalized students can work safely, in part by building teams of students and mentors. Teams collaborate on projects that require a diversity of approaches and create opportunities for students and mentors alike to support one another and share leadership. Finally, HF-SRPE promotes an expanded view of what it means to become an ecologist. We value and support diverse career paths for ecologists to work in all parts of society, to diversify the face of ecology, and to bring different perspectives together to ensure innovations in environmental problem solving for our planet.

The concept of alimentation and transdisciplinary research.

Although the term 'alimentation' has existed in the English language since the late 16th century, its use is infrequent. In Latin languages, particularly French, 'alimentation' conveys a holistic notion of the process by which humans produce, procure, prepare, share, indulge in, and digest their foods. Thus, the concept of alimentation encompasses and integrates human, technological, sociocultural, and environmental domains. This article delves into the origins of the term 'alimentation' and its use in the foreign scientific literature, and particularly in the social sciences. Unlike 'food and nutrition', alimentation provides a broader frame for the grand challenges of what, how, and with whom we eat. This approach should lead to transdisciplinary research (TDR) interfacing several knowledge domains (e.g., environmental, technological, socio-cultural, nutritional, etc.) and involving key stakeholders. Possible outcomes of TDR in alimentation are inspiring and meaningful collaborations, innovative methodologies for integrating knowledge, transformative learning of researchers, enriched educational experiences for students, focused community action, and improved public policy. The term 'alimentation' is appropriately used in French and other Latin languages. Alimentation embraces human, technological, sociocultural, and environmental issues This holistic concept views agriculture, food, and nutrition as parts of a broader process Transdisciplinary research interfaces several dimensions of food and eating. © 2020 Society of Chemical Industry.

Direct Caregiving in Older Adults: How Systems of Care Perpetuate the Grand Challenges and What Social Workers Can Do about It.

Direct care workers (DCWs) provide personal care, emotional support, and companionship, helping older adults maintain quality lives. DCWs earn low wages, have little training, and experience high turnover rates. While the demand for DCWs grows, real wages continue to fall. Undervaluing DCWs threatens the continuity and quality of care that older adults receive. Through the social work grand challenges lens, this article discusses two qualitative studies, in home care (n = 24) and nursing homes (n = 23), that demonstrate that while DCWs help advance long and productive lives, they experience extreme economic inequality and lack equal opportunity and justice. The article concludes with a discussion of social work's role in advancing opportunity and justice.

Future themes of mathematics education research: an international survey before and during the pandemic.

Before the pandemic (2019), we asked: On what themes should research in mathematics education focus in the coming decade? The 229 responses from 44 countries led to eight themes plus considerations about mathematics education research itself. The themes can be summarized as teaching approaches, goals, relations to practices outside mathematics education, teacher professional development, technology, affect, equity, and assessment. During the pandemic (November 2020), we asked respondents: Has the pandemic changed your view on the themes of mathematics education research for the coming decade? If so, how? Many of the 108 respondents saw the importance of their original themes reinforced (45), specified their initial responses (43), and/or added themes (35) (these categories were not mutually exclusive). Overall, they seemed to agree that the pandemic functions as a magnifying glass on issues that were already known, and several respondents pointed to the need to think ahead on how to organize education when it does not need to be online anymore. We end with a list of research challenges that are informed by the themes and respondents' reflections on mathematics education research.

Nudging and citizen science: The effectiveness of feedback in energy-demand management.

Nudging is a framework for directing individuals toward better behavior, both for personal and societal benefits, through heuristics that drive the decision-making process but without preventing any available choice. Considering the Grand Challenges that our society faces today, nudging represents an effective framework to tackle some of these pressing issues. In this work, we assessed the effectiveness of informational nudges in the form of detailed, customized feedback, within an energy-demand-management project. The project aligns energy production and demand, thereby reducing greenhouse gases and pollutant emissions to mitigate climate change. We also offered evidence that this kind of feedback is efficacious in involving individuals as citizen scientists, who volunteer their efforts toward the success of the environmentally-related aim of the project. The results of this research - based on surveys, electroencephalography measurements and online participation measures - indicate that feedback can be an effective tool to steer participants' behavior under the libertarian paternalistic view of nudging, increase their motivation to contribute to citizen science, and improve their awareness about environmentally-related issues. In so doing, we provide evidence that nudging and citizen science can be jointly adopted toward the mitigation of pressing environmental issues.

The COVID-19 Virtual Idea Blitz: Marshaling social entrepreneurship to rapidly respond to urgent grand challenges.

In response to societal grand challenges, professors have unique opportunities to effect change, repurposing their expertise to deploy relevant, timely, practical, and research-backed knowledge for the betterment of communities. Drawing on scholarship on postcrisis organizing, entrepreneurial hustle, and social entrepreneurship, we provide a firsthand, real-time case description of a three-day "virtual idea blitz" organized in response to the COVID-19 crisis. The event was organized and executed in less than a week and ultimately involved 200 individuals, including entrepreneurs, coders, medical doctors, venture capitalists, industry professionals, students, and professors from around the world. By the end of the weekend, 21 ideas with corresponding pitches were developed in five thematic areas: health needs, education, small businesses, community, and purchasing. We describe how the community was rapidly rallied, and we discuss the key learning outcomes of this spontaneous entrepreneurial endeavor. We provide evidence from participants and mentors that showcases the value of the time-compressed virtual idea blitz in accelerating social entrepreneurial action. We offer practical guidance to academic, community, and professional institutions that would like to replicate or build upon our approach to stimulate the formation of community and to coordinate efforts to thwart the ongoing threat of COVID-19, as well as other societal challenges that might emerge in the future.

From fighting COVID-19 pandemic to tackling sustainable development goals: An opportunity for responsible information systems research.

The recent outbreak of the COVID-19 pandemic has posed a significant threat to the healthy lives and well-being of billions of people worldwide. As the world begins to open up from lockdowns and enters an unprecedented state of vulnerability, or what many have called "the new normal", it makes sense to reflect on what we have learned, revisit our fundamental assumptions, and start charting the way forward to contribute to building a sustainable world. In this essay, we argue that despite its significant damage to human lives and livelihoods, the coronavirus pandemic presents an excellent opportunity for the human family to act in solidarity and turn this crisis into an impetus to achieve the United Nation's (UN) Sustainable Development Goals (SDG). In this article, we will highlight the six relevant themes that have evolved during the pandemic and the corresponding topics that future researchers could focus on. We conclude by issuing a call for more research attention on tackling SDG through developing the concept and practice of digital sustainability.

The role of citizen science in addressing grand challenges in food and agriculture research.

The power of citizen science to contribute to both science and society is gaining increased recognition, particularly in physics and biology. Although there is a long history of public engagement in agriculture and food science, the term 'citizen science' has rarely been applied to these efforts. Similarly, in the emerging field of citizen science, most new citizen science projects do not focus on food or agriculture. Here, we convened thought leaders from a broad range of fields related to citizen science, agriculture, and food science to highlight key opportunities for bridging these overlapping yet disconnected communities/fields and identify ways to leverage their respective strengths. Specifically, we show that (i) citizen science projects are addressing many grand challenges facing our food systems, as outlined by the United States National Institute of Food and Agriculture, as well as broader Sustainable Development Goals set by the United Nations Development Programme, (ii) there exist emerging opportunities and unique challenges for citizen science in agriculture/food research, and (iii) the greatest opportunities for the development of citizen science projects in agriculture and food science will be gained by using the existing infrastructure and tools of Extension programmes and through the engagement of urban communities. Further, we argue there is no better time to foster greater collaboration between these fields given the trend of shrinking Extension programmes, the increasing need to apply innovative solutions to address rising demands on agricultural systems, and the exponential growth of the field of citizen science.

On the added value of forensic science and grand innovation challenges for the forensic community.

In this paper the insights and results are presented of a long term and ongoing improvement effort within the Netherlands Forensic Institute (NFI) to establish a valuable innovation programme. From the overall perspective of the role and use of forensic science in the criminal justice system, the concepts of Forensic Information Value Added (FIVA) and Forensic Information Value Efficiency (FIVE) are introduced. From these concepts the key factors determining the added value of forensic investigations are discussed; Evidential Value, Relevance, Quality, Speed and Cost. By unravelling the added value of forensic science and combining this with the future needs and scientific and technological developments, six forensic grand challenges are introduced: i) Molecular Photo-fitting; ii) chemical imaging, profiling and age estimation of finger marks; iii) Advancing Forensic Medicine; iv) Objective Forensic Evaluation; v) the Digital Forensic Service Centre and vi) Real time In-Situ Chemical Identification. Finally, models for forensic innovation are presented that could lead to major international breakthroughs on all these six themes within a five year time span. This could cause a step change in the added value of forensic science and would make forensic investigative methods even more valuable than they already are today.

Back to the Future: What Healthcare Organizations Need to Thrive in the Face of Persistent Environmental Uncertainty.

While uncertainty has always been a feature of the healthcare environment, its pace and scope are rapidly increasing, fueled by myriad factors such as technological advancements, the threat and frequency of disruptive events, global economic developments, and increasing complexity. Contemporary healthcare organizations thus persistently face what is known as "deep uncertainty," which obscures their ability to predict outcomes of strategic action and decision-making, presenting them with novel challenges and threatening their survival. Persistent, deep uncertainty challenges us to revisit and reconsider how we think about uncertainty and the strategic actions needed by organizations to thrive under these circumstances. Simply put, how can healthcare organizations thrive in the face of deeply uncertain environments? We argue that healthcare organizations need to employ both adaptive and creative strategic approaches in order to effectively meet patients' needs and capture value in the long-term future. The chapter concludes by offering two ways organizations can build the dynamic capabilities needed to employ such approaches.

The Coproduction of Health Framework: Seeking Instructive Management Models and Theories.

At the beginning of the 21st century, multiple and diverse social entities, including the public (consumers), private and nonprofit healthcare institutions, government (public health) and other industry sectors, began to recognize the limitations of the current fragmented healthcare system paradigm. Primary stakeholders, including employers, insurance companies, and healthcare professional organizations, also voiced dissatisfaction with unacceptable health outcomes and rising costs. Grand challenges and wicked problems threatened the viability of the health sector. American health systems responded with innovations and advances in healthcare delivery frameworks that encouraged shifts from intra- and inter-sector arrangements to multi-sector, lasting relationships that emphasized patient centrality along with long-term commitments to sustainability and accountability. This pathway, leading to a population health approach, also generated the need for transformative business models. The coproduction of health framework, with its emphasis on cross-sector alignments, nontraditional partner relationships, sustainable missions, and accountability capable of yielding return on investments, has emerged as a unique strategy for facing disruptive threats and challenges from nonhealth sector corporations. This chapter presents a coproduction of health framework, goals and criteria, examples of boundary spanning network alliance models, and operational (integrator, convener, aggregator) strategies. A comparison of important organizational science theories, including institutional theory, network/network analysis theory, and resource dependency theory, provides suggestions for future research directions necessary to validate the utility of the coproduction of health framework as a precursor for paradigm change.

Can flipped classroom pedagogy offer promising perspectives for mathematics education on pandemic-related issues? A systematic literature review.

Educators sometimes effect changes in education through the implementation of new ideas, and sometimes extraordinary circumstances force them to change their educational approaches, as during the COVID-19 crisis. Although we live in a digital age, the limited use of technology in education, particularly prior to the COVID-19 pandemic, and teachers' insufficient experience with online or hybrid learning and teaching approaches resulted in several countries being unprepared for education during the pandemic. The flipped classroom (FC) is an innovative pedagogy with the potential to engage students in mathematics education using hybrid education combined with online and face-to-face learning, which is especially important during a pandemic. However, despite the high expectations surrounding this innovative approach, to date, no systematic literature review has discussed the opportunities and pitfalls of FCs in mathematics education regarding pandemic-related issues. In the present systematic review, we aim to bridge this gap and highlight the importance of flipping mathematics instruction during the pandemic and beyond. The results, which are based on textual analysis of 97 eligible articles, demonstrate that FC is a promising pedagogy that has numerous benefits for mathematics teaching and learning, although it is not a panacea for pandemic-related issues, as it also has several significant pitfalls. Overall, if the mechanism of mathematics education is to be crisis-ready, we should learn from experiences during the pandemic. In this regard, the current review contributes to research in mathematics education with the aim of gaining insight into successful implementations of FC pedagogy, not only during the pandemic but also beyond the crisis era of a pandemic. Supplementary Information: The online version contains supplementary material available at 10.1007/s11858-022-01388-w.

Beyond rankings: Learning (more) from algorithm validation.

Challenges have become the state-of-the-art approach to benchmark image analysis algorithms in a comparative manner. While the validation on identical data sets was a great step forward, results analysis is often restricted to pure ranking tables, leaving relevant questions unanswered. Specifically, little effort has been put into the systematic investigation on what characterizes images in which state-of-the-art algorithms fail. To address this gap in the literature, we (1) present a statistical framework for learning from challenges and (2) instantiate it for the specific task of instrument instance segmentation in laparoscopic videos. Our framework relies on the semantic meta data annotation of images, which serves as foundation for a General Linear Mixed Models (GLMM) analysis. Based on 51,542 meta data annotations performed on 2,728 images, we applied our approach to the results of the Robust Medical Instrument Segmentation Challenge (ROBUST-MIS) challenge 2019 and revealed underexposure, motion and occlusion of instruments as well as the presence of smoke or other objects in the background as major sources of algorithm failure. Our subsequent method development, tailored to the specific remaining issues, yielded a deep learning model with state-of-the-art overall performance and specific strengths in the processing of images in which previous methods tended to fail. Due to the objectivity and generic applicability of our approach, it could become a valuable tool for validation in the field of medical image analysis and beyond.

Tracing the connections between international business and communicable diseases.

We posit that international business and the emergence and spread of communicable diseases are intrinsically connected. To support our arguments, we first start with a historical timeline that traces the connections between international business and communicable diseases back to the sixth century. Second, following the epidemiology of communicable diseases, we identify two crucial transitions related to international business: the emergence of epidemics within a host country and the shift from epidemics to global pandemics. Third, we highlight international business contextual factors (host country regulatory quality, urbanization, trade barriers, global migration) and multinationals' activities (foreign direct investment, corporate political activity, global supply chain management, international travel) that could accelerate each transition. Finally, building on public health insights, we suggest research implications for business scholars on how to integrate human health challenges into their studies and practical implications for global managers on how to help prevent the emergence and spread of communicable diseases.

Nous postulons que les affaires internationales et l'émergence et la propagation des maladies transmissibles sont intrinsèquement liées. Afin d'étayer nos arguments, nous commençons par une chronologie historique qui retrace les liens entre les affaires internationales et les maladies transmissibles jusqu'au sixième siècle. Deuxièmement, en suivant l'épidémiologie des maladies transmissibles, nous identifions deux transitions cruciales liées aux affaires internationales: l'émergence des épidémies dans un pays d'accueil et le passage des épidémies aux pandémies mondiales. Troisièmement, nous mettons en lumière les facteurs contextuels des affaires internationales (qualité de la réglementation du pays d'accueil, urbanisation, barrières commerciales, migration au niveau mondial) et les activités des multinationales (investissement direct à l'étranger, activité politique des entreprises, gestion de la chaîne d'approvisionnement mondiale, voyages internationaux) qui pourraient accélérer chaque transition. Enfin, nous appuyant sur la littérature de la santé publique, nous suggérons, d'une part, des implications de recherche pour les chercheurs en management sur la manière d'intégrer des défis liés à la santé humaine dans leurs travaux et, d'autre part, des implications pratiques pour les managers internationaux sur la manière d'aider à prévenir l'émergence et la propagation des maladies transmissibles.

Planteamos que los negocios internacionales y el surgimiento y propagación de enfermedades transmisibles están conectados intrínsecamente. Para apoyar nuestros argumentos, primero comenzamos con un cuadro cronológico que rastrea las conexiones entre negocios internacionales y enfermedades transmisibles hasta el siglo VI. Segundo, siguiendo la epidemiologia de las enfermedades transmisibles, identificamos dos transiciones cruciales relacionados con los negocios internacionales: el surgimiento de epidemia en un país anfitrión y el cambio de epidemia a pandemia global. Tercero, resaltamos los factores contextuales de negocios internacionales (calidad regulatoria del país anfitrión, urbanización, barreras comerciales, migración global) y las actividades de las multinacionales (inversión extranjera directa, actividad política corporativa, gestión de la cadena de abastecimiento, viajes internacionales) que podrían acelerar cada transición. Finalmente, sobre la base de los aportes de la salud pública, sugerimos implicaciones de investigación para académicos de negocios internacionales sobre cómo integrar los retos de la salud pública en sus estudios y las repercusiones prácticas para los gerentes globales sobre cómo ayudar a prevenir el surgimiento y propagación de enfermedades transmisibles.

Postulamos que negócios internacionais e o surgimento e disseminação de doenças transmissíveis estão intrinsecamente conectados. Para apoiar nossos argumentos, começamos com uma linha do tempo histórica que traça as conexões entre negócios internacionais e doenças transmissíveis até o século VI. Em segundo lugar, seguindo a epidemiologia de doenças transmissíveis, identificamos duas transições cruciais relacionadas a negócios internacionais: o surgimento de epidemias em um país anfitrião e a mudança de epidemias para pandemias globais. Em terceiro lugar, destacamos fatores contextuais de negócios internacionais (qualidade regulatória do país anfitrião, urbanização, barreiras comerciais, migração global) e atividades de multinacionais (investimento estrangeiro direto, atividade política corporativa, gestão da cadeia de suprimentos global, viagens internacionais) que poderiam acelerar cada transição. Por fim, com base em insights de saúde pública, sugerimos implicações de pesquisa para acadêmicos de negócios sobre como integrar desafios de saúde humana em seus estudos e implicações práticas para gerentes globais sobre como ajudar a prevenir o surgimento e a disseminação de doenças transmissíveis.

Rainbow Wash or Rainbow Revolution? Dynamic Stakeholder Engagement for SDG-Driven Responsible Innovation.

The United Nations' increasing involvement in global sustainability culminated in 2015 with the release of the 2030 Agenda. This agenda puts businesses in the spotlight, and their innovation and stakeholder partnering activities are portrayed as essential strategies for achieving an ambitious set of 17 Sustainable Development Goals (SDGs). In this study, we identify six distinct dynamic stakeholder engagement strategies-resilient specialists, opportunity explorers, uncommitted diversifiers, rainbow warriors, rainbow washers, and progressive learners-and distinguish two approaches to innovate, depending on the range of SDG targets aimed to achieve simultaneously. On the one hand, for firms that take a narrow approach intended to achieve a reduced set of SDG targets, we predict that successful dynamic stakeholder engagement strategies are those that end up with an intensive collaboration with a reduced number of stakeholder groups. On the other hand, for firms adopting a broad innovation approach to satisfy a wide set of SDG targets, we predict that successful dynamic stakeholder engagement strategies are those that end up interacting with a wide number of stakeholder groups. Longitudinal analysis of more than 3900 Spanish firms supports our predictions and suggests clear implications for responsible innovation research and the advancement of sustainable development through collaboration.

Research on Grand Challenges: Adopting an Abductive Experimentation Methodology.

There has been a growing interest among management scholars in conducting research on grand challenges. Despite recognizing that studying such highly complex and uncertain phenomena likely requires more unconventional approaches, there has been very little methodological guidance provided to interested scholars. Drawing upon our own grand challenge projects undertaken over the past decade, we put forward a methodological approach we term 'abductive experimentation'. Such an approach is an action-oriented process of inquiry that cycles between generating 'doubt' and generating 'belief'. More specifically, abductive experimentation iterates between induction, abduction, and deduction to both generate and reconcile 'surprising' findings and causal mechanisms. While we submit abductive experimentation as a methodological approach particularly well suited to the study of grand challenges, we believe that the process depicted also provides a general roadmap for scholars seeking to dismantle the artificial dualism between theory and practice.

Geospatial Information Research: State of the Art, Case Studies and Future Perspectives.

Geospatial information science (GI science) is concerned with the development and application of geodetic and information science methods for modeling, acquiring, sharing, managing, exploring, analyzing, synthesizing, visualizing, and evaluating data on spatio-temporal phenomena related to the Earth. As an interdisciplinary scientific discipline, it focuses on developing and adapting information technologies to understand processes on the Earth and human-place interactions, to detect and predict trends and patterns in the observed data, and to support decision making. The authors - members of DGK, the Geoinformatics division, as part of the Committee on Geodesy of the Bavarian Academy of Sciences and Humanities, representing geodetic research and university teaching in Germany - have prepared this paper as a means to point out future research questions and directions in geospatial information science. For the different facets of geospatial information science, the state of art is presented and underlined with mostly own case studies. The paper thus illustrates which contributions the German GI community makes and which research perspectives arise in geospatial information science. The paper further demonstrates that GI science, with its expertise in data acquisition and interpretation, information modeling and management, integration, decision support, visualization, and dissemination, can help solve many of the grand challenges facing society today and in the future.