Science Partnership Research Articles

DEVELOPMENT OF AGRICULTURAL SCIENCE ON THE PLATFORM OF INNOVATIVE BIOECONOMY

Ukraine's economy is in a state of crisis caused by the war. The agricultural sector in extreme conditions is trying to fulfill its function of ensuring the food security of the state, supporting its export potential despite limited resources and logistical problems. Agrarian science in the conditions of budget funding deficit is trying to find ways to use the scientific and experimental base, developed varieties and technologies to promote the stabilization and revival of agro-industrial production in the industry and regions. Effective models of implementing the innovative potential of agrarian science on a business basis are necessary.The purpose of the study is to justify the platform of market adaptation of science to crisis conditions and the mobilization of scientific potential in the breakthrough directions of the development of the agrarian sphere on the basis of innovative bioeconomy and close cooperation between science and business.To realize the set goal, the work assessed the possibilities of integrating science and business on the platform of innovative bioeconomy in the crisis economic and legal conditions of Ukraine; the bio-ecosystem of the platform and its operational mechanism of the partnership of science and business for the implementation of joint innovation and investment projects are substantiated. For the introduction of a well-founded bioecosystem, a set of measures is proposed for the formation of a platform in the system of agrarian science on the basis of conducted tests and adopted organizational decisions based on the example of the National Academy of Agrarian Sciences of Ukraine. Cooperation between agricultural science and business on the basis of the proposed public-private partnership platform ensures the mobilization of scientific potential to solve pressing issues of innovative development of agricultural production, rural areas through the creation and transfer of breakthrough and supporting bioinnovations, the production of competitive innovative agro-food products.

Archetypes of Open Science Partnerships: connecting aims and means in open biomedical research collaborations

Open Science Partnerships (OSPs) are gaining attention as alternatives to university–industry collaborations with restrictive IPR and knowledge sharing policies. OSPs have different expected outcomes and deploy varying means to reach them. Appreciating these differences is crucial to understanding their scientific and socio-economic impact, and yet these differences have never been systematically investigated. This exploratory study draws on qualitative case studies of five biomedical OSPs involving academic partners and pharmaceutical companies. It identifies key elements—purpose, activities and structure—that can be used to describe how OSPs are designed. We identify two key aspects of purpose—predominant intent and research aims—which we argue affect the activities and structure of an OSP. Based on these two aspects, we propose four ideal types of OSPs that are designed to provide a starting point for researchers who explore the nature and impact of OSPs and for practitioners who are developing OSPs and wish to ensure that they deploy appropriate means to meet the intended outcomes of their partnership.

Implementation lead nurses to lead EBP quality improvement project using the PEACE framework.

Implementing evidence-based practice (EBP) in clinical practice is an ongoing challenge for nurses. EQUIP-Evidence-based QUality Improvement Project- is a multiphase project aimed at equipping nurses with the essential skills to implement EBP and advanced nursing practice. EQUIP embraces the assumption that implementation science models and partnership models can facilitate the implementation process of EBP, leading to successful and sustainable change. The current study is one of the EQUIP feasibility investigations in which the perspective of 12 implementation lead nurses (IL nurses) who attended a 1-day PEACE-based workshop was explored. Thematic analysis identified 2 overarching themes, 6 themes, and 18 subthemes. The first overarching theme showed that the PEACE-based workshop has successfully achieved its intended training implications, and the second overarching theme gave insight into factors that may influence the role of IL nurses. IL nurses reported general satisfaction and willingness to use the PEACE model at work; however, some IL nurses found Step 3 difficult to apply. The study's findings provide evidence of the perceived usefulness of adopting the PEACE model as an augmented approach in the EQUIP and the interest and enthusiasm of IL nurses in receiving more training on the implementation process of EBP.

Local surface warming assessment in response to vegetation shifts over arid lands of Central Asia (2001−2020)

The Northern Eurasia Earth Science Partnership Initiative (NEESPI) was established to address the large-scale environmental change across this region. Regardless of the increasingly insightful literature addressing vegetation change across Central Asia, the biogeophysical warming effects of vegetation shifts still need to be clarified. To contribute, the utility of robust satellite observation is explored to evaluate the surface warming effects of vegetation shifts across Central Asia, which is among NEEPSI's hotspots. We estimated an average increase of +1.9 °C in daytime local surface temperature and + 1.5 °C in the nighttime due to vegetation shift (2001–2020). Meanwhile, the mean local latent heat increased by 4.65Wm−2, following the mild reduction of emitted longwave radiation (−0.8Wm−2). We found that vegetation shifts led to local surface warming with a bright surface, noting that the average air surface temperature was revealed to have increased significantly (2001–2020). This signal was driven mainly by agricultural expansion in western Kazakhstan stretching to Tajikistan and Xinjiang, then deforestation confined in Tajikistan, southeast Kazakhstan, and the northwestern edge of Xinjiang, and finally, grassland encroachment occurred massively in the west to central Kazakhstan. These findings address the latest information on Central Asia's vegetation shifts that may be substantial in landscape change mitigation plans.

ACTUALIZING THE VENTURING MODEL IN UKRAINE

The financing of innovations is the driving driver of the innovative model of development of any country, and Ukraine in particular. In modern conditions, the importance of venture capital for the economy of Ukraine is growing against the background of reducing alternatives to raising capital for the development of small and high-tech businesses. The reasons for the current state of decline in the innovation and investment process in Ukraine are analyzed and identified. Peculiarities of venture investment in Ukraine are studied. It is determined that the vast majority of venture capital institutions, regardless of their field of activity, are used mainly by large industrial and financial groups to preserve assets and minimize taxation, rather than to finance innovation. The obtained results give grounds for the conclusion that the essence of venture entrepreneurship in Ukraine does not correspond to the American and European models. The current conditions turn venture funds in Ukraine from an instrument of innovative development into a means of making a profit for large financial and industrial groups, which is a hidden reason for slowing down the innovation and investment process. An updated Ukrainian venture model is proposed, taking into account the peculiarities of the economy and a thorough rethinking of the existing structure of venture capital. The introduction of a rational combination of public, private, and research components of the investment process is proposed, i.e. the need to involve universities, scientists, and the scientific elite in the venture industry. It is determined that this model is only one of the components of a comprehensive program to stimulate investment demand, which also includes: ensuring macroeconomic stability; ensuring economic freedom; ensuring economic security; an increase of investment resource; impact on investment propensity; liberalization and development of the financial market; stimulating investment activities through the mechanism of state support for business and science partnerships.

Mutualism as Mutual Trust: An Ethnographic Case Study on an Elementary-School Teacher-Team Participation in a Science PD Program

This grounded in social constructivism yearlong ethnographic case study was conducted at the final stage of a larger, longitudinal, multisite, and multi-year project. The current research focused on a group of urban public elementary schoolteachers who volunteered to participate in the National Science Foundation (NSF)-funded interdisciplinary science and engineering partnership (ISEP) project. These teachers were enrolled in the professional development (PD) college courses in physics and engineering design, summer research in university laboratories, and interdisciplinary science inquiry (ISI) pedagogy sessions. This research sought to understand the factors which contributed to successful teamwork at the elementary school under investigation. Additionally, this study investigated the changes in the ISEP-participating educators’ teaching approaches, methods, and techniques upon their completion of their studies with the ISEP Summer Institute. Data were collected from the structured interviews with the participating teachers and their students and observations of the school-based activities during in-class and extra-curricular instruction. The researchers used Saldaña’s (2013) thematic and value coding and Miles and Huberman (1984) memoing for data analysis. This research found that the teachers’ team embedded their newly acquired research experiences and pedagogic knowledge into their instruction. Joint endeavors of the project participants lead to higher interest and engagement in learning processes in this school’s student population as well as greater involvement of the schoolchildren, their families, and the surrounding community in the team-organized science-based educational events and activities.

Seroprevalence of Bas-Congo virus in Mangala, Democratic Republic of the Congo: a population-based cross-sectional study

Bas-Congo virus (BASV), an emerging tibrovirus, was associated with an outbreak of acute haemorrhagic fever in Mangala, Democratic Republic of the Congo, in 2009. In 2012, neutralising antibodies to BASV were detected in the lone survivor and one of his close contacts. However, subsequent serological and molecular surveys were unsuccessful as neither BASV antibodies nor its RNA were detected. In this study, we determined the seroprevalence of BASV infection in Mangala 13 years after the initial outbreak. We conducted a population-based serological survey from Jan 17 to Jan 23, 2022. Consenting individuals at least 5 years of age, living in Mangala for at least 4 weeks, and who had no contraindication to venepuncture were enrolled. Participants were interviewed using a pre-tested questionnaire for sociodemographic and clinical characteristics. We supplemented the collected serum samples with 284 archived samples from Matadi and Kinshasa. All samples were tested for antibodies to BASV and other tibroviruses using a pseudovirus-based neutralisation test. Among the 267 individuals from Mangala, the prevalence of BASV antibodies was 55% (95% CI 49-61; n=147). BASV seropositivity odds significantly increased with age (5·2 [95% CI 2·1-12·9] to 83·9 [20·8-337·7] times higher in participants aged 20 years or older than participants aged 5-19 years). Some occupational categories (eg,farmer or public servant) were associated with seropositivity. Only nine (6%) of 160 samples from Matadi and one (<1%) of 124 samples from Kinshasa had neutralising antibodies to BASV. Moreover, we also detected neutralising antibodies to other tibroviruses-Ekpoma virus 1, Ekpoma virus 2, and Mundri virus-in 84 (31%), 251 (94%), and 219 (82%) of 267 Mangala samples; 14 (9%), 62 (39%), and 120 (75%) of 160 Matadi samples; and six (5%), five (4%), and 33 (27%) of 124 Kinshasa samples, respectively. Human infection with BASV and other tibroviruses seems common in Mangala, although no deadly outbreak has been reported since 2009. Exposure to BASV might be highly restricted to Mangala and the increasing prevalence of neutralising antibodies with age suggests regular contact with the virus in this city. Altogether, our findings suggest that human infection with tibroviruses could be common in the study areas and not associated with deadly haemorrhagic or debilitating syndromes. Japan Agency for Medical Research and Development (AMED) and Japan International Cooperation Agency (JICA) under the Science and Technology Research Partnership for Sustainable Development (SATREPS) and Japan Program for Infectious Diseases Research and Infrastructure from AMED.

Matching decision support modeling frameworks to disease emergence stages and associated management objectives

AbstractWildlife disease management decisions often require rapid responses to situations that are fraught with uncertainty. By recognizing that management is implemented to achieve specific objectives, resource managers and science partners can identify an analysis technique and develop a monitoring plan to evaluate management effectiveness. For emerging infectious diseases, objectives may take several distinct forms, dependent on the perceived stage of disease emergence (i.e., pre‐epidemic, early outbreak, mid‐epidemic, and endemic), the expected rate of spread, and the anticipated effect of the disease on host populations. Identifying modeling techniques and metrics that are linked to management objectives will require early and consistent communication between managers and science partners. We link modeling approaches that can be used to forecast and evaluate the performance of intervention strategies with a range of disease management objectives. Our aim is to help scientists recognize alternative modeling approaches which may better align with different forms of disease management objectives, and to help managers evaluate the relevance of proposed modeling approaches to their specified objectives for disease management. Recognizing that disease management objectives can take different forms, and thus require different modeling approaches, can help wildlife disease response teams (i.e., natural resource managers, scientists, and stakeholders working collaboratively) better prepare and respond to disease threats.

Community Empowerment Based on Branding Strengthening to Improve Rojolele’s Competitiveness Towards International Market

Klaten Regency is dominated by the agricultural sector, with paddy as its top commodity as much as 51,4% of the total area of 65,556 ha. Delanggu rice, namely Rojolele, has become the identity of Klaten as a local pride commodity from Klaten, Indonesia. Rojolele has special characteristics such as sticky, savory, and distinctive scent (aromatic). In addition, Rojolele has a unique value as part of national identity, culture, and local wisdom which has a huge opportunity to go global in the international market. Although it has been widely known worldwide, there are some challenges in its marketing development, especially in branding awareness. Many Rojolele riced produced by local SMEs in Klaten do not have business licenses yet, thus it hampers the marketing to the wider range area. The aim of the program is to strengthen the branding strategy to improve its competitiveness in the international market. The program will engage Sanggar Rojolele, a farming community in Delanggu Village that has replanted Rojolele Srinuk since 2016 as well as initiated many cultural events based on agriculture as one of local wisdom preservation in Klaten. Universitas Sebelas Maret engaged a close collaboration with the National Pingtung University of Science and Technology (NPUST) Taiwan trhough International Community Partnership (PKMI-UNS) to implement the community partnership program using the Participatory Rural Appraisal (PRA) method. The activity is divided into 5 steps, namely: 1) training of the business licenses and the importance of product diversification, which will be conducted using instructional and dialog methods; 2) a seminar of strategy to develop Rojolele towards the international market; 3) registration of business licenses of Rojolele and its derivative product; 4) developing an online market strategy of Rojolele; 5) monitoring, evaluation and program output dissemination. The program is expected to increase Rojolele’s market share globally as well as to improve Rojolele Srinuk brand awareness, thus raising its competitiveness in the global market.

Establishing a library as an Open Science partner for economic research through impact-oriented public relations work

The article describes how ZBW – Leibniz Information Centre for Economics is working to strengthen its perception as a competent partner and promoter of Open Science for its target group of economic researchers. This article describes the challenges, goals and opportunities of impact-oriented communication for libraries using the example of the ZBW. The article describes the path from the challenges and goals of the concrete communication activities and the evaluation of the impact-oriented communication work.

Partnership-building considerations for implementation science in learning health systems: a case study of the Implementation Science Collaborative in Alberta, Canada.

Implementation of health innovations is inherently collaborative, requiring trans-sectoral partnerships between implementation researchers, innovation teams, and implementation practitioners. Implementation science has been shown to improve implementation successes; however, challenges that hinder partnerships to advance implementation science continue to persist. Using a whole-system approach to assess and respond to implementation science partnership barriers may shed light on effective responses. We conducted a case study of Alberta's learning health system, using semi-structured group and individual interviews to create a nuanced understanding of the considerations required for implementation research collaborations. We interviewed 53 participants representing 21 offices in the health system, academia, professional associations, and government who regularly plan, evaluate, and/or study health system implementation initiatives in Alberta. Using the Partnership Model for Research Capacity Building, we identified current facilitators and challenges for partnerships for conducting and using implementation science, at different levels of Alberta's health-research ecosystem. Alberta's healthcare system is well set up to readily embed intervention effectiveness and efficacy research. Infrastructure was also in place to strengthen implementation practice. However, weaknesses around exchanging knowledge and skills, providing feedback and mentoring, and accommodating diversity affected the ability of both individuals and teams to build implementation science capacity. Without this capacity, teams could not participate in embedded implementation research collaborations. We report the response of the Alberta Strategy for Patient-Oriented Research SUPPORT Unit to these barriers to provide practical guidance on various program options to strengthen individual- and organization-level implementation science capacity. This study applied a whole-system approach to assess factors across Alberta's health-research ecosystem, which affect partnerships to advance implementation science. Our findings illustrated that partnership considerations go beyond interpersonal factors and include system-wide considerations. With the results, health organization leaders have (1) a method for assessing organizational capability to readily embed implementation research and (2) a catalog of potential responses to create conditions to readily engage with implementation science in their day-to-day implementation processes.

Preservice Physics Teacher Views on Scientist's Role in Physics Teaching and Learning

This qualitative study explores how preservice physics teachers think about the role that scientists play in the teaching and learning of physics. Our participants were 33 preservice physics teachers in their first year participating in a scientist partnership program through online meetings. Participants' responses were collected through an essay questionnaire, and the result was analyzed with co-occurrence network analysis. Our research shows that preservice physics teachers have a positive perspective on scientists. The primary role of a scientist is related to a person with sufficient knowledge and opinion about physics. Their role is also related to the experiment and research result. Moreover, their innovation and discovery of new physics-related things also became their central role. After preservice physics teachers interact with scientists, they have higher motivation to learn physics. Our findings suggest that the activity facilitating interaction with professional scientists must be encouraged during the preservice physics teacher program.

A National Approach to Promoting Health Equity in Cardiovascular Disease Prevention: Implementation Science Strengths, Opportunities, and a Changing Chronic Disease Context

In the USA, structural racism contributes to higher rates of cardiovascular disease (CVD) including hypertension, heart disease, and stroke among African American persons. Evidence-based interventions (EBIs), which include programs, policies, and practices, can help mitigate health inequities, but have historically been underutilized or misapplied among communities experiencing discrimination and exclusion. This commentary on the special issue of Prevention Science, “Advancing the Adaptability of Chronic Disease Prevention and Management Through Implementation Science,” describes the Centers for Disease Control and Prevention, Division for Heart Disease and Stroke Prevention’s (DHDSP’s) efforts to support implementation practice and highlights several studies in the issue that align with DHDSP’s methods and mission. This work includes EBI identification, scale, and spread as well as health services and policy research. We conclude that implementation practice to enhance CVD health equity will require greater coordination with diverse implementation science partners as well as continued innovation and capacity building to ensure meaningful community engagement throughout EBI development, translation, dissemination, and implementation.

Developing partnerships for academic data science consulting and collaboration units.

Data science consulting and collaboration units (DSUs) are core infrastructure for research at universities. Activities span data management, study design, data analysis, data visualization, predictive modelling, preparing reports, manuscript writing and advising on statistical methods and may include an experiential or teaching component. Partnerships are needed for a thriving DSU as an active part of the larger university network. Guidance for identifying, developing and managing successful partnerships for DSUs can be summarized in six rules: (1) align with institutional strategic plans, (2) cultivate partnerships that fit your mission, (3) ensure sustainability and prepare for growth, (4) define clear expectations in a partnership agreement, (5) communicate and (6) expect the unexpected. While these rules are not exhaustive, they are derived from experiences in a diverse set of DSUs, which vary by administrative home, mission, staffing and funding model. As examples in this paper illustrate, these rules can be adapted to different organizational models for DSUs. Clear expectations in partnership agreements are essential for high quality and consistent collaborations and address core activities, duration, staffing, cost and evaluation. A DSU is an organizational asset that should involve thoughtful investment if the institution is to gain real value.

The Data Mine model for accessible partnerships in data science

AbstractThe Data Mine at Purdue University is a pioneering experiential learning community for undergraduate and graduate students of any background to learn data science. The first data‐intensive experience embedded in a large learning community, The Data Mine had nearly 1300 students in academic year (AY) 2022–2023 and nearly 1700 students for AY 2023–2024. The Data Mine embodies data‐infused education, research, and collaboration. Students learn Python, R, SQL, and shell‐scripting, while working on weekly projects within a high‐performance computing (HPC) cluster. In the Corporate Partners cohort, students work on teams of 5–15 students, led by a paid student team leader. Each cohort follows an Agile approach, working on data‐intensive projects provided by industry partners and mentored by company employees. Students develop professional and data skills throughout the academic year, from August through April. Many students return in subsequent years to the program, increasing their tenure with a Corporate Partner. Student teams are inherently interdisciplinary; students from 133 different majors are involved in the program, ranging from new incoming students through PhD level students. These interdisciplinary teams of students bring new perspectives to challenging problems in which data science is a key part of the solution. The interdisciplinary teams foster an environment of synthesis with ideas and solutions. Students come together with different life experiences, different levels of technical skill, but also varying ways they navigate paths to solutions because of the variety of majors represented, resulting in a more creative and robust solution than a traditional data science program.This article is categorized under: Applications of Computational Statistics &gt; Education in Computational Statistics

Negotiating Inherent Asymmetries of Co-Design: A Case of Integrative Elementary Mathematics and Computer Science Instruction

Collaborative design, or “co-design”, is a term that has gained popularity in educational research and design communities, including those working with K-12 educators. While more groups are identifying with and pursuing co-design, much remains to be understood about how to structure the work within given different constraints, circumstances, and resources available to different parties. We propose understanding co-design as having inherent asymmetries and that structuring co-design work patterns involves negotiation of those asymmetries. Through a case of an elementary computer science and math integration research-practice partnership, we share ways that those asymmetries are both intentionally softened and leveraged at different times.

Exploring the impact of collaboration on eco-innovation in SMEs: a contribution to the business modes of innovation framework

PurposeThe purpose of the study is to investigate how small- and medium-sized enterprises (SMEs) can effectively collaborate for eco-innovation using the business modes of innovation framework to emphasise three types of collaboration: “science, technology, and innovation” (STI), “learning by doing, using, and interacting” (DUI)-Vertical and DUI-Horizontal.Design/methodology/approachThis analysis uses data from 838 SMEs in the Basque Country (2018–2020) to evaluate the effects of the three types of collaboration on eco-innovation. The authors employ a propensity score-based method to address potential bias associated with endogeneity in innovation studies.FindingsThe findings suggest that DUI-Vertical collaboration has a positive relationship with the development of product, process and marketing eco-innovation. Furthermore, DUI-horizontal collaboration is the most effective collaboration mode for SMEs, positively impacting their overall eco-innovation portfolio. Finally, STI collaboration is positively associated with product eco-innovation.Practical implicationsPolicymakers should support SMEs by designing programmes that facilitate collaboration between competing firms to stimulate eco-innovation, but potential challenges of coopetition must be addressed. Rather than a generic, one-size-fit-all approach, SMEs' managers should identify the most appropriate partners corresponding to their specific eco-innovation goal, ensuring a more effective and targeted. Collaboration between science partners and SMEs should be reinforced by approximating the SMEs' needs more effectively.Originality/valueThis study contributes twofold. Firstly, the authors investigate whether the STI and DUI modes of innovation are determinant factors in the introduction of various types of eco-innovation. Secondly, the authors contribute to the literature on business modes of innovation by differentiating between DUI-Vertical (i.e. suppliers, customers and consultancy) and DUI-Horizontal (i.e. competitors) collaboration, thus highlighting the complexity of DUI collaboration forms.

12 The Oxford - AstraZeneca COVID-19 vaccine: Breakthrough science and collaborative partnership

12 The Oxford - AstraZeneca COVID-19 vaccine: Breakthrough science and collaborative partnership

Clinical Manifestations.

Alzheimer's Disease (AD) and dementia inequities highlight the need to eliminate barriers and promote motivators for study engagement of underrepresented populations (URPs; e.g., non-Latinx Black, Latinx, sexual/gender minoritized populations). Lower educational attainment and URP status are associated with lower research engagement rates. This study examined whether engagement in this community-engaged research (CER) study of middle/older-age adults differs according to ethnoracial identity, gender identity, income, age, education, acculturation, sexual orientation, cardiovascular risk, healthcare access, ethnic discrimination, stress, and loneliness. SALUD is an ongoing, longitudinal study in NYC whose aim is to examine genetic, cerebrovascular, sociocultural risk and resilience factors for dementia. CER strategies (i.e., sustained participation in community events/organizations, Community Science Partnership Board) were employed. The Perceived Stress Scale, UCLA Loneliness Scale, Perceived Ethnic Discrimination Questionnaire, Abbreviated Multidimensional Acculturation Scale, Healthcare Task Difficulty Questionnaire, and Northern Manhattan Study Neuromedical Evaluation were administered. Participants' progress was coded as retained or dropped out of the study (DOS) for each visit in the study. Cross-sectional analyses (t-tests, chi-square and Mann-Whitney U-tests) compared demographic, health, and psychosocial variables between those who completed the in-person neuropsychological visit (i.e., ∼5 hour comprehensive neuropsychological battery, blood draw, saliva sample, neuromedical interview and questionnaires in a hospital; INP-V) and MRI visit (i.e., ∼1 hour closed MRI scan; MRI-V) with those who DOS. The sample (N = 145) was 53.8% female, older, and well-educated (M age = 65.25, SDage= 6.55, Meducation = 13.59, SDeducation= 3.23). URP study engagement was high: 31.7% non-Latinx Black, 34.5% Latinx, and 33.8% non-Latinx White. There were no significant differences in independent variables (e.g., ethnoracial, gender, discrimination) between the INP-V and DOS groups (all p's>.09). However, analyses revealed that the MRI-V group (M = 13.42, SD = 3.07) had significantly fewer years of education than the DOS group (M = 14.15, SD = 3.71) (t(143) = 2.69, p<.01, 95%CI [0.39, 2.58]) other differences were observed (ps>.05). This study's CER-based approach yielded a high level of URP study engagement. Contrary to previous findings, people with less education were more likely to complete the MRI visit suggesting a willingness to undergo more invasive procedures after establishing trust. CER-based AD studies may help URP participants overcome participation barriers through collaboration with the community.

Differentiating the impacts of ambient temperature on pneumonia mortality of various infectious causes: a nationwide, individual-level, case-crossover study

It remains unknown how ambient temperature impact pneumonia of various infectious causes. Based on the national death registry covering all counties in Chinese mainland, we conducted an individual-level case-crossover study in China from 2013 to 2019. Exposures were assigned at residential addresses for each decedent. Conditional logistic regression model combined with distributed lag non-linear models were used to estimate the exposure-response associations. The attributable fractions due to non-optimum temperature were calculated after accounting for spatial and temporal patterns for the excess risks. The exposure-response curves were inversely J-shaped with both low and high temperature increasing the risks, and the effect of low temperature was stronger. Extremely low temperature was associated with higher magnitude of influenza-related pneumonia [relative risk (RR): 2.46, 95% confidence interval (CI): 1.62-3.74], than viral pneumonia (RR: 1.89, 95% CI: 1.55-2.30) and bacterial pneumonia (RR: 1.81, 95% CI: 1.56-2.09). The magnitudes of RRs associated with extremely high temperature were similar among the three categories of pneumonia. The mortality attributable fraction for influenza-related pneumonia (29.78%) was the highest. The effects were stronger in people of low education level or residence in the north. This nationwide study presents findings on the varied risk and burden of pneumonia mortality of various infectious causes, and highlights the susceptibility of influenza-related pneumonia to ambient low temperature. This study is supported by the National Key Research and Development Program (2022YFC3702701), the Shanghai Municipal Science and Technology Commission (21TQ015) and Shanghai International Science and Technology Partnership Project (21230780200).