Impact Of Research Research Articles

Forensic Genealogy in Solving Age- Old Cases: Review

Forensic genealogy, a revolutionary technique at the intersection of criminal investigations, genetics, and genealogy, has gained recognition for solving mysteries and finding missing persons. This article provides an overview of its approach, highlighting its pivotal role in long-standing cases and the transformative impact of DNA analysis and genealogical research. It also includes case studies that demonstrate the effectiveness of forensic genealogy techniques.

“Don’t bring race into it”: white ignorance, UK counterterrorism and the impact agenda

ABSTRACT Based on interviews with UK civil servants working on counterterrorism, this article examines how racialised and gendered organisational norms govern the production and circulation of knowledge in government departments. It further reflects on their implications for policymakers and academics seeking to introduce critical perspectives into counterterrorism policymaking. Mobilising Charles W. Mills’s concept of white ignorance, I explore how routinised practices serve to suppress knowledge about the racialised impacts of UK counterterrorism, and particularly the Prevent programme, within policymaking spaces. The article outlines eight practices that effect the suppression or delegitimisation of testimony substantiating critiques of counterterrorism policies as racist: framing accusations of racism as misunderstandings; focusing on intentions over impacts; self-silencing; limiting what counts as evidence; framing critics as emotionally-oriented; decisions concerning who participates in these policy discussions in the first place; the siloing of discussions about racism in dedicated spaces; and efforts to frame analyses of structural racism as breaking civil servants’ obligation to political neutrality. I conclude that, because the persistence of colonial counterterrorism practices is, fundamentally, not a problem of knowledge but a problem of power, it will not be solved through the kind of policy advocacy scholars are encouraged to undertake to demonstrate “research impact”.

The influence of nuclear energy research and development investments on environmental sustainability: evidence from the United States and France

ABSTRACT Recent Sustainable Development Goals (SDG) reports have highlighted the inadequacy of environmental sustainability efforts. Thus, it is clear that current efforts towards environmental sustainability (SDG 13) and affordable and clean energy (SDG 7) policies are insufficient and a comprehensive policy agenda is needed. Existing literature limitedly addresses the determinants of environmental sustainability but relatively ignores the impact of nuclear energy research and development investments (NCI) and green environment on environmental quality. The motivation of this study is to fill this research gap and propose an overarching policy structure to achieve SDGs. In this context, this study investigates the effects of green environment, economic growth, human capital, and NCI on environmental sustainability comparatively for the United States and France through the Asymmetric Autoregressive Distributed Lag, which considers structural break. Based on the empirical analysis results, economic growth and trade openness harm environmental sustainability, while positive shocks in NCI improve environmental quality in both countries. Negative NCI shocks deteriorate environmental quality in the United States but not France. In conclusion, this study provides detailed environmental sustainability policies for the United States and France.

Perceptions and experiences of undergraduate medical students regarding social accountability: a cross-sectional study at a Subsaharan African medical school

BackgroundMedical schools are called to be socially accountable by medical education and healthcare system stakeholders. Social accountability is a feature of excellent medical education. Medical students are essential to the development of socially accountable medical schools. Therefore, understanding the perceptions and experiences of medical students regarding social accountability is critical for efforts to improve social accountability practices and outcomes.MethodsThis cross-sectional online questionnaire-based survey used Google Forms and involved medical students in their fourth and fifth years of study at the Makerere University School of Medicine. The survey was conducted between September 2022 and October 2023. We used a study questionnaire and a validated toolkit designed by students as part of The Training for Health Equity Collaborative to gauge a school’s progress towards social accountability in medical schools to collect data on demographics, perceptions and experiences and evaluate social accountability.ResultsOut of 555 eligible medical students, 426 responded to the online questionnaire. The response rate was 77%. The mean age of the students was 25.24 ± 4.4 years. Almost three fourths of the students were male (71.3%), and slightly less than two thirds were in their fourth year of study (65%). Almost half of the students (48.1%%) evaluated the school as doing well with regard to social accountability. The evaluation items referring to community-based research and positive impact on the community had the highest mean scores. Only 6 (3.6%) students who reported hearing of social accountability had a clear understanding of social accountability. Students receiving career guidance in secondary school was associated with evaluating social accountability in the medical school as strong (p-0.003).ConclusionsMedical students evaluated the medical school favorably forsocial accountability despite lacking a clear understanding of social accountability. Receiving career guidance in secondary school was significantly associated with a positive evaluation of social accountability.

The Effect of Notch and Molecular Weight on the Impact Fracture Behavior of Polycarbonate

The impact protection applications of polycarbonate (PC) products are gradually increasing. Due to the high sensitivity of PC to notches, research on notch impacts has become very important. In this paper, the impact performance of PC with two different molecular weights under different notch states was investigated. Three notch size factors, namely notch tip radius, notch angle, and notch center depth, were selected to design orthogonal experiments and research impact toughness. Subsequently, a single-factor study was conducted on the impact radius at the tip of the notch, which was the most important factor affecting the impact performance. Research shows that the brittle–ductile-transition tip radius of high-molecular-weight PC is 0.15 mm, and it has a higher impact toughness than low-molecular-weight PC during the brittle fracture process. The brittle–ductile-transition tip radius of lower molecular weight is 0.25 mm, while low-molecular-weight PC has a higher impact toughness during the ductile fracture process. The brittle and ductile fracture mechanisms of PC with different molecular weights were analyzed by observing the stress changes and cross-sectional morphology.

Exploring the research impact of Professor Efthymios (Mike) Tsionas

This paper provides a literature review of Professor Efthymios (Mike) Tsionas’ influential contributions to the fields of econometrics and tourism economics. Tsionas’ research spans a broad spectrum of methodological advancements and empirical analyses, focusing particularly on Bayesian inference, stochastic frontier models, and efficiency and productivity estimation. In econometrics, Tsionas’ work has significantly advanced the understanding and application of Bayesian methods for modeling complex relationships and uncertainties in economic data. His research has contributed to the development of innovative techniques for efficiency and productivity estimation, offering valuable insights into the determinants and dynamics of firm performance across various industries. Tsionas’ contributions to tourism economics have shed light on the dynamics of the tourism industry, including topics such as destination management, hospitality operations, and the economic impact of tourism. Overall, Tsionas’ methodological advancements and empirical analyses continue to shape research agendas and drive innovations in econometrics and tourism economics.

Detecting the Impact of Academics Self-Citations: Fi-Score

AbstractThe academic landscape has witnessed significant transformations in recent years, primarily attributed to advancements in IT tools, which have advantages and drawbacks in the world of publications. The transition from traditional university library searches to the digital era, with access to various information sources such as Pubmed, Scopus, Web of Science and Google Scholar, has revolutionized research practices. Thanks to technology, researchers, academics and students now enjoy rapid and vast information access, facilitating quicker manuscript preparation and boosting bibliometric parameters. To identify authors “self-distorted” bibliometric parameters, different indices following the Hirsch index (h-index) (based on citations) have been proposed. The new “fi-score” evaluates the reliability of citation counts for individual authors and validates the accuracy of their h-index, comparing the number of citations to the h-index value to highlight value that is not within the norm and probably influenced or distorted by authors themselves. It examines how authors’ citations impact their h-index, although they are not self-citing. The study calculated the fi-score on a sample of 194,983 researchers. It shows that the average value of the fi-score is 25.03 and that a maximum value admissible as good must not exceed 32. The fi-score complements existing indexes, shedding light on the actual scientific impact of researchers. In conclusion, bibliometric parameters have evolved significantly, offering valuable insights into researchers’ contributions. The fi-score emerges as a promising new metric, providing a more comprehensive and unbiased evaluation of scholarly impact. By accounting for the influence of citations and self-citations, the fi-score addresses the limitations of traditional indices, empowering academic communities to recognize better and acknowledge individual contributions.

Measuring research quality in a more inclusive way: Evidence from the UK Research Excellence Framework

Abstract Evidence suggests that common metrics of research quality—e.g. journal publications and citations—are systematically biased against certain groups. But does relying solely on them to evaluate quality lead to lower diversity in academia? In this paper, we start to answer this question by analysing data from the UK’s nationwide research assessment exercise, the Research Excellence Framework. We find that narrowly focussed output-based measures of departmental research quality do indeed negatively correlate with the diversity of departmental staff, while measures of research impact and of the quality of the research environment correlate positively. An aggregate measure that incorporates all three components is therefore likely to better promote staff diversity compared to more narrowly defined output-focused measures. More generally, our results suggest that comprehensive definitions of research quality may be more effective at promoting diversity in academia compared to narrower measures. We further argue that funding decisions informed by broader measures result in more efficient resource allocations across the higher education sector.

Beyond templates: methodological reporting practices and their impact in qualitative service research

PurposeThe study aims to promote the use of qualitative methods in service research by investigating how these methods are reported in service journals, how the level of reporting has evolved and whether methodological reporting influences the downloads or citations received by qualitative articles.Design/methodology/approachMethodological reporting practices were identified through content analysis of 318 qualitative articles published in three major service research journals and comparison with prior methodological literature. Regression analysis was used to test how the level of methodological reporting influences article downloads and citations.FindingsThe study identifies 29 reporting practices related to 9 key methodological reporting areas. The overall level of methodological reporting in published qualitative articles has increased over time. While differences in the level of reporting between service journals persist, they are narrowing. The level of methodological reporting did not influence downloads or citations of qualitative articles.Research limitations/implicationsService scholars using qualitative methods should pay attention to methodological reporting as it can improve the chances of being published. Factors such as theoretical contributions are likely to have a greater influence on article impact than methodological reporting.Originality/valueNo prior study has explored methodological reporting practices across different qualitative methodologies or how reporting influences article impact. For authors, reviewers and editors, the study provides an inventory of reporting practices relevant for evaluating qualitative articles, which should lower barriers for qualitative methods in service research by providing practical guidelines on what to focus on when reporting and assessing qualitative research.

Abstract LB412: BRAFp.G469E hotspot mutation promotes nasopharyngeal carcinoma tumorigenesis with potential druggability

Abstract Nasopharyngeal Carcinoma (NPC) is a distinct type of Epstein-Barr Virus (EBV)-associated head & neck cancer. It is most prevalent in Southeast Asia with a high incidence rate of ~15/100,000. While mutations of the MAPK pathways are found in nearly one-fifth of head & neck squamous cell carcinoma (HNSCC) in Western countries (TCGA-HNSCC Firehose cohort, N=512), and some of which are druggable in HNSCC setting (e.g. MAPK1 and HRAS mutations), we sought to determine the cumulative mutational rate of this potentially druggable pathway in 164 micro-dissected NPC cases using recently published next-generation sequencing data (98 whole-exome and 63 whole-genome-sequenced cases). An overall rate of 9.32% cases of NPC harbored MAPK pathway mutations (16 mutations in 15 tumors). Four genes are recurrently mutated: 4 NRAS (all Q61R/L hotspot mutations), 3 HRAS (G12S, Q61R, S106L), 2 BRAF (R726H, Y647*), and 2 SHC4 (Q519R, A552T) mutations. Among which, both patients bearing BRAF mutations died of NPC, suggestive of the biological importance of BRAF mutations in NPC progression. Prompted by an independent clinical report on an advanced NPC patient with somatic co-mutations of BRAFp.G469E and KRASp.G12D being sensitive to the B-raf/C-raf inhibitor sorafenib, we first examined the biological functions and potential druggability of this particular BRAFp.G469E mutation in NPC, as it represents a hotspot mutation site across 20 cancer types (BRAFp.G469E/A/R/V/* found in 137/70655 pan-cancer samples, cBioPortal). Based on the NPC clinical report, we hypothesized that this BRAFp.G469E hotspot mutation could drive NPC tumorigenesis and might be potentially sensitive to the B-raf inhibitor sorafenib. By ectopic expression of BRAFp.G469E mutation, BRAF-wildtype (wt) and EGFP-control gene into a recently developed Epstein-Barr virus-positive nasopharyngeal carcinoma [EBV(+)NPC] cell line, NPC43, we determined the biological functions of this mutation in NPC. We showed that NPC43-BRAFp.G469E-expressing cells significantly drove a 4-fold increase in 3D tumoroid growth vs. BRAF-wt and EGFP-control cells on day 7 (flat-bottom low attachment plates). Further, wound healing assay demonstrated a significantly higher migration rate of NPC43-BRAFp.G469E cells achieving ~80% wound healing (at 96h) vs. 30% and 10% healing in BRAF-wt and EGFP-control cells. Lastly, our preliminary drug study showed that NPC43-BRAFp.G469E cells displayed higher sensitivity to low dose sorafenib (33.3nM and 100nM) than BRAF-wt and EGFP-control cells, achieving ~20% and 30% growth inhibition at 72h, vs. no growth inhibition in control cells. Thus, BRAFp.G469E hotspot mutation can drive NPC tumorigenesis, and may confer sensitivity to raf inhibitors such as sorafenib in NPC. Potential druggability of other BRAF mutations in NPC should be investigated. Acknowledgements: The study was supported by Research Impact Fund (R4015-19F), Research Grants Council, University Grants Committee, Hong Kong SAR during 6/29/20-9/7/21. Citation Format: Chun Ho Law, Zoey Wing Yee Liu, Franky Leung Chan, Tin Yu Samuel Law, Vivian W.Y. Lui. BRAFp.G469E hotspot mutation promotes nasopharyngeal carcinoma tumorigenesis with potential druggability [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB412.

Same model, same data, but different outcomes: Evaluating the impact of method choices in structural equation modeling

AbstractScientific research demands robust findings, yet variability in results persists due to researchers' decisions in data analysis. Despite strict adherence to state‐of the‐art methodological norms, research results can vary when analyzing the same data. This article aims to explore this variability by examining the impact of researchers' analytical decisions when using different approaches to structural equation modeling (SEM), a widely used method in innovation management to estimate cause–effect relationships between constructs and their indicator variables. For this purpose, we invited SEM experts to estimate a model on absorptive capacity's impact on organizational innovation and performance using different SEM estimators. The results show considerable variability in effect sizes and significance levels, depending on the researchers' analytical choices. Our research underscores the necessity of transparent analytical decisions, urging researchers to acknowledge their results' uncertainty, to implement robustness checks, and to document the results from different analytical workflows. Based on our findings, we provide recommendations and guidelines on how to address results variability. Our findings, conclusions, and recommendations aim to enhance research validity and reproducibility in innovation management, providing actionable and valuable insights for improved future research practices that lead to solid practical recommendations.

Bibliometric insights into data mining in education research: A decade in review

This bibliometric study on data mining in education synonymous with big educational data utilizes VOSviewer and Harzing’s Publish and Perish to analyze the metadata of 1,439 journal articles found in Scopus from 2010 to 2022. As bibliometric analyses in this field are lacking, this study aims to provide a comprehensive outlook on the current developments and impact of research in this field. This study employs descriptive and trends analysis, co-authorship analysis, co-citation analysis, co-occurrences of keywords, terms map analysis, and analysis of the impact and performance of publications. It also partially replicates a similar study conducted by Wang et al. (2022), who used the Web of Science (WoS) database. The study is reported in an article entitled ‘Big data and data mining in education: A bibliometrics study from 2010 to 2022’. Results show that data mining in education is a growing research field. There is also a significant difference between the publications in Scopus and WoS. The study found several research areas and topics, such as student academic performance prediction, e-learning, machine learning, and innovative data mining techniques, to be the core basis for collaborating and continuing current research in this field. These results highlight the importance of continuing research on data mining in education, guiding future research in tackling educational challenges.

277 Translating for equity impact: A community-engaged approach to integrate health equity into the Translational Science Benefits Model

OBJECTIVES/GOALS: The Translational Science Benefits Model (TSBM) offers an approach for evaluating research impact on public health and society. Since its development in 2017, there has been an increased focus on science’s impacts on equity. This poster describes efforts to integrate equity into the TSBM. METHODS/STUDY POPULATION: Adaptation of the TSBM includes 3 phases: 1) literature scan of equity impacts, 2) community engagement listening sessions, and 3) model refinement. First, we conducted a scan of the clinical and translational sciences literature for articles that measured equity impacts associated with the TSBM. From the articles, we extracted both equity considerations related to existing TSBM benefits and potential equity-focused benefits. Next, we will present the dimensions of new and existing benefits to several community member panels engaged in research and evaluation. We will use their input to prioritize and refine adaptations to the model (phase 3). RESULTS/ANTICIPATED RESULTS: Our literature scan identified equity dimensions of the original 30 TSBM benefits and 15 potential benefits for inclusion in the model, including community partnerships, community capacity building, workforce development, and social determinants of health, among others. To ensure that community priorities also inform identification of equity impacts of clinical and translational research, we will review and refine the model through a series of community engagement sessions planned for Fall 2023. The sessions will inform final adaptations, which will result in an expanded approach evaluating the impact of scientific activities to include impacts on health equity. DISCUSSION/SIGNIFICANCE: The TSBM provides a framework for clinical and translational scientists to plan for, track, and demonstrate the broader impacts of their work. Including equity impacts can help increase consideration of equity in science and help to more clearly make the link between research and equity impact.

Research Productivity and Publishing Trends in Publicly Funded Social Work and Psychology Schools in India: A Bibliometric Analysis

There is a growing emphasis on research across disciplines, and higher educational institutions’ research productivity (RP) is a matter of serious consideration. However, a knowledge gap exists in RP in research productivity in social science disciplines in India. In this context, the present study aimed to (1) understand the RP of social work and psychology schools at publicly funded central universities (CU) in India, (2) evaluate the RP and research impacts of faculty members in these schools, and (3) identify the publishing trends and patterns in social work and psychology disciplines. Using the Scopus database, we collected bibliometric information on publications of 19 social work and 16 psychology schools and their faculty members. The results indicate that schools’ research productivity remained unpromising, constituting many faculty members (Social work 51.08%; Psychology 43.4%) with no publications. Although the average RP of social work ( M = 16.0, SD = 17.40) and psychology ( M = 45.63, SSD = 61.08) schools differed, the difference was not statistically significant ( t = 1.88, p = .078). An increase in the publication was evident after 2016, indicating positive-policy impacts. A difference in RP across professional ranks was evident for social work ( p < .05) but not for psychology ( p > .05). For research impact, a difference existed based on ranks for academicians from psychology only ( p < .05). Publications in high-impact journals and an output of international collaborations remained low in both disciplines. Implications point to developing appropriate workshops and training to provide hands-on experience to improve quality research among academicians. Further policy changes are also essential to enhance research culture and productivity.

Constructing A Climate-Smart readiness index for smallholder farmers: The case of prioritized bundles of climate information services and climate smart agriculture in Ghana

Issues around bundling of climate smart agriculture (CSA) and climate information services (CIS) have been kept relatively distinct whereas in reality, they are more impactful when integrated. Using the case of the Accelerating Impacts of CGIAR Climate Change Research in Africa (AICCRA) Project that emphasizes bundling as a critical component of research in development, six regions of Ghana were purposively selected based on the identified value chain crops for implementation. 120 respondents including practicing farmers and advisors as reference, rated contributions of 21 innovations to 25 climate smartness indicators. These include gender, youth and social inclusion (GSI), enabling environment (EE), ability to enhance soil, water, crop and animal health (One-Health Achievement) (OHA), end-user friendliness (EUF) and climate smart agriculture (CS) for prioritization, bundling and ultimately to construct a Climate Smart Readiness Index (CSRI). There was a high level of concordance between the ratings of farmers and advisors on the Climate Smartness; moderate concordance on OHA and a lower concordance on GSI. The CS and EUF had a significant and same agreement among farmers while EE had a substantial same agreement among advisors. These elements (CS, GSI, OHA, EUF, EE) formed an integral part of the CSRI construct confirmed by the Fornell-Larcker and the Heterotrait-Monotrait criteria. While OHA was the fundamental factor in determining CSRI for farmers, EE was considered more important by the advisors. CSRI informs policy makers and agricultural practitioners on appropriate bundling of CSA and CIS practices to generate evidence for farmer preparedness in the context of resilience, productivity, adaptation, and mitigation.

Supporting the next generation of prevention research leaders to conduct effective research-policy partnerships.

Successful research-policy partnerships rely on shared vision, dedicated investment, and mutual benefits. To ensure the ongoing value of chronic disease prevention research, and support research translation and impact, Australia needs funding, university, and policy systems that incentivise and support emerging leaders to drive effective partnerships.

284 Co-Creation in Action: Design and Implementation of a Studio to Increase Inclusion in Research

OBJECTIVES/GOALS: The goal of theIntegrating Special Populations (ISP) Studiosis tointegrate communityvoice into research design and en hance diversity, equity, and inclusion in research, and disseminate findings in ways that improve health literacy and equity. METHODS/STUDY POPULATION: Based on the Vanderbilt Community Engagement Studio model, the ISP Studiowas designed through multiple phases, including Designand PilotStudioSessions. Stakeholders were diverse representatives of community and academic organizations serving special populations, as well asself-identified persons within special populations as defined by the NIH.Each phase of development and implementation of the Studio included an evaluation consisting of Likert scale and open-ended survey questions for process improvement and to integrate voices of the ISP community continuously. Demographic information and program outcomes were also collected via the evaluation survey. RESULTS/ANTICIPATED RESULTS: All Design Session (N=9) and Pilot Studio (N=10) participants indicated that the Design and Pilot were positive, relevant, bidirectionally useful, and fostered respect, trust, and inclusion. 100% of the panel strongly agreed the Studio met its goals and that the ISP Studios have potentialtobenefitspecial and under represented populations. Qualitative data and discussion on design will also be shared. Additi onaland relevant pointsincludepanelisttraining,compensation for community panelists, and ensuring accessibility. Evaluation outcomes from initial implementation of the ISP Studio will be discussed. DISCUSSION/SIGNIFICANCE: The ISP Studio is an innovative model that may increase engagement of special populations in the research process through co-creation and integration of lived experiences.It has the potential to improve research design, implementation, and impact.

223 Enhancing the Impact of a Community Feedback Session Service Through Ongoing Evaluation

OBJECTIVES/GOALS: UNC-Chapel Hill’s CTSA implemented a community feedback session (CFS) service to help researchers gather actionable, authentic, and constructive feedback on their projects from community experts. Simultaneously, we conducted an ongoing, participatory evaluation process to improve the experience for researchers and community members. METHODS/STUDY POPULATION: Informed by the Community Engagement Studio model (Yoosten, 2015), a CFS is a 2-hour consultative session that includes facilitated discussion with community experts around topics or questions posed by a research team. UNC-Chapel Hill’s CTSA staff conducted 7 CFSs during the pilot phase of the service and collected evaluation surveys from researchers and community experts. We held a data party – a participatory evaluation method – to analyze and interpret survey data. Resulting recommendations were used to improve CFS materials and processes. We conducted 11 CFSs after the pilot phase, then analyzed survey data again to gauge improvement and make further adjustments to the service. We also surveyed researchers three months after their last CFS to assess the impact of community experts’ feedback on their studies. RESULTS/ANTICIPATED RESULTS: Since January 2022, 108 community experts have participated in 18 CFSs spanning 9 research projects. Data party interpretations of pilot evaluation data yielded several changes in service delivery; since those changes were instituted, all researchers have highly rated the service, unanimously recommending it to colleagues. Researchers praised well-structured sessions and productive engagement, citing direct benefits to their work and significant impact on recruitment processes 3 months post CFS. Community experts also echoed satisfaction, with 100% finding CFSs worthwhile and 95% desiring to participate again, emphasizing the sessions' supportive atmosphere. A community expert reported that the sessions 'made me feel seen and allowed for a greater understanding of what I have been dealing with.' DISCUSSION/SIGNIFICANCE: The CFS model allows research teams to elicit rapid and meaningful community input, which is key to improving research relevance and impact. Ongoing participatory evaluation of the service ensures continuous improvement, yielding more meaningful interactions and studies that reflect the perspectives of people affected by the research.

Gender biases in the evaluation of knowledge transfer: A meta-evaluative analysis of the Spanish “Knowledge Transfer and Innovation Sexennium”

This paper analyses from a gender perspective a pilot call for evaluating academics and researcher transfer and innovation activities, launched by the Spanish Government in 2018, known as the “Knowledge Transfer & Innovation Sexennium” (KT&IS). Not only women’s participation was much lower than that of men (1 woman applicant for every 3 men applicants), but also, they showed lower success rates than men in all scientific fields, with an average gap of more than 13 points. The methodology combined an exploratory quantitative analysis of the almost 17,000 applications, with a meta-evaluative qualitative analysis through interviews to key actors of the evaluation program and focus groups with evaluators. Hidden biases operating throughout and in each of the different phases of the KT&IS evaluation process were identified. This article aims at contributing to how economic and social impact of research can be fairly and fully evaluated, as well as at facilitating the design of future evaluation calls that promote the effective advancement of gender equality in all science-related activities and transfer to society.

187 Translating for Impact: a free online toolkit for demonstrating the larger impact of your work

OBJECTIVES/GOALS: The Translational Science Benefits Model offers an approach for evaluating the downstream health and social impact of research. Using the new Translating for Impact Toolkit of nine web-based tools, researchers can create free, secure accounts to plan, track, and demonstrate the impact of their work. METHODS/STUDY POPULATION: Development of the online toolkit includes 6 phases: 1) Review of existing tools, 2) Development of fillable PDF tool prototypes, 3) Pilot testing, 4) Development of web-based tools, 5) Usability testing, and 6) Refinement of web-based tools. First, we reviewed existing tools for measuring research impact. We then created prototypes of nine tools, published on the TSBM website, and pilot tested with researchers. Based on feedback and testing, we developed and launched web-based versions of the tools. We are currently conducting usability testing with researchers, which we will use to evaluate the ease-of-use and quality of the tools, identify areas for improvement, and refine the tools. RESULTS/ANTICIPATED RESULTS: Researchers can sign up for user accounts, create projects, invite collaborators and program administrators, and save progress as the complete the nine tools in the Translating for Impact Toolkit. The tools are divided into three steps: Plan (Roadmap to Impact, Benefits 2x2, Partner Mapper, and Team Manager), Track (Impact Tracker), and Demonstrate (Product Navigator, Case Study Builder, Impact Profile, and Dissemination Planner). The toolkit also includes a dashboard that provides a quick snapshot of translational impact for each project. The toolkit will help both individual translational scientists demonstrate the impact of their work and CTSA hubs evaluate impact of their projects. DISCUSSION/SIGNIFICANCE: The TSBM online toolkit is a free, secure, easy-to-use platform researchers can use to plan for, track, and demonstrate the impacts of their work. The toolkit provides a structured process that will help the next generation of scientists prioritize and promote translational impact in their work.