Relevant bibliographies by topics / Research risk

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Research risk'

Author: Grafiati
Published: 14 March 2023

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Journal articles on the topic "Research risk"

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Case, Stephen, and Kevin Haines. "Risky business? The risk in risk factor research." Criminal Justice Matters 80, no. 1 (June 2010): 20–22. http://dx.doi.org/10.1080/09627251.2010.482234.

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Riyard, Ag Kaifah. "Risk Disclosure Research Trends: Bibliometric Evaluative Study." International Journal of Psychosocial Rehabilitation 24, no. 5 (March 31, 2020): 1112–27. http://dx.doi.org/10.37200/ijpr/v24i5/pr201786.

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CIOACA, Catalin, and Sebastian POP. "RISK PLANNING IN AVIATION SCIENTIFIC RESEARCH PROJECTS." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 18, no. 1 (June 24, 2016): 139–48. http://dx.doi.org/10.19062/2247-3173.2016.18.1.18.

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PERRE, JANINE. "Risk research." Nature 333, no. 6168 (May 1988): 9. http://dx.doi.org/10.1038/333009d0.

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Thiagarajan, S. Ramu, and Barry Schachter. "Risk Parity:Rewards, Risks, and Research Opportunities." Journal of Investing 20, no. 1 (February 28, 2011): 79–89. http://dx.doi.org/10.3905/joi.2011.20.1.079.

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Foster, Kenneth R., and William F. Pickard. "Microwaves: the risks of risk research." Nature 330, no. 6148 (December 1987): 531–32. http://dx.doi.org/10.1038/330531a0.

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Hanson, Daniel R. "No-Risk Research." Contemporary Psychology: A Journal of Reviews 31, no. 7 (July 1986): 498–500. http://dx.doi.org/10.1037/024874.

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Loeb, Abraham. "Rating research risk." Nature 484, no. 7393 (April 2012): 279. http://dx.doi.org/10.1038/nj7393-279a.

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Schooler, Nina. "HIGH RISK RESEARCH." Schizophrenia Research 153 (April 2014): S63. http://dx.doi.org/10.1016/s0920-9964(14)70200-2.

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Lee, Jang Woo. "A Research on Corporate Governance and Risk Taking Behavior." Korean Data Analysis Society 21, no. 6 (December 31, 2019): 2751–60. http://dx.doi.org/10.37727/jkdas.2019.21.6.2751.

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Dissertations / Theses on the topic "Research risk"

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Ehringer, Wolfgang, and Henrik Söderström. "Framing Global Catastrophic Risk - Recent and Future Research." Thesis, Högskolan i Halmstad, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-33354.

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This article is a literature review about global catastrophic risks. Its contribution is to give an overview of the research field in general and highlight the main potential catastrophic areas linked with recent studies. In many movies and TV shows, we can see our civilization collapse in various ways: Gigantic asteroids hit the earth and obliterate all life, nuclear wars emerge, artificial intelligence evolves and starts wars with humans, pandemics spread, and other kinds of catastrophic events with mass death or extinction of all life happen. Thus, even if these are extreme events and fiction, we should raise the question how likely it is that one or more of these events can occur in the near and far future. Although calculated probabilities of impact are low for the future such as tomorrow, in 10, 100 or a million years from now, this could actually be reality. Nevertheless, why should we care about the risks of these global catastrophic events today and what could be done to prevent or reduce the risk of a global catastrophe? In this paper we will discuss core content, such as different risks and ways to reduce them internationally, as well as the scientific context of the field. In fact, there are events that can be catastrophic on a global scale and happen in the near future, even if we do not know exactly when. Hence, specific risk assessment and proper mitigation strategies are necessary in order to maintain the human population. This article states that serious research is a basis for decision makers in particular, who invest funds in countermeasures.
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Hansen, Richard L. "Risk-based fire research decision methodology." Link to electronic version, 1999. http://www.wpi.edu/Pubs/ETD/Available/etd-051399-154048/unrestricted/thesis.pdf.

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Tipling, Laurie. "Risk and Resilience in Young Children." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 1993. http://hdl.handle.net/10150/622367.

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Lauprête, Geoffrey J. (Geoffrey Jean) 1972. "Portfolio risk minimization under departures from normality." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/8303.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2001.
Includes bibliographical references (p. 206-210).
This thesis revisits the portfolio selection problem in cases where returns cannot be modeled as Gaussian. The emphasis is on the development of financially intuitive and statistically sound approaches to portfolio risk minimization. When returns exhibit asymmetry, we propose using a quantile-based measure of risk which we call shortfall. Shortfall is related to Value-at-Risk and Conditional Value-at-Risk, and can be tuned to capture tail risk. We formulate the sample shortfall minimization problem as a linear program. Using results from empirical process theory, we derive a central limit theorem for the shortfall portfolio estimator. We warn about the statistical pitfalls of portfolio selection based on the minimization of rare events, which happens to be the case when shortfall is tuned to focus on extreme tail risk. In the presence of heavy tails and tail dependence, we show that portfolios based on the minimization of alternative robust measures of risk may in fact have lower variance than those based on the minimization of sample variance. We show that minimizing the sample mean absolute deviation yields portfolios that are asymptotically more efficient than those based on the minimization of the sample variance, when returns have a multivariate Student-t distribution with degrees of freedom less than or equal to 6. This motivates our consideration of other robust measures of risk, for which we present linear and quadratic programming formulations.
(cont.) We carry out experiments on simulated and historical data, illustrating the fact that the efficiency gained by considering robust measures of risk may be substantial. Finally, when the number of return observations is of the same order of magnitude as, or smaller than, the dimension of the portfolio being estimated, we investigate the applicability of regularization to sample risk minimization. We examine both L1- and L2-regularization. We interpret regularization from a Bayesian perspective, and provide an algorithm for choosing the regularization parameter. We validate the use of regularization in portfolio selection on simulated and historical data, and conclude that regularization can yield portfolios with smaller risk, and in particular smaller variance.
by Geoffrey J. Lauprête.
Ph.D.
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Zhang, Yi, and 张一. "Identifying risk factors for suicide research and prevention." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hub.hku.hk/bib/B50533782.

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Research on risk factor for suicidal behaviors has been broadly conducted to enhance knowledge of suicide prevention. However, there are still challenges for risk factor research. Four major research gaps have been identified: (1) uncertain effectiveness of the population approach versus the high-risk approach for suicide prevention; (2) lack of a valid and convenient Chinese-version screening tool for the severity of suicidal ideation among adolescents; (3) demand for testing the prospective associations of risk factors with suicidal ideation using a longitudinal designed population-based sample; and (4) necessity of pathway analysis to explore and confirm how risk factors interact with each other and lead to suicidality. This thesis aims to address these gaps through a combination of five studies. Study 1 introduces an illness and death model to suicide prevention research. Elasticity and sensitivity analyses were performed. The findings revealed that the control of suicide incidence among the healthy population is the most effective prevention strategy whereas treatment of mental illness appears to be the least effective approach to suicide prevention. Study 2 validates the psychometric properties of the Chinese versions of Reynolds’s Suicidal Ideation Questionnaire (SIQ) and Suicidal Ideation Questionnaire Junior (SIQ-JR, a short version of the SIQ) in a sample of Hong Kong adolescents. A short, four-item version of the SIQ-JR has been suggested as an alternative to the SIQ and the SIQ-JR. Study 3 identifies the history of psychiatric treatment, depression, anxiety, hopelessness, unstable marital status, poor economic circumstance, and a recent death of a first-degree relative as significant risk factors for the incidence of suicidal ideation. The associations of change in risk factors with the development of suicidal ideation have been tested. There are gender and age differences in the patterns of such associations. Study 4 focuses on psychological factors associated with the first-ever incidence of suicidal ideation. Psychological factors have been detected generally to differ in their associations with the incidence and persistence of suicidality. The idea that depression partially mediates the effect of average life distress on the persistence of suicidal ideation has clinical value. Study 5 introduces and tests a stressor and illness model as a theoretical framework reference for future risk factor research. Risk factors are classified into stressor, illness, and pattern factors. Both the simple and complex models are tested. Evidence supported the proposed mediating role of mental disorders between negative life events and severity of suicidal ideation. A gender-specific pattern of associations between stressors, illness, and severity of suicidal ideation has also been detected. This thesis has made substantial theoretical, psychometric, and empirical contributions to the existing knowledge of suicide research.
published_or_final_version
Social Work and Social Administration
Doctoral
Doctor of Philosophy
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Wang, Jiong J. (Jiong John). "Research and Development of risk arbitrage trading systems." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33385.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (leaf 42).
The risk arbitrage investment process involves betting on the outcome of announced mergers and acquisitions. We analyzed a sample of 1309 stock and cash mergers from 1996 to 2004 Q2 and developed insights into the risk arbitrage process. We found share price reactions for both the acquirer and target companies as a result of the merger announcement and compared these to factors such as type of merger, premium paid by the acquirer for the target, relative size of the deal to the size of the acquirer and target, and deal consummation time. We utilized this information to develop a merger return prediction model that predicts a merger's return given various deal characteristics. We constructed several portfolios, one using a trading strategy in which we invest equally in every announced deal, one where we invest only in deals that have a predicted return higher than two times the T-Bills rate, one where we invest in deals that have a predicted return higher than 0, and one where we invest in deals with a predicted return higher than one standard deviation of the predicted returns. A subsequent out of sample analysis of' generating a predicted return model using data from 1996 to 1999 and predicting returns from 2000 to 2004 Q2 produces returns of 4.96%, 3.14%, and 5.87% for our three portfolios compared with 1.74% generated from investing in all deals from 2000 to 20)4 Q2.
(cont.) Our study shows that our strategy focuses mainly on cash deals but our strategy still makes improvements in the Sharpe Ratio despite this limitation. Our analysis provides insights into mergers and how the market prices such deals. Furthermore, the trading strategies employed can be used as a basis for constructing a profitable risk arbitrage trading platform.
by Jiong J. Want.
M.Eng.
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Clements, Caroline. "Suicidal behaviour in bipolar disorder : a multiple-methods investigation of the characteristics, risk factors, and experiences of people at risk." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/suicidal-behaviour-in-bipolar-disorder-a-multiplemethods-investigation-of-the-characteristics-risk-factors-and-experiences-of-people-at-risk(281cc841-ff23-4622-897d-01491bd2c80b).html.

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Background: Suicide prevention strategies recognise the need to address suicide in high-risk groups, such as people with psychiatric illness. People with bipolar disorder are known to be at particularly high risk of suicide and self-harm, with around half of people diagnosed with bipolar disorder making at least one suicide attempt during their lifetime. It is important that clinicians can identify who is most at risk among people with bipolar disorder so that interventions that meet the needs of this high risk group can be implemented. Method: A multiple-methods approach was used to explore suicidal behaviour in bipolar disorder. Descriptive analysis, case-control methods, and survival analysis were used on data held by The National Confidential Inquiry into Suicide and Homicide by People with Mental Illness (NCI), and the Manchester Self-Harm (MaSH) Project, to identify characteristics and risk factors associated with suicide in bipolar disorder. Semi-structure interviews were carried out with people who had a range of experiences of suicidal behaviour in bipolar disorder, and these data were analysed using Thematic Analysis to add context and depth to the quantitative results. Results: Suicidal behaviours were common in people with bipolar disorder, accounting for around 10% of all psychiatric suicide deaths in England; this rate was fairly stable over time. Characteristics associated with suicidal behaviour in bipolar disorder included; being aged 45 to 64 years old, experiencing negative life events, comorbid alcohol use, multiple inpatient admissions; there was a particularly strong association with a history of self-harm. It is clinically important that people with bipolar disorder were often seen by services in the 24 hours before they died. This both emphasises the weaknesses in current risk assessment, and highlights the potential for successful intervention if risk can be determined more accurately. Key issues identified in the interview study included being able to access care rapidly during time periods when risk was elevated, the importance of obtaining a correct diagnosis of bipolar disorder, and the potential benefits of including family in the care of people with bipolar disorder. Conclusion: Suicidal behaviours are common in people with bipolar disorder. People with bipolar disorder who die by suicide tend to have several markers that may indicate a more severe (e.g. multiple inpatient admission, history of self-harm) and complex course of illness (e.g. comorbid alcohol use, personality disorder). Diagnosis-specific risk assessment is needed to better identify risk of suicide in an illness that is often characterised by fluctuating mood states. Family involvement in care may aid detection of increased suicide risk.
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Davis, Stephen. "Mathematical modelling and risk management in deregulated electricity markets." Master's thesis, University of Cape Town, 2005. http://hdl.handle.net/11427/19139.

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In this thesis we aim to explore how electricity generation companies cope with the transition to a competitive environment in a newly deregulated electricity industry. Analyses and discussions are generally performed from the perspective of a Generator/Producer, otherwise they are undertaken with respect to the market as a whole. The techniques used for tackling the complex issues are diverse and wide-ranging as ascertained from the existing literature on the subject. The global ideology focuses on combining two streams of thought: the production optimisation and equilibrium techniques of the old monopolistic, cost-saving industry and; the new dynamic profit-maximising and risk-mitigating competitive industry. Financial engineering in a new and poorly understood market for electrical power must now take place in conjunction with - yet also constrained by - the physical production and distribution of the commodity.
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Moodley, Aneshree. "Methamphetamine use and HIV risk among severely mentally ill inpatients." Master's thesis, University of Cape Town, 2013. http://hdl.handle.net/11427/10989.

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Includes bibliographical references.
Sub-Saharan Africa accounts for 69% of the global HIV burden. Due to a variety of social, economic and behavioural factors, mentally ill patients are more likely to engage in high risk sexual behaviours. In turn, co-morbid substance use which is present in up to 75% of mentally ill patients is a leading risk factor for sexual risk behaviours. Worldwide methamphetamines are the most commonly used illicit stimulant. Both injectable and noninjectable methamphetamines have evidenced associations with high risk sexual behaviours. Smoking and inhalation of crystal methamphetamine is the predominant mode of use in South Africa. The use of crystal methamphetamine amongst mentally ill persons in Cape Town has escalated over the last decade. We aimed to determine the occurrence of methamphetamine use and risky sexual practices amongst mentally ill patients. In addition we aimed to explore the associations between methamphetamine use and HIV sexual risk behaviours in a sample of mentally ill inpatients in Cape Town, South Africa.
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Kellow, A. "Research into market measures of political risk and risk diversification as a motive direct investment." Thesis, University of Manchester, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.377747.

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Books on the topic "Research risk"

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Kearnes, Matthew, Francisco Klauser, and Stuart Lane, eds. Critical Risk Research. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119962748.

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Leary, Earl V. Earthquakes: Risk, monitoring and research. New York: Nova Science, 2009.

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Simonsen, Sigmund. Acceptable Risk in Biomedical Research. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2678-9.

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National Institute of Environmental Health Sciences., ed. Basic research in risk assessment. Research Triangle Park, N.C: U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, National Institute of Environmental Health Sciences, 1987.

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P, Griffin J., D'Arcy P. F. 1927-, and Harron D. W. G, eds. Medicines: Regulation, research and risk. Belfast: Queen's University, 1989.

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Health Effects Research Laboratory (Research Triangle Park, N.C.), ed. Health research to support risk assessment. Research Triangle Park, NC: Health Effects Research Laboratory, U.S. Environmental Protection Agency, 1992.

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Michalko, James. Research libraries, risk and systemic change. Dublin, Ohio: OCLC Research, 2010.

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Health Effects Research Laboratory (Research Triangle Park, N.C.), ed. Health research to support risk assessment. Research Triangle Park, NC: Health Effects Research Laboratory, U.S. Environmental Protection Agency, 1992.

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National Biological Impact Assessment Program (U.S.). Risk assessment research, 1992-1994: An overview of the USDA biotechnology risk assessment research grants program. Washington, DC: U.S. Dept. of Agriculture, Cooperative State Research, Education, and Extension Service, 1995.

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United States. Environmental Protection Agency. Office of Research and Development., ed. Ecological research strategy. Washington, D.C: U.S. Environmental Protection Agency, Office of Research and Development, 1998.

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Book chapters on the topic "Research risk"

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Hoffmann, Christian Hugo. "Research Questions." In Assessing Risk Assessment, 73–74. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-20032-9_4.

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Ye, Qian. "Research Programme." In Integrated Risk Governance, 19–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31641-8_3.

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Bąk, Sylwia, and Piotr Jedynak. "Research methodology." In Risk Management Maturity, 38–44. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003330905-4.

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Rohrmann, Bernd, and Ortwin Renn. "Risk Perception Research." In Cross-Cultural Risk Perception, 11–53. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4757-4891-8_1.

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Badiru, Adedeji B. "Research Risk Analysis." In Project Management for Scholarly Researchers, 123–35. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003212911-9.

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Lane, Stuart N. "Ethical Risk Management, but Without Risk Communication◊." In Critical Risk Research, 149–72. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119962748.ch8.

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Cordner, Alissa. "Risk." In Handbooks of Sociology and Social Research, 167–87. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77712-8_9.

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Davies, Sarah R., Brian R. Cook, and Katie J. Oven. "‘Risk’ in Field Research." In Critical Risk Research, 59–75. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119962748.ch4.

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Scheffers, Anja M., Sander R. Scheffers, and Dieter H. Kelletat. "Coasts at Risk." In Coastal Research Library, 239–86. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-0738-2_8.

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Horisberger, Bruno, and Rolf Dinkel. "Risk Perception Analysis." In Health Systems Research, 172–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74272-9_24.

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Conference papers on the topic "Research risk"

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Rahim, Norhana Abd, and Fauziah Hanim Tafri. "Measuring risk charge for market risks." In 2010 International Conference on Science and Social Research (CSSR). IEEE, 2010. http://dx.doi.org/10.1109/cssr.2010.5773877.

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Huang, Wei, Junyan Jin, and Shoujian Zhang. "PFI Risk Management Research." In ICCREM 2015. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479377.086.

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Chiara, Nicola. "Infrastructure Risk Management in Renewable Energy Projects Using Risk Flexibility Theory." In Construction Research Congress 2009. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41020(339)119.

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Esmaeili, Behzad, and Matthew Hallowell. "Attribute-Based Risk Model for Measuring Safety Risk of Struck-By Accidents." In Construction Research Congress 2012. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412329.030.

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Liu, Zhixue, Ronggui Ding, Lei Wang, Rui Song, and Xinyi Song. "Making Project Risk Response Decisions through Stakeholders’ Impact on Project Risk Interaction." In Construction Research Congress 2022. Reston, VA: American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784483978.081.

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Shandala, N. K., N. Ya Novikova, M. P. Semenova, S. M. Kiselev, E. G. Metlyaev, A. A. Filonova, and S. V. Akhromeev. "Radioactivity in foodstuffs after the Chernobyl accident – 20 years research." In ENVIRONMENTAL HEALTH RISK 2009. Southampton, UK: WIT Press, 2009. http://dx.doi.org/10.2495/ehr090351.

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Zhang, Xing-nan, Wen-ting Zhang, Shao-wei Qiu, and Rui-ling Zhang. "Research on Integrated Flooding Risks and Flooding Risk Mapping." In World Environmental and Water Resources Congress 2008. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40976(316)626.

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Dao, Bac, Sogand Hasanzadeh, and Behzad Esmaeili. "The Association between Risk Perception and the Risk-Taking Behaviors of Construction Workers." In Construction Research Congress 2018. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481288.042.

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Kim, Seon-Gyoo, Jae-Jun Kim, and Kyung-Rai Kim. "A Risk Threshold Calculation Methodology for the Construction Projects Applying Value at Risk." In Construction Research Congress 2005. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40754(183)65.

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Lopatin, Artur Dmitrievich. "Mortgagor default risk insurance." In III International applied research conference. TSNS Interaktiv Plus, 2016. http://dx.doi.org/10.21661/r-113734.

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Reports on the topic "Research risk"

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Ek, David R. Risk Based Security Management at Research Reactors. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1222990.

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Ehrhart, Brian, and Alice Muna. Identification of Hydrogen Material Risk Research Areas. Office of Scientific and Technical Information (OSTI), April 2019. http://dx.doi.org/10.2172/1761274.

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Maley, William. Research as an Outsider: Positionality, Ethics, and Risk. RESOLVE Network, December 2021. http://dx.doi.org/10.37805/rve2021.7.

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Outsiders—or “foreigners”—who study violent extremism in affected countries can have multiple iden- tities as students of violent extremism, as students of the countries in question, and as “foreigners” to the contexts they study. They often have long-standing personal relationships with local community members and in some cases they have spent more time living in the countries they study than in their countries of nationality. Yet they inhabit an ambiguous space, being “insiders” in the eyes of some, and “outsiders” in the eyes of others. This ambiguity gives rise to both practical and ethical challenges in undertaking fieldwork. The following reflections draw on the author’s own experiences to illustrate some of the complexities associated with positionality, ethics, and risk as well as important considerations that all researchers should take into account when undertaking fieldwork in a country other than their own.
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Donahue, Leah R. Mouse Models for Bone Research to Assess Military Stress Fracture Risk. Fort Belvoir, VA: Defense Technical Information Center, April 2005. http://dx.doi.org/10.21236/ada443570.

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Kondoh, Takayuki, Tomohiro Yamamura, and Satoshi Kitazaki. Research on Quantification of Drivers' Risk Feelings When Proceeding Car Approaches. Warrendale, PA: SAE International, September 2005. http://dx.doi.org/10.4271/2005-08-0478.

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Galizia, Federico, William Perraudin, Andrew Powell, and Timothy Turner. Research Insights: Risk Transfer for Multilateral Development Banks: Obstacles and Potential. Inter-American Development Bank, January 2022. http://dx.doi.org/10.18235/0003931.

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La transferencia de riesgo se refiere a un conjunto de técnicas que permiten a los Bancos Multilaterales de Desarrollo (BMDs) transferir riesgos de su balance, liberando espacio para más préstamos a los países en vías de desarrollo a bajas tasas de interés. Existe el potencial para un uso más amplio de la transferencia de riesgo, que complementa otros aumentos de capital de los BMDs de los accionistas. Sin embargo, hay diversos obstáculos que limitan las posibilidades de transferencia de riesgos. Por esto, proporcionamos recomendaciones específicas a los responsables internacionales de las políticas para desbloquear el potencial de estas técnicas.
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Gaver, Donald P., and Patricia A. Jacobs. Proposal for Research in Quantitative Bioassay Methodology and Risk Analysis and Characterization. Fort Belvoir, VA: Defense Technical Information Center, September 1994. http://dx.doi.org/10.21236/ada290329.

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Gaver, Donald P. Proposal for Research in Quantitative Bioassay Methodology and Risk Analysis and Characterization. Fort Belvoir, VA: Defense Technical Information Center, September 1995. http://dx.doi.org/10.21236/ada316819.

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Veugelers, Reinhilde, Jian Wang, and Paula Stephan. Do Funding Agencies Select and Enable Risky Research: Evidence from ERC Using Novelty as a Proxy of Risk Taking. Cambridge, MA: National Bureau of Economic Research, August 2022. http://dx.doi.org/10.3386/w30320.

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Souleyrette, R. R. II, S. K. Sathisan, and R. di Bartolo. Yucca Mountain transportation routes: Preliminary characterization and risk analysis; Volume 1, Research report. Office of Scientific and Technical Information (OSTI), May 1991. http://dx.doi.org/10.2172/140758.

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