Academic literature on the topic 'Social change – Forecasting'
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Journal articles on the topic "Social change – Forecasting"
Smith, Herbert L. "The social forecasting industry." Climatic Change 11, no. 1-2 (1987): 35–60. http://dx.doi.org/10.1007/bf00138794.
Full textClive Simmonds, W. H. "Forecasting, social change, and futures in Canada." Technological Forecasting and Social Change 33, no. 4 (July 1988): 297–98. http://dx.doi.org/10.1016/0040-1625(88)90026-1.
Full textBerk, Richard A., and Thomas F. Cooley. "Errors in forecasting social phenomena." Climatic Change 11, no. 1-2 (1987): 247–65. http://dx.doi.org/10.1007/bf00138803.
Full textGraham, Gary, Anita Greenhill, and Vic Callaghan. "Technological Forecasting and Social Change Special Section: Creative prototyping." Technological Forecasting and Social Change 84 (May 2014): 1–4. http://dx.doi.org/10.1016/j.techfore.2013.11.007.
Full textAshraf, Rohail, Muhammad Asif Khan, Rafique Ahmed Khuhro, and Zeeshan Ahmed Bhatti. "Knowledge creation dynamics of technological forecasting and social change special issues." Technological Forecasting and Social Change 180 (July 2022): 121663. http://dx.doi.org/10.1016/j.techfore.2022.121663.
Full textPhillips, Fred. "How to publish your research in Technological Forecasting & Social Change." Technological Forecasting and Social Change 146 (September 2019): 488–90. http://dx.doi.org/10.1016/j.techfore.2019.05.022.
Full textSavin, Ivan. "Evolution and recombination of topics in Technological Forecasting and Social Change." Technological Forecasting and Social Change 194 (September 2023): 122723. http://dx.doi.org/10.1016/j.techfore.2023.122723.
Full textBowonder, B., B. Muralidharan, and T. Miyake. "Forecasting technological change: insights from theories of evolution." Interdisciplinary Science Reviews 24, no. 4 (April 1999): 275–88. http://dx.doi.org/10.1179/030801899678948.
Full textSolodov, S. V., I. B. Mamai, and S. V. Pronichkin. "Framing regional innovation and technology policies for transformative change." IOP Conference Series: Earth and Environmental Science 981, no. 2 (February 1, 2022): 022007. http://dx.doi.org/10.1088/1755-1315/981/2/022007.
Full textSalomon, Ilan. "Technological change and social forecasting: the case of telecommuting as a travel substitute." Transportation Research Part C: Emerging Technologies 6, no. 1-2 (February 1998): 17–45. http://dx.doi.org/10.1016/s0968-090x(98)00006-0.
Full textDissertations / Theses on the topic "Social change – Forecasting"
Mosime, Bonolo. "The use of traditional weather forecasting by agro-pastoralists of different social groups in Bobirwa sub-district, Botswana." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29536.
Full textMaréchal, Kevin. "The economics of climate change and the change of climate in economics: the implications for climate policy of adopting an evolutionary perspective." Doctoral thesis, Universite Libre de Bruxelles, 2009. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210278.
Full textClimate change is today often seen as one of the most challenging issue that our civilisation will have to face during the 21st century. This is especially so now that the most recent scientific data have led to the conclusion that the globally averaged net effect of human activities since 1750 has been one of warming (IPCC 2007, p. 5) and that continued greenhouse gas emissions at or above current rates would cause further warming (IPCC, 2007 p. 13). This unequivocal link between climate change and anthropogenic activities requires an urgent, world-wide shift towards a low carbon economy (STERN 2006 p. iv) and coordinated policies and measures to manage this transition.
The climate issue is undoubtedly a typical policy question and as such, is considered amenable to economic scrutiny. Indeed, in today’s world economics is inevitable when it comes to arbitrages in the field of policy making. From the very beginning of international talks on climate change, up until the most recent discussions on a post-Kyoto international framework, economic arguments have turned out to be crucial elements of the analysis that shapes policy responses to the climate threat. This can be illustrated by the prominent role that economics has played in the different analyses produced by the Intergovernmental Panel on Climate Change (IPCC) to assess the impact of climate change on society.
The starting point and the core idea of this PhD research is the long-held observation that the threat of climate change calls for a change of climate in economics. Borrowing from the jargon used in climate policy, adaptation measures could also usefully target the academic discipline of economics. Given that inherent characteristics of the climate problem (e.g. complexity, irreversibility, deep uncertainty, etc.) challenge core economic assumptions, mainstream economic theory does not appear as appropriately equipped to deal with this crucial issue. This makes that new assumptions and analyses are needed in economics in order to comprehend and respond to the problem of climate change.
In parallel (and without environmental considerations being specifically the driving force to it), the mainstream model in economics has also long been (and still is) strongly criticised and disputed by numerous scholars - both from within and outside the field of economics. For the sake of functionality, these criticisms - whether they relate to theoretical inconsistencies or are empirically-based - can be subsumed as all challenging part of the Cartesian/Newtonian legacy of economics. This legacy can be shown to have led to a model imprinted with what could be called “mechanistic reductionism”. The mechanistic side refers to the Homo oeconomicus construct while reductionism refers to the quest for micro-foundations materialised with the representative agent hypothesis. These two hypotheses constitute, together with the conjecture of perfect markets, the building blocks of the framework of general equilibrium economics.
Even though it is functional for the purpose of this work to present them separately, the flaws of economics in dealing with the specificities of the climate issue are not considered independent from the fundamental objections made to the theoretical framework of mainstream economics. The former only make the latter seem more pregnant while the current failure of traditional climate policies informed by mainstream economics render the need for complementary approaches more urgent.
2. Overview of the approach and its main insights for climate policy
Starting from this observation, the main objective of this PhD is thus to assess the implications for climate policy that arise from adopting an alternative analytical economic framework. The stance is that the coupling of insights from the framework of evolutionary economics with the perspective of ecological economics provides a promising way forward both theoretically as well as on a more applied basis with respect to a better comprehension of the socioeconomic aspects related to the climate problem. As claimed in van den Bergh (2007, p. 521), ecological economics and evolutionary economics “share many characteristics and can be combined in a fruitful way" - which renders the coupling approach both legitimate and promising.
The choice of an evolutionary line of thought initially stems from its core characteristic: given its focus on innovation and system change it provides a useful approach to start with for assessing and managing the needed transition towards a low carbon economy. Besides, its shift of focus towards a better understanding of economic dynamics together with its departure from the perfect rationality hypothesis renders evolutionary economics a suitable theoretical complement for designing environmental policies.
The notions of path-dependence and lock-in can be seen as the core elements from this PhD research. They arise from adopting a framework which is founded on a different view of individual rationality and that allows for richer and more complex causalities to be accounted for. In a quest for surmounting the above-mentioned problem of reductionism, our framework builds on the idea of ‘multi-level selection’. This means that our analytical framework should be able to accommodate not only for upward but also for downward causation, without giving analytical priority to any level over the other. One crucial implication of such a framework is that the notion of circularity becomes the core dynamic, highlighting the importance of historicity, feedbacks and emergent properties.
More precisely, the added value of the perspective adopted in this PhD research is that it highlights the role played by inertia and path-dependence. Obviously, it is essential to have a good understanding of the underlying causes of that inertia prior to devising on how to enforce a change. Providing a clear picture of the socio-economic processes at play in shaping socio-technical systems is thus a necessary first step in order to usefully complement policy-making in the field of energy and climate change. In providing an analytical basis for this important diagnosis to be performed, the use of the evolutionary framework sheds a new light on the transition towards low-carbon socio-technical systems. The objective is to suggest strategies that could prove efficient in triggering the needed transition such as it has been the case in past “lock-in” stories.
Most notably, the evolutionary framework allows us to depict the presence of two sources of inertia (i.e at the levels of individuals through “habits” and at the level of socio-technical systems) that mutually reinforce each other in a path-dependent manner. Within the broad perspective on path dependence and lock-in, this PhD research has first sketched the implications for climate policy of applying the concept of ‘technological lock-in’ in a systemic perspective. We then investigated in more details the notion of habits. This is important as the ‘behavioural’ part of the lock-in process, although explicitly acknowledged in the pioneer work of Paul David (David, 1985, p. 336), has been neglected in most of subsequent analyses. Throughout this study, the notion of habits has been studied at both the theoretical and applied level of analysis as well as from an empirical perspective.
As shown in the first chapters of the PhD, the advantage of our approach is that it can incorporate theories that so far have been presented opposite, partial and incomplete perspectives. For instance, it is shown that our evolutionary approach not only is able to provide explanation to some of the puzzling questions in economics (e.g. the problem of strong reciprocity displayed by individual in anonymous one-shot situations) but also is very helpful in bringing a complementary explanation with respect to the famous debate on the ‘no-regret’ emission reduction potential which agitates the experts of climate policy.
An emission reduction potential is said to be "no regret" when the costs of implementing a measure are more than offset by the benefits it generates such as, for instance, reduced energy bills. In explaining why individuals do not spontaneously implement those highly profitable energy-efficient investments ,it appears that most prior analyses have neglected the importance of non-economic obstacle. They are often referred to as “barriers” and partly relate to the ‘bounded rationality’ of economic agent. As developed in the different chapters of this PhD research, the framework of evolutionary economics is very useful in that it is able to provide a two-fold account (i.e. relying on both individual and socio-technical sources of inertia) of this limited rationality that prevent individuals to act as purely optimising agents.
Bearing this context in mind, the concept of habits, as defined and developed in this study, is essential in analysing the determinants of energy consumption. Indeed, this concept sheds an insightful light on the puzzling question of why energy consumption keeps rising even though there is an evident increase of awareness and concern about energy-related environmental issues such as climate change. Indeed, if we subscribe to the idea that energy-consuming behaviours are often guided by habits and that deeply ingrained habits can become “counter-intentional”, it then follows that people may often display “locked-in” practices in their daily energy consumption behaviour. This hypothesis has been assessed in our empirical analysis whose results show how the presence of strong energy-consuming habitual practices can reduce the effectiveness of economic incentives such as energy subsidies. One additional delicate factor that appears crucial for our purpose is that habits are not fully conscious forms of behaviours. This makes that individuals do not really see habits as a problem given that it is viewed as easily changed.
In sum, based on our evolutionary account of the situation, it follows that, to be more efficient, climate policies would have to both shift the incumbent carbon-based socio-technical systems (for it to shape decisions towards a reduction of greenhouse gas emissions) and also deconstruct habits that this same socio-technical has forged with time (as increased environmental awareness and intentions formulated accordingly are not sufficient in the presence of strong habits).
Accordingly, decision-makers should design measures (e.g. commitment strategies, niche management, etc.) that, as explained in this research, specifically target those change-resisting factors and their key features. This is essential as these factors tend to reduce the efficiency of traditional instruments. Micro-level interventions are thus needed as much as macro-level ones. For instance, it is often the case that external improvements of energy efficiency do not lead to lower energy consumption due to the rebound effect arising from unchanged energy-consuming habits. Bearing this in mind and building on the insights from the evolutionary approach, policy-makers should go beyond the mere subsidisation of technologies. They should instead create conditions enabling the use of the multi-layered, cumulative and self-reinforcing character of economic change highlighted by evolutionary analyses. This means supporting both social and physical technologies with the aim of influencing the selection environment so that only the low-carbon technologies and practices will survive.
Mentioned references:
David, P. A. (1985), Clio and the economics of QWERTY, American Economic Review 75/2: 332–337.
IPCC, 2007, ‘Climate Change 2007: The Physical Science Basis’, Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Solomon, S. D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and H.L. Miller (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 996 pp.
Stern, N. 2006, ‘Stern Review: The economics of Climate Change’, Report to the UK Prime Minister and Chancellor, London, 575 p. (www.sternreview.org.uk)
van den Bergh, J.C.J.M. 2007, ‘Evolutionary thinking in environmental economics’, Journal of Evolutionary Economics 17(5): 521-549.
Doctorat en Sciences économiques et de gestion
info:eu-repo/semantics/nonPublished
Niang, Abdou-Aziz. "Croissance et convergence des pays de la zone CFA : une étude par les données de panel non stationnaires." Phd thesis, Université de Bourgogne, 2011. http://tel.archives-ouvertes.fr/tel-00834421.
Full textArbiol, Roca Laia. "Mètodes de càlcul de l’índex de l’Oscil·lació de la Mediterrània Occidental (WeMOi) i estudi del seu potencial predictiu en la precipitació diària." Doctoral thesis, Universitat de Barcelona, 2021. http://hdl.handle.net/10803/672952.
Full textAtmospheric oscillations, which are mostly associate with climate patterns, have great influences on global climate variables and often lead to extreme weather conditions and events, which cause lots of adverse impacts on our environmental and socioeconomic status. The aim of this thesis is to identify the main events of torrential rain on the eastern façade of the Iberian Peninsula coast based on instrumental data, reanalysis data and predictive data by calculating the value of the Western Mediterranen Oscillation and its index (WeMOi). The signs and magnitude of the value of the index reflect the relationships of climate patterns with rainfall and their strength on the western façade of the Mediterranean basin and are used as a support tool for predicting torrential rains in this area. Part of the results of the main component analysis agrees well with the general understanding of the impact of this pattern with torrential rains. In addition, the relationships between precipitation and the WeMO index are studied on a daily basis based on instrumental meteorological data, atmospheric models of reanalysis and predictions, both past and present climate. The statistical methods used reinforce the weight of this atmospheric teleconnection pattern in several study windows and, therefore, the persistence of this atmospheric configuration. This suggests that the proposed predictive method is able to represent the teleconnection between the climate pattern and precipitation intensity being a key planning tool considering the location, strength and persistence of torrential episodes in the eastern peninsula. Highly dense areas where geographical features such as proximity to the sea and topography play an important role and where the effects of climate change will be reflected and severely damaged.
Semmens, Angela. "Envisioning futures : a critique of `super' male futurology : from the optical to the activisionary." Thesis, 1993. https://eprints.utas.edu.au/21535/7/whole_SemmensAngela1994_thesis.pdf.
Full textOgden, Michael R. "Islands on the net technology and development futures in Pacific Island microstates /." 1993. http://catalog.hathitrust.org/api/volumes/oclc/33072181.html.
Full textWalter, Sarah Marie. "The emergence of product certification systems as trade barriers: forecasting changes in the automotive sector based on an analysis of key drivers." Master's thesis, 2016. http://hdl.handle.net/10362/17400.
Full textBooks on the topic "Social change – Forecasting"
Weert, Canzler, Sekretariat für Zukunftsforschung, Institut für Zukunftsstudien und Technologiebewertung., and Internationale Bibliothek für Zukunftsfragen, eds. Die Triebkraft Hoffnung: Robert Jungk zu Ehren : Mit einer ausführlichen Bibliographie seiner Veröffentlichungen. Weinheim, Germany: Beltz, 1993.
Find full textChūbamrung, ʻAnnop. Khwāmphrō̜m nai kānphachœ̄n lōk yuk pī 2000. Krung Thēp: Bō̜risat Dapbœ̄n Nāi Phrinting, 1999.
Find full textCooley, Heather. Social vulnerability to climate change in California. [Sacramento, Calif.]: California Energy Commission, 2012.
Find full textH, Glantz Michael, ed. Societal responses to regional climatic change: Forecasting by analogy. Boulder, Colo: Westview Press, 1988.
Find full textJohn, Sharp, and Texas Comptroller's Office, eds. Forces of change: Shaping the future of Texas. [Austin, Tex.]: Texas Comptroller of Public Accounts, 1993.
Find full textAngell, Ian O. The new barbarian manifesto: How to survive the Information Age. London: Kogan Page, 2000.
Find full textNational Research Council (U.S.). Committee on the Human Dimensions of Global Change, National Research Council (U.S.). Climate Research Committee, and National Academies Press (U.S.), eds. Describing socioeconomic futures for climate change research and assessment: Report of a workshop. Washington, D.C: National Academies Press, 2010.
Find full text2049 xiang xin Zhongguo. Beijing: Zhongguo dang an chu ban she, 2006.
Find full textYu, Pyŏng-sŏn. Milleniŏm k'iwŏdŭ.com: Millennium keywords. Sŏul-si: Ungjin Ch'ulp'an, 2000.
Find full textNational security and the threat of climate change. Alexandria, VA: CNA Corporation, 2007.
Find full textBook chapters on the topic "Social change – Forecasting"
Ahlburg, Dennis. "Forecasting Regional Births: An Economic-Demographic Approach." In Population Change and the Economy: Social Science Theories and Models, 31–51. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4980-5_2.
Full textLedent, Jacques. "Forecasting Interregional Migration: An Economic-Demographic Approach." In Population Change and the Economy: Social Science Theories and Models, 53–77. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4980-5_3.
Full textDaim, Tugrul, Kelly Cowan, Wayne Wakeland, Hosein Fallah, and Patricia Holahan. "Forecasting the Adoption of Emerging Energy Technologies: Managing Climate Change, Governance and Evolving Social Values." In Climate Change Management, 119–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29831-8_8.
Full textIsserman, Andrew. "Forecasting Birth and Migration Rates: The Theoretical Foundation." In Population Change and the Economy: Social Science Theories and Models, 3–30. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4980-5_1.
Full textUlbrich, Hannah, Marco Wedel, and Hans-Liudger Dienel. "Introduction to Internal Crowdsourcing: Theoretical Foundations and Practical Applications." In Contributions to Management Science, 1–14. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52881-2_1.
Full textGuru Akhil, T., Y. Pranay Krishna, Ch Gangireddy, Anumandla Kiran Kumar, and K. L. Sowjanya. "Cyber-Hacking Breaches for Demonstrating and Forecasting." In Advanced Technologies and Societal Change, 169–75. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3045-4_17.
Full textManton, Kenneth G. "Forecasting Health Status Changes in an Aging U.S. Population: Assessment of the Current Status and Some Proposals." In Forecasting in the Social and Natural Sciences, 179–210. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-4011-6_8.
Full textNayak, Sarat Chandra, Subhranginee Das, Biswajit Sahoo, and B. Satyanarayana. "AEFA-ANN: Artificial Electric Field Algorithm-Based Artificial Neural Networks for Forecasting Crude Oil Prices." In Advanced Technologies and Societal Change, 87–94. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-4522-9_9.
Full textTsering, Karma, Kiran Shakya, Mir A. Matin, Jim Nelson, and Birendra Bajracharya. "Enhancing Flood Early Warning System in the HKH Region." In Earth Observation Science and Applications for Risk Reduction and Enhanced Resilience in Hindu Kush Himalaya Region, 169–200. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73569-2_9.
Full textFedchenko, Anna A., Olga A. Kolesnikova, and Maksim O. Gladkikh. "Opposition to Changes, the Methods of Its Forecasting and Overcoming." In Management of Changes in Socio-Economic Systems, 71–80. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72613-7_6.
Full textConference papers on the topic "Social change – Forecasting"
Coelho, Joseph, Dawson D'almeida, Scott Coyne, Nathan Gilkerson, Katelyn Mills, and Praveen Madiraju. "Social Media and Forecasting Stock Price Change." In 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC). IEEE, 2019. http://dx.doi.org/10.1109/compsac.2019.10206.
Full textCowan, Kelly R., Tugrul Daim, Wayne Wakeland, Hosein Fallah, Gerald Sheble, Loren Lutzenhiser, Aaron Ingle, Robert Hammond, and Matthew Nguyen. "Forecasting the adoption of emerging energy technologies: Managing climate change and evolving social values." In Technology. IEEE, 2009. http://dx.doi.org/10.1109/picmet.2009.5261751.
Full textMalkov, Sergey Yurievich. "The modern "era of Change" (about the Russian report to the Club of Rome)." In 6th International Conference “Futurity designing. Digital reality problems”. Keldysh Institute of Applied Mathematics, 2023. http://dx.doi.org/10.20948/future-2023-4.
Full text"Forecasting the Number of Grandparents in Sverdlovsk Oblast." In XII Ural Demographic Forum “Paradigms and models of demographic development”. Institute of Economics of the Ural Branch of the Russian Academy of Sciences, 2021. http://dx.doi.org/10.17059/udf-2021-2-20.
Full textBarata, Luis, João Gonçalves, João Palhares, Eurico Lopes, and Arminda Lopes. "Big Data and Traffic Data Analysis: Urban Traffic Forecasting and Management." In 23ª Conferência da Associação Portuguesa de Sistemas de Informação. Associação Portuguesa de Sistemas de Informação, APSI, 2023. http://dx.doi.org/10.18803/capsi.v23.337-347.
Full textAzmat, Muneeza, Malvern Madondo, Arun Bawa, Kelsey Dipietro, Raya Horesh, Michael Jacobs, Raghavan Srinivasan, and Fearghal O'Donncha. "Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/654.
Full textMahajan, Aniruddha, and Milind Baride. "Fast Track Implementation of Large Projects in Today's VUCA Environment." In ADIPEC. SPE, 2023. http://dx.doi.org/10.2118/216728-ms.
Full textRudik, А. V., E. V. Antonov, and A. A. Artamonov. "Tools for Assessing a Country's Science and Technology landscape." In 33rd International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2023. http://dx.doi.org/10.20948/graphicon-2023-256-265.
Full textGEMMA, Sergejs, and Zane VĪTOLIŅA. "EUROPE 2020 TARGETS: THE PROGRESS OF THE BALTIC COUNTRIES IN TERMS OF RIS3." In RURAL DEVELOPMENT. Aleksandras Stulginskis University, 2018. http://dx.doi.org/10.15544/rd.2017.056.
Full textREABENCHI, Eugen. "Analysis and prediction of fashion trends. How social trends affect fashion." In Ştiință și educație: noi abordări și perspective. "Ion Creanga" State Pedagogical University, 2023. http://dx.doi.org/10.46727/c.v3.24-25-03-2023.p178-183.
Full textReports on the topic "Social change – Forecasting"
Ortiz, Veronica, Joaquin Tintore, and Nicole Köstner. EuroSea Guide of communication and dissemination activities for enhanced visibility of innovation in ocean observing and forecasting for a sustainable ocean. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d8.10.
Full textIyer, Ananth V., Thomas Brady, Steven R. Dunlop, Dutt J. Thakkar, Saichandar Naini, Srinath Jayan, Suraj Vasu, Sanjayraj Mohanraj, and Janani Srinvasan. Forecasting Freight Logistic Needs and INDOT Plans. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317372.
Full textGiusta, Elena. EuroSea recommendations on RRI in OO. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d8.9.
Full textZarate, Sebastian, Ilaria Cimadori, Maria Mercedes Roca, Michael S. Jones, and Katie Barnhill-Dilling. Assessment of the Regulatory and Institutional Framework for Agricultural Gene Editing via CRISPR-based Technologies in Latin America and the Caribbean. Inter-American Development Bank, May 2023. http://dx.doi.org/10.18235/0004904.
Full textRyu, Kirak, and Hanna Moon. Skills for Work: Knowledge Sharing Forum on Development Experiences: Comparative Experiences of Korea and Latin America and the Caribbean. Inter-American Development Bank, June 2015. http://dx.doi.org/10.18235/0007000.
Full textAnderson, Donald M., Lorraine C. Backer, Keith Bouma-Gregson, Holly A. Bowers, V. Monica Bricelj, Lesley D’Anglada, Jonathan Deeds, et al. Harmful Algal Research & Response: A National Environmental Science Strategy (HARRNESS), 2024-2034. Woods Hole Oceanographic Institution, July 2024. http://dx.doi.org/10.1575/1912/69773.
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