Embedding Sustainability in Complex Projects: A Pedagogic Practice
Simulation Approach
- URL: http://arxiv.org/abs/2104.04068v2
- Date: Mon, 19 Apr 2021 10:11:51 GMT
- Title: Embedding Sustainability in Complex Projects: A Pedagogic Practice
Simulation Approach
- Authors: Caroline N J Tite, David Pontin, Nicholas Dacre
- Abstract summary: The cut of greenhouse gas emissions in the UK to almost zero by 2050 is a driver for improved sustainability.
New themes are continuously being developed which drive complex projects.
Project management education can provide a holistic base for the inculcation of sustainability factors.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Sustainability is focussed on avoiding the long-term depletion of natural
resources. Under the terms of a government plan to tackle climate change, a
driver for improved sustainability is the cut of greenhouse gas emissions in
the UK to almost zero by 2050. With this type of change, new themes are
continuously being developed which drive complex projects, such as the
development of new power generation methods, which encompass challenging lead
times and demanding requirements. Consideration of the implementation of
strategies and key concepts, which may engender sustainability within complex
projects therefore presents an opportunity for further critical debate, review,
and application through a project management lens. Sustainability incorporation
in project management has been documented in academic literature, with this
emerging field providing new challenges. For example, project management
education can provide a holistic base for the inculcation of sustainability
factors to a range of industries, including complex projects. Likewise,
practitioner interest and approaches to sustainability in project management
are being driven by the recently Chartered Association for Project Management
(APM). Whilst this body makes a significant contribution to the UK economy
across many sectors, it also addresses ongoing sustainability challenges.
Therefore, by drawing on research and practitioner developments, the authors
argue that by connecting with the next generation through practice simulation
approaches, and embedding sustainability issues within project management tools
and methods, improved focus on sustainability in complex project management may
be achieved.
Related papers
- Sustainability concepts for digital research infrastructures developed through ground-level stakeholder empowerment [0.10319088078614562]
The UK Research and Innovation Digital Research Infrastructure (DRI) needs to operate sustainably in the future.
This article presents the results of a research programme to give voice to the ground-level stakeholders of the DRI ecosystem.
We find that giving a purposeful voice to the stakeholders for shaping their own future sustainable DRI environment can be achieved by a guided, expert-integrated, interactive and problem-focused workshop series.
arXiv Detail & Related papers (2024-11-21T16:54:04Z) - Green Federated Learning: A new era of Green Aware AI [11.536626349203361]
Federated Learning (FL) presents new opportunities to address this need.
It's crucial to furnish researchers, stakeholders, and interested parties with a roadmap to navigate and understand existing efforts and gaps in green-aware AI algorithms.
This survey primarily aims to achieve this objective by identifying and analyzing over a hundred FL works.
arXiv Detail & Related papers (2024-09-19T09:54:18Z) - AI-Driven approach for sustainable extraction of earth's subsurface renewable energy while minimizing seismic activity [44.99833362998488]
Injection of fluids into the Earth's crust can induce or trigger earthquakes.
We propose a new approach based on Reinforcement Learning for the control of human-induced seismicity.
We show that the reinforcement learning algorithm can interact efficiently with a robust controller.
arXiv Detail & Related papers (2024-08-07T10:06:04Z) - A Road Less Travelled and Beyond: Towards a Roadmap for Integrating Sustainability into Computing Education [7.060399369099591]
We propose a research roadmap to integrate sustainability principles and essential skills into the crowded computing curriculum.
We identify key topics for teaching sustainability, including core sustainability principles, values and ethics, systems thinking, impact measurement, soft skills, business value, legal standards, and advocacy.
The paper is accepted at the 2030 Software Engineering workshop, which is co-located with the FSE'24 conference.
arXiv Detail & Related papers (2024-06-27T07:19:15Z) - Agent-Driven Automatic Software Improvement [55.2480439325792]
This research proposal aims to explore innovative solutions by focusing on the deployment of agents powered by Large Language Models (LLMs)
The iterative nature of agents, which allows for continuous learning and adaptation, can help surpass common challenges in code generation.
We aim to use the iterative feedback in these systems to further fine-tune the LLMs underlying the agents, becoming better aligned to the task of automated software improvement.
arXiv Detail & Related papers (2024-06-24T15:45:22Z) - Clearing the Path for Software Sustainability [0.0]
This paper outlines key challenges identified in literature based on findings from a tertiary study.
Confusion regarding the definition of software sustainability, uncertainty about when to consider sustainability in software development, lack of assessment metrics and tools, narrow perspectives on sustainability in software systems, insufficient awareness and education, and a lack of serious considerations in practice.
arXiv Detail & Related papers (2024-05-24T15:24:24Z) - Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents [101.17919953243107]
GovSim is a generative simulation platform designed to study strategic interactions and cooperative decision-making in large language models (LLMs)
We find that all but the most powerful LLM agents fail to achieve a sustainable equilibrium in GovSim, with the highest survival rate below 54%.
We show that agents that leverage "Universalization"-based reasoning, a theory of moral thinking, are able to achieve significantly better sustainability.
arXiv Detail & Related papers (2024-04-25T15:59:16Z) - A Review on AI Algorithms for Energy Management in E-Mobility Services [4.084938013041068]
E-mobility, or electric mobility, has emerged as a pivotal solution to address pressing environmental and sustainability concerns.
This paper seeks to explore the potential of artificial intelligence (AI) in addressing various challenges related to effective energy management in e-mobility systems.
arXiv Detail & Related papers (2023-09-26T16:34:35Z) - AI for Global Climate Cooperation: Modeling Global Climate Negotiations,
Agreements, and Long-Term Cooperation in RICE-N [75.67460895629348]
Achieving long-term cooperation on climate change mitigation with n strategic agents poses a complex game-theoretic problem.
We introduce RICE-N, a multi-region integrated assessment model that simulates the global climate and economy.
We describe how to use multi-agent reinforcement learning to train rational agents using RICE-N.
arXiv Detail & Related papers (2022-08-15T04:38:06Z) - Learnings from Frontier Development Lab and SpaceML -- AI Accelerators
for NASA and ESA [57.06643156253045]
Research with AI and ML technologies lives in a variety of settings with often asynchronous goals and timelines.
We perform a case study of the Frontier Development Lab (FDL), an AI accelerator under a public-private partnership from NASA and ESA.
FDL research follows principled practices that are grounded in responsible development, conduct, and dissemination of AI research.
arXiv Detail & Related papers (2020-11-09T21:23:03Z) - Leveraging traditional ecological knowledge in ecosystem restoration
projects utilizing machine learning [77.34726150561087]
Community engagement throughout the stages of ecosystem restoration projects could contribute to improved community well-being.
We suggest that adaptive and scalable practices could incentivize interdisciplinary collaboration during all stages of ecosystemic ML restoration projects.
arXiv Detail & Related papers (2020-06-22T16:17:48Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.