#NIGeothermalWeek: Defining the vision for geothermal energy in Northern Ireland
Bibliographic record
Abstract
Northern Ireland Geothermal Energy Week (#NIGeothermalWeek) was held between June 13th – 17th 2022 at Riddel Hall, Queen’s Management School, Queen’s University Belfast. This inaugural event for the geothermal community in Northern Ireland could not have been more timely. The backcloth of geopolitical events – Northern Ireland Climate Act legislation mandating action on net zero targets, geopolitical conflict on the edge of the European Union leading to energy insecurity and strong inflationary pressures – has produced a window of opportunity for accelerating energy market transitions. Northern Ireland Geothermal Energy Week inspired, energised and focused attention. Under the stewardship of the Department for the Economy (DfE) and the Geological Survey of Northern Ireland (GSNI), and in partnership with Queen’s University Belfast, it provided policy makers, industry and research communities with the opportunity to come together, and create the conditions for defining the vision for the future of geothermal energy in Northern Ireland. Underpinned by the themes of partnership and inclusion, NI Geothermal Energy Week elicited the international experiences and insights from the International Geothermal Trade Associations; International Geothermal Association (IGA) – International, European Geothermal Energy Council (EGEC) - European Union, and Geothermal Rising (formally Geothermal Resources Council, GRC) - USA. This dialogue took place on the opening stakeholder day. Further to this, an awareness-and understanding-building public webinar with an expert panel, sought to highlight how geothermal energy outcomes can deliver to all communities across Northern Ireland. Working together across the week and agreeing the way forward yielded important insight for defining a vision for geothermal energy in Northern Ireland; revolving around communities, people, customers, environment, investment and operations. This cocreated vision aligns with the NI 10X economic vision, the World Energy Council’s energy trilemma vision, local geology as well as geothermal energy sensory experiences for heating and cooling. Northern Ireland Geothermal Energy Week was rich with information, social engagement and network encounter feedback. Taking stock, some things we learn from this inaugural event, not least with the survey feedback indicating perceptions of knowledge increasing, improving attitudes towards geothermal and reassuring points on the event organisation and a strong willingness to attend further geothermal sector events for organising and galvanising action. This report and reporting practice helps support industrial policy evaluation. It also showcases aesthetic innovation processes of sensory and evaluative forms of policymaking practice. Significantly too, this vision-making practice shifts the geological vocabulary towards a wider business sectoral understanding. Looking forward, the challenge now is to commission, run and deliver demonstration geothermal projects, showcasing their results to the general public with a simple geothermal value proposition, while also cocreating a roadmap to deliver our future geothermal vision for Northern Ireland. We believe that this vision reflects an emerging shift towards a lingua franca for building the geothermal sector.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.019 | 0.011 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".