| Feb. 13, 2024, 4:20 p.m. |
Created
43
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[{"model": "core.projectfund", "pk": 64448, "fields": {"project": 12668, "organisation": 11073, "amount": 49620, "start_date": "2023-05-01", "end_date": "2023-07-31", "raw_data": 182300}}]
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| Jan. 30, 2024, 4:25 p.m. |
Created
43
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[{"model": "core.projectfund", "pk": 57280, "fields": {"project": 12668, "organisation": 11073, "amount": 49620, "start_date": "2023-05-01", "end_date": "2023-07-31", "raw_data": 160854}}]
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| Jan. 2, 2024, 4:15 p.m. |
Created
43
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[{"model": "core.projectfund", "pk": 50113, "fields": {"project": 12668, "organisation": 11073, "amount": 49620, "start_date": "2023-05-01", "end_date": "2023-07-31", "raw_data": 138436}}]
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| Dec. 5, 2023, 4:24 p.m. |
Created
43
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[{"model": "core.projectfund", "pk": 42864, "fields": {"project": 12668, "organisation": 11073, "amount": 49620, "start_date": "2023-04-30", "end_date": "2023-07-30", "raw_data": 111274}}]
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| Dec. 5, 2023, 4:24 p.m. |
Created
41
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[{"model": "core.projectorganisation", "pk": 119442, "fields": {"project": 12668, "organisation": 15921, "role": "PARTICIPANT_ORG"}}]
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| Nov. 27, 2023, 2:15 p.m. |
Added
35
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{"external_links": []}
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| Nov. 21, 2023, 4:40 p.m. |
Created
43
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[{"model": "core.projectfund", "pk": 35574, "fields": {"project": 12668, "organisation": 11073, "amount": 49620, "start_date": "2023-04-30", "end_date": "2023-07-30", "raw_data": 66441}}]
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| Nov. 21, 2023, 4:40 p.m. |
Created
41
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[{"model": "core.projectorganisation", "pk": 104491, "fields": {"project": 12668, "organisation": 15920, "role": "PARTICIPANT_ORG"}}]
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| Nov. 21, 2023, 4:40 p.m. |
Created
41
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[{"model": "core.projectorganisation", "pk": 104490, "fields": {"project": 12668, "organisation": 15921, "role": "LEAD_ORG"}}]
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| Nov. 21, 2023, 4:40 p.m. |
Created
40
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[{"model": "core.projectperson", "pk": 65799, "fields": {"project": 12668, "person": 17813, "role": "PM_PER"}}]
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| Nov. 20, 2023, 2:05 p.m. |
Updated
35
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{"title": ["", "D-Xpert: AI-Based Recommender System for Smart Energy Saving"], "description": ["", "\nHeating and cooling buildings accounted for 27% of total UK energy consumption in 2019, and due to the cost and limited impact of energy audits, adopting more efficient HVACs can be a challenge. D-Xpert is an innovative technology which markets a low cost, effective and privacy-safe occupancy monitoring system. D-xpert is an AI-based recommender system that automates the building data analysis and is easy to deploy and operate.\n\nIn the first phase we aim to build a consortium of stakeholders to validate the development approach, standardise the benchmarking process, and develop a data-sharing approach to address any commercial, security and privacy concerns. The UK Climate Change Act of 2008 is seen as influential in creating the market opportunity.\n\n"], "extra_text": ["", "\n\n\n\n"], "status": ["", "Closed"]}
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| Nov. 20, 2023, 2:05 p.m. |
Added
35
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{"external_links": [50518]}
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| Nov. 20, 2023, 2:05 p.m. |
Created
35
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[{"model": "core.project", "pk": 12668, "fields": {"owner": null, "is_locked": false, "coped_id": "1db60f32-d642-4c37-a3b1-b615804729a7", "title": "", "description": "", "extra_text": "", "status": "", "start": null, "end": null, "raw_data": 66424, "created": "2023-11-20T13:47:12.735Z", "modified": "2023-11-20T13:47:12.735Z", "external_links": []}}]
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