ለውጦች

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "author": "",
2
  "author": "",
            
3
  "author_email": "Amin Kiaghadi",
3
  "author_email": "Amin Kiaghadi",
            
4
  "creator_user_id": "a21a024c-343c-4b53-a214-49d6fe62a720",
4
  "creator_user_id": "a21a024c-343c-4b53-a214-49d6fe62a720",
            
n
5
  "groups": [],
n
5
  "groups": [
            
6
    {
            
7
      "description": "The Smart & Connected Communities project 
            
8
focuses on improving resilience in communities facing extreme weather 
            
9
events and chronic stressors. \r\n\r\nIt aims to create a secure 
            
10
online portal where residents can share their local knowledge about 
            
11
these challenges. Researchers will work with the community to 
            
12
integrate this local knowledge with existing data sets used for 
            
13
planning and disaster preparation. The project not only enhances 
            
14
community resilience but also contributes to the national interest by 
            
15
providing a model that other communities can adapt. It involves 
            
16
creating innovative tools, data privacy processes, and knowledge 
            
17
integration frameworks, promoting local expertise in decision-making, 
            
18
and enhancing computer-based modeling for better resilience and 
            
19
preparedness.\r\n\r\nPrinciple Funder: National Science Foundation 
            
20
Smart & Connected Communities (Award No. 2127353)",
            
21
      "display_name": "Texas: Central Region",
            
22
      "id": "bf53a48a-8ca5-4a0f-9772-daf4bf460f16",
            
23
      "image_display_url": 
            
24
an.tacc.utexas.edu/uploads/group/2025-02-27-224507.700044BSicon.jpeg",
            
25
      "name": "central-texas-region",
            
26
      "title": "Texas: Central Region"
            
27
    },
            
28
    {
            
29
      "description": "The Smart & Connected Communities project 
            
30
focuses on improving resilience in communities facing extreme weather 
            
31
events and chronic stressors. It aims to create a secure online portal 
            
32
where residents can share their local knowledge about these 
            
33
challenges. Researchers will work with the community to integrate this 
            
34
local knowledge with existing data sets used for planning and disaster 
            
35
preparation. The project not only enhances community resilience but 
            
36
also contributes to the national interest by providing a model that 
            
37
other communities can adapt. It involves creating innovative tools, 
            
38
data privacy processes, and knowledge integration frameworks, 
            
39
promoting local expertise in decision-making, and enhancing 
            
40
computer-based modeling for better resilience and 
            
41
preparedness.\r\n\r\nPrinciple Funder: National Science Foundation 
            
42
Smart & Connected Communities (Award No. 2127353)",
            
43
      "display_name": "Texas: Rio Grande Valley Region",
            
44
      "id": "06257bd5-3ba2-47dd-ba84-ad3a83092297",
            
45
      "image_display_url": 
            
46
exas.edu/uploads/group/2025-06-27-031854.161623BeulahModelScreen.png",
            
47
      "name": "rgv",
            
48
      "title": "Texas: Rio Grande Valley Region"
            
49
    },
            
50
    {
            
51
      "description": "Core infrastructure for a reusable Knowledge 
            
52
Management Platform. Research and develop scalable decision support 
            
53
and deep uncertainty cybertools. How: Collaborate with research team 
            
54
to design and implement services that support data and model 
            
55
management and extend CI and DSS approaches that will be sustained via 
            
56
leveraged efforts with other initiatives, like TDIS, DOLCE, MINT, etc. 
            
57
Research Focus (RF's) to develop advanced decision support tools that 
            
58
address: * RF1 - knowledge capture for sensed and unstructured 
            
59
information,  * RF2 \u2013 develop reusable analytical methods that 
            
60
use natural language processing to computationally deconstruct problem 
            
61
formulations and link data/models with decision problems. * RF3 \u2013 
            
62
explore and design methods and utilities that support a standardized 
            
63
use of methods for decision making under deep uncertainty. 
            
64
Implementation Science to support stakeholder community needs and act 
            
65
as a learning laboratory for Intelligent Systems and IFL 
            
66
researchers\r\n\r\nPrinciple Funder: Planet Texas 2050",
            
67
      "display_name": "Texas: Southeast Region",
            
68
      "id": "fc1a600d-1f56-421b-9f8a-8deca201ff03",
            
69
      "image_display_url": 
            
70
oup/2025-02-21-163737.483713Screenshot-2025-02-21-at-10.37.15-AM.png",
            
71
      "name": "setx",
            
72
      "title": "Texas: Southeast Region"
            
73
    },
            
74
    {
            
75
      "description": "",
            
76
      "display_name": "Texas: Statewide Subsidence Data",
            
77
      "id": "92969cee-3dfc-4a30-8b77-a551b06c5ddf",
            
78
      "image_display_url": 
            
79
texas.edu/uploads/group/2025-06-27-032017.037656SUBSIDEthumbnail.png",
            
80
      "name": "subsidence",
            
81
      "title": "Texas: Statewide Subsidence Data"
            
82
    },
            
83
    {
            
84
      "description": "",
            
85
      "display_name": "Texas: Western Region",
            
86
      "id": "219f08ff-2d96-4239-b3ec-57d5ffee87e9",
            
87
      "image_display_url": 
            
88
tacc.utexas.edu/uploads/group/2025-02-21-162954.184423PrudeRanch.png",
            
89
      "name": "west-texas",
            
90
      "title": "Texas: Western Region"
            
91
    }
            
92
  ],
            
6
  "id": "6ba2960a-17b4-49c9-9b8b-9887d8acfd1d",
93
  "id": "6ba2960a-17b4-49c9-9b8b-9887d8acfd1d",
            
7
  "isopen": false,
94
  "isopen": false,
            
8
  "license_id": "notspecified",
95
  "license_id": "notspecified",
            
9
  "license_title": "License not specified",
96
  "license_title": "License not specified",
            
10
  "maintainer": "",
97
  "maintainer": "",
            
11
  "maintainer_email": "spierce@tacc.utexas.edu",
98
  "maintainer_email": "spierce@tacc.utexas.edu",
            
12
  "metadata_created": "2025-09-23T19:59:27.413960",
99
  "metadata_created": "2025-09-23T19:59:27.413960",
            
n
13
  "metadata_modified": "2025-10-07T17:39:28.388682",
n
100
  "metadata_modified": "2025-10-07T22:56:25.453428",
            
14
  "name": "tiff-links-go-look",
101
  "name": "tiff-links-go-look",
            
15
  "notes": "Links shared during TIFF presentation by Amin Kiaghadi in 
102
  "notes": "Links shared during TIFF presentation by Amin Kiaghadi in 
            
16
September 2025. ",
103
September 2025. ",
            
17
  "num_resources": 2,
104
  "num_resources": 2,
            
18
  "num_tags": 1,
105
  "num_tags": 1,
            
19
  "organization": {
106
  "organization": {
            
20
    "approval_status": "approved",
107
    "approval_status": "approved",
            
n
21
    "created": "2024-12-13T20:42:00.734799",
n
108
    "created": "2025-09-10T20:59:33.489696",
            
22
    "description": "Planet Texas 2050's interdisciplinary research 
109
    "description": "",
            
23
teams work on designing solutions for stronger, more resilient 
110
    "id": "673b95fc-4c5a-4d9a-88c7-ed7cf35bb48c",
            
24
communities. The initiative combines expertise from architects, 
111
    "image_url": 
            
25
archaeologists, city planners, public health experts, geologists, 
112
38-42c8-42c3-8234-8c7f908e524f/download/thumbnailfororganization.png",
            
26
engineers, biologists, computer scientists, artists and 

            
27
community-based partners in an eight-year research program.",

            
28
    "id": "7e505d35-12b2-4a13-bd76-173286cb319a",

            
29
    "image_url": "2025-01-01-201726.957849Planet-Texas-Logo.png",

            
30
    "is_organization": true,
113
    "is_organization": true,
            
n
31
    "name": "planet-texas-2050",
n
114
    "name": "dynamic-sensemaking-framework",
            
32
    "state": "active",
115
    "state": "active",
            
n
33
    "title": "Planet Texas 2050",
n
116
    "title": "Dynamic Sensemaking Framework",
            
34
    "type": "organization"
117
    "type": "organization"
            
35
  },
118
  },
            
t
36
  "owner_org": "7e505d35-12b2-4a13-bd76-173286cb319a",
t
119
  "owner_org": "673b95fc-4c5a-4d9a-88c7-ed7cf35bb48c",
            
37
  "private": false,
120
  "private": false,
            
38
  "relationships_as_object": [],
121
  "relationships_as_object": [],
            
39
  "relationships_as_subject": [],
122
  "relationships_as_subject": [],
            
40
  "resources": [
123
  "resources": [
            
41
    {
124
    {
            
42
      "cache_last_updated": null,
125
      "cache_last_updated": null,
            
43
      "cache_url": null,
126
      "cache_url": null,
            
44
      "created": "2025-09-23T19:59:35.714938",
127
      "created": "2025-09-23T19:59:35.714938",
            
45
      "description": "",
128
      "description": "",
            
46
      "format": "HTML",
129
      "format": "HTML",
            
47
      "hash": "",
130
      "hash": "",
            
48
      "id": "45be2b3c-c937-41eb-8f91-5ff3d08c6764",
131
      "id": "45be2b3c-c937-41eb-8f91-5ff3d08c6764",
            
49
      "last_modified": null,
132
      "last_modified": null,
            
50
      "metadata_modified": "2025-09-23T19:59:35.711643",
133
      "metadata_modified": "2025-09-23T19:59:35.711643",
            
51
      "mimetype": "text/html",
134
      "mimetype": "text/html",
            
52
      "mimetype_inner": null,
135
      "mimetype_inner": null,
            
53
      "mint_standard_variables": "",
136
      "mint_standard_variables": "",
            
54
      "name": "https://webapps.usgs.gov/TIFF/index.html",
137
      "name": "https://webapps.usgs.gov/TIFF/index.html",
            
55
      "package_id": "6ba2960a-17b4-49c9-9b8b-9887d8acfd1d",
138
      "package_id": "6ba2960a-17b4-49c9-9b8b-9887d8acfd1d",
            
56
      "position": 0,
139
      "position": 0,
            
57
      "resource_type": null,
140
      "resource_type": null,
            
58
      "size": null,
141
      "size": null,
            
59
      "state": "active",
142
      "state": "active",
            
60
      "url": "https://webapps.usgs.gov/TIFF/index.html",
143
      "url": "https://webapps.usgs.gov/TIFF/index.html",
            
61
      "url_type": null
144
      "url_type": null
            
62
    },
145
    },
            
63
    {
146
    {
            
64
      "cache_last_updated": null,
147
      "cache_last_updated": null,
            
65
      "cache_url": null,
148
      "cache_url": null,
            
66
      "created": "2025-10-07T17:38:34.348659",
149
      "created": "2025-10-07T17:38:34.348659",
            
67
      "description": "",
150
      "description": "",
            
68
      "format": "HTML",
151
      "format": "HTML",
            
69
      "hash": "",
152
      "hash": "",
            
70
      "id": "f881c71d-cbd0-4eb4-82ef-90c0d985455c",
153
      "id": "f881c71d-cbd0-4eb4-82ef-90c0d985455c",
            
71
      "last_modified": null,
154
      "last_modified": null,
            
72
      "metadata_modified": "2025-10-07T17:38:34.343050",
155
      "metadata_modified": "2025-10-07T17:38:34.343050",
            
73
      "mimetype": "text/html",
156
      "mimetype": "text/html",
            
74
      "mimetype_inner": null,
157
      "mimetype_inner": null,
            
75
      "mint_standard_variables": "",
158
      "mint_standard_variables": "",
            
76
      "name": "Mapped Data Resources for TIFF Coastal Science ",
159
      "name": "Mapped Data Resources for TIFF Coastal Science ",
            
77
      "package_id": "6ba2960a-17b4-49c9-9b8b-9887d8acfd1d",
160
      "package_id": "6ba2960a-17b4-49c9-9b8b-9887d8acfd1d",
            
78
      "position": 1,
161
      "position": 1,
            
79
      "resource_type": null,
162
      "resource_type": null,
            
80
      "size": null,
163
      "size": null,
            
81
      "state": "active",
164
      "state": "active",
            
82
      "url": "https://dev-webapps.usgs.gov/tiff/map.html",
165
      "url": "https://dev-webapps.usgs.gov/tiff/map.html",
            
83
      "url_type": null
166
      "url_type": null
            
84
    }
167
    }
            
85
  ],
168
  ],
            
86
  "spatial": 
169
  "spatial": 
            
87
500001,25.57071713485427],[-106.78710937500001,25.57071713485427]]]}",
170
500001,25.57071713485427],[-106.78710937500001,25.57071713485427]]]}",
            
88
  "state": "active",
171
  "state": "active",
            
89
  "tags": [
172
  "tags": [
            
90
    {
173
    {
            
91
      "display_name": "LRGV Flood Collection",
174
      "display_name": "LRGV Flood Collection",
            
92
      "id": "de766217-dbd6-414a-9d3d-72c2a8b373a0",
175
      "id": "de766217-dbd6-414a-9d3d-72c2a8b373a0",
            
93
      "name": "LRGV Flood Collection",
176
      "name": "LRGV Flood Collection",
            
94
      "state": "active",
177
      "state": "active",
            
95
      "vocabulary_id": null
178
      "vocabulary_id": null
            
96
    }
179
    }
            
97
  ],
180
  ],
            
98
  "title": "TIFF Coastal Science data collections",
181
  "title": "TIFF Coastal Science data collections",
            
99
  "type": "dataset",
182
  "type": "dataset",
            
100
  "url": "",
183
  "url": "",
            
101
  "version": ""
184
  "version": ""
            
102
}
185
}