#WSIS
WSIS set out a vision for a people-centred digital society. Can a 20-year-old framework meet today's challenges of AI, inequality and corporate power?

David Souter examines what WSIS+20 achieved, what remains unresolved and why reaffirming commitments alone won't deliver meaningful change. #WSIS20
The World Summit on the Information Society – Whatever next?
It’s been a while since my last blog Inside the Digital Society for APC. I’m glad to return and will be writing each month on an important issue for those concerned about the impact that digitalisatio...
www.apc.org
November 11, 2026 at 4:42 PM
The deep learning framework Hist2Prot infers single-cell spatial proteomics from histology to predict biomarkers and clinical outcomes
Publicly available datasets used in this study can be accessed from their original repositories. TCGA diagnostic H&E WSIs and matched molecular and clinical annotations are available from the Genomic Data Commons portal (https://portal.gdc.cancer.gov/). The HEMIT mIF CRC dataset is available at https://github.com/BianChang/HEMIT-DATASET. The CODEX CRC dataset is available from The Cancer Imaging Archive at https://www.cancerimagingarchive.net/collection/crc_ffpe-codex_cellneighs/. The in-house G4X spatial proteomics cohorts, the private Orion LUAD cohort and the CRC and NSCLC immunotherapy cohorts were obtained and used under institutional ethical approvals and applicable data-use agreements. The patient-level data, including H&E images, spatial molecular imaging data and associated clinical information, were used with permission for the current study and are not publicly available. Any reuse requires approval from the corresponding ethics committee, and any dissemination must comply with applicable data privacy laws and the scope of patient consent and information documents. These documents do not authorize public release of the data. Removal of direct identifiers from processed datasets does not remove these governance and data-use restrictions; therefore, neither raw nor de-identified processed data may be redistributed through unrestricted public repositories. Access may be granted following institutional approval and execution of an appropriate data-use agreement, subject to applicable ethical, privacy and data-security...
www.nature.com
November 13, 2026 at 5:43 PM
Normalized membrane ratio of TROP2 as a predictor of clinical outcomes with datopotamab deruxtecan in non-small-cell lung cancer
Initial biomarker discovery was performed using tumor samples from patients with advanced NSCLC enrolled in TROPION-PanTumor01, a first-in-human, phase 1 study investigating Dato-DXd monotherapy in patients with solid tumors34,36. A total of 180 patients with NSCLC were enrolled (intention-to-treat (ITT) population) and received Dato-DXd at 4 mg kg−1, 6 mg kg−1 or 8 mg kg−1 (ref. 34); 115 patients (113 for visual scoring) with digitized TROP2 IHC-stained, WSIs of tumor samples comprised the TROPION-PanTumor01 biomarker-evaluable population (BEP; see Extended Data Table 1 for patient characteristics in the BEP and ITT population). Some patients in the BEP either harbored an AGA or had squamous histology and, of the latter, none had an objective response, limiting discovery efforts in this subpopulation. Analysis of TROP2 expression using a research-use-only (RUO) IHC assay was conducted by visual pathologist scoring34. TROP2 expression by manual scoring (H-score) was not associated with centrally confirmed objective response (Fig.1a), PFS (Fig. 1b) or reduction in tumor size from baseline (Fig. 1c), consistent with previously published data on TROP2 expression in NSCLC34,52. Furthermore, high TROP2 expression alone was not associated with response to Dato-DXd (Fig. 1d). Based on the QCS platform42, we developed QCS for TROP2—a fully supervised computational pathology...
www.nature.com
November 12, 2026 at 11:31 PM
I’m really angry that El-Sayed is constantly getting questions like this. Why aren’t white Christians in America asked to denounce their radicals? Treating Zionists and Jews as interchangeable terms is a bad trope. Mocking people for going to synagogue? Oof
November 6, 2026 at 10:51 PM
I'm waiting at the airport to start my journey to ITU #Plenipot in Doha to focus on Internet & WSIS resolutions but first I'm attending to the other big part of my life: wildlife. Specifically, giving advice to a friend who's found 2 tawny frogmouth chicks on the ground (They're not ground dwellers)
November 5, 2026 at 9:24 AM
Miguel Andrade, Jos\'e Almeida, Carlos Santiago, Catarina Barata: From WSIs to Bulk, Spatial and Single-Cell Transcriptomics via Multi-Scale Graph Neural Networks https://arxiv.org/abs/2610.41692 https://arxiv.org/pdf/2610.41692 https://arxiv.org/html/2610.41692
November 2, 2026 at 6:43 AM
The MCG is a direct result of the WSIS+20 review, which the #UNGA concluded last year. Following the #ECOSOC call for #UNGIS to draw on multi-stakeholder advice, UNGIS convenes this consultative body to receive input from diverse stakeholders and to help put #WSIS commitments into practice.
October 28, 2026 at 12:54 PM
I'm proud to be on the Oz del at #Plenipot because Australia's approach to recent digital policy negotiations (Global Digital Compact & WSIS+20) showed a deep & ongoing commitment to listening & engaging meaningfully with Global South governments & stakeholders to find mutually beneficial outcomes.
October 21, 2026 at 9:37 PM
#ICANN87 Jorge Cancio: the WSIS+20 consensus resolution at UNGA last year is very fragile, in that it is dependent on the delivery of a number of goals specified in the resolution. We have to deliver at IGF, ICANN, and at the ITU.
October 22, 2026 at 7:55 AM
HRDPath: an explainable multi-model deep learning architecture for predicting homologous recombination deficiency from histopathology images
We utilized an in-house dataset, UWOV, with 152 patients (145 HGSOC and 7 other ovarian cancer patients) as well as two publicly available datasets: TCGAOV (81 HGSOC patients with 82 diagnostic WSIs) and PTRC (93 HGSOC patients) (Fig. 1a and Methods). For our model development, we focused on the UWOV cohort due to its high-quality, large sample size, and the comprehensive information from multiple slides of different anatomical locations per patient, and used TCGAOV and PTRC as independent validation sets where we only used diagnostic slides from TCGA. The UWOV dataset consists of 720 diagnostic whole tissue section slides from primary debulking resections of HGSOC. The specimens encompassed fallopian tube or ovary (tubo-ovarian: n = 480) and extra-ovarian anatomic locations: omentum (n = 151), abdomen (n = 29), Other Pelvic (n = 42), and other locations (n = 18) (Fig. 1b). HRDetect was used to generate ground truth HRD status for the UWOV dataset19 (“Methods”). 70 patients were classified as HRD−, while 82 were classified as HRD+ . These cancers were also assessed for HRD-related genomic alterations, including BRCA1 (32.9%), BRCA2 (25.7%), and RAD51C (2%) mutations (Fig. 1c and Methods). Methylation alterations were also assessed, where among the HRD+ cancers,...
www.nature.com
October 21, 2026 at 11:41 AM
SAVE THE DATE 15-17 OCT: BIGF - 21st Bangladesh Annual Internet Governance Forum 2026
isoc.live/22305

Bangladesh IGF and BTRC meet in Dhaka on 'Governing the Internet in the Age of Intelligence'. Online Day 0 on 14 Oct.

#bigf2026 #InternetGovernance #AIGovernance #DigitalInclusion
October 12, 2026 at 3:16 AM
📣 The IGF is now a permanent forum of the United Nations (UNGA Res. 80/173, WSIS+20), and its Multistakeholder Advisory Group is being renewed for 2027.

@UNDESA invites all stakeholder and regional groups to nominate. Deadline 5 Nov 👇
intgovforum.org/en/content/m...
October 3, 2026 at 4:24 AM
IMILIA is accepted at COMPAYL, MICCAI 2026. Our interpretable MIL framework predicts IBD inflammation from H&E WSIs, and HistoPLUS quantifies the cells in each slide's top-scoring tiles. Used directly as risk scores, those counts reach ROC-AUC up to 0.97. arxiv.org/abs/2512.13440
September 24, 2026 at 1:59 PM
WEBINAR 24 SEP 15:00 UTC - The Evolving Role of SSAC in Global Governance and Its Relevance to the ISPCP
isoc.live/22102

ICANN, ISPCP and SSAC trace SSAC advice from WSIS to WSIS+20, as IGF becomes a permanent UN forum.

#ICANN #SSAC #WSIS20 #InternetGovernance
September 16, 2026 at 6:07 PM
La ONU reconoció a una inteligencia artificial argentina capaz de anticipar la pérdida de autonomía en adultos mayores
La ONU reconoció a una inteligencia artificial argentina capaz de anticipar la pérdida de autonomía en adultos mayores
AVIA, de la Fundación Cuidados de Salud, ganó el WSIS Prizes 2026 y muestra cómo la inteligencia artificial en salud puede prevenir el deterioro en adultos mayores
la100.cienradios.com
September 15, 2026 at 4:16 PM
La ONU reconoció a una inteligencia artificial argentina capaz de anticipar la pérdida de autonomía en adultos mayores
La ONU reconoció a una inteligencia artificial argentina capaz de anticipar la pérdida de autonomía en adultos mayores
AVIA, de la Fundación Cuidados de Salud, ganó el WSIS Prizes 2026 y muestra cómo la inteligencia artificial en salud puede prevenir el deterioro en adultos mayores
la100.cienradios.com
September 15, 2026 at 4:16 PM
HYBRID 18 SEP 10:15 EDT / 14:15 UTC - UNGIS: Stronger Together - Advancing Digital Cooperation Across the UN System
isoc.live/22089

At UNDP HQ + online, with ITU, UNDP, @unctad.bsky.social, UN Women, OHCHR, World Bank, UNECE

#WSIS #WSIS20 #GlobalDigitalCompact #DigitalCooperation
September 15, 2026 at 8:56 PM
NEXT WEDNESDAY 09 SEP 14:30 UTC - IGF USA 2026
isoc.live/21744

IGF-USA convenes at the @amrevmuseum.bsky.social in Philadelphia. Sessions on the IG landscape after WSIS+20, AI & data centers in the USA, and where IGF-USA goes from here.

#IGF #IGFUSA #IGFUSA2026 #InternetGovernance
September 5, 2026 at 3:53 AM
Supervised vs. adversarially pre-trained pseudo-label generators for semi-supervised breast cancer patch classification
Frontiers
www.frontiersin.org/journals/art...
Frontiers | Supervised vs. adversarially pre-trained pseudo-label generators for semi-supervised breast cancer patch classification
Automated breast cancer classification from whole-slide images (WSIs) is hampered by the scarcity of expert-annotated patches and the domain variability inhe...
www.frontiersin.org
September 3, 2026 at 2:03 AM
SlideBank: A Persistent Hierarchical Evidence Bank for Consistent Whole-Slide Reasoning

Beidi Zhao et al.

#arXiv #cs.AI
SlideBank: A Persistent Hierarchical Evidence Bank for Consistent Whole-Slide Reasoning
Whole-slide images (WSIs) are challenging for vision-language reasoning because diagnostically relevant morphology is sparse, heterogeneous, and distributed across gigapixel-scale images and multiple spatial resolutions. Existing WSI models and pathology agents can aggregate slide features or activ…
arxiv.org
September 2, 2026 at 7:50 PM
SlideBank: A Persistent Hierarchical Evidence Bank for Consistent Whole-Slide Reasoning

Beidi Zhao et al.

#arXiv #cs.AI
SlideBank: A Persistent Hierarchical Evidence Bank for Consistent Whole-Slide Reasoning
Whole-slide images (WSIs) are challenging for vision-language reasoning because diagnostically relevant morphology is sparse, heterogeneous, and distributed across gigapixel-scale images and multiple spatial resolutions. Existing WSI models and pathology agents can aggregate slide features or activ…
arxiv.org
September 2, 2026 at 6:39 PM
GNI also translated learnings from internal activities into external workshops alongside international forums like RightsCon, DRIF in Zambia, WSIS+20 in Geneva, and IGF in Oslo.

Learning is the engine for actionable accountability. Stay tuned for more GNI 2025 Annual Report highlights!
September 2, 2026 at 11:52 AM
GISWatch is more than a publication. It is a collaborative process that documents local realities, identifies common struggles and proposes practical action steps – turning evidence into advocacy and helping hold governments and international organisations accountable.
September 2, 2026 at 4:52 AM
Their lab has developed tools (cmilab.nephrology.medicine.ufl.edu/software/), including FUSION (Functional Unit State Indentification in WSIs) which combines high resolution histrology viewing with computational segmentation, morphometrics, and spatially-resolved molecular assays.
Software » Computational Microscopy Imaging Laboratory » College of Medicine » University of Florida
We develop end-user software in the areas of Computational & Digital Pathology and Spatial Biology. Brief summary of the select packages can be accessed via the left buttons. Latest codes are freely a...
cmilab.nephrology.medicine.ufl.edu
January 14, 2025 at 7:59 PM