A method for performing relational analysis of parsed input is employed to create a visual map of knowledge information. A title, header or subject line for an input item of information is parsed into syntactical components of at least a subject component and any predicate component(s) relationally linked as topic and subtopics. A search of topics and subtopics is carried out for each parsed component. If a match is found, then the parsed component is taken as a chosen topic/subtopic label. If no match is found, then the parsed component is formatted as a new entry in the knowledge map. A translation function for translating topics and subtopics from an original language into one or more target languages is enabled by user request or indicated user preference for display on a generated visual map of knowledge information.

A memory system includes a CPU that communicates commands and addresses to a main-memory module. The module includes a buffer circuit that relays commands and data between the CPU and the main memory. The memory module additionally includes an embedded processor that shares access to main memory in support of peripheral functionality, such as graphics processing, for improved overall system performance. The buffer circuit facilitates the communication of instructions and data between CPU and the peripheral processor in a manner that minimizes or eliminates the need to modify CPU, and consequently reduces practical barriers to the adoption of main-memory modules with integrated processing power.

An apparatus and method for determining an Absolute Location of an indoor stationary object, the method comprising: receiving a distance between an indoor stationary object and one or more predetermined spots; determining a location of stationary object relative to one of the predetermined spots; receiving an Absolute Location of one of the predetermined spots; determining an Absolute Location of the stationary object; and storing the Absolute Location of the stationary object with description information of the stationary object.

Apparatus for use in generating a mapping using ontologies, the apparatus including at least one electronic processing device that determines ontologies having respective ontology terms, determines a group of ontology terms from at least one of the ontologies, determines alignment between ontology terms in the ontologies for at least some of the group of ontology terms, the alignment being determined at least partially in accordance with an ontology term meaning of the ontology terms and generates a mapping in accordance with the alignment.

A team of marine scientists are on a mission to preserve biodiversity in oceans around the world. To do it, they need accurate maps that will help them identify areas in need of protection. There are several ongoing projects to create these maps. But they’re led by different groups, using different methods that can produce conflicting results.

COVID-19 has spread across Washington, the U.S. and the world at staggering speeds. Here's what we know so far about the spread of coronavirus and its global impacts.

Qantas boss Alan Joyce has spoken to the airline's new normal saying "The Qantas of 2021 and 2022 will not be the Qantas of 2019".

Adult On-Road Cyclist Injury in Victoria, 2008/09 to 2017/18: A Report on Ambulance Attendances, Emergency Department Presentations, Hospital Admissions and Deaths , released by Monash University

strataconf: A roundup from the data journalism beat http://t.co/y8RVUwHO4G Global open data, scholarships, mapping a civil war & more #strataconf

strataconf: Innovative ways journalists are using data to tell stories http://t.co/y8RVUwHO4G Global open data, scholarships, mapping a civil war & more

11 December 2019

Agricultural subsidies shape production and consumption patterns, with potentially significant effects on poverty, nutrition and other sustainability concerns. This paper maps the different types of support provided by governments to the agricultural sector, and highlights some of the complex political economy dynamics that underpin the relevant policies. 

4 March 2020 , Volume 96, Number 2

Alyson Bittner
Proc. Amer. Math. Soc. 148 (2020), 2683-2693.
Abstract, references and article information

Residents may have seen a distinctive white car, fitted with advanced imaging and sensory gadgetry, on its journey to create the next generation of Hong Kong maps.

As it travels up and down the city’s streets, it records the three-dimensional shapes of buildings ranging from the iconic Convention & Exhibition Centre to the Customs Headquarters Building, and even primary school campuses.

The vehicle, dubbed the Mobile Mapping System, is one of the latest technologies used by the Lands Department to survey the city.

Five pieces of equipment work in concert to collect detailed information for the 3D City Map - a core component of the digital infrastructure underpinning Hong Kong’s smart city development.

A high-resolution camera on top of the vehicle captures 360-degree images and a 3D laser scanner collects spatial measurements. An inertial navigation system and a global navigation satellite system receiver provide precise positioning.

Lands Department Assistant Land Surveyor Charlie Hung said one of the biggest advantages of this system is its ability to quickly and efficiently acquire data, which can be used to enrich 3D models and enhance existing maps.

“We can enhance the attributed information of our basic map. For example, the lamppost number, the building name or the street number.”

Drones are also used to map the city, she added. However, air surveying may not be suitable for collecting data from ground level. This is where the Mobile Mapping System vehicle comes into play.

Better data

The 3D City Map is part of the 3D Digital Map Development, which aims to contribute to an innovative, sustainable and smart Hong Kong.

Compared with traditional maps, the 3D City Map can provide more accurate and abundantly better spatial data.

The map will cover the entire city by 2023, serving as a handy tool for analysis and planning, according to Lands Department Land Surveyor Ben Fan.

He said: “Based on the 3D digital map, we can develop various kinds of applications such as land administration, environmental assessment, town planning and also transport and engineering studies.”

The latest transport infrastructures such as the Hong Kong-Zhuhai-Macao Bridge, the Central-Wan Chai Bypass and the Heung Yuen Wai Highway have also been scanned.

In the next stage of the 3D Digital Map Development, the department will create the 3D Indoor Map. As a start, data from 150 buildings in Kowloon East will be collected first before extending to other buildings in the city.

The last stage 3D models of objects such as trees and lampposts for city modelling will be produced.

(University of Michigan) The coronavirus pandemic has highlighted just how reliant the United States and other countries are on Chinese manufacturing, with widespread shortages of protective medical gear produced there.

Introduction: The aim of this study was to analyze patterns of persistent versus recurrent or new PET lesions in a selected patient cohort with PSA persistence following salvage lymph node dissection (SLND) and pre/post procedure prostate-specific membrane antigen ligand positron emission tomography (PSMA-PET). Material and Methods: 16 patients were included in this multicenter study. Inclusion criteria were: a) PSMA-PET performed for biochemical recurrence before SLND (pre-SLND PET) and b) repeat PSMA-PET performed for persistently elevated PSA level (≥0.1 ng/mL) ≥6 weeks after SLND (post-SLND PET). Image analysis was performed by three independent nuclear medicine physicians applying the molecular imaging TNM system PROMISE. Lesions were confirmed by histopathology, presence on correlative CT/MRI/bone scan or PSA response after focal therapy. Results: post-SLND PET identified PCa-lesions in 88% (14/16) of patients with PSA persistence after SLND. Median PSA was 1.2 ng/mL (IQR, 0.6-2.8 ng/mL). Disease was confined to the pelvis in 56% of patients (9/16) and most of these men had common iliac (6/16, 38%) and internal iliac lymph node metastases (6/16, 38%). Extrapelvic disease was detected in 31% of patients (5/16). In pre- and post-SLND PET comparison, 10/16 had at least one lesion already detected at baseline (63% PET persistence); 4/16 had new lesions only (25% PET recurrence); 2 had no disease on post-SLND PET. All validated regions (11 regions in 9 patients) were true positive. 9/14 (64%) patients underwent repeat local therapies after SLND (7/14 radiotherapy, 2/14 surgery). Conclusion: SLND of pelvic nodal metastases was often not complete according to PSMA-PET. About two thirds of patients had PET positive nodal disease after SLND already seen on pre-SLND PSMA-PET. Notably, about one quarter of patients had new lesions, not detected by pre-surgical PSMA-PET.

Rationale: The presence of metastasis in local lymph nodes (LNs) is a key factor influencing choice of therapy and prognosis in cervical and endometrial cancers; therefore, the exploration of sentinel LNs (SLNs) is highly important. Currently, however, SLN mapping requires LN biopsy for pathologic evaluation, since there are no clinical imaging approaches that can identify tumor-positive LNs in early stages. Staging lymphadenectomy poses risks, such as leg lymphedema or lymphocyst formation. Furthermore, in 80% to 90% of patients, the explored LNs are ultimately tumor free, meaning the vast majority of patients are unnecessarily subjected to lymphadenectomy. Methods: Current lymphoscintigraphy methods only identify the anatomic location of the SLNs but do not provide information on their tumor status. There are no non-invasive methods to reliably identify metastases in LNs before surgery. We have developed positron lymphography (PLG), a method to detect tumor-positive LNs, where ¹⁸F-fluoro-2-deoxy-D-glucose (¹⁸F-FDG) is injected interstitially into the uterine cervix the day of surgery, and its rapid transport through the lymphatic vessels to the SLN is then visualized with dynamic positron emission tomography/computed tomography (PET/CT). We previously showed that PLG was able to identify metastatic LNs in animal models. Here, we present the first results from our pilot clinical trial (clinical trials identifier NCT02285192) in 23 patients with uterine or cervical cancer. On the morning of surgery, ¹⁸F-FDG was injected into the cervix, followed by an immediate dynamic PET/CT scan of the pelvis and a delayed 1-h whole body scan. Results: There were 3 (15%) node-positive cases on final pathologic analysis, and all LNs (including one with a focus of only 80 tumor cells) were identified by PLG except one node with an 11-mm micrometastasis. There were 2 (10%) false-positive cases with PLG, in which final pathology of the corresponding SLNs was negative for tumor. Methods: Current lymphoscintigraphy methods only identify the anatomic location of the SLNs but do not provide information on their tumor status. There are no non-invasive methods to reliably identify metastases in LNs before surgery. We have developed positron lymphography (PLG), a method to detect tumor-positive LNs, where ¹⁸F-fluoro-2-deoxy-D-glucose (¹⁸F-FDG) is injected interstitially into the uterine cervix the day of surgery, and its rapid transport through the lymphatic vessels to the SLN is then visualized with dynamic positron emission tomography/computed tomography (PET/CT). We previously showed that PLG was able to identify metastatic LNs in animal models. Here, we present the first results from our pilot clinical trial (clinical trials identifier NCT02285192) in 23 patients with uterine or cervical cancer. On the morning of surgery, ¹⁸F-FDG was injected into the cervix, followed by an immediate dynamic PET/CT scan of the pelvis and a delayed 1-h whole body scan. Results: There were 3 (15%) node-positive cases on final pathologic analysis, and all LNs (including one with a focus of only 80 tumor cells) were identified by PLG, except for one node with an 11-mm micrometastasis. There were 2 (10%) false-positive cases with PLG, in which final pathology of the corresponding SLNs was negative for tumor. Conclusion: This first-in-human study of PLG in women with uterine and cervical cancer demonstrates its feasibility and its ability to identify patients with nodal metastases, and warrants further evaluation in additional studies.

Objective: To develop a novel approach to generate individual maps of white matter (WM) innate immune cell activation using ¹⁸F-DPA-714 translocator protein (TSPO) positron emission tomography (PET), and to explore the relationship between these maps and individual trajectories of disability worsening in patients with multiple sclerosis (MS). Methods: Patients with MS (n = 37), whose trajectories of disability worsening over the 2 years preceding study entry were calculated, and healthy controls (n = 19) underwent magnetic resonance magnetic and ¹⁸F-DPA-714 PET. A threshold of significant activation of ¹⁸F-DPA-714 binding was calculated with a voxel-wise randomized permutation-based comparison between patients and controls, and used to classify each WM voxel in patients as characterized by a significant activation of innate immune cells (DPA+) or not. Individual maps of innate immune cell activation in the WM were employed to calculate the extent of activation in WM regions-of-interests and to classify each WM lesion as "DPA-active", "DPA-inactive" or "unclassified". Results: Compared with the WM of healthy controls, patients with MS had a significantly higher percentage of DPA+ voxels in the normal-appearing WM, (NAWM in patients=24.9±9.7%; WM in controls=14.0±7.8%, p<0.001). In patients with MS, the percentage of DPA+ voxels showed a significant increase from NAWM, to perilesional areas, T2 hyperintense lesions and T1 hypointense lesions (38.1±13.5%, 45.0±17.9%, and 51.9±22.9%, respectively, p<0.001). Among the 1379 T2 lesions identified, 512 were defined as DPA-active and 258 as DPA-inactive. A higher number of lesions classified as DPA-active (OR=1.13, P = 0.009), a higher percentage of DPA+ voxels in the NAWM (OR=1.16, P = 0.009) and in T1-spin-echo lesions (OR=1.06, P = 0.036), were significantly associated with a retrospective more severe clinical trajectory in patients with MS. Conclusion: A more severe trajectory of disability worsening in MS is associated with an innate immune cells activation inside and around WM lesions. ¹⁸F-DPA-714 PET may provide a promising biomarker to identify patients at risk of severe clinical trajectory.

When users are defined in multiple groups associated with grid options set mappings, the first grid option set that is returned by the metadata search chain takes precedence. Only one grid options set mapping is used

Site-specific recombinases, such as Cre, are a widely used tool for genetic lineage tracing in the fields of developmental biology, neural science, stem cell biology, and regenerative medicine. However, nonspecific cell labeling by some genetic Cre tools remains a technical limitation of this recombination system, which has resulted in data misinterpretation and led to many controversies in the scientific community. In the past decade, to enhance the specificity and precision of genetic targeting, researchers have used two or more orthogonal recombinases simultaneously for labeling cell lineages. Here, we review the history of cell-tracing strategies and then elaborate on the working principle and application of a recently developed dual genetic lineage-tracing approach for cell fate studies. We place an emphasis on discussing the technical strengths and caveats of different methods, with the goal to develop more specific and efficient tracing technologies for cell fate mapping. Our review also provides several examples for how to use different types of DNA recombinase–mediated lineage-tracing strategies to improve the resolution of the cell fate mapping in order to probe and explore cell fate–related biological phenomena in the life sciences.

6 November 2015 , Volume 91, Number 6

This webinar discusses the first-ever profile of the 30 million immigrant-origin adults in the United States who lack a postsecondary credential such as a college degree, apprenticeship certificate, or occupational license. The researchers discuss their findings and policy implications with leading experts.

As the U.S. workforce ages and the economy becomes ever more knowledge-based, policymakers face a key question: Do workers have the skills to meet tomorrow's demands? This report examines how immigrants and their children—the primary source of future labor-market growth—fit into the discussion. The report offers a first-ever profile of the 30 million immigrant-origin adults without a postsecondary credential.

This webinar discusses the first-ever profile of the 30 million immigrant-origin adults in the United States who lack a postsecondary credential and offers analysis of the significant payoff credentials could bring in terms of workforce participation and wages.

Disaggregation regression has become an important tool in spatial disease mapping for making fine-scale predictions of disease risk from aggregated response data. By including high resolution covariate information and modelling the data generating process on a fine scale, it is hoped that these models can accurately learn the relationships between covariates and response at a fine spatial scale. However, validating these high resolution predictions can be a challenge, as often there is no data observed at this spatial scale. In this study, disaggregation regression was performed on simulated data in various settings and the resulting fine-scale predictions are compared to the simulated ground truth. Performance was investigated with varying numbers of data points, sizes of aggregated areas and levels of model misspecification. The effectiveness of cross validation on the aggregate level as a measure of fine-scale predictive performance was also investigated. Predictive performance improved as the number of observations increased and as the size of the aggregated areas decreased. When the model was well-specified, fine-scale predictions were accurate even with small numbers of observations and large aggregated areas. Under model misspecification predictive performance was significantly worse for large aggregated areas but remained high when response data was aggregated over smaller regions. Cross-validation correlation on the aggregate level was a moderately good predictor of fine-scale predictive performance. While the simulations are unlikely to capture the nuances of real-life response data, this study gives insight into the effectiveness of disaggregation regression in different contexts.

Abhirup Datta, Sudipto Banerjee, James S. Hodges, Leiwen Gao.

Source: Bayesian Analysis, Volume 14, Number 4, 1221--1244.

Abstract:
Hierarchical models for regionally aggregated disease incidence data commonly involve region specific latent random effects that are modeled jointly as having a multivariate Gaussian distribution. The covariance or precision matrix incorporates the spatial dependence between the regions. Common choices for the precision matrix include the widely used ICAR model, which is singular, and its nonsingular extension which lacks interpretability. We propose a new parametric model for the precision matrix based on a directed acyclic graph (DAG) representation of the spatial dependence. Our model guarantees positive definiteness and, hence, in addition to being a valid prior for regional spatially correlated random effects, can also directly model the outcome from dependent data like images and networks. Theoretical results establish a link between the parameters in our model and the variance and covariances of the random effects. Simulation studies demonstrate that the improved interpretability of our model reaps benefits in terms of accurately recovering the latent spatial random effects as well as for inference on the spatial covariance parameters. Under modest spatial correlation, our model far outperforms the CAR models, while the performances are similar when the spatial correlation is strong. We also assess sensitivity to the choice of the ordering in the DAG construction using theoretical and empirical results which testify to the robustness of our model. We also present a large-scale public health application demonstrating the competitive performance of the model.

Randy L. Buckner
Feb 11, 2009; 29:1860-1873
Neurobiology of Disease

MECP2 gain-of-function and loss-of-function in genetically engineered monkeys recapitulates typical phenotypes in patients with autism, yet where MECP2 mutation affects the monkey brain and whether/how it relates to autism pathology remain unknown. Here we report a combination of gene–circuit–behavior analyses including MECP2 coexpression network, locomotive and cognitive behaviors, and EEG and fMRI findings in 5 MECP2 overexpressed monkeys (Macaca fascicularis; 3 females) and 20 wild-type monkeys (Macaca fascicularis; 11 females). Whole-genome expression analysis revealed MECP2 coexpressed genes significantly enriched in GABA-related signaling pathways, whereby reduced β-synchronization within fronto-parieto-occipital networks was associated with abnormal locomotive behaviors. Meanwhile, MECP2-induced hyperconnectivity in prefrontal and cingulate networks accounted for regressive deficits in reversal learning tasks. Furthermore, we stratified a cohort of 49 patients with autism and 72 healthy controls of 1112 subjects using functional connectivity patterns, and identified dysconnectivity profiles similar to those in monkeys. By establishing a circuit-based construct link between genetically defined models and stratified patients, these results pave new avenues to deconstruct clinical heterogeneity and advance accurate diagnosis in psychiatric disorders.

SIGNIFICANCE STATEMENT Autism spectrum disorder (ASD) is a complex disorder with co-occurring symptoms caused by multiple genetic variations and brain circuit abnormalities. To dissect the gene–circuit–behavior causal chain underlying ASD, animal models are established by manipulating causative genes such as MECP2. However, it is unknown whether such models have captured any circuit-level pathology in ASD patients, as demonstrated by human brain imaging studies. Here, we use transgenic macaques to examine the causal effect of MECP2 overexpression on gene coexpression, brain circuits, and behaviors. For the first time, we demonstrate that the circuit abnormalities linked to MECP2 and autism-like traits in the monkeys can be mapped to a homogeneous ASD subgroup, thereby offering a new strategy to deconstruct clinical heterogeneity in ASD.

When I run simulation with irun, it may use may license features. How can I know which feature(s) a product use? I get below message in cdnshelp:

-------------------------------------------------------------

Which Products Are in the License File?

One Cadence product can require more than one license (FEATURE). The product to feature mapping in the license file lists the licenses each product needs.

For example, if the license file lists these features for the NC-VHDL Simulator:

Product Name: Cadence(R) NC-VHDL Simulator
#
Type: Floating Exp Date: 31-jul-2006 Qty: 1
#
Feature: NC_VHDL_Simulator [Version: 9999.999]
#
Feature: Affirma_sim_analysis_env [Version: 9999.999]

-------------------------------------------------------------------

But, in my license file, I can't find such info. There is only "FEATURE" lines in my license file. How can I get product to feature mapping info?

Thanks!

Countries can minimize the economic risk of epidemics by investing in the tools needed to predict disease emergence.

Site-specific recombinases, such as Cre, are a widely used tool for genetic lineage tracing in the fields of developmental biology, neural science, stem cell biology, and regenerative medicine. However, nonspecific cell labeling by some genetic Cre tools remains a technical limitation of this recombination system, which has resulted in data misinterpretation and led to many controversies in the scientific community. In the past decade, to enhance the specificity and precision of genetic targeting, researchers have used two or more orthogonal recombinases simultaneously for labeling cell lineages. Here, we review the history of cell-tracing strategies and then elaborate on the working principle and application of a recently developed dual genetic lineage-tracing approach for cell fate studies. We place an emphasis on discussing the technical strengths and caveats of different methods, with the goal to develop more specific and efficient tracing technologies for cell fate mapping. Our review also provides several examples for how to use different types of DNA recombinase–mediated lineage-tracing strategies to improve the resolution of the cell fate mapping in order to probe and explore cell fate–related biological phenomena in the life sciences.

Select agents (SA) pose unique challenges for licensing vaccines and therapies. In the case of toxin-mediated diseases, HHS assigns guidelines for SA use, oversees vaccine and therapy development, and approves animal models and approaches to identify mechanisms for toxin neutralization. In this commentary, we discuss next-generation vaccines and therapies against ricin toxin and botulinum toxin, which are regulated SA toxins that utilize structure-based approaches for countermeasures to guide rapid response to future biothreats.

RiVax is a promising recombinant ricin toxin A subunit (RTA) vaccine antigen that has been shown to be safe and immunogenic in humans and effective at protecting rhesus macaques against lethal-dose aerosolized toxin exposure. We previously used a panel of RTA-specific monoclonal antibodies (MAbs) to demonstrate, by competition enzyme-linked immunosorbent assay (ELISA), that RiVax elicits similar serum antibody profiles in humans and macaques. However, the MAb binding sites on RiVax have yet to be defined. In this study, we employed hydrogen exchange-mass spectrometry (HX-MS) to localize the epitopes on RiVax recognized by nine toxin-neutralizing MAbs and one nonneutralizing MAb. Based on strong protection from hydrogen exchange, the nine MAbs grouped into four spatially distinct epitope clusters (namely, clusters I to IV). Cluster I MAbs protected RiVax's α-helix B (residues 94 to 107), a protruding immunodominant secondary structure element known to be a target of potent toxin-neutralizing antibodies. Cluster II consisted of two subclusters located on the "back side" (relative to the active site pocket) of RiVax. One subcluster involved α-helix A (residues 14 to 24) and α-helices F-G (residues 184 to 207); the other encompassed β-strand d (residues 62 to 69) and parts of α-helices D-E (154 to 164) and the intervening loop. Cluster III involved α-helices C and G on the front side of RiVax, while cluster IV formed a sash from the front to back of RiVax, spanning strands b, c, and d (residues 35 to 59). Having a high-resolution B cell epitope map of RiVax will enable the development and optimization of competitive serum profiling assays to examine vaccine-induced antibody responses across species.

A logistic regression model and a bivariate statistical analysis were used in this paper to evaluate the groundwater recharge susceptibility. The approach is based on the assessment of the relationship involving groundwater recharge and parameters that influence this hydrological process. Surface parameters and aquifer-related parameters were evaluated as thematic map layers using ArcGIS. Then, a weighted-rating method was adopted to categorize each parameter's map. To assess the role of each parameter in the aquifer recharge, a logistic regression model and a bivariate statistical analysis were applied to the Guenniche phreatic aquifer (Tunisia). Models are explored to establish a map showing the aquifer recharge susceptibility. The code Modflow was used to simulate the consequence of the recharge. The recharge amount was introduced in the model and was tested to verify the recharge effect on the hydraulic head for the two models. The obtained results reveal that the recharge as mapped in the bivariate statistical model has a minor impact on the hydraulic head. Results of the logistic regression model are more significant as the hydraulic head is widely affected. This model provides good results in mapping the spatial distribution of the aquifer recharge susceptibility.

In recent years, there have been intensive debates on whether healthy adults acquire new word knowledge through fast mapping (FM) by a different mechanism from explicit encoding (EE). In this study, we focused on this issue and investigated to what extent retention interval, prior knowledge (PK), and lure type modulated memory after FM and EE. Healthy young participants were asked to learn novel word-picture associations through both FM and EE. Half of the pictures were from familiar categories (i.e., high PK) and the other half were from unfamiliar categories (i.e., low PK). After 10 min and 1 wk, the participants were tested by forced-choice (FC) tasks, with lures from different categories (Experiment 1) or from the same categories of the target pictures (Experiment 2). Pseudowords were used to denote names of the novel pictures and baseline performance was controlled for each task. The results showed that in both Experiments 1 and 2, memory performance remained stable after FM, while it declined after EE from 10 min to 1 wk. Moreover, the effect of PK appeared at 10 min after FM while at 1 wk after EE in Experiment 2. PK enhanced memory of word-picture associations when the lures were from the same categories (Experiment 2), rather than from different categories (Experiment 1). These results were largely confirmed in Experiment 3 when encoding condition was manipulated as a between-subjects factor, while lure type as a within-subjects factor. The findings suggest that different from EE, FM facilitates rapid acquisition and consolidation of word-picture knowledge, and highlight that PK plays an important role in this process by enhancing access to detailed information.

A new method called MicroMapping can identify nanoscale protein–protein interactions on live cells.

A spate of recent news accounts reveals what many experts have feared: Black communities in the U.S. are experiencing some of the highest fatality rates from COVID-19. But without an understanding of the policy contexts that have shaped conditions in Black-majority neighborhoods, one may assume the rapid spread of the coronavirus there is caused by…

Analysis of dozens of publicly created redistricting plans shows that map-making technology can improve political representation and detect a gerrymander.  In 2012, President Obama won the vote in Ohio by three percentage points, while Republicans held a 13-to-5 majority in Ohio’s delegation to the U.S. House. After redistricting in 2013, Republicans held 12 of Ohio’s…

This Montreal collective is creating an online, crowd-sourced map that will document the city's wild spaces.

Now we'll be able to see air pollution information along with city maps.

This past Thursday, at the business conference Opportunity Green, one panel entitled Next Generation Carbon Mapping: Radical Transparency and Truth in Advertising captured the attention of the standing room only audience at

Originally posted on - blogs by NPG staff