High level description of the Climate Watch platform. The platform helps keep track of and understand environmental conditions in real time and is built on open source, open hardware and open data.
Project Sense introduces a cost efficient system that uses drones equipped with environmental sensors to sample ship plumes and detect non-compliant emissions during cruise. By combining sensor data with AIS data and advanced analysis, the system can report violations of emission regulations in real-time to enable effective enforcement. Project Sense takes an innovative approach with low-cost drones to monitor ship emissions and does not require highly sensitive sensors. It can scale quickly to cover many geographies simultaneously using inexpensive, ready-available hardware and custom software to handle large amounts of data.
eMAST aims to integrate data from TERN and other sources to model ecosystems at all scales in Australia from 2013-2015. This will be done using data assimilation, model evaluation and optimization tools to further ecosystem science and help address questions about topics like carbon, water, climate change, fire, and biodiversity. Key products being delivered include high resolution climate and productivity datasets as well as tools for data analysis, interpolation and modeling. Progress includes the development and delivery of ANUClimate climate datasets and the ePiSaT model for estimating primary productivity across Australia using flux tower and satellite data.
We the vitality of Mathematics in other field of sciences but we don't how and where it is being used. Here is another side of picture that how Mathematics lead us to explore the deep world of sciences like, geology, geography, earth sciences etc
This 3-page thesis proposes a mission to place a radio telescope array called LOFAR on the lunar surface to study the early universe. It evaluates using either chemical or electrical propulsion systems to maximize the payload mass delivered by the spacecraft. The design of the orbital trajectory and landing configuration are analyzed.
The document discusses ICCC activities related to developing methodologies for monitoring drivers of fires and haze in Indonesia and estimating greenhouse gas emissions. Key outputs include protocols for monitoring drivers, an early warning system, and more accurate estimates of emissions, human health impacts, and patterns of drivers. It also summarizes challenges in detecting smoldering peatland fires using satellites and presents preliminary findings from a project using nighttime satellite data to estimate peatland fire emissions.
Global warming is threatening the planet through melting ice caps and rising sea levels. Scientific findings show the arctic regions are melting the fastest and areas like Europe, Alaska, Greenland are at high risk of flooding in the coming years. This is due to multiple factors like pollution depleting the ozone layer, acid rain eroding glaciers faster, and carbon emissions trapping heat. Recent data shows over 200,000 square miles less Arctic ice and melting rates of over 0.25 km of ice thickness per decade, contributing to rising temperatures worldwide.
The document discusses Earthwatch, an organization that promotes sustainability through citizen science projects. It engages volunteers to help collect scientific data on climate change by observing and recording indicator species. Volunteers record data on species locations, behaviors, and phenology through the ClimateWatch program. This program allows everyday Australians to contribute to the country's response to climate change. It has engaged over 3,500 citizen scientists annually and led to over 150 new species discoveries and 139 new management strategies.
ClimateWatch allows Australian citizens to record observations of plants and animals to help scientists understand how climate change is impacting species. Volunteers record location, species, behavior, and date to build a long-term dataset. A technical advisory panel and science advisory panel ensure high quality data. Recorded observations are mapped and analyzed for trends related to temperature, flowering times, and more. Creating ClimateWatch trails engages more volunteers by selecting focal species and locations for regular monitoring. The program builds scientific knowledge while also educating participants.
Project Sense introduces a cost efficient system that uses drones equipped with environmental sensors to sample ship plumes and detect non-compliant emissions during cruise. By combining sensor data with AIS data and advanced analysis, the system can report violations of emission regulations in real-time to enable effective enforcement. Project Sense takes an innovative approach with low-cost drones to monitor ship emissions and does not require highly sensitive sensors. It can scale quickly to cover many geographies simultaneously using inexpensive, ready-available hardware and custom software to handle large amounts of data.
eMAST aims to integrate data from TERN and other sources to model ecosystems at all scales in Australia from 2013-2015. This will be done using data assimilation, model evaluation and optimization tools to further ecosystem science and help address questions about topics like carbon, water, climate change, fire, and biodiversity. Key products being delivered include high resolution climate and productivity datasets as well as tools for data analysis, interpolation and modeling. Progress includes the development and delivery of ANUClimate climate datasets and the ePiSaT model for estimating primary productivity across Australia using flux tower and satellite data.
We the vitality of Mathematics in other field of sciences but we don't how and where it is being used. Here is another side of picture that how Mathematics lead us to explore the deep world of sciences like, geology, geography, earth sciences etc
This 3-page thesis proposes a mission to place a radio telescope array called LOFAR on the lunar surface to study the early universe. It evaluates using either chemical or electrical propulsion systems to maximize the payload mass delivered by the spacecraft. The design of the orbital trajectory and landing configuration are analyzed.
The document discusses ICCC activities related to developing methodologies for monitoring drivers of fires and haze in Indonesia and estimating greenhouse gas emissions. Key outputs include protocols for monitoring drivers, an early warning system, and more accurate estimates of emissions, human health impacts, and patterns of drivers. It also summarizes challenges in detecting smoldering peatland fires using satellites and presents preliminary findings from a project using nighttime satellite data to estimate peatland fire emissions.
Global warming is threatening the planet through melting ice caps and rising sea levels. Scientific findings show the arctic regions are melting the fastest and areas like Europe, Alaska, Greenland are at high risk of flooding in the coming years. This is due to multiple factors like pollution depleting the ozone layer, acid rain eroding glaciers faster, and carbon emissions trapping heat. Recent data shows over 200,000 square miles less Arctic ice and melting rates of over 0.25 km of ice thickness per decade, contributing to rising temperatures worldwide.
The document discusses Earthwatch, an organization that promotes sustainability through citizen science projects. It engages volunteers to help collect scientific data on climate change by observing and recording indicator species. Volunteers record data on species locations, behaviors, and phenology through the ClimateWatch program. This program allows everyday Australians to contribute to the country's response to climate change. It has engaged over 3,500 citizen scientists annually and led to over 150 new species discoveries and 139 new management strategies.
ClimateWatch allows Australian citizens to record observations of plants and animals to help scientists understand how climate change is impacting species. Volunteers record location, species, behavior, and date to build a long-term dataset. A technical advisory panel and science advisory panel ensure high quality data. Recorded observations are mapped and analyzed for trends related to temperature, flowering times, and more. Creating ClimateWatch trails engages more volunteers by selecting focal species and locations for regular monitoring. The program builds scientific knowledge while also educating participants.
The Role of DAta for Climate Monitoring and PredictionNAP Events
Presentation by: Stefan Rösner
4.1 Climate services in support of NAPs
This event will bring together experts involved in the provision of climate services and testimony from countries of how climate services are being used to support decision-making and effective adaptation. The event will start with brief statements, and will be followed by a panel discussion, where participants from the floor will have the opportunity to engage the panelists with questions or comments. The panel will demonstrate the practical benefits of climate services in support of climate risk management and adaptation to climate variability and change. It will also provide lessons learned through various activities being implemented at regional and national level.
Presentation by Henry Neufeldt at the UN Paris COP21 side event hosted by the World Agroforestry Centre titled "Implementing INDC in data and tool scarce countries: Steps to success in Africa"
I have an interest in the world of insurance, which is a far more comprehensive and intricate industry than suggested by domestic insurers’ multi-policy discounts and the like.
In fact, commerce and industry in general would not operate without the insurance mechanism to support it.
Risk management is a related discipline, consisting of insurance (within its "risk transfer" component) and many other elements.
I also have a keen interest in climate change, and have felt for some time that its near-term and longer-term impacts are not fully appreciated by various major participants in the insurance industry. For that reason, I have developed this presentation, which I will soon expand into a more comprehensive discussion paper:
The document discusses various weather and climate concepts including:
- Weather is the current atmospheric conditions while climate is the average weather over time.
- High pressure systems are associated with clear skies and dry conditions while low pressure systems bring clouds and rain.
- Weather maps use lines of equal pressure (isobars) and symbols to show wind speed and direction helping predict future conditions.
Presentation by Sophia Huyer, CCAFS Gender and Social Inclusion leader, at the webinar on climate change and agricultural development.
Watch the webinar recording: https://www.youtube.com/watch?v=aBGaXlBLmog
Enhancing transparency in the land sector under the Paris Agreement: Bringing...CIFOR-ICRAF
Presented by Steven Lawry, Research Director for Governance, at the National Workshop on Translating Transparency Framework under the Paris Agreement into National Context, 26 January 2017, Jakarta, Indonesia.
Open Source Contributions to Postgres: The Basics POSETTE 2024ElizabethGarrettChri
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
"Financial Odyssey: Navigating Past Performance Through Diverse Analytical Lens"sameer shah
Embark on a captivating financial journey with 'Financial Odyssey,' our hackathon project. Delve deep into the past performance of two companies as we employ an array of financial statement analysis techniques. From ratio analysis to trend analysis, uncover insights crucial for informed decision-making in the dynamic world of finance."
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
Build applications with generative AI on Google CloudMárton Kodok
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
The Role of DAta for Climate Monitoring and PredictionNAP Events
Presentation by: Stefan Rösner
4.1 Climate services in support of NAPs
This event will bring together experts involved in the provision of climate services and testimony from countries of how climate services are being used to support decision-making and effective adaptation. The event will start with brief statements, and will be followed by a panel discussion, where participants from the floor will have the opportunity to engage the panelists with questions or comments. The panel will demonstrate the practical benefits of climate services in support of climate risk management and adaptation to climate variability and change. It will also provide lessons learned through various activities being implemented at regional and national level.
Presentation by Henry Neufeldt at the UN Paris COP21 side event hosted by the World Agroforestry Centre titled "Implementing INDC in data and tool scarce countries: Steps to success in Africa"
I have an interest in the world of insurance, which is a far more comprehensive and intricate industry than suggested by domestic insurers’ multi-policy discounts and the like.
In fact, commerce and industry in general would not operate without the insurance mechanism to support it.
Risk management is a related discipline, consisting of insurance (within its "risk transfer" component) and many other elements.
I also have a keen interest in climate change, and have felt for some time that its near-term and longer-term impacts are not fully appreciated by various major participants in the insurance industry. For that reason, I have developed this presentation, which I will soon expand into a more comprehensive discussion paper:
The document discusses various weather and climate concepts including:
- Weather is the current atmospheric conditions while climate is the average weather over time.
- High pressure systems are associated with clear skies and dry conditions while low pressure systems bring clouds and rain.
- Weather maps use lines of equal pressure (isobars) and symbols to show wind speed and direction helping predict future conditions.
Presentation by Sophia Huyer, CCAFS Gender and Social Inclusion leader, at the webinar on climate change and agricultural development.
Watch the webinar recording: https://www.youtube.com/watch?v=aBGaXlBLmog
Enhancing transparency in the land sector under the Paris Agreement: Bringing...CIFOR-ICRAF
Presented by Steven Lawry, Research Director for Governance, at the National Workshop on Translating Transparency Framework under the Paris Agreement into National Context, 26 January 2017, Jakarta, Indonesia.
Open Source Contributions to Postgres: The Basics POSETTE 2024ElizabethGarrettChri
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
"Financial Odyssey: Navigating Past Performance Through Diverse Analytical Lens"sameer shah
Embark on a captivating financial journey with 'Financial Odyssey,' our hackathon project. Delve deep into the past performance of two companies as we employ an array of financial statement analysis techniques. From ratio analysis to trend analysis, uncover insights crucial for informed decision-making in the dynamic world of finance."
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
Build applications with generative AI on Google CloudMárton Kodok
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!