Gurobi Optimization’s Post

observe the importance of edelman finalist as examples of the best work in operations research in multiple sectors besides the un go back a few years for polio and before that seed placement. watch for more exciting examples spring of 2025

Here are the five lessons from Gurobi Optimization's panel on Academics Changing the World: 1. There are plenty of interesting non-profit or public sector problems. (Julie Aho, CSCP.. this is a point you've made-- I let my students know that you said this!) 2. The diet problem has interesting applications! 3. “Get data without being annoying” 4. Visualization and user interaction with the solution is important. 5. Get data from all stakeholders, not just the dominant voices. See the article for more details, including a link to a great INFORMS Edelman Prize winner: the UN World Food Programme. Thanks to Duke Perrucci for hosting. And, thanks to Karen Smilowitz, Ozlem Ergun, and Dick den Hertog for the great insights.

🦃 This Thanksgiving, Let Empirika Transform Your Raw Data into a Feast of Insights 🔬 As we gather to give thanks, let’s celebrate the incredible work of life sciences researchers who push the boundaries of discovery. At Empirika, we’re here to support you by turning your raw data into publication-ready Results sections that stand out in any journal. Our recipe for success: Data Cleaning & Validation: Ensure your data is as crisp as your Thanksgiving turkey. Advanced Statistical Analysis: Extract insights that are as rich as your holiday feast. Professional Visualizations: Craft stunning charts and figures to highlight your findings. Journal-Ready Results: Deliver polished sections that are ready to be served to the scientific community. This Thanksgiving, let’s give your research the professional touch it deserves. Empirika is here to make your data a reason to be thankful. #DataScience #LifeSciences #Thanksgiving #PublicationReady #Empirika #ResearchExcellence

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One thing that's become very clear over the past few decades: most authors don't spontaneously comply with editorial requirements, and this is doubly true for Open Science policies. Strengthening the policies helps a bit, but what really moves the needle is showing authors how the broadly worded policy applies to their article. DataSeer achieves this by cataloging the data and other outputs in their article and highlighting what needs to be publicly shared. The authors are then clear on what they need to do. Since the stakeholder can also see the catalog, the authors are also accountable to the journal/funder/institution for doing that Open Science work. That's why we (DataSeer) are so excited by this partnership with the AAAS – the MDAR is a golden opportunity for the authors to catalog the outputs associated with their article, but most (unhelpfully) enter 'see article for details' in every field. By creating a pre-filled MDAR for the authors, we'll flip this dynamic on its head: it will be immediately clear to authors which output have yet to be shared, and they'll have the accountability of knowing that their MDAR will be visible to Science editors and readers.

Hello LinkedIn community! 🌟 Excited to share my first data analysis portfolio project that was part of atomcamp bootcamp. 🌟 This project involved comprehensive analysis on healthcare data of Pakistan using Excel. 📊 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗢𝗯𝗷𝗲𝗰𝘁𝗶𝘃𝗲𝘀: ⬇️ 𝗣𝗮𝘁𝗶𝗲𝗻𝘁 𝗗𝗲𝗺𝗼𝗴𝗿𝗮𝗽𝗵𝗶𝗰𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 Analyzed age, gender, height, and weight distribution across hospitals. 𝗗𝗶𝘀𝗲𝗮𝘀𝗲 𝗣𝗿𝗲𝘃𝗮𝗹𝗲𝗻𝗰𝗲 Identified common diseases and their distribution across cities and provinces. 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗖𝗼𝘀𝘁𝘀 Assessed treatment costs and the financial burden on patients with and without insurance. 𝗛𝗼𝘀𝗽𝗶𝘁𝗮𝗹 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 Compared patient volume, treatment costs, and other key metrics across hospitals. 𝗔𝗱𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗮𝗻𝗱 𝗗𝗶𝘀𝗰𝗵𝗮𝗿𝗴𝗲 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 Determined peak times for admissions and discharges to optimize resource allocation. 𝗚𝗲𝗼𝗴𝗿𝗮𝗽𝗵𝗶𝗰𝗮𝗹 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 Analyzed patient distribution and healthcare needs across cities and provinces. 𝗗𝗮𝘁𝗮-𝗗𝗿𝗶𝘃𝗲𝗻 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗠𝗮𝗸𝗶𝗻𝗴 The primary objective of this analysis project was to provide valuable insights to healthcare providers and policymakers for improving healthcare services and outcomes. 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄: ⬇️ 🛠️ 𝗗𝗮𝘁𝗮 𝗖𝗹𝗲𝗮𝗻𝗶𝗻𝗴: Prepared and refined the dataset for analysis. 📊 𝗣𝗶𝘃𝗼𝘁 𝗧𝗮𝗯𝗹𝗲𝘀: Summarized data to uncover key metrics 📈 𝗖𝗵𝗮𝗿𝘁𝘀 𝗮𝗻𝗱 𝗚𝗿𝗮𝗽𝗵𝘀: Visualized data for impactful presentation. 🔎 𝗗𝗿𝗮𝘄𝗶𝗻𝗴 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀: Analyzed visualized data to derive conclusions. A special thanks to Sir Naveed Iftikhar, atomcamp team and instructors Maimoona Khilji Iqra J. for providing an amazing growth oriented learning environment. 🙏 Any tips for further improvement? Let me know in the comments! 👇 #Excel #DataAnalysis #DataScience #DataAnalytics #DataInsights #DataVisualization #Healthcare #atomcamp

Back again with #DATA In today’s data-driven world, organizations are increasingly leveraging statistical knowledge to enhance decision-making, optimize operations and drive innovation. The integration of trending statistical knowledge into organizational practices is transforming how businesses operate today. By embracing advanced analytics techniques, fostering a culture of data literacy, emphasizing ethical considerations and utilizing effective communication strategies for insights gained from statistics, organizations can position themselves competitively in an increasingly complex marketplace. Derrine Charity Foundation, Uganda Martyrs University Official, Uganda Innovation Week, Uganda Red Cross Society, Makerere University, UNSW Data Science Hub (uDASH), Save the Children International

Data and Analytics are the new future, no matter which profession you are into Data science and analytics are essential across all sectors, from management to medicine, as they empower professionals to make informed decisions based on evidence rather than intuition. In management, data-driven insights enhance strategic planning, operational efficiency, and customer understanding, leading to better outcomes. In healthcare, analytics can improve patient care, optimize resource allocation, and advance medical research. Overall, leveraging data helps organizations stay competitive, innovate, and address complex challenges effectively. Embracing data science is no longer optional; it’s a crucial skill for driving success in any field. #upgradnepal #mentorlabedx #oncologist #onlinelearning

🔬 From Raw Data to Publication-Ready Results: Empower Your Research with Empirika 🔬 Empirika proudly stands by the values of precision, unity, and progress. We’re dedicated to empowering scientists by transforming raw data into publication-ready, high-quality Results sections that meet the highest standards in scientific research. Here’s what we offer to life sciences researchers: Rigorous Data Cleaning & Preprocessing: Start with data you can trust. Advanced Analysis: Extract valuable insights with tailored statistical techniques. Publication-Quality Visualizations: Craft impactful figures and charts that highlight key findings. Polished Results Sections: Create journal-ready Results that communicate your findings clearly and effectively. At Empirika, we believe in the power of collaboration and innovation, knowing that every research breakthrough is a step forward for us all. Join us in transforming your data into impactful science. Together, we move forward. #DataScience #ResearchExcellence #Empirika #LifeSciences #Unity #Innovation