• Optimizing Biomanufacturing 1,2,4-butanetriol with JMP Hybrid DOE and SVEM (2026-US-PO-2976) Biomanufacturing 1,2,4-butanetriol (BT) has been of interest due to its utility as a precursor. Efforts to engineer cells to produce BT have had mixed success. In this project, we explored the production of BT with cell-free metabolic engineering, where cell lysates containing each of the enzymes needed to produce BT are mixed along with the precursor xylose as well as multiple cofactors. The desig...
    Skill level: advanced
  • Statistically Steeped: A DOE Methodology for Cold Brew Extraction (2026-US-30MP-2911) Have you ever wondered why your home-brewed coffee never tastes as good as the coffee at your favorite coffee shop? Small changes in water temperature, grind size, water-to-coffee ratio, and brew time can have big effects on brew quality, which is why a systematic, scientific process is necessary for achieving the "perfect cup." In this presentation, we apply the design of experiments (DOE) methodo...
    Skill level: intermediate
  • Tips and Tricks for Analyzing Data from an Industrial Batch Process (2026-US-30MP-2879) Retrieving the data from an industrial process historian, such as an AspenTech IP.21 historian, is only the first step in the analysis of a batch process. (We previously covered those steps at the 2025 JMP Discovery Conference in Austin.)  In this paper, we cover the key steps needed to gain valuable insight into your process by using real data from a batch process. We start by giving you four...
    Skill level: intermediate
  • Can We Talk…About Sample Size? (2026-US-30MP-2930) As soon as we start to learn about statistical tools, such as those enabled with JMP, the concept of sampling and sample size becomes important. Regulated industries, such as medical devices, require a justification of sample size determination when making design or process changes, as well as for verification/validation of performance. There is a nearly mystical relationship between sample size an...
    Skill level: beginner
  • The Power of Simulation In Design of Experiments (2026-US-30MP-2885) When designing an experiment, you might not be ready to run the experiment and collect the real data for the results. The Simulate Responses feature in JMP allows you to create data to mimic a real-world response, as a stand-in for the data until the experiment has been completed. This presentation discusses the benefits of simulation when creating a designed experiment; it also includes ...
    Skill level: beginner
  • Modeling O2 Ingress During Barrel Aging: Automated Script and Model Detection Based on Kinetic Data (2026-EU-30MP-2828) The R&D team at Chêne & Cie has developed an innovative device enabling in situ and continuous monitoring of wine evolution within oak barrels. Among the integrated sensors, one specifically measures dissolved oxygen.To better characterize the barrel-aging process, it is essential to model the oxygen ingress events observed in our kinetic data. These events are typically marked by sharp pea...
  • Build a Python-based JMP Data Connector in Minutes (2026-EU-30MP-2638) The Python interface to Query Builder provides a convenient mechanism to build your own custom data connector and still use the querying capabilities within the JMP interface. But, is it so easy to use that you can build a complete connector in a single Discovery talk? See for yourself in this fast-paced session that should give you enough information to return to work to build your own data c...
  • Data Analysis, Generative AI, and the Human Factor (2026-EU-30MP-2804) Remember when machine learning was the next big thing, and after that, data mining? Each time, the end of statistical modeling was predicted – wrongly so. Now, what about the impact of generative AI on statistical data analysis? Can we leave data analysis to AI? Should we, perhaps, stop teaching applied statistics to scientists and engineers? In this presentation, we test the capabilities of g...
    Skill level: beginner
  • Script Happens: Making JMP Scripting Language Learning Easy (2026-EU-30MP-2773) Learning a new programming language can be intimidating, but JMP provides tools for making this process easier. This talk discusses saving a script, the scripting index, the new JMP Assistant add-in, and integrating with Python. Whether you are learning JSL for the first time or learning a new platform, saving a script from a visualization or data table provides a great first step to insp...
    Skill level: beginner
  • Understanding and Optimizing a Photopolymerization Process in Dispersed Media (2026-EU-PO-2810) Calyxia is an industrial scale-up specializing in the design and manufacture of microcapsules that combine biodegradability and high performance. It offers its solutions in three markets: home and beauty, agriculture, and advanced materials. During the microcapsule manufacturing process, controlling the formation of the microcapsule wall is essential to produce a high-quality final p...
    Skill level: beginner
  • Linking Process Parameters to Dissolution Behaviour in Generic Tablet Development (2026-EU-PO-2784) In this poster, we present a modelling workflow using JMP Pro 18 to link process parameters with dissolution behaviour for a generic film-coated tablet (FCT) under development. The dissolution profile is modelled using a three-parameter Weibull growth function (Asymptote, Location, Growth Rate), automatically fitted via a custom JSL script that extracts parameters across batches and integrates the...
  • A Practical Approach to Teaching DOE for Biomanufacturing Using JMP (2026-EU-PO-2865) Design of experiments (DOE) is a cornerstone of process development in the biopharmaceutical industry and a key component of Quality by Design (QbD) principles. However, many professionals entering the biomanufacturing field come from diverse academic backgrounds with limited exposure to structured experimental design. To address this gap, a three-day intensive course was developed at  the Bio...
    Skill level: beginner
  • Utilising JMP for the Validation of a GxP Regulated Bioassay (2026-EU-PO-2831) The current software (MiniTab) being used requires operator input to perform statistical tests. It also lacks automation, which increases the potential risk. Certain statistical (proportionality) tests in MiniTab also require a manual reformatting of data spreadsheets to pair relevant data points together for analysis, which can pose a significant risk to data integrity. The sol...
    Skill level: beginner
  • Lost in JMP? Slimming Down for a Better Fit (2026-EU-PO-2802) A software that has been evolving for more than 35 years is a double-edged sword: while experienced users appreciate every new capability, newcomers can feel overwhelmed by too many options and distracted by extensive outputs. Using examples from teaching Intro Stats with JMP – with young learners and undergraduate courses in mind – we explore ways to simplify and focus the JMP experience...
    Skill level: beginner
  • Silo Solution: Decentralize Analytics to Ignite a Data Revolution (2026-EU-30MP-2815) When JMP is initially introduced in a company, it is usually through a few analytical advocates. When they discover that JMP quickly reveals otherwise hidden data insights, they are eager to share their new learnings and findings. However, despite their efforts, the increased data awareness remains in isolated pockets. Years may pass with no further growth. The root of this does not lie in the soft...
    Skill level: beginner
  • How Airbus Standardized Industrial Geometrical Capability Assessment Across Sites (2026-EU-30MP-2854) Airbus manufacturing engineering teams regularly analyze measured deviations in manufacturing processes to ensure process and product quality. This analysis, called Industrial Geometrical Capability Assessment (IGCA), is a key enabler to support co-design with the design office. It involves grouping data into clusters and evaluating them over specific time periods. However, performing these assessm...
  • JMP from the Ground Up: Time-Tested Features and the Mindset That Powers Them In this plenary, we invite you on a journey back to the foundational elements that have powered JMP for decades. We explore the core tools and philosophy that have made JMP an indispensable companion for engineers and scientists, from its earliest iterations to its present-day innovations. Hear from John Sall and others about how these fundamental features came about and continue to evolve. Whether...
    Plenary
  • Exploration, Experimentation, Interpretation: Social Science Data Story with JMP 본 발표에서는 탐색–실험–해석의 흐름을 따라 설문조사 데이터 분석과 마케팅 적용 사례를 다룰 예정입니다. 탐색: 설문조사 데이터 탐색 Graph Builder를 활용한 시각적 탐색 설문 결과의 신뢰도와 타당도 검토 실험: 마케팅 분야 적용 의사결정을 지원하는 마케팅 기법 소개 실험계획법(DOE)과의 유사점 및 차이점 JMP를 활용한 분석 사례: A/B 테스트, MaxDiff, 컨조인트 분석 해석: 구조방정식모형(SEM) 적용 경로분석(Path Analysis) 소개 매개(Mediating)와 조절(Moderating) 효과 비교 이를 통해 참가자들은 설문 데이터 분석의 다양한 접근법을 이해하고, 마케팅 및 사회과학 분야에서 JMP를 활용한 실질적 분석 전략을 ...
  • 딥블루 대 알파고, 그리고 설명가능한 인공지능 고대 그리스 탈로스에서 시작된 인공지능의 꿈은 챗지피티를 통해 현실이 되었습니다. 이제 인공지능 특이점 이후 발전 방향에 대한 예측이 필요한 시점입니다. 발전 방향은 벡터이기에 변화의 관성을 파악하려면 과거를 알아야 합니다. 컴퓨터 탄생 이래 인공지능 발전은 기호주의와 연결주의 대결이 이끌어왔습니다. 이 대결의 본질은 데이터에 대한 관점의 차이입니다. 이번 강연에서는 의학 통계 관점에서 인공지능의 발전 과정을 되짚어 볼 것입니다. 이를 통해 미래의 화두인 설명가능한 인공지능에서 왜 통계적 통찰이 요구되는지 확인할 수 있을 것입니다.            
    Skill level: beginner
  • 開会のご挨拶/基調講演:イノベーションの拡大:エンジニアリング・ワークフローへのデータサイエンス統合 10:00~10:15:開会のご挨拶10:15~11:15:基調講演今日のエンジニアリングにおける課題は、もはや局所的な解決策だけでは不十分です。データサイエンスの手法をデータ分析のワークフローに組み込むための、拡張性が高く柔軟なツールが求められています。JMPの製品群は、統計解析、プロセス最適化、データ視覚化のための強力なプラットフォームを提供し、エンジニアが日々の問題解決を超えて活躍できる環境を創造します。このセッションでは、複雑で大規模な問題への取り組みに焦点を当て、JMPがどのようにエンジニアリング・データサイエンスを支援するかを深掘りします。あわせて、データアクセス、プロセススクリーニング、環境モニタリング、グループ別分析、モデル・応答スクリーニング、そしてJMP Liveとの統合といったツールに焦点を当て、JMPが多様なニーズにどのように対応するかを解説します。具体的な事例やデモ...
    Skill level: beginner
  • 15 Things You Didn't Know You Can Do in Control Chart Builder (2025-US-30MP-2465) Did you know there’s an option to show only the last 20 subgroups on a control chart? Now that Control Chart Builder has been around for more than 15 years, the feature set has matured, bringing in many new features together with all the features you love from the legacy dontrol charts. This talk covers detailed dialogs, limits manipulation, saving and retrieving, along with other new features...
    Skill level: beginner
  • Semiconductor Spin Coating Application: Optimization of Coat Uniformity (2025-US-PO-2588) My project covers the application of solution coating onto a semiconductor wafer and the optimization of the process inputs. The goal is to improve targeting capability of outputting a consistent thickness and minimizing the thickness standard deviation, providing a more uniform thickness measurement across the entire surface of the wafer. The tools used in JMP include DOE, Fit Least Squares a...
    Skill level: beginner
  • Automating Statistical Comparison Analyses with a JMP Add-In (2025-US-PO-2477) As a statistician working at a CDMO, I frequently conduct comparability studies on diverse data from various departments. These studies involve comparing methods, scales, sites, years, and more. Our general approach includes visual comparisons, variance tests, t-tests, and TOSTs. However, analyzing numerous variables and data sets can be time-consuming, particularly as TOSTs require manually enteri...
  • Identifying Sentiment in Mistreatment of Reverse Mortgage Borrowers & Heirs (2025-US-PO-2411) Consumer advocacy organizations reviewing lawsuits against reverse mortgage lenders identify hostile treatment of older borrowers and their heirs. The Consumer Financial Protection Board (CFPB) collected official complaints and provides an analysis file (as of end of 2024). Borrowers’ reverse mortgages may be foreclosed for failure to pay taxes and assessment, failure to pay insurance, or fail...
    Skill level: beginner
  • Evaluating the Impact of Torpedo Bats in Major League Baseball Using JMP (2025-US-PO-2409) Torpedo bats, which diverge from the traditional tapering bat shape, have drawn widespread attention following a surge in power production from players adopting them. While the spike in home runs has sparked public interest, this project investigates whether the unique bat design corresponds with measurable changes in player performance. Using MLB Statcast data accessed via PyBaseball and Baseball ...