Overview
m-Path is a flexible, user-friendly research platform for ambulatory assessment and intensive longitudinal data collection. It offers features including ESM/EMA, cognitive tests, mobile sensing, and visual feedback, with a point-and-click interface requiring no coding. The platform is trusted by 250+ universities and has processed 7M+ completed surveys across 10K+ dashboard projects.
Leadership & org chart
In the news
- SEMA³ is being discontinued. m-Path Software is grateful to step in and help #ESM / # EMA researchers make a smooth transition. 👉 https://lnkd.in/eKvG6E6f
- SEMA³ is closing and recommends m-Path as its preferred alternative! For many years, SEMA³ has helped researchers conduct #ESM / #EMA studies, completely free of charge. Unfortunately, maintaining an academic research platform without structural funding is challenging. The SEMA³ team at the University of Melbourne has therefore decided to gradually discontinue the platform in 2027. We are grateful that the SEMA³ team has chosen m-Path as its first recommended alternative, and we are committed to make the transition as smooth as
- Which sampling scheme should you use for your #ESM / #EMA study? 🤔 Fixed, random, semi-random, event-based, sensing-triggered, burst designs... There are quite a few options, each with their own advantages and limitations!⚡ Especially for researchers new to this methodology, figuring out which sampling scheme best fits their research question may be challenging. To help researchers navigate these choices, we've put together a new guide that compares the different sampling strategies, including when (and when not) to use them.
- STATUS UPDATE: Our dashboard is live again, and the #PHP vulnerabilities have been patched.
- STATUS UPDATE: m-Path dashboard is live again! PHP vulnerabilities have been patched * ⚠️ Temporary unavailability of the m-Path dashboard As you may have read in the news, a critical security issue has been identified in #PHP, a widely used programming language that powers a large part of the internet. The vulnerability affects web infrastructure worldwide, prompting many organizations to temporarily take their services offline as a precaution. To ensure the security of our platform and your data, we have also temporarily
- Feedback after (or during) an #ESM / #EMA study? Read about the possibilities and recommendations in our new blogpost! 🤓
- How do you provide insightful, personalized feedback in #ESM / #EMA studies? 📊 After answering dozens of questions about daily experiences, participants may understandably want to know what all that data reveals about them. But simply showing participants their own data does not necessarily mean they will gain meaningful insight from it. So how can we turn their responses into feedback that is actually useful? 🤔 In our latest m-Path blog, we explore three ways to provide personalized #feedback, from simple in-app graphs
- Meet Jiayue Sun, who is joining m-Path for her internship at KU Leuven! 👋 During her internship, Jiayue will dive into an important methodological question in mobile #sensing research: why do some studies achieve much better data coverage than others? She will explore individual differences and predictors of sensing coverage, with the goal of translating those findings into practical, evidence-based guidelines for researchers. In other words: what can you actually do, when designing and running an #EMA study involving passive
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