Several tools and techniques can help mitigate sampling bias: - High-Throughput Screening: This allows for the rapid testing of a large number of catalysts under various conditions. - Statistical Software: Tools like R or Python libraries can help analyze data for signs of bias. - Meta-Analysis: Combining data from multiple studies to get a more comprehensive view.